Podcast appearances and mentions of ken jee

20 minutes of straight genius data advice. Learn form the top data analysts on what hiring managers are looking for, how to ace the interview, the future of Data & AI, and networking effortlessly. Listen to the episodes: Alex the Analyst Luke Barousse Avery Smith Ken Jee Josh Starmer (StatQuest) Matt Mike Andy Kriebel Matt Brattin ⁠

Learn all about how this exponential podcast host uses data to solve the world's problems, one athlete interview at a time. Ken's journey with podcasting has been one of the most impactful things he's done in his entire life and most recently set an ambitious goal to embark on the most complete study of excellence in sports ever created. In this episode, we are covering all the bases from unraveling the secrets of podcasting to sharing insights on the IKEA furniture assembly conundrum. Highlights

In this episode of the Data Career Podcast, Avery interviews Ken Jee. They delve into Ken's unique path into sports analytics, starting from his personal experience as a golfer and his curious inquiry that led to an internship and gradually crafted a niche in sports data science. ✉️ Discover what we wish we knew about landing the dream job

The 100th celebration episode of the Data Career Podcast features a special panel interview conducted by Avery Smith with prominent data content creators, including Ken Jee, Monica Kay Royal, Richad Nieves-Becker, and Elijah Butler. Recorded in Charleston, South Carolina, this milestone episode dives into personal experiences in the data field, the relationship with AI, favorite data learning resources, and interview tips. The discussion provides a unique mix of backgrounds, offering perspectives on succeeding in data careers, the impact of AI, and the importance of continuous learning. Connect with the panels on LinkedIn:

Ken Jee, a data scientists who enjoys machine learning, AI, data science and Sports Analytics joins the Member Guest Podcast to discuss analytics and golf. Ken talks assisting Team USA's Ryder Cup decisions, working with the captains, and how using analytics in golf can make a big impact on your game!

Ken Jee joins the show to chat about how he makes awesome content, podcasting and being authentic, jiu jitsu, maximizing your time, and adapting to AI. #datascience #kenjee #data #ai ----------------------- If you like this show, give it a 5-star rating on your favorite podcast platform. Purchase Fundamentals of Data Engineering at your favorite bookseller. Check out my substack: https://joereis.substack.com/

Ken is the famous youtuber, founder of the #66DaysOfData challenge. As the Head of Data Science at Scouts Consulting Group, he spends his work days improving the performance of athletes and teams by analyzing the data collected on them. He also dabbles in entrepreneurship and content creation and is best known for my YouTube channel where he help over 100,000 people navigate the data science landscape. ​More recently, He is focused on project-based learning. Shares the processes that data scientists take when approaching Kaggle competitions and new datasets. He started the #66DaysOfData challenge to help people create the habit of learning and working on projects every day. Also launched his podcast, Ken's Nearest Neighbors to give learners real-life case studies of success in the field. We talk about how he began his Data science journey, Changing careers, Sports analytics, #66DaysOfData, Tips for Freshers and more!! Ken's Links: https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg https://www.linkedin.com/in/kenjee/ https://www.kennethjee.com/ https://medium.com/@kenneth.b.jee Our Links: Follow us on Instagram: https://www.instagram.com/hit.refresh.podcast/ Spotify: https://open.spotify.com/show/4OVe22YZcC86rJNctD8JGC Apple Podcasts: https://podcasts.apple.com/us/podcast/hit-refresh/id1587591069 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8yOTYzMzFlYy9wb2RjYXN0L3Jzcw== --- Send in a voice message: https://anchor.fm/hit-refresh/message

Maximising for happiness, instead of maximising for output. That really stuck with me after my conversation with Ken Jee. When you maximise for output, you're on a path that leads to more output, and more output until you burn out. Realising what drives you, what your personal values are and what makes happy will allow you to shift your attention to the things that matter in your life. Because life is like a pencil that will surely run out. It's up to you to leave behind your beautiful writing of life. (Yes, I'm paraphrasing One Piece here) A few of the topics we covered, in order

