Better Than Biohacking – The MOVEMENT Movement with Steven Sashen Episode 149 with Nick Urban Nick Urban is a Biohacker, Data Scientist, Athlete, Founder of Outliyr, and the Host of the Mind Body Peak Performance Podcast. He is a Certified CHEK Practitioner, a Personal Trainer, and a Performance Health Coach. Nick is driven by curiosity which has led him to study ancient medical systems (Ayurveda, Traditional Chinese Medicine, Hermedic Principles, etc), and modern science. Listen to this episode of The MOVEMENT Movement with Nick Urban about how biohacking isn't the best way to optimize your health. Here are some of the beneficial topics covered on this week's show: - How biohacking and the wellness world rely on placebos for treatment. - Why newborns and animals aren't affected by placebos in the same way as adults. - How being a bio-harmonizer is different than being a biohacker. - How the core principle of bio-harmonization is that everything in the body serves a purpose. - Why modern humans have lost the ability to assess what's going on inside us. Connect with Nick: Guest Contact Info Twitter@nicholasurban_ Instagram@mindbodypeakperformance Facebookfacebook.com/nick.urban1 Links Mentioned:mindbodypeak.com Connect with Steven: Website Xeroshoes.com Jointhemovementmovement.com Twitter@XeroShoes Instagram@xeroshoes Facebookfacebook.com/xeroshoes
Cara interviews Dr. Monica Keith, an Assistant Professor of Anthropology at Vanderbilt University and Data Scientist who studies longitudinal health and child growth in a biosocial framework. Monica uses Bayesian models to assess predictors of growth and health outcomes and integrates health, socio-ecological, and genetic data to study human variation and health disparities in diverse contexts. Monica currently works with three ongoing field studies in Dominica, Bangladesh, and Argentina, researching health, growth, and biodemography in rural and Indigenous populations. She also uses data from the NIH National Institute of Child Health and Human Development to address disparities in reproductive and maternal health in the US. She joins Cara to discuss her most recent work (in review) titled: "Racialized/ethnic disparities in pathways linking social determinants of health, markers of allostatic load, and hypertensive disorders of pregnancy among nulliparous US women." ------------------------------ Monica's e-mail: firstname.lastname@example.org Website: https://www.monicahkeith.com/ -------------------- Contact the Sausage of Science Podcast and Human Biology Association: Facebook: www.facebook.com/groups/humanbiologyassociation Website:humbio.org/, Twitter: @HumBioAssoc Cara Ocobock, Website: sites.nd.edu/cara-ocobock/, Email:email@example.com, Twitter:@CaraOcobock Chris Lynn, HBA Public Relations Committee Chair, Website: cdlynn.people.ua.edu/, Email: firstname.lastname@example.org, Twitter:@Chris_Ly Cristina Gildee, HBA Junior Fellow, SoS producer: E-mail: email@example.com
Who is Daliana? This is a conversation I had in 2021 with Harpreet Sahota. I talked about my unexpected journey to data science all the way back in high school, things I wish I could know earlier about my career, the projects I worked on, what is like to be a quote-and-unquote influencer on Linkedin, and more. If you want more content from me, I write about data science and career nerdy jokes, on my Linkedin and you can subscribe to my very infrequent newsletter at dalianaliu.com. I'm curious what you think about this episode, leave a comment on YouTube or send a DM on Linkedin. Hope you enjoy the Daliana special! Daliana's Newsletter: https://dalianaliu.com Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Harpreet's LinkedIn: https://www.linkedin.com/in/harpreetsahota204/ The artist of the data science podcast: https://theartistsofdatascience.fireside.fm/ (00:00:00) Introduction (00:02:52) Where did Daliana grow up (00:05:19) Daliana in highschool (00:07:11) How did she got into data science (00:11:36) Why is writing important for data scientist (00:15:51) How to write better (00:20:56) Career lessons you didn't learn in school (00:27:40) Imposter syndrome (00:31:29) Day-to-day work as a data scientist (00:36:16) Most common mistakes data scientists make (00:39:41) Data Analyst vs. Data Scientist (00:42:30) What is the science in data science? (00:44:51) Can everyone be a data scientist (00:49:21) Linkedin profile tips for job search (00:52:59) How she creates content (00:54:11) Being a data scientist "influencer" (00:56:04) Why she started "the data scientist show" (01:01:16) Women in data science (01:06:39) What's her legacy (01:09:43) What is she reading (01:14:21) Connect with Daliana
Александрийская библиотека была центром мира для многих ученых мужей древности. Но своего величия она не всегда добивалась достойными методами. Как библиотека «охотилась» на ценные книги? Была ли единственной в своем роде? Какие тайны хранила, и как была уничтожена? Мы также говорим о происхождении книжных собраний и их развитии. А в послекасте – о жизни основателя Александрийской библиотеки и одной истории из мусульманской Испании. Партнер эпизода – образовательная платформа Skillbox. которая предлагает скидку на обучение профессии Data Scientist.Скидка до 60% на обучение – по промокоду: "Короче, история" (Промокод надо назвать при звонке менеджера). Скидка действует до конца ноября 2022 г. Подробности о курсе и запись по ссылке: https://clck.ru/32i2RD Подкаст "Наша смена" Как можно нас поддержать: Boosty Sponsr А еще есть вот такая возможность задонатить через Тинькофф И через «Юмани», с любого банка Если кому-то удобно перевести биткойны, то можно сделать это здесь: bc1qh04hvxay7ah85v38dtxynfxtuffxhkky3qw6vd Почта: firstname.lastname@example.org Подкаст — резидент лейбла ТОЛК: http://tolktolk.me/saleshouse По вопросам рекламы: email@example.com
Experian Identity Report with Kevin Chen, senior vice president and chief data scientist for Experian DataLabs in North America interviewed by David Cogan famous host of the Heroes Show and founder of Eliances entrepreneur community. The Experian DataLabs are at the forefront of the company's efforts to scan the horizon for opportunities to disrupt and transform the business with data. And one of those areas is about how Privacy-preserving technologies are being used to protect users and business.
