Data Science is a wonderful technology that has applications in almost every field. Let's learn the basics of this domain on 16th March at (time). Agenda 1. What is Data Science? How is it different from ML, DL, and AI 2. Why is this skill in demand? 3. What are some popular applications of Data Science 4. Popular tools and frameworks used in Data Science

1. Nandhitha Ravishankar
Technical Team Member
Introduction to Data Science
Kartthikeyan N
Technical and Non-Technical
Team Member

2. What is Data Science
Data
Analysing
Manipulating

3. How is it different from ML, DL, and AI
Artificial Intelligence
Machine Learning
Deep Learning

4. Artificial Intelligence
Application
What is AI?
Tools

5. Machine Learning
What is ML?
Application
Tools

6. Deep Learning
What is DL?
Application
Tools

7. Why is this skill in demand?

8. Data Scientist
Statistics
Programming
Math SQL
Python
R

9. Data Engineer
Statistics
Programming
Big Data SQL
Python
R

10. Business Knowledge
Communication
skills
SQL
Python
R
Data Analyst

11. QUIZ TIME

12. What are some popular applications of Data
Science

13. Security
Cyber Attacks
- Problem of hackers
- “How” of the cyber
attack
Change and growth of big
data

14. Sports
Predictive analysis
- Player Analysis
- Team Analysis
- Fans Management

15. Finance
Risk Analytics
- For strategic decision
making

16. Popular tools and frameworks used in Data
Science

17. Libraries

18. Tools

19. Thank You!
Shoot your questions.