Ken Jee and Chris Tabb join the show to chat about data career advice for economic downturns. Live from Joe's house! This is a special episode for the TGIF, Let's Talk Data Show on 5/13/2022. #data #careers #recession

This episode of DATAcated on Air is a double topic from guest Ken Jee, Head of Data Science at Scouts Consulting Group. Host Kate Strachnyi talks with Ken about his experience breaking into data science and sports analytics. Ken is a remarkable data scientist and YouTuber. Listen to learn more about the relationship between data science and sports analytics. You will want to hear this episode if you are interested in... A broad view of data science [04:13] Platforms to start problem-solving [06:09] The backbone of data science [12:58] Breaking into sports analytics [16:32] Employee referrals without experience [25:13] What is sports analytics? [29:16] Alternate routes to being successful [38:27] Market opportunities in sports analytics [46:38] Resources & People Mentioned Kaggle #66DaysOfData | KennethJee AndrewMoMoney - YouTube Chai Time Data Science - YouTube Playing Numbers Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics Nylon Calculus news How to Start a Career in Data Science 2022 | Udemy Oura Ring Connect with Ken Jee On LinkedIn On YouTube Connect with DATAcated http://www.datacated.com/ DATAcated on LinkedIn: https://www.linkedin.com/company/datacated1/ Kate on LinkedIn: https://www.linkedin.com/in/kate-strachnyi-data/ DATAcated on Twitter: https://twitter.com/datacated_ DATAcated on YouTube: https://www.youtube.com/datacated Subscribe to the DATACATED On Air podcast --- Support this podcast: https://anchor.fm/datacated/support

Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community. In this episode you will learn: • The inspiration behind Ken's YouTube videos [18:03] • Ken's four steps for getting started in data science [24:18] • How sports analytics is transforming sports like golf [33:32] • Ken's favorite tools for software scripting as well as for production code development [41:10] • How the #66DaysofData hashtag can supercharge your capacity as a data scientist [42:51] • Ken's data science podcast Ken's Nearest Neighbors [54:11] • LinkedIn Q&A [1:00:32] Additional materials: www.superdatascience.com/555

Ken Jee is the head of data science@Scouts Consulting Group and a YouTube creator with over 180k followers. Today we talked about sports analytics, how to grow your career and get promoted, how to explain complex concepts to stakeholders, how to build personal brands as data scientists. Subscribe to the show and I'll appreciate a comment or 5-star review if you find it helpful Follow Daliana Liu on Twitter for more updates on data science, career, and this show. Ken Jee's Linkedin, YouTube.

Want to know more about Sports Analytics? In this episode Ken Jee, Head of Data Science at Scouts Consulting Group, talks about Data Science, Sports Analytics, Data Science Courses and his YouTube journey! #data #datascience #python #machinelearning #analytics #sportsanalytics #ai #bi #artificialintelligence

Can data help athletes improve their performance? How do you predict outcomes of sports games using data? To learn about sports analytics, we invited Ken Jee, a data scientist, focused on sports analytics, and a Youtuber with 165K subscribers to speak with us. In this episode, we will discuss how data analysis is used to improve performance and the struggles sports analysts face in the present sports industry. To learn more about sports analytics, listen to our latest episode!

An aspiring professional athlete turned YouTuber, Ken Jee truly embodies the idea of making a living doing what you love. In our conversation, Ken talks about how his passions have led his business interests, and how that mindset has expanded his definition of "entrepreneurship". Additionally, we talk about the power of repetitions and the importance of embracing "small, acceptable failures". We explore the feeling of imposter syndrome and how consistently seeing personal growth through his videos helps him combat this feeling. Ken Jee's YouTube Channel --- Send in a voice message: https://podcasters.spotify.com/pod/show/behelpfulpodcast/message

