Podcasts about data analyst

Charlotte Ledoux est une experte Data Gouvernance, elle accompagne de très belles boîtes comme Pernod Ricard ou Disney. En parallèle, elle crée du contenu sur LinkedIn sur ce sujet avec beaucoup de succès (+50K abonnés) et est identifiée par les leaders data comme l'experte n°1 sur la Data Gouvernance.On aborde :

Jessica Matheron est CDO Europe chez Nestlé. Avant cela, elle était CDO chez Agicap, une scale-up française.On aborde :

World demand down How's the weather looking for the mid-crop season? What about surplus? What's the recent news from Ghana? Arrival numbers have been hard to come by; now we know why! Current market price and recommendations for coverage going forward Happy Valentine's Day! Host: Eric Thornton, VP Expert: Marilyn Adutwum, Data Analyst

Author of Uncharted Territory: What Numbers Tell Us About The Biggest Hits And Ourselves, Chris Dalla Riva, joins Anna and Raven to discuss his focus on Music, Data Analysis and writing a book!

Travailler dans l'IA : métiers, opportunités et profils pour réussirL'intelligence artificielle est aujourd'hui l'un des secteurs les plus porteurs en matière d'emploi, offrant d'excellentes perspectives de carrière, des salaires attractifs et la possibilité de conjuguer expertise scientifique et passion personnelle dans des domaines variés (santé, sport, culture, finance, industrie…). Mais réussir en IA suppose un socle solide en mathématiques, une forte capacité d'abstraction et des compétences humaines clés comme la curiosité, la rigueur, l'innovation et un très bon niveau d'anglais.✅ DANS CET ÉPISODE NOUS ABORDONS :Pourquoi choisir l'IA : un secteur d'avenir, dynamique, bien rémunéré et particulièrement adapté au système éducatif français.Les métiers de l'IA : du Data Analyst au chercheur en IA, en passant par Data Scientist, ingénieur machine learning, deep learning, architecte IA ou Chief AI Officer.Les profils pour réussir : spécialités recommandées au lycée, importance déterminante des mathématiques, et soft skills indispensables pour s'épanouir dans ce domaine exigeant.

Pour se retrouver dans l'épisode : 00:00 - Introduction : Présentation de Kévin Rosamont, Freelance data analyst & créateur de contenu     02:54 - État des lieux du marché français de la Data en 2026  (tips carrière, prérequis, missions)  06:45 - Quels métiers choisir ? (Data Analyst, Scientist, Engineer etc.). 16:46 - Guide des Salaires Data : Ce que vous devez réellement gagner20:28 - Trouver des clients en tant que freelance44:20 - La Data dans le Football : Analyse de performance et recrutement (les cas de Bruyne, Mo Salah ou encore Damien Commolli)54:18 - Use Case E-commerce : Optimiser ses ventes grâce à l'analyse de données 58:04 - React sur la déclaration du CEO d'Antropic01:05:55 - Conseils de carrière et opportunités de formationPour en savoir + sur la prochaine formation animée par Kévin Rosamont sur Power BI https://lastrat.fr/formations-data/power-bi/

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! If you've ever dreamed of working in sports analytics, this episode is for you. Nick walks through how he got hired by doing the work first, plus advice for breaking into the field and hopes for a strong Reds season.

Ghousia Sultana is a data analyst with a strong foundation in data analytics, engineering, and business intelligence. She began her career as an HR Process Analyst, later transitioned into IT, and now works as a Data Analyst, leveraging tools like Python, SQL, Power BI, Azure, and Databricks to build scalable data pipelines and drive insights. She holds a Master's in Business Analytics and brings a deep interest in the intersection of AI and data. Currently, she is conducting research and writing on how data infrastructure, analytics, and machine learning come together to enable real-world AI solutions. Her work reflects a blend of hands-on technical expertise and a forward-looking perspective on the future of intelligent systems. 

