How I Balance Data Science and Content Creation (7 Secrets)

Ken Jee · Beginner ·📰 AI News & Updates ·5y ago
This is the most important video I've made if you struggle with time management. In it I show you the 7 secrets that have allowed me to balance my data science career and YouTube journey. Tools Referenced: The One Thing - https://amzn.to/3c14gMh High Performance Planner - https://amzn.to/3c9MtT4 Exact Notebook I use - https://amzn.to/3c2R49W 8 x 11 whiteboards - https://amzn.to/3c0vrXJ https://calendly.com/ http://frame.io/ Videos Referenced: My podcast - https://www.youtube.com/channel/UCpEJMMRoTIHJ8vG8q_EwqCg #66DaysOfData - https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee Leaderboard Project - https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee My Pillars for success - https://www.youtube.com/watch?v=jf3j0lWmFPU&ab_channel=KenJee 0:00 Intro 0:45 Balance is a Myth 2:35 ELIMINATION 4:54 Hyper-prioritization 8:10 Economies of Scope 9:08 HELP! 10:33 Make it Leisure 11:39 Design Your Life When I first started doing YouTube, each video took me almost 20 hours to make. It was almost impossible for me to make videos, keep up with my data science learning, and do a solid job with my work. Over the last two years I started to crack the code to balancing YouTube, my work, and my leisure time. These are the ultra super secret techniques that I use to stay on top of things. 1) Balance - I personally think that life balance is a myth. Let me clarify. I think balance on a day to day basis is unrealistic. Being able to fit work, leisure, health, family, spirituality, and whatever else matters to you into every single day would really stress me out. On the other hand, over the course of months or years I am certain you can find balance across multiple areas of your life. I find that focusing on long term balance (particularly weekly or monthly), is something that has allowed me to manage my time effectively. 2) Elimination - A lot of people know this as 80/20 or the pareto principle. At the beginning of 2019, I read “The One Thing” and I could p
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1 Predicting Crypto-Currency Price Using RNN lSTM & GRU
Predicting Crypto-Currency Price Using RNN lSTM & GRU
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2 Predicting Season Long NBA Wins Using Multiple Linear Regression
Predicting Season Long NBA Wins Using Multiple Linear Regression
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3 How I Became A Data Scientist From a Business Background
How I Became A Data Scientist From a Business Background
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4 Should You Get A Masters in Data Science?
Should You Get A Masters in Data Science?
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5 How to Simulate NBA Games in Python
How to Simulate NBA Games in Python
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6 Demystifying Data Science Roles
Demystifying Data Science Roles
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7 The Best Way to Predict NBA Minutes Played
The Best Way to Predict NBA Minutes Played
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8 IT'S NOT TOO LATE TO LEARN CODE!
IT'S NOT TOO LATE TO LEARN CODE!
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9 My Top 5 Data Science Resources for 2019
My Top 5 Data Science Resources for 2019
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10 Watch This Before Applying to Data Science Jobs
Watch This Before Applying to Data Science Jobs
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11 Where YOU Should Start With Data Science Projects
Where YOU Should Start With Data Science Projects
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12 Welcome To My Channel | Ken Jee | Data Science
Welcome To My Channel | Ken Jee | Data Science
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13 Why You DON'T Want to be a WFH Data Scientist
Why You DON'T Want to be a WFH Data Scientist
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14 Was Captain Marvel Bad? A Sentiment Analysis of Twitter Data
Was Captain Marvel Bad? A Sentiment Analysis of Twitter Data
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15 Data Science, Machine Learning, and AI: What's the Difference?
Data Science, Machine Learning, and AI: What's the Difference?
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16 Data Science: Startup vs. Large Corporation
Data Science: Startup vs. Large Corporation
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17 Where to Look for Data Science Jobs
Where to Look for Data Science Jobs
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18 Work From Home Data Scientist: Day in the Life
Work From Home Data Scientist: Day in the Life
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19 Scrape Twitter Data in Python with Twitterscraper Module
Scrape Twitter Data in Python with Twitterscraper Module
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20 Should You Learn R for Data Science?
Should You Learn R for Data Science?
