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Data Science for Beginners
Section 1
The Power of Data (0:26)
Digital Economy Evolution (1:01)
Big Data Explosion (0:42)
V’s of Big Data (0:45)
What is Data Science? (0:18)
Drew Conway’s Venn Diagram (0:57)
Data Analytics vs Data Science (0:14)
Data Scientists: The New Superhero (0:55)
Why Data Science is Huge (0:23)
Section 1 - Checked
Section 2
Success Story #1 (1:28)
Success Story #2 (0:58)
Success Story #3 (1:09)
Data Science in Banking #1 (0:42)
Data Science in Banking #2 (1:21)
Data Science in Banking #3 (4:15)
Data Science in Banking #4 (1:51)
Weak AI vs Strong AI (0:48)
Weak AI (0:25)
Weak AI (Getting Stronger) (1:26)
Weak AI (Even Stronger) (0:44)
AI vs ML vs DL #1 (0:48)
AI vs ML vs DL #2 (0:46)
Section 2 - Checked
Section 3
Becoming a Data Scientist (0:25)
Top Data Science Skills (0:19)
R vs Python (0:55)
R Studio (0:22)
Benefits of Python (0:48)
Python Code in Action! (0:28)
Jupyter (0:26)
SQL (0:28)
SQL Commands (0:54)
Data Scientist’s Workflow (0:46)
Algorithms (1:06)
Label & Features #1 (1:04)
Label & Features #2
From Data to Model (0:50)
Regression vs Classification (0:29)
Section 3 - Checked
Section 4
Implementing Data Science (0:32)
Step 1 - Assemble Your Team (0:38)
Step 2 - Understand the Industry (1:10)
Step 3 - Ask the Right Qs (1:02)
Step 4 - Cloud Service Partners (0:43)
Step 5 - Application & Integration (0:27)
Be Inclusive! (0:22)
Section 4 - Checked (0:11)
Data Scientists: The New Superhero
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