Willkommen im Jahr 2026! In dieser Folge von "UNF#CK YOUR DATA" wagt Host Dr. Christian Krug gemeinsam mit Data-Expertin Zamina Ahmad (Gründerin von Shades & Contrasts und Co-Founder ZAQ) einen tiefen Blick in die digitale Glaskugel.2025 sollte das Jahr der AI-Agenten sein – doch hat sich der Hype bestätigt oder stehen wir vor einer Blase, die bald platzt? Zamina und Christian diskutieren Tacheles über den Stand der Dinge und warum wir im B2B-Bereich eine harte Grenze zwischen Spielerei und echter Automatisierung sehen.In dieser Folge erfährst du:- AI-Agents & Hype: Warum autonome Agenten in Unternehmen noch immer auf sich warten lassen und ob Lis l‘Orange mit ihrer Warnung recht behält.- AI-Native vs. Legacy: Wie Startups heute Prozesse komplett ohne Backoffice planen, während etablierte Firmen noch Rechnungen manuell freigeben.- Job-Transformation: Warum der klassische "Data Analyst" ausstirbt und durch strategische Rollen ersetzt wird.- Customer Experience: Ein Praxisbeispiel vom Oura-Ring, wie KI-Support den Menschen in den Schatten stellt.- Zukunftsmusik & Ethik: Von Ray Kurzweils Longevity-Prognosen für 2040 bis hin zum Problem des neuen "Daten-Kolonialismus".Hör rein, wenn du wissen willst, was 2026 wirklich wichtig wird und warum du deine administrativen Prozesse lieber heute als morgen abgeben solltest.▬▬▬▬▬▬ Profile: ▬▬▬▬Zum LinkedIn-Profil von Zamina: https://www.linkedin.com/in/zamina-ahmad/Zum LinkedIn-Profil von Christian: https://www.linkedin.com/in/christian-krug/Christians Wonderlink: https://wonderl.ink/@christiankrugUnf*ck Your Data auf Linkedin: https://www.linkedin.com/company/unfck-your-data▬▬▬▬▬▬ Buchempfehlung: ▬▬▬▬Buchempfehlung von Zamina: Menschheit 2.0 – Ray KurzweilAlle Empfehlungen in Melenas Bücherladen: https://gunzenhausen.buchhandlung.de/unfuckyourdata▬▬▬▬▬▬ Hier findest Du Unf*ck Your Data: ▬▬▬▬Zum Podcast auf Spotify: https://open.spotify.com/show/6Ow7ySMbgnir27etMYkpxT?si=dc0fd2b3c6454bfaZum Podcast auf iTunes: https://podcasts.apple.com/de/podcast/unf-ck-your-data/id1673832019Zum Podcast auf Deezer: https://deezer.page.link/FnT5kRSjf2k54iib6Zum Podcast auf Youtube: https://www.youtube.com/@unfckyourdata▬▬▬▬▬▬ Merch: ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬https://unfckyourdata-shop.de/▬▬▬▬▬▬ Kontakt: ▬▬▬▬E-Mail: christian@uyd-podcast.com▬▬▬▬▬▬ Timestamps: ▬▬▬▬▬▬▬▬▬▬▬▬▬00:00 Intro: Von verpixelten Bildern und dem Jahr 198301:41 Vorstellung Zamina Ahmad: Karriereweg und Gründung von...

Africa Melane speaks to Stuart Morrison, Data Analyst at Good Governance Africa as political battles and constant no-confidence motions are putting Johannesburg’s service delivery to the test Early Breakfast with Africa Melane is 702’s and CapeTalk’s early morning talk show. Experienced broadcaster Africa Melane brings you the early morning news, sports, business, and interviews politicians and analysts to help make sense of the world. He also enjoys chatting to guests in the lifestyle sphere and the Arts. All the interviews are podcasted for you to catch-up and listen. Thank you for listening to this podcast from Early Breakfast with Africa Melane For more about the show click https://buff.ly/XHry7eQ and find all the catch-up podcasts here https://buff.ly/XJ10LBU Listen live on weekdays between 04:00 and 06:00 (SA Time) to the Early Breakfast with Africa Melane broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3N Subscribe to the 702 and CapeTalk daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

This Episode is produced by Tamilboomi Technologies, it's a learning community where you can meet fellow learning enthusiasts.Whatsapp Group Link: https://chat.whatsapp.com/LDizTwdnCptDNMRJQCqQ3aInstagram : https://www.instagram.com/tamilboomitechnologies/?hl=en Please read the group's Description after joining.For More : Whatsapp: +91 9619663272Site: https://www.tamilboomi.com/Instagram : https://www.instagram.com/tamilboomitechnologies/

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Here is how I would approach becoming a data analyst in 2026 if I were starting over. Focusing on the right fundamentals early changes everything.

