This course covers the basics of data science, helping learners determine if data science is the right path for them. It explains the roles in data science, the necessary math and programming skills, and offers strategies to stay motivated. The course also provides insights into starting data science projects, building a portfolio, and breaking into the field. The intended audience includes beginners interested in data science and looking to kickstart their journey in the field.
Overview
Syllabus
Is Data Science Right For You?.
What Does a Data Scientist Actually Do?.
Where to Start Learning Data Science.
Data Science Explained with ... Cooking?.
Why You're Struggling to Learn Data Science.
How I Learned Data Science.
How I Would Learn Data Science (If I Had to Start Over).
Different Data Science Roles Explained (by a Data Scientist).
The Best Computer for Data Science Beginners.
How to ULTRALEARN Data Science.
Why Right NOW is a Great Time to Learn Data Science.
The Secret Data Scientists Don't Want You to Know.
The 5 Stages of Learning Data Science.
The Best Free Data Science Courses Nobody is Talking About.
3 Proven Data Science Projects for Beginners (Kaggle).
How To Learn Programming for Data Science [3 Steps].
Math Needed for Mastering Data Science.
How to Stay Productive & Motivated When Learning Data Science.
How To Get Data Science Experience (Without a Job).
Where YOU Should Start With Data Science Projects.
Uber Driver to Machine Learning Engineer in 9 Months! (@Daniel Bourke) - KNN EP. 05.
Beginner Kaggle Data Science Project Walk-Through (Titanic).
Why I'm Starting Data Science Over Again..
How I Learn Data Science Through Studying Other People's Code | #66DaysOfData.
5 Essential Data Science Projects for Your Portfolio.
5 Proven Strategies to Break into a Data Science Job.
git for Data Science Made Simple... (Hopefully).
How I Chose My Masters Degree for Breaking into Data Science.
Find a Data Science Project With These 3 Techniques.
6 Lessons from #66DaysOfData.
7 Things to Look For in a Masters For Data Science (feat. @Tina Huang).
How I Would Learn Data Science in 2021 (What Has Changed?).
What is the #66DaysOfData?.
The 7 Biggest Data Science Beginner Mistakes.
What is Pandas? (Data & Data Science) #shorts.
Why Kaggle Should Be Your Favorite Data Science Resource #shorts.
What is a lambda function (python)? #shorts.
How Data Science Projects Pay Off.
Discouraged with Data Science? - Watch THIS video..
A Quick Data Science Project Tip! #SHORTS.
Kaggle vs Github - Which is Best for Your Data Science Portfolio?.
Why are APIs Important for Data Science?.
Is Data Visualization Important for Data Science? (A Data Scientist's Perspective).
Roasting My First Data Science Project (Common Project Mistakes).
Business Skills for Data Science: What are they REALLY?.
Is Data Science Dying?.
How I Would Learn Data Science in 2022 (If I Had to Start Over).
What Professional Data Scientists ACTUALLY Do.
Taught by
Ken Jee