This episode features Greg Jacobs, who has successfully transitioned from the law into the technology industry as a data scientist after 14 years of practice. In this conversation, Sarah talks to Greg about the approach he used to move into a job that many lawyers are potentially thinking about without fully returning to school. You should listen to this if you want to start a fulfilling career in the tech industry. You will learn the exact process Greg used to get his dream job and how taking the risk to trust his instinct brought him to where he is right now. Let's get right in! See show notes at formerlawyer.com/164
Data Analytics has played a major role in Chelsea's journey to becoming the seventh most valuable football club in the world, Chelsea has won six league titles, eight FA Cups, five League Cups, and two Champions League titles. Today, we are going behind the scenes at Chelsea FC to see how they use data analytics to analyze matches, inform tactical decision-making, and drive matchday success in one of the world's top football leagues, just in time for the 2022 FIFA World Cup in Qatar! Federico Bettuzzi is a Data Scientist at Chelsea FC. As a specialist in match analytics, Federico works with Chelsea's first team to inform tactical decision making during matches. Federico joins the show to break down how he gathers and synthesizes data, how they develop match analyses for tactical reviews, how managers prioritize data analytics differently, how to balance long-term and short-term projects, and much more.
Today on the Empire Life Podcast we will feature special guest Brooke Dunwell, founder of Wild Feather Podcast - The Wild Feather Podcast seeks to impact, inspire, encourage and connect others through the journeys of female founders, entrepreneurs and investors, and she is also the founder of 3 Carbon Recruiting. At 3 Carbon Recruiting - They work with established startups that are ready to scale. They Connect: They connect with the right people. They Qualify: They qualify them to understand their strengths, values, goals and mission in life. They Hire: They Hire the ones who align with your values, goals and mission. They work with Founders, C-Level Execs, Leaders and Managers. She'll be coming onto our show to talk about learning to delegate and getting better at it, and about networking for more success in your business. You don't want to miss this amazing episode so tune in TODAY at 12 PM CST or subscribe now if you're already listening from afar - It's time that society learns how important it is not only to have good intentions but translating them into actionable steps towards living happier lives without sacrificing who we truly are inside. We had a great time on the Empire Life Podcast! You'll find all the full episodes of the Empire Life podcast on YouTube, Spotify, iTunes, and Youtube, on our website, and here! Find Us On YouTube here: https://www.youtube.com/channel/UCiJSVhz5kEuLMkbZDMIpBsw Find us on Spotify here: https://open.spotify.com/show/2dyMUbwo1PG5lHMC3qNUGO?si=rOvqIPfIT3qYbmxGReCkrA And iTunes here: https://podcasts.apple.com/us/podcast/empire-life-podcast/id1281197037 Contact Brooke Here: Facebook Business Page: https://www.facebook.com/brookedunwell Instagram: https://www.instagram.com/brookedunwell/ Website: https://www.carbon3recruiting.com/ Her Podcast: https://amberapproved.ca/podcast/ Pinterest: https://www.pinterest.com/brookedunwell/ Twitter: https://twitter.com/brookedunwell?lang=en Allison Ramsey is the best-selling author of the Redefine book (www.empirelifeacademy.com/book) and the Founder of Empire Life, Coaching and Mentoring Company. At Empire Life, Female Founders are Guided in Scaling Their Online Empires. Allison is also a Software Developer, Data Scientist, and College Professor. She also hosts the Empire Life Podcast, which broadcasts interviews with mega-successful empire builders worldwide, and publishes expert articles in the Empire Life Blog. With private clients, Empire Life guides clients in business strategy, structure, community building, and authentic sales in scaling the technical infrastructure for membership sites, and systems, raising prices, and confidence, automation, sales funnels, and scaling momentum with Facebook and Google Ads. The Empire Life Blog has tons of exposure and engagement every day as well. Allison is also an international speaker on women in tech, entrepreneurship, business, leadership, and business partnerships. She enjoys spending time with her loved ones in her free time. All of the female coaches and female-led businesses who implemented Empire Life's business strategies saw an increase in client leads, monthly income (often a 20X increase from when they started with Empire Life's support), and client retention after having Empire Life Mentorship, apply here: https://empirelife.typeform.com/to/KkGBfS
In this episode, Preeti conducts an engaging interview with Ashwini Rao, the co-founder and CEO of Eydle. Throughout their conversation, Ashwini talks about her career in cybersecurity, as well as the impact of her findings within the field. We hope that you will enjoy it and thank you so much for listening!Guest - Ashwini RaoAshwini Rao, PhD is a cybersecurity expert, and Cofounder and CEO of Eydle, a startup that protects people and brands from impersonation scams on social media. Previously, she was the CISO at Spring Labs. She has also worked at companies such as Qualcomm and Appian. Her research has been recognized by the Federal Trade Commission, has been used to support a seminal privacy-related case in the US Supreme Court, and has been cited in the Big Data and Privacy report by the President's Council of Advisors on Science and Technology. Her research has been covered by the popular press including NPR, Scientific American and New Scientist.Host - Preeti RavindraPreeti solves security problems with data and math with industry experience working at the intersection of security and AI. She has experience developing and operationalizing machine learning key differentiator solutions to solve cybersecurity problems in security operations, vulnerability management and endpoint protection. Her unique value proposition is working cross-functionally to help security teams succeed in adopting data science and machine learning to deliver business value. She gives back to the cybersecurity community by sharing her work at conferences and supporting women in cybersecurity through podcasting. Preeti has a Master's degree in Information Networking with a Cybersecurity concentration from Carnegie Mellon University. She has held different roles such as Security Researcher, Applied Researcher, Machine Learning Engineer and Data Scientist. Currently, she is an Information Security Manager at BetterUp leading the security insights and automation team operating at the intersection of security and data science, helping all security teams understand, prioritize and action on their security gaps and risks in a data-driven way.Support the show
Junior Data Scientist Akadémia részletek: https://data36.com/junior-data-scientist-akademia/ A data science karrierek 2022 mini-sorozatnak ebben a részében Mester Tomi vendége Ujhelyi Tamás volt, aki data scientist-ként dolgozik a Brokerchooser nevű cégnél. Ujhelyi Tamás elmeséli, hogy hogyan képezte magát, hogyan szerezte meg élete első data scientist pozícióját, milyen volt az interjú folyamat. Azt is megosztotta, hogy milyen projekteken dolgozik épp a Brokerchooser nevű cégnél, milyen adatos eszközöket használ -- és azt is, hogy úgy általában hogyan néz ki egy data scientist napja/hete/hónapja. Fogadjátok szeretettel. Hivatkozások az epizódból: >> https://brokerchooser.com/ >> StatQuest kurzus: https://www.youtube.com/watch?v=qBigTkBLU6g&list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9 >> Khan Academy kurzus: https://www.khanacademy.org/math/statistics-probability/ >> https://www.glassdoor.com/ >> https://www.reddit.com/r/datascience/ >> https://stackoverflow.com/ >> https://data36.com/junior-data-scientist-akademia/