Angélique Bidault-Verliac est Chief Data & Performance Officer chez SNCF Connect & Tech, la filiale digitale de SNCF Voyageurs. Avant ça, elle était Chief Data Officer chez OUI.SNCF depuis 2018, ce qui lui donne un solide recul sur les enjeux data du groupe. Elle revient sur la stratégie data menée ces 4 dernières années.On aborde :

Victor Cumer est Data Engineering Team Lead chez Qonto, la solution bancaire en ligne pour les PME et les indépendants qui est aussi l'une des plus belles licornes françaises. Avant de rejoindre Qonto, Victor était Head of Data Platform chez Veepee, une autre licorne française.On aborde :

Samya est Generative AI Research Lead chez Pigment, la nouvelle licorne française qui a levé +230 millions de dollars.On aborde :

Tools change and frameworks die, but your career doesn't have to. Marijn Markus joins the show to explain why "Don't be a fool with a tool" is the single most important piece of advice for modern software engineers and data professionals.In this episode, we cover:The "Meta-Skill" of learning how to learn new technologiesWhy real innovation often originates in "dark" industries like crime and warfareHow to future-proof your career against AI agents and automationWhy understanding the business problem is more valuable than writing the codeThis conversation is essential for engineers who want to move from memorizing syntax to mastering the skills that actually last.Connect with Marijn Markus:https://www.linkedin.com/in/marijnmarkusTimestamps:00:00:00 - Intro00:01:01 - Realizing That Data Science Can Actually Save Lives00:04:36 - Predicting Refugee Movements With Hamburger Prices00:07:05 - Why You Should Try Different Roles Early in Your Career00:12:37 - Learning in Banking to Eventually Help Non-Profits00:15:38 - Why Certifications Are Compensation for Lack of Experience00:18:36 - The Single Most Important Skill in the Tech Field00:21:39 - "If They Understood the Problem, They Wouldn't Hire You"00:25:48 - Why Innovation Comes From War, Crime, and Adult Industries00:31:16 - The Danger of AI Agents and Automated Social Engineering00:35:03 - Focus on Skills That Do Not Have Expiration Dates00:39:47 - How to Navigate Truth in the Era of Deepfakes00:41:30 - Don't Be a Fool With a Tool (The Selenium Trap)00:45:25 - Rising Above the Tools to Become an Expert#SoftwareEngineering #CareerAdvice #Technology

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Most aspiring data analysts struggle with knowing what projects to build. This list of 5 projects spans beginner to advanced levels and is designed to impress recruiters and hiring managers.

Learn all about how a Data Analyst Apprentice uses data to solve the world's problems, one networking event at a time.You've heard of doom scrolling, but what about doom learning? On the latest episode of the Data Podcast for Nerds! Jonathan shares with us how to break the cycle of endless studying without applying your learned skills.Jonathan Yamasaki shares his powerful origin story, including overcoming a spicy childhood to become the first in his family to graduate from college. He explains how he transitioned into data analytics after proving that crucial soft skills are the real key to landing a tech role. Learn how he secured a role through a unique, free apprenticeship program and how he uses his skills to solve real-world problems in construction and community advocacy.Highlights

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I went from ignored to hired by changing my strategy. These are the 3 steps that did it.

Career change is a roller coaster, but it's one you can navigate with the right support. Jenni Roselle, a graduate of Nashville Software School's full-time Data Analytics cohort DDA16, shares her journey from a decade as a hairdresser to landing a data analyst role at Ascension. Jenni discusses how the pandemic prompted her re-evaluation of her career, how her brief compliance role sparked an interest in data storytelling, and why she chose NSS (her husband's success story helped!). She offers invaluable advice on tackling the bootcamp's intensity by setting firm boundaries and shares her strategy for job search success, emphasizing that all connections—even those from swing dancing—matter. 00:58 Life Before NSS 01:04 The Spark for Data 03:21 The Motivation to Choose NSS 03:49 Navigating the Bootcamp Challenge 05:40 Setting Boundaries to Avoid Burnout 07:23 Mock Interviews and Career Development 10:59 Strategy for Landing the Job 12:12 Networking Advice: Always Share What You're Doing 13:37 Unexpected Connections (from Swing Dancing!) 16:04 Is Now the Right Time to Start? Data Analytics Bootcamps: Full-time: https://nashvillesoftwareschool.com/programs/data-analytics-full-time Part-time: https://nashvillesoftwareschool.com/programs/data-analytics-part-time Analytics Jumpstart: https://nashvillesoftwareschool.com/programs/analytics-jumpstart

