Day1: Introduction to Python 

1. What is Python?
2. Why Python?
3. Installation of Anaconda 
4. Data Types
5. Data Structure 
6. Control Structure 
7. Functions 
8. Summary and Conclusion 
9. Online Test 1 

Day2: Data Science Introduction 

1. Data Scientist, Application of Data Science 
2. Numpy 
3. Array Creation using List, 
4. Arange,  ones,  Zeros 
5. Array Manipulation
6. Array Data Types and Dimension
7. Reshape Array
8. Array Slicing
9. Numpy Matrix Manipulation 
10. Pandas 
11. Series 
12. Dataframe
13. Summary and Conclusion
14. Online Test2 

 Day3:  Data Science Case Study 

1. Reading CSV and Excel File using Pandas 
2. Data Frame Manipulation
3. Matplotlib 
4. Real Time Case Study using 
5. numpy, pandas, marplotlib
6. Descriptive Statistics
7. Informative Statistics
8. Data Cleaning
9. Mean Value
10. Standard deviation
11. Correlation
12. Outlier 
13. Summary and Conclusion 
14. Online Test3

• Free Course Access
• Free Lab Session
• Lifetime LMS Access
• Free Videos