Whether you want to learn data science for leisure, to become a data scientist or to make sense of data, this video is for you. I will be sharing my best tips on how you can get started in learning data science. I have researched and distilled the essential best practices of what you can do to jump start your journey of learning data science.

⭕ Timeline
Introduction (0:00​)
The Art of Learning Data Science is comprised of 4 steps: Plan, Learn, Build and Explain. (3:33​)
👉Step 1 - Plan (4:14​)

• Set learning goals (4:24​)
• Create your own personal data science curriculum (5:57​)
• Making a schedule (20:00​)
• Consistency (20:30​)
• Accountability (21:14​)
  👉Step 2 - Learn (22:09​)
• Learning resources (22:20​)
• Learn just enough to start building (25:17​)
• Apply Pomodoro to manage learning time (27:56​)
• Minimize stuck time (get stuck? move on and come back to it later) (28:23​)
  👉Step 3 - Building (29:29​)
• Work on work-related projects (29:42​)
• Work on weekend projects (30:09​)
• Use public datasets or compile your own (e.g. web scraping) (30:29​)
• Compete on Kaggle (30:35​)
  👉 Step 4 - Explain (30:47​)
• Explain your model to others (31:26​)
• Teach others (Feynman technique) (31:35​)
• Mentor others (31:40​)
• Write blog posts (31:46​)
• Build well documented GitHub repository (31:50​)
• Make YouTube videos (31:55​)
• Give talks at meetups, conferences and podcasts (31:57​)
• Draw infographics (32:16​)

Subscribe: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q

#big-data #data-science