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Andre is the cofounder of NovoResume and has reviewed thousands of resumes from data professionals, from Amazon analysts to complete beginners, and he keeps seeing the same avoidable mistake. In this episode, he explains how to turn weak task lists into impact bullets, pass ATS checks without tricks, and use projects plus clear storytelling to make your resume truly stand out.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I unpacked the 7 biggest myths circulating in the data career space and reveal what actually matters when trying to land your first role.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Can You Pass This Data Analyst Interview?

This episode features a panel of CNA's own Gayatri Gopavajhala and Lizzy Schneider, data scientists, discussing their paths to being in their roles as data scientists at CNA. Guest Biographies Gayatri Gopavajhala is a Data Analyst in CNA's Data Science for Sustainment Program. Lizzy Schneider is a Research Analyst in CNA's Data Science for Production Program.     

Schizophrenia ஒரு வகையான மனச்சிதைவு நோய் - இந்திய பின்னணி குறிப்பாக தமிழர்களுக்கு இந்நோய் தாக்குவதற்கு காரணி உள்ளதா? உள்ளது எனில் அந்நோய் ஏற்படுவதற்கான DNA மூலக்கூறுகள் என்ன? போன்று Schizophrenia குறித்து பல ஆண்டுகளாக ஆய்வுகள் மேற்கொண்டு வருகிறது குயின்ஸ்லாந்து பல்கலைக்கழகம். இந்த ஆய்வில் தரவு ஆய்வாளராக (Data Analyst) பணிபுரியும் சதிஷ் பெரியசாமி அவர்கள் செல்வியுடன் இது குறித்து கலந்துரையாடுகிறார்.

Soybeans Soybean prices “rise from the dead” to 15-month highs! China/U.S. trade announcements require careful analysis How impactful in the short and long term? Chocolate Halloween chocolate prices are up, up, up! Retail chains may be running some promos to try and get a lot of volume sold Will they be successful? Want to go more in depth on cocoa? Join us for next week's webinar! Cocoa Market Update Webinar Wed., November 5, 11am PT / 2pm ET Clients, be on the lookout for your invite, or anyone can sign up now at mckeany-flavell.com Happy Halloween! Host: Michael Caughlan, President & CEO Expert: Eric Thornton, VP Expert: Marilyn Adutwum, Data Analyst

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Data meets music

Send Kevin a Text MessageIn this episode of Don't Kill the Messenger, host Kevin Goetz welcomes UK-based film industry analyst Stephen Follows for a discussion about film profitability and its connection to data. Stephen's digital book Greenlight Signals analyzes over 10,000 films and 4 million audience responses using secondary data (existing reviews, ratings, and comments from across the internet) to discover what makes a film successful. Together, Kevin and Stephen explore the same mission from different angles: ensuring filmmakers can make money while making the movies they're passionate about.From Film School to Data Research (2:32) Stephen shares his path from producing micro-budget features to becoming an entertainment data analyst, driven by his love of cinema and his passion for solving problems through logic and research.The Numbers Don't Lie (9:59) Stephen recounts the eye-opening experience of helping a producer friend with a business plan, only to discover that every similar film had lost money.Why Experience Doesn't Equal Success (12:47) Stephen reveals his surprising research finding: there's little to no correlation between a producer's experience and their film's profitability, showing how passion can interfere with business sense.Two Books, One Goal (22:01) Kevin and Stephen discuss their approaches to data: Kevin's How to Score in Hollywood focuses on pre-greenlight capability testing using audience data, while Stephen's Greenlight Signals uses secondary data to identify patterns across genres. Both emphasize that data guides decisions rather than dictating them.Horror Films: Control and Atmosphere (33:50) Stephen and Kevin discuss what makes horror movies work, from declaring your genre early to shot-length and how controlling what audiences see and when they see it is essential to creating fear.Every Movie Should Make Money (45:50) Kevin and Stephen discuss Kevin's theory that every film, if made and marketed for the right price, should be profitable.Universal Rules Across All Genres (47:49) Stephen and Kevin identify critical commonalities of successful films: emotional authenticity, clear character wants, visible stakes, avoiding confusion, respecting established rules, and maintaining consistent tone throughout.This episode offers invaluable insights for anyone interested in the intersection of art and commerce in Hollywood.If you enjoyed this episode, please leave us a review and share. We look forward to bringing you more behind-the-scenes revelations next time on Don't Kill the Messenger.Host: Kevin GoetzGuest: Stephen FollowsProducer: Kari CampanoWriters: Kevin Goetz, Darlene Hayman, and Kari CampanoAudio Engineer: Gary Forbes (DG Entertainment)For more information about Stephen Follows:Website: https://stephenfollows.com/Instagram: https://www.instagram.com/stephenfollows/IMDB: httpsFor more information about Kevin Goetz:- Website: www.KevinGoetz360.com- Audienceology Book: https://www.simonandschuster.com/books/Audience-ology/Kevin-Goetz/9781982186678- How to Score in Hollywood: https://www.amazon.com/How-Score-Hollywood-Secrets-Business/dp/198218986X/- Facebook, X, Instagram, TikTok, YouTube, Substack: @KevinGoetz360- LinkedIn @Kevin Goetz- Screen Engine/ASI Website: www.ScreenEngineASI.com

