How to Start Data Science & Analytics Projects - Part 1

Hey friends, this video kicks off a new series on how to start data science and analytics projects to increase your chances of success and high ROI. This video covers how to define your objective and develop your hypotheses. Please like and subscribe if you'd like to see more videos like this, and let me know in the comments if you found this video helpful!
Chapters:
00:00 Introduction
00:42 Example Business Challenges
01:26 Use a Hypothesis Structure
02:47 Is it Actionable
04:37 Example - Customer Satisfaction
05:02 Example Actions
You can watch the full 6-part series in this playlist: • Driving Success for An...
You can also watch specific videos in this video series:
- Overview Project Roadmaps: • How to Build Project R...
- Part 1 - Start Data Science Projects - • How to Start Data Scie...
- Part 2 - Choose Data - • Choose the Best Data F...
- Part 3 - Choose Models - • How to Select The Best...
- Part 4 - Build Mock-Ups - • How to Build Mock-Ups ...
- Part 5 - Measure ROI - • How to Measure Analyti...
- Part 6 - Manage Timelines - • How to Manage Timeline...
How to learn more -- you can download my FREE cheat sheet to help you build analytics and data science project roadmaps today: www.sharingwhatiknow.com/free...
You can also connect with me on my blog where I talk about career, analytics, data science, and tech. www.sharingwhatiknow.com/