Start your journey of good-for-you cooking with good-for-you cookware! Purchase 360 cookware today with 25% code: https://www.360cookware.com/jedediah Jed does a deep statistical dive into dating, relationships, and men vs women with data scientist Vincent Harinam. They answer the questions on everyone's mind: What do men and women really want in a mate? Do women really like bad boys? What is driving the hookup culture – male or female behavior? Is the Red Pill right or wrong? Why do men really pay for OnlyFans? What do the latest gender/lifestyle trends in voting say about modern society and where we're headed? Don't miss the answers to all of these questions and more. New Episodes LIVE Mondays, Wednesdays, and Fridays at 1pm EST. Subscribe to the JB LIVE community: https://bit.ly/3Iojl8Q About the show: Welcome to a free-speech zone where dating, politics, and hot debate come to life. Join former television host Jedediah Bila as she unravels what's broken in the dating game, tackles the dangers of modern feminism, and exposes The System's multifaceted, hazardous agenda. Known for her fearless commentary and passion for freedom and free-thinking minds, Jedediah digs into such topics as “toxic” masculinity, the modern feminist agenda, big-government tyranny, how men and women are different, the dangers of pornography, societal neutering of men, and the problem with a culture of promiscuity. She holds women, men, and political elites accountable in her signature no-bullsh*t style. She stands up for liberty, personal responsibility, and traditional values, rallying against The System's desire for an increasingly weak, puppeteered, entitled culture. And she does it all in a combination of solo and interview-style shows that are sure to get you thinking and fired up to join the conversation. Follow Jedediah on social media: Instagram: https://bit.ly/3Gje8xg Twitter: https://bit.ly/3NlsfFX Facebook: https://bit.ly/3MHFXlo Locals: https://bit.ly/3tmAsCD Rumble: https://rumble.com/c/JedediahBilaLive Pick up a copy of Jedediah's books: Dear Hartley: https://amzn.to/3xEbikp Outnumbered: https://bit.ly/3gWuXq9 To reach the Valuetainment team, send an email to: firstname.lastname@example.org
With data restrictions becoming more prevalent, how can advertisers reach customers without first party data? Melinda Han Williams, Chief Data Scientist at Dstillery, claims that successful advertising can be done without any form of ID. Listen to hear more about AI marketing strategies and reaching consumers through a comfortable privacy setting. Tune in to learn:About Melinda's journey from a career in physics to data science (04:21)How data is losing availability (09:53)Ways to reach customers through Dstillery's ID-free approach (14:24)What trends are emerging in AI marketing (26:30)Mentions:(23:17) Mark Papermaster - https://www.linkedin.com/in/mark-papermaster-66914925/(27:42) Article in Forbes - https://www.forbes.com/sites/stephendiorio/2022/06/06/its-time-for-people-facing-ai/?sh=635c6eb922deMarketing Trends is brought to you by Salesforce Marketing Cloud. For more great marketing insights, sign up for The Marketing Moments newsletter. You'll get ideas to help you build better customer relationships, invites to upcoming events, and access to the latest industry research. Subscribe at https://sforce.co/MarketingMoments
Tommy Dang is the Co-founder and CEO of Mage, a data ingestion and transformation pipeline for data engineers (https://github.com/mage-ai/mage-ai). Previously, he was working on data engineering and machine learning engineering at Airbnb. He has a bachelor degree of science in UC Berkeley studying economic, history, and sociology. Today we'll talk about how he learned engineering and machine learning after college, data tools and ML tools he built at Airbnb, performance review, and how he navigates his career. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science and career. Tommy's LinkedIn: https://www.linkedin.com/in/dangtommy/ Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu (00:00:00) Introduction (00:01:28) Get into computer science from non-tech background (00:03:08) How he started his first project (00:04:07) Projects at Airbnb (00:06:09) Speed vs Quality when building data pipelines (00:16:34) How to deal with AdHoc requests (00:21:00) How did he learn machine learning (00:24:04) How he convinced data scientists to teach him ML (00:25:15) Performance review (00:27:11) Don't let your job title limit your career (00:28:29) Why he started his company (00:31:38) Build your own tool vs use open source solutions (00:33:12) Transitioning from an engineer to a CEO (00:34:50) Earn trust from internal stakeholders (00:36:27) Career advice (00:41:31) How he carved his own path at Airbnb (00:46:00) How did he learn to be a good engineer (00:47:10) Best advice for data scientists or engineers (00:48:41) Most important quality of data scientists or engineers (00:51:51) Design principles (00:58:51) Future of tools (01:01:00) What does he think about his future career (01:05:05) Inspiration of Tommy
This week's podcast kicks off with a look at the latest activity on MBA LiveWire, which led to a disussion about the anxiety the interview invite process creates for candidates. Graham highlighted the recently published Real Humans pieces for Toronto / Rotman and SMU / Cox before calling listeners attention to the congested application deadlines for Round 2; on January 4 and 5, there are 16 top MBA programs with Round 2 deadlines! Graham also highlighted this Tuesday's webinar with Georgia / Terry, focused on Experiential Learning, signups are here: https://bit.ly/experientialmba Graham also reminded listeners of Clear Admit's upcoming Deferred Enrolment event featuring Wharton, MIT Sloan, Chicago Booth and many other leading programs; signups are here: https://bit.ly/defermba As usual, this episode features candidate profile reviews for three real applicants, each selected from ApplyWire. First up, Alex selects a data scientist in the healthcare domain, who has a 720 GMAT (decent) and a 3.3 engineering undergraduate degree. They have also completed a masters degree, with a 3.8. They are an over-represented minority (likely Asian American), and Alex and Graham discussed the programs they are targeting, and whether Wharton should be included, because of its strength in the healthcare domain. This week's second candidate has 15 years of experience, and unfortunately has a low undergraduate GPA, due to some mental health issues. They have subsequently completed a masters degree with a stronger result (but did not share the exact GPA). Beyond the potential academics problem, they will need to address issues related to fit because of their additional length of work experience. The final candidate this week is targeting next season, and is a first generation candidate who's pivoted from engineering into finance. Alex and Graham like that pivot, and had a long conversation about their goals, post MBA, and whether they should stick to an energy theme, which has formed the basis of their prior experiences. This episode was recorded in Paris, France and Cornwall, England. It was produced and engineered by the immensely talented Dennis Crowley in Philadelphia, Pennsylvania, home of the National League Champion Phillies. Thanks for joining us and for reading these descriptions! Please remember to share the Clear Admit podcast with friends, colleagues, and anyone who might benefit from tuning in. Stay safe everybody.