Simone Bruno, Associate Director, Data Analyst, Market Practice and Regulatory Policy, summarises the recenty released ICMA European Secondary Bond Market Data Report, covering sovereign bonds

In this episode of the Teacher Fellows Podcast, hosts Ryan Rarick and Lauren Merkley are joined by Brooke Anderson, a data scientist from Jordan School District, and Stephan Seabury, a social studies teacher and James Madison Fellow for 2023. They discuss the importance of integrating data with policy to enhance the teaching profession. They explore how data can be reframed to empower teachers, the role of storytelling in making data impactful for policymakers, and actionable steps teachers can take to engage in policy-making processes. The guests emphasize the need for accessible, transparent data and the critical role of context in interpreting it.00:00 Introduction and Host Welcome01:14 Meet the Guests: Brooke Anderson and Stephan Seabury02:23 Brooke Anderson on Data Science in Education03:11 Empowering Teachers with Data05:23 Using Data in Policy Conversations09:20 How Teachers Can Get Involved in Policy14:58 Making Data Transparent and Accessible22:09 Concluding Thoughts and Takeaways25:37 Closing Remarks and Podcast InformationGUESTS ON EPISODE:Brooke Anderson - K12 Data Scientist in Jordan School District, Data Analyst for the Teacher FellowsStephan Seabury - History Teacher for Providence Hall High School, Teacher and Community Engagement for the Teacher FellowsADDITIONAL RESOURCES:Utah State Legislature Website - https://le.utah.gov/ SOCIAL MEDIA CONNECTIONS: Want to be on the podcast? Fill out this form - Podcast Interview SurveyTeacher Fellows Website: teacherfellows.orgLinkedin: Utah Teacher Fellows Twitter: @TeachFellowsPod or @HSG_UTInstagram: @TeacherFellowsPodcast or @hsg_utFacebook: @utahteacherfellowsprogramEmail us: socialmedia@hopestreetgroup.org PART OF THE SHOW Hosts:Lauren Merkley (insta: @lmerkles) -- Taught AP English Language and Composition, Creative Writing in Granite School District, 2020 Utah Teacher of the YearRyan Rarick (insta: @raricks_room) -- Education Pathway Teacher for Washington Country School District, 2025 Rising Teacher Leader of the YearExecutive Producer:Kayla Towner (insta: @mrstowner9) -- Taught elementary education K-6th, Technology Specialist, Project Manager, and Podcast Producer.Info Drop Spokesperson:John Arthur (insta: @9thEvermore) -- Co-Director of the Teacher Fellows, 6th Grade Teacher in Salt Lake School District, 2021 Utah Teacher of the Year, 2021 National Teacher of the Year Finalist.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I'll walk you through the exact data analyst job hiring pipeline from a hiring manager's perspective & show you how to NOT get rejected.