You may recognize Ken from YouTube - where he's amassed 140,000+ subscribers and over 3 million video views. MEMORABLE QUOTES [00:07:21] “… I think some people will think That's just because they have those qualities, that they remain fixed, that they are unable to change these aspects about themselves, that reinvention is not something possible for them. So they are just going to continue on this path and just continue living up to whatever box they've kind of put themselves in.” [00:08:11] “ If I set out everything that I'm going to do and make it as easy for myself to succeed as possible, I'm likely going to find more success than if I just started with everything jumbled.” [00:10:21] “… because you're putting on that different character. You're becoming that other person. You're becoming who you'd like to be, who the last person was that wasn't living up to standards, whatever that might be.” [00:11:03] “ You can choose to remove that belief system, install a new one and reinvent yourself that way and just kind of reinvent the way you think about things.” [00:11:57] “ I think intelligence is a function of a lot of things and that's not something we should really care about… You can be successful without being too bright. You just have to understand how systems work, whatever they might be.” [00:12:56] “Understanding that you can do something, believing that you are capable of growth or change over time and eventually, tackling those things head on and proving to yourself that you can do those things.” [00:12:58] “ it's kind of a step process, you've got to believe, you've got to see some success and then you've got to just run with it as much as you can over time.” [00:37:54] “ Curiosity is what encourages you to keep learning new skills which you are inevitably going to need in this profession.” [00:44:00] “ Humans are still some of the most powerful computers walking around, know we are incredibly attuned to in particular speech or some of these different systems and we can still make good decisions beyond what a computer can do, if we are trained properly.” HIGHLIGHTS FROM THE SHOW [00:00:48] Guest Introduction [00:03:13] Ken tells us about the Silver Plaque button he got for 100,000 YouTube subscribers [00:04:54] Talk to us about where you grew up and what it was like there [00:07:58] What would you say if given the opportunity to help somebody who sees things differently? [00:11:21] Have you ever had to stay put without having to really change your surroundings but just the internal stuff? [00:13:13] How you can reinvent yourself through belief systems [00:13:51] What Ken think about luck and it's interpretation [00:16:02] Are you right now, curious or interested in anything? [00:19:23] How did you find yourself in the data world? [00:21:57] Do you think you need graduate training to become a data scientist? [00:24:03] As an educator, in 10 to 15 years, do you think the education “ ecosystem “ is going to be changed? Do you think college is going to be something you need to do? [00:27:55] Why Ken thinks Schooling breeds interpersonal skills. [00:29:29] Why 66days? of Data Science Science Challenge and what do you think were some of the hardest things to unlearn in that process? [00:33:09] What would you say was your least favorite thing to relearn about Data Science? [00:34:23] In the process of learning new habits, what is the one habit you decided not to pick up because you found it irrelevant to the world of data science? [00:36:08] When you are breaking down large problems into chunks, do you have a systematic way to do it? Or does it vary with every problem you are facing at the time? [00:36:41] What is your favorite question that people ask you about breaking into data science? [00:37:47] What do you think is the most underrated skill that a data scientist can have? [00:40:45] When it comes to projects, what do you think is more important? Content or Process? [00:43:40] What do you think the biggest misconception data scientists have about data science is? [00:45:40] What would you say is the biggest misconception that aspiring data scientists have about data science. [00:46:46] When someone says the bigger picture, what does it mean to you? [00:48:49] How do you decide what next you'll spend time learning or developing? [00: 52:53] Tell us about your Ken's Nearest Neighbor's podcast [00:56:35] it's 100 years in the future. What do you want to be remembered for? [00:57:41] The Random Round Special Guest: Ken Jee.