Which states are the bellwethers in the upcoming election? Which states will give the clearest indication of the direction of the House and Senate? Who is showing up to vote that pollsters weren't expecting? And how will those voters who aren't considered "likely voters" change the results? How does a firm like Decision Desk HQ gather the information needed to make election calls as quickly as they do? (Answer: There are 50 states with 50 different ways to get the information.) What is a model? How are election models different from polls? What factors are considered to develop a model? What are some of the differences between DDHQ's model and other models such as fivethirtyeight's? How should we look at projections? We explore these questions and more with DDHQ's Senior Data Scientist Kiel Williams. Kiel Williams is a Senior Data Scientist at Decision Desk HQ. Decision Desk HQ collects, organizes, and reports election night results and provides election related data to media outlets, political organizations, and anyone interested in who votes and how they voted. Kiel specifically performs electoral analysis, polling and manages data operations at DDHQ. Kyle has an undergraduate degree in physics and math from Guilford College and earned his PhD in physics from the University of Illinois, Urbana Champaign. decisiondeskhq.com/ twitter.com/DecisionDeskHQ twitter.com/KielTWilliams twitter.com/coreysnathan
Embracing the dual role of data scientist and software developer with state-of-the-art tooling, illustrating the fundamentals of Shiny (literally), and the TidyX crew put their data wrangling skills to the test. Episode Links This week's curator: Sam Parmar (@parmsam_ (https://twitter.com/parmsam_)) Are you Data Scientists or Software Developers?! (https://milesmcbain.micro.blog/2022/10/18/are-you-data.html) Understanding ShinyApps (https://cosimameyer.com/post/understanding-shinyapps/) TidyX Episode 121: Tell me what you want - user submitted data (https://www.youtube.com/watch?v=RvV6aL5RD4U) Entire issue available at rweekly.org/2022-W44 (https://rweekly.org/2022-W44.html) Supplement Resources Manage Dependencies with the deps R Package for Docker Containers (https://hosting.analythium.io/manage-dependencies-with-the-deps-r-package-for-docker-containers/) Alternatives to paired bar charts (https://albert-rapp.de/posts/ggplot2-tips/15_alternative_paired_bars/15_alternative_paired_bars.html)
Data Analyst and Data Scientist are two prominent examples where many people believe that a data scientist is just a reclassified analyst specifically dealing with data. Data analysts and data scientists focus on similar subject areas, but they go about these in slightly different ways. Data science is the process of extracting knowledge and discovering… Continue reading 37: Data Science vs Data Analytics — How to decide which one is right for you?
The Congo Basin is home to the world's largest peatland. Simon Lewis, Professor of Global Change Science at UCL and the University of Leeds, tells Roland how this peatland acts as a huge carbon sink and how climate change could result in these carbon stores being released. He is joined by Dr Ifo Averti, Associate Professor in Forest Ecology at Universite Marien Ngouabi in the Congo who helps us understand what this landscape is like. We'll explore how peatlands all around the world are showing early alarm bells of change. From the boreal Arctic forests to the Amazon, Simon helps us understand how they could action huge change in the climate. Hurricane Ian, which recently caused devastating damage to Cuba and the United States, may signify a growing trend of increasingly powerful storms. Karthik Balaguru, climate and data scientist at the Pacific Northwest National Laboratory, explains how climate change is causing hurricanes to rapidly intensify, making them faster and wetter. On Sunday 6th November, COP27 will begin in Sharm El-Sheikh, Egypt. Dr Debbie Rosen, Science and Policy Manager at CONSTRAIN, breaks down some of the jargon we might hear throughout the conference. Contributors Simon Lewis, Professor of Global Change Science, University College London & University of Leeds Dr Ifo Averti, Associate Professor in Forest Ecology at Universite Marien Ngouabi Karthik Balaguru, Climate and Data Scientist, Pacific Northwest National Laboratory Dr Debbie Rosen, Science and Policy Manager, CONSTRAIN Image credit: Getty Images Presenter: Roland Pease Assistant Producer: Sophie Ormiston Producer: Robbie Wojciechowski
Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What motivated Shashank to start his YouTube channel [04:31] • The must-have technical skills for every data scientist [16:59] • The soft skills needed for data science [20:52] • The differences between data analyst, data scientist and data engineer [24:26] • How data are currently being applied in the sports industry [38:38] • The “needs” divide between digital native and traditional companies [45:34] Additional materials: www.superdatascience.com/623
Bruce Orr, ProNovos (North Fulton Business Radio, Episode 557) Bruce Orr, Founder and CEO of ProNovos, joined host John Ray in-studio to discuss his company’s difference making data analytics software for construction contractors. Bruce discussed how and why he formed the company, the problems construction companies have which ProNovos solves, why he partners with CPA […] The post Bruce Orr, ProNovos appeared first on Business RadioX ®.