By Adam Turteltaub Andrew McBride, Founder & Chief Executive Officer at Integrity Bridge, recently wrote an article entitled Generative Artificial Intelligence Use Cases for Ethics & Compliance Programs.  Intrigued by the topic, I sat down with him for this podcast. He shared that many compliance teams are charged with using AI but may not have the  desire or know how to create and implement a use case. He shares that AI is very good at doing a specific role and a specific activity.  Consequently, compliance teams should consider not just the use of AI as a whole but specific needs that they have for it.  He gives five specific use cases: Interpreter. AI can translate documents and training in seconds.  It can also help you distill long documents into pithy, usable summaries both for you and management. Drafter.  It can draft from scratch or improve what you have already put together, even creating interactive scenarios that can be useful in training. Researcher.  You do have to be mindful of hallucinations, but if you set up the AI to only use your own data or a trusted set of ources, it is more reliable.  Do, though, always check its work. Data Analyst. As compliance teams are called to amass and analyze more data, AI can help you do it, identifying, for example, relationships between training and calls to the helpline. Monitor, Investigator, Auditor. AI can review both structured and unstructured data, helping you identify red flags. Listen in to learn more, and then, start building your own use case for generative AI.

Austin shares his 7 step process for writing a job-winning LinkedIn headline!Time Stamped Show Notes:[0:30] - The LinkedIn headline is a great place to stand out[1:28] - The truth about LinkedIn headlines[2:43] - 2 things all great headlines have[5:32] - Finding your unique value[8:48] - The LinkedIn headline formulaResources Mentioned In Today's Episode:LinkedIn Headline GuideLinkedIn Headline Formula:[Job Title] | [Keyword 1], [Keyword 2], [Keyword 3] | [Unique Value Prop]LinkedIn Headline Example #1:Marketing at Snap | B2B, Paid Social, Analytics-Driven | I Help Snap's B2B Clients Generate 500% ROAS With Social AdvertisingLinkedIn Headline Example #2:Graphic Designer at Hubspot | Human-Centered Designer | I Help Companies Create Ad Designs That Drive 30% More ConversionsLinkedIn Headline Example #3:Data Analyst at Microsoft | Python, SQL, Tableau | I Help Companies Use Big Data To Tell Stories That Boost Customer Retention By 77%Want To Level Up Your Job Search?Click here to learn more about 1:1 career coaching to help you land your dream job without applying online.Check out Austin's courses and, as a thank you for listening to the show, use the code PODCAST to get 5% off any digital course:The Interview Preparation System - Austin's proven, all-in-one process for turning your next job interview into a job offer.Value Validation Project Starter Kit - Everything you need to create a job-winning VVP that will blow hiring managers away and set you apart from the competition.No Experience, No Problem - Austin's proven framework for building the skills and experience you need to break into a new industry (even if you have *zero* experience right now).Try Austin's Job Search ToolsResyBuild.io - Build a beautiful, job-winning resume in minutes.ResyMatch.io - Score your resume vs. your target job description and get feedback.ResyBullet.io - Learn how to write attention grabbing resume bullets.Mailscoop.io - Find anyone's professional email in seconds.Connect with Austin for daily job search content:Cultivated CultureLinkedInTwitterThanks for listening!

From French Open heartbreak to US Open glory

Here are 5 exciting and unique data analyst projects that will build your skills and impress hiring managers! These range from beginner to advanced and are designed to enhance your data storytelling abilities.✨ Try Julius today at https://landadatajob.com/Julius-YTWhere I Go To Find Datasets (as a data analyst)

What, exactly, is data analytics? Why do degrees in data analytics matter — and what types of industries might you work in upon graduation? How are AI and data analytics interconnected, and what does that mean for the future?  On this episode of SNHU Explains, we sat down with Wanda Bradley, an adjunct instructor at SNHU with an extensive background in data analytics. Listen on to hear her answers to these questions (and lots more).  

Josh Gledhill was a music‑industry professional who, after 1,026 days of unemployment, landed not one but two data job offers. In this episode, he shares how he overcame dyslexia and how he used Threads, a 40‑page PRINTED Portfolio, and the SPN Method to become a data analyst at Staffordshire County Council.✨ Try Julius today at https://landadatajob.com/Julius-YT

What does it take to land a data analyst job at Tesla, and what challenges await you once you're there? Join me as I interview Lily BL, a former Tesla data analyst, who reveals her exhilarating journey in the world of data at one of the world's most innovative companies.