Get 70% off of Data Science Dream Job today! http://dsdj.co/artists70 Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh [00:00:09] We open with the question: What's a belief you had at the beginning of your data career that, looking back on now, realize was probably false? [00:13:33] What's an underserved topic in data science content? [00:24:13] What are some good resources for MLOps? (Shout out to my friends at Comet ML) [00:31:49] How to have those hard conversations with stakeholders when projects fail? [00:36:33] MLOps again [00:42:15] Interview strategies [00:51:36] Nasdaq's stack overflow [00:59:08] Does anyone else have suggestions for how to be more productive? [01:01:40] Leveling up in your career [01:10:01] Lots of book recommendations

My friend Vivianne takes over for my while I celebrate my wife's birthday - Happy Birthday Romie! Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job [00:00:55] Barack Obama believes in UFOs [00:06:06] How do you guys structure your week? [00:08:20] 70% is ready enough [00:13:36] At the start of your career, it's 80/20…as you move along, it's 50/50 [00:15:23] What does career growth look like – is moving into a strategic role the only way up? [00:15:48] What career growth looks like at Verizon [00:17:59] What's the career path look like for people who want to stick to technical work but still move up? [00:19:28] Vin talks about some awesome work experiences he had [00:21:22] Using your hands versus using your brain [00:27:06] Do I have to quit what I love doing to get paid more? [00:28:27] How do we define impact for business and does growth have to be tied to business impact itself? [00:31:33] Vin on why companies need intelligent compensation packages [00:34:09] Greg on prioritization and the decision matrix [00:37:04] Some great dialog on company culture and it's impact on innovation [00:41:27] What are all these titles about “Staff Data Scientist”, “Principal Data Scientist”, “Distinguished Data Scientist” all about? [00:43:50] The reality of what it's like to be one of these people with an inflated title. [00:45:06] Would you say that companies are sometimes reluctant to give that title to people? [00:46:16] The highest paid data scientist that Vin has seen [00:46:53] Could it be that it is the domain that dictates that kind of range? [00:47:34] Can you pick up the culture of a company from a job description? [00:50:15] People culture vs technical culture [00:56:18] Vacation policies [00:57:38] Inspect the failure culture of an organization Special Guests: Greg Coquillo and Vin Vashishta.

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Vote in the data community content creators awards! http://bit.ly/data-creators-awards Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Check it out and don't forget to register for Friday Happy Hour sessions: http://bit.ly/adsoh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job [00:00:50] Say hello to Austin, Comet's new Head of Community! [00:03:03] How do you make learning fun? [00:09:20] Learning as a six-step process [00:16:42] We talk about the enigmatic Denis Rothman [00:18:17] The importance of keyboard shortcuts [00:27:46] How to handle requests to speak at events [00:40:28] We start talking about information theory somehow [00:45:08] How to become a better teacher [00:52:19] Don't have too many tabs open in your brain!

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job Highlights from this episode [00:02:30] Vin tells us about his crazy week [00:03:40] How do you best prioritize things you're working on? [00:18:00] Cryptocurrencies, Elon Musk, and investing [00:26:34] Do different strategies, along with the sentiments that are playing around, affect how a certain crypto value is going to scale from time to time? [00:31:41] What are some things that you would do to set yourself up for success when moving to an engineering team for the first time in your career? [00:35:31] How to communicate with engineers [00:39:37] Focus on delivering something right away that's going to show your value, even if it's just something small that you think you can do in a week. [00:42:02] Learning new tools is the easiest part. Forging new relationships, managing these relationships, and maintaining them…that's what you want to focus on [00:44:11] Should data scientist act with more logic than emotion? What is that balance between logic and emotion? [00:53:19] Statistics is not actually a super hard science. [00:55:18] You have to understand that there's a lot of people that are like me that don't have natural empathy [01:01:55] Jennifer shares some great news! [01:03:44] Learning Java Special Guests: Greg Coquillo, Mikiko Bazeley, Santona Tuli, PhD, and Vin Vashishta.