For some time, there was hype around AI and data science and that they would solve all of our problems. If you think AI solves every problem, then you're overestimating its utility and where we're at. However, on the other side, if you're a business of any size, operating at least some type of technology, and you think AI can solve none of your problems — you're also mistaken. We're somewhere in the middle. Daniel Whitenack, Data Scientist and host of the Practical AI podcast gives us a really great introduction to Artificial Intelligence and you don't need be a data scientist to understand it! Connect with Daniel Whitenack here https://datadan.io/ or check out the Practical AI podcast For more episodes just visit https://mapscaping.com/podcasts/ and sort all the episodes by "geospatial career" Consider supporting this podcast on Patreon https://www.patreon.com/MapScaping? Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/
This week Ali and JoDee are talking with Pearl Ubaru, a former high school math teacher turned data scientist. She is also the founder of SiSTEM Tutoring Agency. Together, they will discuss Pearl's transition to data scientist and entrepreneur, the 3 main data-related roles in tech, and the steps you need to take to pursue a career as data scientist. Connect with Pearl:Instagram: https://www.instagram.com/pearltheceo/Twitter: https://twitter.com/pearltheceoLinkedIn: https://www.linkedin.com/in/pearl-ubaru/Website: https://www.sistemtutoring.com/Connect with Ali and JoDee: Instagram: https://www.instagram.com/tgtrpodcast/Facebook: https://www.facebook.com/tgtrpodcastAli's LinkedIn: https://www.linkedin.com/in/alisimon/JoDee's LinkedIn: https://www.linkedin.com/in/jodeescissors/
Dee Brown is the Talent Acquisition Lead with CNA, a non-profit research group in Northern Virginia. They hire for many research-related positions including Data Analysts, Research Analysts and Data Scientists. CNA can clear all their roles, many of which are hybrid remote. Learn who thrives at CNA and follow Dee's advice on building accomplishment statements on your resume using her A+B=C formula. “CNA is really great when it comes to our compensation. We think equality, but we also think equity in terms of pay. Inflation happens. If we bring in somebody new that's doing the same role as somebody that has been here for five years, we look at the market, here's what our equity is. How do we make sure that these people that are similar in background, as far as education/experience, are getting paid the same way? If we bring that new person in higher, then that means we need to adjust our current employees to match that.”Find show notes and additional links at: https://clearedjobs.net/cna-accomplishment-statements-curious-natures-and-communication/
Gabriel Bayomi is the Co-Founder at OpenLayer, a tool that tests & debugs machine learning models. OpenLayer was in the YCombinator's batch in 2021, building tools for machine learning model testing. Previously he was a machine learning engineer at Apple working on Siri. He has a master degree in computer science from Carnegie Mellon. He is passionate about Natural Language Processing, Machine Learning, and Computational Social Science. We talked about how to test and debug machine learning models, his experience at Apple, and career lessons. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science and career. Gabriel's LinkedIn: https://www.linkedin.com/in/gbayomi Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu (0:00) Intro (01:01:39) How he got into machine learning (01:06:43) His experience at Apple, Siri (01:15:55) How to validate the solution (01:19:39) Benefits of using external error analysis framework (01:21:30) How to build a model evaluation pipeline (01:28:26) Don't overfit the subset of data (01:33:19) Your validation set shouldn't be fixed (01:41:03) Become one with data (01:44:05) Three model interpretability library you should use (01:50:47) Common mistakes people made in model validation (01:53:33) How to create an adversarial test (01:55:43) How to check data quality (01:06:46) Transition from engineer to executive (01:10:04) Things he learnt from his favorite coworker (01:17:57) how job roles would evolve
Today on the Empire Life Podcast we will feature special guest Amber Romaniuk, founder of gain body freedom for life. She'll be coming onto our show to talk about engineering your health and intuitive eating! You don't want to miss this amazing episode so tune today or subscribe now if you're already listening from afar - It's time that society learns how important it is not only to have good intentions but translating them into actionable steps towards living happier lives without sacrificing who we truly are inside: Common topics she explores and loves to dive deeper into with her clients in, Emotional Eating, Overwhelm, Fatigue, Why You Sabotage When You Don't Want to, First Steps to Address Emotional Eating Triggers. Her podcast explores outside-of-the-box information and education to change your health habits and mindsets to set you on a different path. We had a great time on the Empire Life Podcast! You'll find all the full episodes of the Empire Life podcast on YouTube, Spotify, iTunes, and Youtube, on our website, and here! Watch the highlights here: https://youtu.be/NifNkBDWhyA Find Us On YouTube here: https://www.youtube.com/channel/UCiJSVhz5kEuLMkbZDMIpBsw And iTunes here: https://podcasts.apple.com/us/podcast/empire-life-podcast/id1281197037 Contact Amber Here: Facebook Business Page: https://www.facebook.com/AmberApproved/ Instagram: https://www.instagram.com/amberromaniuk/ Website: https://amberapproved.ca/ Her Podcast: https://amberapproved.ca/podcast/ Pinterest: https://www.pinterest.ca/amberromaniuk/ Allison Ramsey is the best-selling author of the Redefine book (www.empirelifeacademy.com/book) and the Founder of Empire Life, Coaching and Mentoring Company. At Empire Life, Female Founders are Guided in Scaling Their Online Empires. Allison is also a Software Developer, Data Scientist, and College Professor. She also hosts the Empire Life Podcast, which broadcasts interviews with mega-successful empire builders worldwide, and publishes expert articles in the Empire Life Blog. With private clients, Empire Life guides clients in business strategy, structure, community building, and authentic sales in scaling the technical infrastructure for membership sites, and systems, raising prices, and confidence, automation, sales funnels, and scaling momentum with Facebook and Google Ads. The Empire Life Blog has tons of exposure and engagement every day as well. Allison is also an international speaker on women in tech, entrepreneurship, business, leadership, and business partnerships. She enjoys spending time with her loved ones in her free time. All of the female coaches and female-led businesses who implemented Empire Life's business strategies saw an increase in client leads, monthly income (often a 20X increase from when they started with Empire Life's support), and client retention after having Empire Life Mentorship, apply here: https://empirelife.typeform.com/to/KkGBfS
Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph.D. in Econ AI and she has worked on various industries and multiple continents. She's someone I really enjoyed working with. We talked about her journey, the projects she worked on and the lessons she learnt. If you like the show subscribe to the channel and give us a 5 star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Alisa's LinkedIn: https://de.linkedin.com/in/alisakolesnikova Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's twitter: https://twitter.com/DalianaLiu
Anjali Menon, Solutions Consultant at AsiaPac and Leadership Fellow at Women Who Code , Runjhun Ratawal, Senior Lead at Women Who Code, and Sneha Saxena, Data Scientist at Grubhub and Data Science Lead at Women Who Code, share,”Statistics For Machine Learning.” They discuss descriptive and inferential statistics, when to use mean, median, or mode when analyzing data, and explain how to get the best results when sampling a population.
Tina Tamboer of The Cromford Report is back for the second time. She is the resource for housing data in Arizona, and today we're talking about the state of today's real estate market update and potentially what we've got coming down the pipe. Real Estate... The post Real Estate Market Update by the #1 Arizona Data Scientist: What to Expect In 2023￼ appeared first on Real Estate Disruptors.
Aishwarya Nair, Data Scientist at Trivago, shares her talk, “Social Media Feeds and Bias.” She shares her ideas as to what constitutes social media and discusses some differences in the motivations behind online ads. She also explains how following the crowd can change the type of ads you will see.
Adatépítész -az első magyar datapodcast Minden ami hír, érdekesség, esemény vagy tudásmorzsa az adat, datascience, adatbányászat és hasonló kockaságok világából. Become a Patron! Iratkozz fel az új epizódokért!
Our guest today is Ashish Patel, Chief Data Scientist at IBM. He'll share his story, how to get into the field and best practices to follow as a business data scientist. He'll also tell us why the agile methodology is not the best to use for ML/AI projects, what are the important things to follow to make your data science project successful and why failure is welcome.
