Don't Buy My Course..

Ken Jee · Beginner ·📰 AI News & Updates ·5y ago
In this video I talk about my new course How to Start a Career in Data Science. While I think it is a good product, I don't think that this is for everyone. In the video, I talk about why someone like myself would create a course, who courses may be a good fit for, and who may or may not benefit from my specific offering. Places to gain access to my course, if you think it would be a good fit for you. 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY Just my course: https://www.udemy.com/course/how-to-start-a-career-in-data-science/?referralCode=62D60958ED4D86A09314 Best free courses: https://www.youtube.com/watch?v=Ip50cXvpWY4 Data Science Job Market: https://www.youtube.com/watch?v=l5YNw0fcslg 0:00 Intro 1:08 Why would someone like me make a course? 3:12 What should you consider before buying an online course? 6:07 Why you should NOT buy my course 6:54 Why you SHOULD buy my course Why I created this course: 1) Since I don't do youtube full time, I needed help to produce something that I thought would have the most impact. Partnering with 365 data science gave me access to the video, editing, and administrative resources to make a product that I am proud of. 2) The financial stability of a course is really nice. I would like to continue to produce as much youtube content as possible going forward. Having some financial cushion allows me more freedom to produce here. One day, I hope to have the option to do youtube full time, this was a major step towards achieving this goal. What to consider before purchasing a course: What value do courses provide? They consolidate information and make it easily teachable. Most information from these courses is available for free online already. However, usually it is very disorganized and will take tremendous effort to learn. Courses trim through the noise. You should find a course that matches your learning style. The instructor is also important. If you're going to be investing hou
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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?
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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
Ken Jee
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)
Ken Jee
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)
Ken Jee
30 Data Science Fundamentals: Data Manipulation in Python (Pandas)
Data Science Fundamentals: Data Manipulation in Python (Pandas)
Ken Jee
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
Ken Jee
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
Ken Jee
42 Why is Balance Important in Data Science?
Why is Balance Important in Data Science?
Ken Jee
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?
Ken Jee
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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60 Questions You Should Ask Your Data Science Interviewers
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Chapters (5)

Intro
1:08 Why would someone like me make a course?
3:12 What should you consider before buying an online course?
6:07 Why you should NOT buy my course
6:54 Why you SHOULD buy my course
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