We kick this happy hour with the question - "How do you tell people they have no clue what they're talking about?" Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job

The best Comet Office Hour Session to date! Wow - we're picking up steam on Sundays. Be sure to tune into this one, some great conversation and discussions. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job [00:01:40] How to gain skill in data science [00:07:39] Where can we find data for a project? [00:09:44] Data science project ideas using open data [00:12:59] Sharing code with potential hiring managers and using good frameworks for projects [00:17:01] Do tiny projects to gain skill [00:19:16] A community member shares her experience learning data science while coming from a non-technical background [00:26:11] How do I do “research and stuff”? [00:31:43] Why you need to ask questions and not just go off and do things [00:35:27] Docker, Kubernetes, and Clouds…oh my! What does this have to do with data science? (I provide several non-satisfactory explanations) [00:45:06] What do I need to study?! [00:52:31] Networking [00:53:52] Resume review [01:05:50] What tools do I need to know for data science?

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job

In this episode of the Data Standard, we talk at length about how someone can break into sports analytics as a career and Ken's youtube channel.Ken LinkedIn: https://www.linkedin.com/in/kenjee/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

Check out this conversation with Ken Jee - we talk about careers that combine the love of sports & data analytics. --- Support this podcast: https://anchor.fm/datacated/support

Ken Jee Pet Projects (DATAcated Conference Feb 2021) --- Support this podcast: https://anchor.fm/datacated/support

We'll uncover the world of sports analytics with the Ken Jee, the Head of Data Science at Scouts Consulting Group. We'll learn about how to get into this space, what data sets to start working with, but also takeaways from Ken's vast experiencing of analyzing data in the world of sports.

KNN EP. 01 - This is the first episode of the Ken Jee podcast (Now renamed Ken's Nearest Neighbors)! I talk about who I am, what you can expect from the podcast, and why you'll want to stay tuned for future episodes.So what is this new podcast thing I'm doing? To put simply, this podcast is a more formalized version of  the interviews that I have been doing on my channel for some time now. I wanted to make them easier to listen to on the go and bring you all increasingly exciting and diverse guests. If you aren't familiar, my name is Ken Jee and I am the head of data science at a sports analytics consulting firm. I am probably better known for my youtube channel though. A staple of my career has been learning through examples. I think there is tremendous power in stories, and this podcast was formulated to bring the most interesting stories I could find about data science, sports analytics, productivity and learning philosophy straight to your ears. Hopefully, I will have the opportunity to bring in some of my idols from data science, sports, and maybe even the authors from some of the books that I've read. This first podcast episode is named “who am I?” because I have yet to come up with a name. I thought it would be awesome to have the various communities that I am a part of come up with a fitting title. The winner will get a shout out, 30 minutes of my time for data science advice (or just to chat), and a prize based on their region. Comment below with a name, on the twitter post, or on my community post which I have linked below. Hint: I like puns. I would love for you all to be involved in this endeavor with me! This podcast will be available on all of the main channels, spotify, apple podcats, etc. and will also have its dedicated youtube channel. I will also have a podcast clips channel for if you only want the juiciest of clips and hottest of takes. The first 10 or so episodes will be bulk uploaded at the beginning of November. These are duplicates of the interviews on my youtube channel. From there, it will be a fresh episode every week only available on the platforms I've mentioned before. I highly encourage guest recommendations, topics, and feedback to make this the best platform possible. Again, thank you for tuning in, and I look forward to learning with you on this fun new journey!

In this episode, I sit down with data science expert Ken Jee, a leader in data science that helps pro athletes and teams improve their performance, to discuss the essentials of building quality data science teams and the necessary habits that data scientists should develop for success. Ken also speaks about his 66 Days of Data initiative and what prompted him to re-learn the fundamentals of data science.    SUBSCRIBE – YouTube: https://bit.ly/aiwalexs | Alex's Newsletter: https://www.whyofai.com/newsletter | LEARN – Artificial Intelligence Courses and Certifications at Why of AI: https://www.whyofai.com | Alex's Book: https://www.whyofai.com/ai-book | Alex's Book on Amazon: https://amzn.to/2O54wQU |  SOCIAL – Twitter: https://twitter.com/alexcastrounis | LinkedIn: https://www.linkedin.com/in/alexcastrounis | © Why of AI 2021. All Rights Reserved.Support the show (https://www.buymeacoffee.com/alexcastrounis/)