DJ is an educational content creator on YouTube who covers Machine Learning relating topics, from Reinforcement Learning to Information Theory. As a Data Scientist at Lyft, he's successfully pushed for Causal Forecasting as the best mechanism for company-wide planning. He would argue it's the only valid data-driven approach to planning. His graduate education is formally in financial engineering, which he's used as a quant within the hedge fund industry. In this episode we dive into his experience with financial engineering, how he transitioned to his work at Lyft, and how he believes reinforcement learning will be the future of the field.
Today we're talking to Anthony Scriffignano, SVP and Chief Data Scientist at Dun & Bradstreet; and we discuss the ways in which careers are formed from uncertainty; how to think about and implement trustworthy AI; and how leaders can encourage teams to be their authentic selves. All of this right here, right now, on the Modern CTO Podcast! Check out more of Anthony and Dun & Bradstreet at https://www.dnb.com/!
Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical research, experimental design and statistics. He also has a certificate in entrepreneurship from the Business School of Stanford. In his free time, he volunteers with a Bay Area Community Health Advisory Council. He also plays Men's Division III Rugby. We talked about the building data tools, data engineering skills for data scientist, how to pitch a projects, and his career journey. If you like the show, subscribe to the channel and give us a 5 star review. Subscribe to www.dalianaliu.com for more on data science and career. Mark's LinkedIn: https://www.linkedin.com/in/mafreeman2/ Topics: The “modern data stack” How to get buy-in from the leadership What is DBT and why he uses it Common SQL mistakes SQL vs Python vs R How to pitch a new project T.R.I.B.E framework for projects How he almost lost 1 Million dollar for his company Things he learned from his manager Mental Health and anxiety How to iterate project Web3 Why he cares about community health ‘soul- searching' on his future Why he write on Linkedin Future of data science
Better use of data is key to more effective government. Across government, teams are doing fascinating work with data. But those projects don't get the attention they deserve. At this month's event, the 34th in our series, the speakers presented their work in an exciting, quickfire format. Each speaker had eight minutes, followed by eight minutes of questions from the audience. Our speakers were: Dr Mark Thompson, Director at Cabinet Office, Government Business Services on how the organisation is utilising data insights to transform the civil service Catherine Hope, Statistician at the Department for Work and Pensions and Chair of the Presentation Group, Government Statistical Service (GSS), on the GSS's new dashboards guidance Paul Maltby, Chief Digital Officer, and Paul Downey, Head of Digital Land, at the Department for Levelling Up, Housing and Communities, on 'planning.data.gov' and a digital perspective on planning reform Aleks Bobrowska, Data Scientist at the Department for Work and Pensions, on getting the right ecosystem in place for embedding analytics in a service design/build context. The event was chaired by Gavin Freeguard, Associate at the Institute for Government. #IfGDataBites34
In this episode of Shopify Masters, we're in London, UK, chatting with, Raquel Acosta the ceramist and owner of Glaze Me Pretty. Raquel shares how her pottery hobby became a profitable business, how she uses Instagram to grow her sales, and what it takes for you to build a social following. For more on Glaze Me Pretty and show notes: https://www.shopify.com/blog/glaze-me-pretty-career-pivot?utm_campaign=shopifymasters&utm_medium=youtube&utm_source=podcast
In this podcast Megan Lieu talks about her transition into analytics, building SQL/Python skills, building a LinkedIn following (37,617 at time of posting) and gives resume advice. Trying to break into the Analytics Industry? You should check out the Greensboro College Analytics Apprenticeship program. Learn more here: https://learn.silvertoneanalytics.com/apprenticeship/ Already established as an analyst but ready to level up your career? Check out the Silvertone Analytics Career Servicers Program here: https://learn.silvertoneanalytics.com/career-services/ Welcome to the How to Get an Analytics Job channel. Discover how you fit into the analytics marketplace, what skills you should build, and how to land your analytics dream job. Analytics agency owner John David Ariansen and his team will give you tips and tricks to land your dream job and level up your analytics career. Check Out Our Playlists How to Get an Analytics Job Podcast: https://www.youtube.com/playlist?list=PLBvzkZLydYX0D28bbnfRCV6M4zMQrhXsd Greensboro College Analytics Lecture Series: https://www.youtube.com/playlist?list=PLBvzkZLydYX2UenX5FGME-n-KDjvKmeKp Looking to land an analytics job? Sounds like you need a solid resume... Sign up for our email list to get a free analytics resume guide: https://mailchi.mp/df01df1e8856/analyticsjob Follow us on LinkedIn: John David Ariansen https://www.linkedin.com/in/johndavidariansen/ Hunter Brown https://www.linkedin.com/in/hunterhbrown/ Megan Lieu https://www.linkedin.com/in/meganlieu/ Olivia Davidson https://www.linkedin.com/in/olivia-davidson19/ --- Support this podcast: https://anchor.fm/john-david-ariansen/support
Is the idea that big retail is dead by 2030 a commonly held belief or will retail have evolved so significantly that it will get over get over the hump of e-commerce, near infinite choices for consumers, and the desire to get everything within fifteen to thirty minutes from when it was ordered. This is the new world of commerce by 2030 for every one of us, according to our guest Michael Lagoni, the CEO of Slackline. How companies react to this in the next few years will define if they are around in 2030 to take advantage of this world.Lagoni's view is that the data scientist will make over 80% of all product marketing decisions by 2030 as if they were hedge fund managers on Wall Street; the building never realized niche market opportunities in near real-time. This is a radically different world of choice as consumers transact nearly everything on the phone and one where brands and product managers have to focus on cultivating a direct relationship far more than they do now.
Abhy Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at Chime. We talked about how he transitioned his career from software engineer to deep learning architect and to a product manager, cool projects he worked on, and our shared experiences at Amazon. If you like the show subscribe to the channel and give us a 5 star review. Follow Daliana on https://twitter.com/DalianaLiu for more on data science and this podcast. Abhy's LinkedIn: https://www.linkedin.com/in/abhivs/
Raaj Shah is a Data Scientist from New Jersey. He is a lover of sports, music, and nature. Raaj goes into the intricacies of sports-betting, as well as speaking on challenges from his past. We had an honest, beautiful, and emotional conversation about life. Raaj and I have been friends for over a year now and during the podcast we got vulnerable and deep about life and its many ups and downs. I walked away completely blown away by Raaj's ability to open up about his past life experiences. There are so many lessons involved in what we discussed, but I think the best lesson we learned is that if you can open up and talk to your friends about what you're dealing with, life can be easier. Vulnerability, and the corresponding understanding is what makes the bond of friendship strengthen, and for that I'll always be thankful for Raaj coming on the podcast. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/thewrongadvicepod/support
Thank you Kristen Thomasino for joining me on the Born To Talk Radio Show Podcast. Kristen Thomasino. To begin with, Kristen is a Data Scientist and so much more! She is the founder of Thomasino Media LLC & Buddytown Consulting, LLC. In addition to her businesses, she is also an accomplished author. Kristen has... The post Kristen Thomasino appeared first on Born To Talk.