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21 NASA Physicist Turned Data Scientist (Tim Bowling) - KNN EP. 02
NASA Physicist Turned Data Scientist (Tim Bowling) - KNN EP. 02
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22 I Wish I Had Known THIS Before Starting in Data Science
I Wish I Had Known THIS Before Starting in Data Science
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23 What I Learned From My Three Degrees
What I Learned From My Three Degrees
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24 Most Data Science Hopefuls Overlook This Important Skill
Most Data Science Hopefuls Overlook This Important Skill
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25 Golf STATS: Strokes Gained Explained
Golf STATS: Strokes Gained Explained
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26 My Top 5 Data Science Internship Tips
My Top 5 Data Science Internship Tips
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27 How I Got My First Data Science Internship (And How You Can Land One)
How I Got My First Data Science Internship (And How You Can Land One)
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28 Data Science: Pros and Cons
Data Science: Pros and Cons
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29 Data Science Fundamentals: Data Exploration in Python (Pandas)
Data Science Fundamentals: Data Exploration in Python (Pandas)
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30 Data Science Fundamentals: Data Manipulation in Python (Pandas)
Data Science Fundamentals: Data Manipulation in Python (Pandas)
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31 What Does a Data Scientist Actually Do?
What Does a Data Scientist Actually Do?
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32 The Projects You Should Do To Get A Data Science Job
The Projects You Should Do To Get A Data Science Job
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33 Take Your Data Science Projects From Good to Great
Take Your Data Science Projects From Good to Great
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34 How To Get Data Science Experience (Without a Job)
How To Get Data Science Experience (Without a Job)
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35 Data Science Fundamentals: Data Cleaning in Python
Data Science Fundamentals: Data Cleaning in Python
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36 Is Data Science Right For You?
Is Data Science Right For You?
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37 Thank You For The Support | What's Next | Ken Jee | Data Science
Thank You For The Support | What's Next | Ken Jee | Data Science
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38 How To Build A Word Cloud From Scraped Data (Python)
How To Build A Word Cloud From Scraped Data (Python)
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39 6 Habits of Successful Data Scientists
6 Habits of Successful Data Scientists
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40 How Far Should the NBA 3-Point Line Actually Be?
How Far Should the NBA 3-Point Line Actually Be?
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41 How to Stay Productive & Motivated When Learning Data Science
How to Stay Productive & Motivated When Learning Data Science
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42 Why is Balance Important in Data Science?
Why is Balance Important in Data Science?
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43 By The Numbers: Where Should The NBA Put a 4 Point Line?
By The Numbers: Where Should The NBA Put a 4 Point Line?
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44 Why Selling Is An Important Data Science Skill
Why Selling Is An Important Data Science Skill
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45 Applying Data Science To My YouTube Data: My Surprising Findings
Applying Data Science To My YouTube Data: My Surprising Findings
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46 9 Ways You Can Make Extra Income as a Data Scientist
9 Ways You Can Make Extra Income as a Data Scientist
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47 Sports Analytics 101: The Pythagorean Theorem of Sports
Sports Analytics 101: The Pythagorean Theorem of Sports
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48 Golf: Would You Rather Be the LONGEST or STRAIGHTEST Driver on the PGA Tour?
Golf: Would You Rather Be the LONGEST or STRAIGHTEST Driver on the PGA Tour?
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49 Data Science Fundamentals: Linear Regression
Data Science Fundamentals: Linear Regression
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50 How YOU Can Land a Sports Analytics Job
How YOU Can Land a Sports Analytics Job
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51 The 5 Stages of Data Science Adoption
The 5 Stages of Data Science Adoption
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52 Math Needed for Mastering Data Science
Math Needed for Mastering Data Science
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53 5 Sports Analytics Books to Get You Started
5 Sports Analytics Books to Get You Started
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54 3 Reasons You Should NOT Become a Data Scientist
3 Reasons You Should NOT Become a Data Scientist
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55 Collision Course: Sports Betting + Data Science
Collision Course: Sports Betting + Data Science
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56 How to Scrape NBA Data Using the nba_api Python Module
How to Scrape NBA Data Using the nba_api Python Module
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57 5 Data Science Resolutions for 2020
5 Data Science Resolutions for 2020
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58 The Data Science Interview: What to Expect
The Data Science Interview: What to Expect
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59 The 9 Books That Changed My Perspective in 2019
The 9 Books That Changed My Perspective in 2019
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60 Questions You Should Ask Your Data Science Interviewers
Questions You Should Ask Your Data Science Interviewers
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Chapters (8)

Intro
0:45 Balance is a Myth
2:35 ELIMINATION
4:54 Hyper-prioritization
8:10 Economies of Scope
9:08 HELP!
10:33 Make it Leisure
11:39 Design Your Life
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