Today we're joined by Tom, Head of Data at Entropy Advisors and Ali, Data Analyst at Entropy Advisors to explore how they're accelerating DAO development on Arbitrum.We discuss:Governance and treasury management strategiesDAO governance process and decision-makingDelegate dynamics and voting behaviorTracking grants and ensuring financial transparencyThe future of gaming in Web3Fund allocation and budget managementChallenges and criticisms of gaming investmentsThe role of program managersUsing dashboards for better insightsUnderstanding “Time Boost” and its impactLicensing fees and their implicationsAnd much more—enjoy! — Timestamps: (00:00) Introduction (03:36) Entropy Advisors: Accelerating DAO Development @arbitrum (08:10) Governance and Treasury Management (21:15) DAO Governance Process (28:31) Delegate Dynamics and Voting (43:21) Tracking Grants and Financial Transparency (47:58) The Future of Gaming in Web3 (48:34) Fund Allocation and Budget Management (49:28) Challenges and Criticisms of Gaming Investments (50:52) The Role of Program Managers (52:36) Dashboards (1:01:17) Understanding Time Boost and Its Impact (1:09:35) Licensing Fees (1:24:08) Outro —Content links:Join the Indexed Pod group chat: https://t.me/+Jmox7c6mB8AzOWU01. Arbitrum DAO: Financials: https://dune.com/entropy_advisors/arbitrum-dao-financials2. Arbitrum DAO: Treasury: https://dune.com/entropy_advisors/arbitrum-dao-treasury3. Arbitrum DAO: Governance Proposals: https://dune.com/entropy_advisors/arbitrum-dao-governance-proposals4. Arbitrum DAO: Delegates: https://dune.com/entropy_advisors/arbitrum-dao-delegates —Follow the guests:Ali: https://x.com/AliTslmTom: https://x.com/tomwanhhFollow the co-hosts: https://x.com/hildobby_ https://x.com/0xBoxer https://x.com/sui414Follow the Indexed Podcast:https://twitter.com/indexed_pod — The Indexed Podcast discusses hot topics, trendy metrics and chart crimes in the crypto industry, with a new episode every 1st and 3rd Thursday of the month, brought to you by wizards @hildobby_ @0xBoxer @sui414.Subscribe/follow the show and leave a comment to help us grow the show! — DISCLAIMER: All information presented here should not be relied upon as legal, financial, investment, tax or even life advice. The views expressed in the podcast are not representative of hosts' employers views. We are acting independently of our respective professional roles.

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For a chance to win an ADV Backpack, sign up for my newsletter belowhttps://baselineintelligence.substack.com/For 10% off all ADV Gear, click on this link below!https://www.advtennis.pro/discount/stokketennisOn Today's Episode We Talk:2:04 Statistical Analysis vs Strategic Analysis9:10 Scouting yourself vs your opponents13:24 Tactical inefficiencies on the WTA Tour21:30 Optimal first serve strategy31:12 The statistic that helps you hold serve36:04 How to improve without statistics

In this podcast episode, Jaeden discusses the startup Julius, which recently raised a $10 million pre-seed round. He explores the initial skepticism surrounding the company, particularly in light of competition from AI models like ChatGPT. Jaeden emphasizes the importance of focusing on a specific niche and use case, highlighting Julius's success in data analysis and visualization. The episode also touches on Julius's collaboration with Harvard Business School and the potential for future growth.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/-3wQO_KEgBMChapters00:00 Introduction to Julius and Its Controversy04:58 The Unique Value Proposition of Julius08:13 Partnerships and Use Cases

