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11:02
The Programming Roadmap For Data Science
How would I learn to code if I had to start over? In this video, I show you the exact same learning plan that I designed for my friend who is just starting out. We discuss, which programming language to start with (python), what IDE to use, basic programming concepts, and my three best tips for any beginner programmer to remember. 0:00 Intro 0:57 What Language? 2:10 Where to Start? 4:20 The 7 Coding Basics 7:50 Project Based Learning 8:41 Specifics for the Data Track 10:01 Most Important Tips for New Coders Coding / Data Science Resources: @freecodecamp : https://www.youtube.com/watch?v=rfscVS0vtbw&ab_channel=freeCodeCamp.org Python Tutorial: https://docs.python.org/3/tutorial/ https://www.python.org/about/gettingstarted/ ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY Beginner Kaggle Workbook: https://www.youtube.com/watch?v=I3FBJdiExcg&ab_channel=KenJee Other how to learn coding videos: @TinaHuang1's original how I would learn to code video: https://www.youtube.com/watch?v=MHPGeQD8TvI&ab_channel=TinaHuang @namanhkapur's rendition: https://www.youtube.com/watch?v=k9WqpQp8VSU&ab_channel=NamanhKapur @fknight's version: https://www.youtube.com/watch?v=EPylVlpKpZA&ab_channel=ForrestKnight Graphs and commentary source data: Stack overflow survey: https://survey.stackoverflow.co/2022/#professional-developers Kaggle python vs R usage: https://www.kaggle.com/code/datafan07/what-takes-to-be-a-data-scientist-story-of-robert Kaggle python vs R usage over time: https://www.kaggle.com/code/hasanbasriakcay/what-has-changed-in-data-science @jomakaze's word ide video: https://www.youtube.com/watch?v=X34ZmkeZDos&ab_channel=JomaTech #datascience #KenJee #code #programming โญ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 ๐ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast ๐ธ Check out My Website - https://kennethjee.com/ โ๏ธSign up for My Newsletter - https://www.kennethjee.com/newsletter ๐ Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY ๐ Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: ๐คMy Twitter - https://twitter.com/KenJee_DS ๐ LinkedIn - https://www.linkedin.com/in/kenjee/ ๐ Kaggle - https://www.kaggle.com/kenjee ๐ Medium Articles - https://medium.com/@kenneth.b.jee ๐ป Github - https://github.com/PlayingNumbers ๐ My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
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07:51
What is the #66DaysOfData?
In this video I tell you everything you need to know about the #66DaysOfData Challenge I will be starting up again on January 4th! The #66DaysOfData challenge is designed to help you create great data science learning habits. Along with the habits you will be joining an incredible community where you can learn alongside and work with other likeminded people! The challenge is simple, it only has two parts. 1) Learn data science every day for 66 days straight. You should learn for a minimum of 5 minutes per day. 2) Share your progress on your social media platform of choice using #66DaysOfData. This has 3 main benefits: 1) You create a habit of daily learning which is integral to your success in the data science and machine learning career paths. 2) You get used to sharing your work, something that can help you to create many opportunities for yourself. 3) The community holds you accountable. This is often the missing piece for many people looking to learn these skills. Learning Resources: https://www.kaggle.com/ 365 Data Science (57% off one year): https://365datascience.pxf.io/P0jbBY (Disclaimer - Affiliate Links), If the discount doesn't work use promo code "knn" https://www.nvidia.com/en-us/deep-learning-ai/education/ Community Resources: Medium Writeup: https://towardsdatascience.com/why-im-starting-data-science-over-21bec8036ce9 Original Video: https://www.youtube.com/watch?v=uXLnbdHMf8w&ab_channel=KenJee Discord Server: https://discord.gg/4p37sy5muZ Notion Template (Via Ashley): https://www.notion.so/66DaysOfData-86145f47abde44e6ac30dbf484f3734c Github: https://github.com/66daysofdata/Resources Thinam's Journey: https://github.com/ThinamXx/66Days__NaturalLanguageProcessing/blob/master/README.md @TinaHuang1's channel - https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww @AndrewMoMoney's channel! - https://www.youtube.com/channel/UC23emuGbNM7twofQIrEgPBQ 0:00 Intro 0:40 What is the #66DaysOfData 1:20 How It's Going 1:45 Benefits of 66Days 2:50 Resources Available 4:10 Community Contributions 4:35 What Will I Be Doing? 