Data Scientist and all around genius Eric Eager joined the show in hour two to discuss whether or not the Chiefs loss to the Colts was cause for concern or a blip on the radar. Then he looked ahead to the game against Tampa this weekend. See omnystudio.com/listener for privacy information.
Mikiko Bazeley is a senior software engineer working on MLOps at Intuit. Previously, she worked as a growth hacker, data analyst in Finance, then become a data scientist, and later transitioned into machine learning. She has a bachelor degree in econ, biological anthropologie, did data science bootcamp at springboard. She is a tech writer for NVIDIA and she's working on a course on MLOps. Her goal is to demystify MLOps & show how to develop high-quality ML products from scratch. You can find her content on Linkedin and YouTube. Today, we'll talk about useful engineering principles for data scientists, MLOps, and her career journey. Subscribe to www.dalianaliu.com for more on data science and career. Mikiko's Linkedin: https://www.linkedin.com/in/mikikobazeley/ Topics: From gpa 2.6 to MLOps engineer 2 MLOps pattern MLOps vs MLE Data scientist to MLE Free resource on engineering principles Her tech stack Does she miss DS Empathy for DS Course she's working on
BIO: Vijay Pravin Maharajan is the Founder and CEO of bitsCrunch GmbH, a Blockchain Analytics company focused on securing the NFT ecosystem. STORY: Vijay lost over 90% of his savings after investing blindly in cryptocurrency. LEARNING: Do thorough due diligence before investing in anything. Don't follow people blindly. “Before you spend your money, take your time to research the investment.”Vijay Pravin Maharajan Guest profilehttps://www.linkedin.com/in/vijaypravin/ (Vijay Pravin Maharajan) is the Founder and CEO of https://bitscrunch.com/ (bitsCrunch GmbH), a Blockchain Analytics company focused on securing the NFT ecosystem. He has a masters in Electrical Engineering and Information Technology from Technische Universität Munchen (TUM), Germany. Vijay is a 3x TEDx Speaker. He's also the first Indian to be invited for a TEDx talk in Germany below 30. He was nominated as ‘Top Men Leaders to look up to in 2021' by Passion Vista magazine. He was also awarded as ‘Top 40 Data Scientists under 40' in India. And finally, he was nominated as ‘20+ Inspiring Data Scientists to follow in 2020' by AI (Artificial Intelligence) Time Journal from the United States. He previously worked a Siemens Mobility, Volkswagen AG, and Telefónica GmbH in Germany. Worst investment everAfter completing his master's in Munich, Vijay's friends pulled him into the crypto space. He took close to 80% of his savings and put them into crypto. Vijay ended up losing almost 90% of his investment. His biggest mistake was not doing any research. He just followed his friends blindly. Lessons learnedDo thorough due diligence before investing in anything. Don't follow people blindly. Andrew's takeawaysNever invest in something that somebody told you about. Don't get caught up in the emotion of new investments. Actionable adviceSpend time, not money, before you invest. First, take your time to research the investment. No.1 goal for the next 12 monthsVijay's number one goal for the next 12 months is to go out there, educate more people about the NFT space, and be a good father. Parting words “Thanks, Andrew. You're saving a lot of people from getting screwed up or getting lost.”Vijay Pravin Maharajan [spp-transcript] Connect with Vijay Pravin Maharajan https://www.linkedin.com/in/vijaypravin/ (LinkedIn) https://twitter.com/VijayPravinM (Twitter) https://www.facebook.com/VijayPravin.Maharajan (Facebook) https://www.youtube.com/c/VijayPravin (YouTube) https://www.instagram.com/vijaypravin_official/ (Instagram) https://unleashnfts.com/ (Website) Andrew's bookshttps://amzn.to/3qrfHjX (How to Start Building Your Wealth Investing in the Stock Market) https://amzn.to/2PDApAo (My Worst Investment Ever) https://amzn.to/3v6ip1Y (9 Valuation Mistakes and How to Avoid Them) https://amzn.to/3emBO8M (Transform Your Business with Dr.Deming's 14 Points) Andrew's online programshttps://valuationmasterclass.com/ (Valuation Master Class) https://astotz.kartra.com/page/become-a-better-investor-community (The Become a Better Investor Community) https://academy.astotz.com/courses/how-to-start-building-your-wealth-investing-in-the-stock-market (How to Start Building Your Wealth Investing in the Stock Market) https://academy.astotz.com/courses/finance-made-ridiculously-simple (Finance Made Ridiculously Simple) https://academy.astotz.com/courses/best-business-book-club (Best Business Book Club) https://academy.astotz.com/courses/gp (Become a Great Presenter and Increase Your Influence) https://academy.astotz.com/courses/transformyourbusiness (Transform Your Business with Dr. Deming's 14 Points) Connect with Andrew Stotz:https://www.astotz.com/ (astotz.com) https://www.linkedin.com/in/andrewstotz/ (LinkedIn) https://www.facebook.com/andrewstotzpage (Facebook) https://www.instagram.com/andstotz/ (Instagram) https://twitter.com/Andrew_Stotz (Twitter) https://www.youtube.com/c/andrewstotzpage (YouTube)...