Douglas Pestana has over 13 years of experience in data science, machine learning, natural language processing, and AI. Throughout his career, Douglas has managed data science and analytics in healthcare, startups, and Fortune 500 companies. He has built and deployed various AI models, making him the perfect fit to lead the development of our innovative contract review software. He's also the founder of Remix Institute, a startup that trains members for careers in AI. You can learn more about Douglas Pestana and his team at LegalMente AI here: https://legalmente.ai/team/ You can also watch this episode on YouTube here: https://youtu.be/J9UdhqRpM_E Follow the Agents of Innovation podcast on: Instagram: / innovationradio Twitter: / agentinnovation Facebook: / agentsofinnovationpodcast You can support this podcast and our Fearless Journeys community on our Patreon account: www.patreon.com/fearlessjourneys You can also join our network -- and our group trips -- through the Fearless Journeys community at: https://www.fearlessjourneys.org 0:00 Episode Intro 2:24 Introduction of Douglas Pestana 4:20 Early life and education in Tampa, Florida 5:25 Excelling in Mathematics and Cultivating Strengths 11:00 First Post-College Job as a Data Analyst in Las Vegas 14:44 Putting the Odds in Your Favor 16:51 Where Innovation Flourishes Most 18:54 Using AI to Be a Problem Solver 20:12 Real Value of Machine Learning: Predicting the Future 22:30 How AI can help entrepreneurs 23:50 AI Machines: Automating Known Factors to Predicting the Unknown 30:55 How to Integrate AI into our daily habits 38:08 What is LegalMente and why was it founded? 42:14 How the average person & lawyers can benefit from LegalMente AI 44:40 Will AI eliminate jobs for lawyers? 51:10 How solo practitioners and small legal firms can use LegalMente AI 53:23 How LegalMente uses technology and the law in its product 53:50 How and why everyone should begin utilizing AI tools in their daily use 55:13 How Fearless Journeys helps entrepreneurs connect and solve problems 55:48 Entrepreneurs are Problem Solvers 58:28 How Alexander McCobin and Ron Paul brought Francisco and Doug together

He went from being a Car Sales Employee To A 6 Figure Tech Career, after completing a tech bootcamp! Tune in to be inspired and educated by his story!The bootcamp he did is only 449 bucks with my discount link. For everyone who wants s similar tech career or something different, click here for the discount:https://coursecareers.com/member?redirect_to=/checkout/data-analytics-course/full-paymentFor those who already have education & experience, but you just want some job placement assistance, click here to get job placement assistance: https://bit.ly/jobplacementassistFor everyone who wants to get up to $100k in funding and you believe you qualify, click here to see if you do! https://bit.ly/100kFundinglinkAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Current weather and conditions in West Africa Anemic Q2 cocoa bean grind figures weigh on the market Ghana is planning to change the new crop year start date from Oct. 1 to Aug. 1  Hershey announces more price increases? Halloween candy spared (for now) Not a customer on McKeany-Flavell's IQ Intelligence Platform? Visit mckeany-flavell.com to learn more about IQ, where we offer subscribers 24/7 access to Real-time market updates and technical analysis Discussion of supply and demand fundamentals Price forecasts As well as charts, tables, and downloadable PowerPoint market overviews Host: Eric Thornton, Senior Commodity Advisor Expert: Marilyn Adutwum, Data Analyst

Tired of spending money on data courses you never finish? Here are 7 essential books that will actually boost your analytical skills, with no subscription required! Plus, make sure to tune in till the end as one lucky listener will get a free book from this list! Get the books here!DISCLAIMER: Some of the links in this video are affiliate links, meaning if you click through and make a purchase, I may earn a commission at no extra cost to you.Storytelling with Data by Cole Nussbaumer Knaflic

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On this week's episode, Tim has a conversation with Justin Ray, a Golf Data Analyst who has made himself well-known across the Golf world. Tim and Justin discuss Justin's story that started at the University of Missouri, how he analyzes the game, and who he likes this week at Augusta. Please support our sponsors:Mark Hannah – Evergreen Wealth StrategiesJames Carlton Agency (State Farm)Design Aire Heating & CoolingFollow us on Social Media: @TMASTL on Twitter, @tma_stl on Instagram Learn more about your ad choices. Visit podcastchoices.com/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this week's episode, Tim has a conversation with Justin Ray, a Golf Data Analyst who has made himself well-known across the Golf world. Tim and Justin discuss Justin's story that started at the University of Missouri, how he analyzes the game, and who he likes this week at Augusta. Please support our sponsors: Mark Hannah – Evergreen Wealth Strategies James Carlton Agency (State Farm) Design Aire Heating & Cooling Follow us on Social Media: @TMASTL on Twitter, @tma_stl on Instagram Learn more about your ad choices. Visit podcastchoices.com/adchoices