5:15 FAQ How do I start? 6:00 Why 66 Days? 6:22 How to get involved? 6:37 Why 5 minutes? 7:28 When does it start? #DataScience #KenJee #SportsAnalytics โญ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 ๐ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast ๐ธ Check out My Website - https://kennethjee.com/ โ๏ธSign up for My Newsletter - https://www.kennethjee.com/newsletter ๐ Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY ๐ Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: ๐คMy Twitter - https://twitter.com/KenJee_DS ๐ LinkedIn - https://www.linkedin.com/in/kenjee/ ๐ Kaggle - https://www.kaggle.com/kenjee ๐ Medium Articles - https://medium.com/@kenneth.b.jee ๐ป Github - https://github.com/PlayingNumbers ๐ My Sports Blog -https://www.playingnumbers.com My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
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12:14
How I Would Learn Data Science in 2022 (If I Had to Start Over)
Every year, I like to refresh my advice about how I would go about learning data science from ground zero. The data domain is changing rapidly, and as my own knowledge grows, I think it is important to re-evaluate the approach that I would recommend. Resources for Learning Data science (Paid) 365 Data Science ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY (Free) https://kaggle.com/ (Free) https://www.freecodecamp.org/ Resources for Learning Programming (Paid) 365 Data Science ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY (Free) https://www.learnpython.org/ (Free) https://www.python.org/about/gettingstarted/ Pandas Documentation: https://pandas.pydata.org/docs/ Ken's Project Playlist: https://www.youtube.com/watch?v=sq5TnVJWv6A&list=PL2zq7klxX5ASt4dLSAd2FMoY3Og3V0jZv&ab_channel=KenJee #66DaysOfData: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee 0:00 Intro 0:42 Is it Possible to Learn Data Science? 1:33 Where to Start Learning 2:33 How to Create a Learning Map 3:55 What Would My Learning Plan Look Like? 5:28 Before You Start with Projects... 7:05 Statistics??? 7:45 Project Obsession 9:00 How to Leverage Projects Effectively 10:14 How Long Will This Take? 10:48 An Important Note on Goals Starting off, I want to debunk the idea that you can โlearn data scienceโ. This implies that data science is a static subject that can be learned in its entirety. For better or for worse, data science is constantly evolving and growing. I donโt know a single person including myself, that could possibly know the whole field. Learning data science is a journey not a destination, and coming in with this mindset can make this process far more enjoyable for you. First, I would start with a learning map. You need to plan your learning journey. Next, I would start learning python. You need to understand the basics here. After that, I highly recommend looking at other peoples projects and work. Finally, focus on data science projects to engrain new topics! #DataScience #KenJee โญ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 ๐ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast ๐ธ Check out My Website - https://kennethjee.com/ โ๏ธSign up for My Newsletter - https://www.kennethjee.com/newsletter ๐ Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY ๐ Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: ๐คMy Twitter - https://twitter.com/KenJee_DS ๐ LinkedIn - https://www.linkedin.com/in/kenjee/ ๐ Kaggle - https://www.kaggle.com/kenjee ๐ Medium Articles - https://medium.com/@kenneth.b.jee ๐ป Github - https://github.com/PlayingNumbers ๐ My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
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16:43
How I Learned to Learn.