Dip your toes into the world of personal finance and you can find plenty of questions which are the subject of endless debate. How much of your income should you save? Is it okay to take on debt? Which is better — renting a home or owning one? When it comes to the stock market, should you buy the dip?On his blog, Of Dollars and Data, my guest cuts through the personal finance noise by finding answers based on numbers rather than conjecture, and then converting this research into advice the average person can understand. His name is Nick Maggiulli, and he's the Chief Operating Officer and Data Scientist at Ritholtz Wealth Management, as well as the author of Just Keep Buying: Proven Ways to Save Money and Build Your Wealth. Today on the show, Nick explains what the data says about how you should approach the questions I've already mentioned. He also shares how to spend your money without feeling guilty by using the "2X Rule," the three criteria you should meet before you consider buying a home, the best way to approach the idea of "dollar cost averaging," and more. We end our conversation with the right mindset to adopt in our volatile economy.Resources Related to the PodcastYour Money or Your LifeThe Value of Debt in Building WealthAoM Article: Index Funds For BeginnersAoM Podcast #536: How to Achieve a “Rich Life” With Your FinancesConnect With Nick MaggiulliNick's blog: Of Dollars and DataNick on TwitterNick on IG
Tuhin Srivastava, (Co-Founder/CEO of @basetenco) talks about enabling Data Scientists to build better Machine Learning models and applications. SHOW: 653CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Datadog Security Solution: Modern Monitoring and SecurityStart investigating security threats before it affects your customers with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.CDN77 - Content Delivery Network Optimized for Video85% of users stop watching a video because of stalling and rebuffering. Rely on CDN77 to deliver a seamless online experience to your audience. Ask for a free trial with no duration or traffic limits.SHOW NOTES:Baseten (homepage)Intro to Baseten (video)Baseten get $20M in funding from GreylockTopic 1 - Welcome to the show. Tell us a little bit about your background and why you started Baseten.Topic 2 - Let's start by talking about Data Scientists. Not an easy job. They build models and analyze data. But what typically happens after that? How do the models typically get seen and what needed to happen to make that possible?Topic 3 - What parts of those pain points does Baseten focus on? How does Baseten bring together low-code (or serverless) concepts with the complexity that Data Scientists need to deal with day-to-day?Topic 4 - What are some of the technologies running behind the scenes to make Baseten easy to use, or that are exposed to the Data Scientists? Topic 5 - How does a Data Scientist typically get from “I have a useful model” to “I'm making this part of a useful application”? How does Baseten create building blocks to help them not have to be front-end or back-end engineers?Topic 6 - What are some of the types of use-cases or applications that your customers have been building?FEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet
In this episode you will hear: Mark and Julia discuss part 3 of Brennan Barnard's excellent article that appeared in Forbes on June 9th, 2022, “Be a College Admission Data Scientist”. The article covers many areas where colleges could be more transparent about their data, so you need to probe. We also examine the dilemma colleges face: if they share more, they open themselves up to criticism and misinterpretation of their data. (26:38) If you are a fan of YCBK's lengthy episodes, Mark and Julia, recorded the longest “In the News” in YCBK history. Mark and Julia cover a range of topics from why are so many teachers quitting to what your student needs to do to research the colleges they are applying to (01:13:42) For our question from a listener, it is bonus content time. Lisa leads Mark with a discussion about what parents can do if their own child is feeling devalued because they may not be admitted to an elite college. This is a two-part question. The first part was answered on episode 255 and the final part is answered here on episode 257. (01:37:58) Our interview is with Heath Einstein, the Dean of Admissions. In Part 3 of 3, Mark and Julia discuss the following: Preview of Part 3 What college majors did we not ask you about that are every bit as strong as the ones we did ask you about but they fly under the radar? We know that academic rigor, grades and grade trends are important in admission but what role do the following things play in admission decisions One of our co-host Vince Garcia from California wants to know, do you admit by college or by major, and which programs are the hardest to get into? What advice do you have on college essays and how they impact TCU admission decisions What is the Freedom of Expression and how does that impact admissions decisions What are some of the institutional priorities of TCU? Heath goes on the hotseat in our lightning round and wait until you hear what he says about Albert Einstein! The TCU interview with Dean of Admissions, Heath Einstein will also serve as our college spotlight. (01:51:42) The recommended resource is The website contains lots of discussions about wall street carreers, including which colleges have a good track record of placing kids in which Wall Street jobs. We omitted the recommended resource in last Thursday's (Episode 255) Show Notes, so we are including it here: Accepted! 50 Successful College Admission Essays 4th Edition by . Please send in your questions either on Twitter at @YCBKpodcast using the Messages tab (this is our preference) or via email at for the 28 admissions interviews we are doing in the summer and fall. Our interviews are with the following people at the following schools: Confirmed interviews you can still send in questions for our guests: Bard-Mackie Siebens Mercer-Kelly Holloway Rice University-Tamara Siler American University-Andrea Felder Pitzer College-Yvonne Berumen Chapman University-Marcela Meija-Martinez Connecticut College-Andy Strickler* Trinity College-Anthony Berry* College of the Atlantic-Heather Albert* Spelman College-Chelsea Holley* Scripps College-Victoria Romero* Saint Louis University-Daniel Wood-(Interview is about transfer admissions, Daniel is a transfer counselor) Colby College-Randi Arsenault* University of Georgia-David Graves* Washington University St Louis-Ronne Turner To sign up to receive Your College-Bound Kid PLUS, our free quarterly admissions deep-dive, delivered directly to your email , just go to yourcollegeboundkid.com, and you will see the sign up on the right side of the page under “the Listen to our podcast icons” We are revamping YCBK PLUS and we will have shorter more frequent blog articles that will launch later this fall. Follow Mark Stucker on Twitter to get breaking college admission news, and updates about the podcast before they go live. You can ask questions on Twitter that he will answer them on the podcast. Mark will also share additional hot topics in the news and breaking news on this Twitter feed. Twitter message is also the preferred way to ask questions for our podcast: https://twitter.com/YCBKpodcast To access our transcripts, click: https://yourcollegeboundkid.com/category/transcripts/ Find the specific episode transcripts for the one you want to search and click the link Find the magnifying glass icon in blue (search feature) and click it Enter whatever word you want to search. I.e. Loans Every word in that episode when the words loans are used, will be highlighted in yellow with a timestamps Click the word highlighted in yellow and the player will play the episode from that starting point You can also download the entire podcast as a transcript We would be honored if you will pass this podcast episode on to others who you feel will benefit from the content in YCBK. Please subscribe to our podcast. It really helps us move up in Apple's search feature so others can find our podcast. Don't forget to send your questions related to any and every facet of the college process to: email@example.com. If you enjoy our podcast, would you please do us a favor and share our podcast both verbally and on social media? We would be most grateful! If you want to help more people find Your College-Bound Kid, please make sure you follow our podcast. You will also get instant notifications as soon as each episode goes live. Check out the college admissions books Mark recommends: Check out the college websites Mark recommends: If you want to have some input about what you like and what you recommend we change about our podcast, please complete our Podcast survey; here is the link: If you want a college consultation with Mark or Lisa, just text Mark at 404-664-4340 or email Lisa at firstname.lastname@example.org. All they ask is that you review their services on their website before the complimentary session. Their counseling website is: https://schoolmatch4u.com/