In this video I take you through my meta-learning journey. Meta-learning is the study of learning how to learn. I made many mistakes, and stumbles along the way, but I'm so grateful for the experiences that lead me to where I am today. I also have a long road of learning ahead of me! Udemy Courses From Me & My Friends! (Affiliate Links) My Course: https://www.udemy.com/course/how-to-start-a-career-in-data-science/?couponCode=B494DE89644576BEBD46 @TinaHuang1's Course: https://click.linksynergy.com/deeplink?id=OXAy7KE1wsg&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fsql-for-tech-and-data-science-interviews%2F 365 DS course: https://click.linksynergy.com/deeplink?id=OXAy7KE1wsg&mid=39197&murl=https%3A%2F%2Fwww.udemy.com%2Fcourse%2Fthe-data-science-course-complete-data-science-bootcamp%2F Official Udemy Page for the #66DaysOfData: https://click.linksynergy.com/fs-bin/click?id=OXAy7KE1wsg&offerid=624447.17226&type=3&subid=0 Lesson 1 - Don't evaluate your performance against others. Often we compare results even though the inputs are wildly different. You may think you're bad at something even though the people you are comparing yourself have practiced 5x more. Everyone starts as a beginner on this journey. Lesson 2 - Develop a growth mindset. One of the most important steps of learning to learn is realizing you are capable of growth. Proving to yourself that you can get better over time is immeasurably powerful. Lesson 3 - Find your motivation through purpose (or something close to it). Purpose can be hard to find, it takes tremendous introspection to cultivate this calling. Still, once you find yourself there, you will have all the motivation you need to reach your goals. Lesson 4 - Change your identity. In order to make true change, you have to become the change you want to embody. Talk to yourself like you're someone who is capable and you will become capable. Lesson 5 - Find Flow. There are certain criteria that can be met to achieve deep focus. Understand how you focus and unleash your new found superpower onto the world. Lesson 6 - Develop the learning skillset. Reading, organizing information, etc. are needed to learn at a high level. Understand the science of learning to unlock this potential. Lesson 7 - Develop consistency through habits. We can take off the burden if we have good habits. Habits give structure to our lives and allow us to organize information. They also can make difficult tasks seemingly effortless. Lesson 8 - Do Projects. 0:00 Intro 0:53 Lesson 1 2:18 Lesson 2 3:56 Lesson 3 6:22 Lesson 4 8:05 Lesson 5 10:30 Lesson 6 12:48 Lesson 7 12:14 Lesson 8 #KenJee #MetaLearning โญ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 ๐ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast ๐ธ Check out My Website - https://kennethjee.com/ โ๏ธSign up for My Newsletter - https://www.kennethjee.com/newsletter ๐ Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY ๐ Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: ๐คMy Twitter - https://twitter.com/KenJee_DS ๐ LinkedIn - https://www.linkedin.com/in/kenjee/ ๐ Kaggle - https://www.kaggle.com/kenjee ๐ Medium Articles - https://medium.com/@kenneth.b.jee ๐ป Github - https://github.com/PlayingNumbers ๐ My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
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00:53
#66DaysOfData - 3 Reasons to Start!
What is the #66DaysOfData? First, you need to study data science 66 days straight for at least 5 minutes per day. Second, you need to share what you learned each day on your favorite social platform! Full #66DaysOfData Overview - https://www.youtube.com/watch?v=qV_AlRwhI3I #66DaysOfData Discord Server - https://discord.gg/BRv6YGb Ok, 3 reasons you should start. 1) You will develop a daily habit of learning 2) You will be a part of a great community that will hold you accountable which offers a great and free place to ask questions 3) You will create a track record by logging your work and sharing it with the community #DataScience #KenJee โญ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 ๐ Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast ๐ธ Check out My Website - https://kennethjee.com/ โ๏ธSign up for My Newsletter - https://www.kennethjee.com/newsletter ๐ Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates ๐ 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY ๐ Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: ๐คMy Twitter - https://twitter.com/KenJee_DS ๐ LinkedIn - https://www.linkedin.com/in/kenjee/ ๐ Kaggle - https://www.kaggle.com/kenjee ๐ Medium Articles - https://medium.com/@kenneth.b.jee ๐ป Github - https://github.com/PlayingNumbers ๐ My Sports Blog -https://www.playingnumbers.com Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
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