Data Science with Python

• Python is a popular choice for data science due to its simplicity, readability, and ease of use. It has a wide range of libraries and frameworks that make it easy to perform data analysis, visualization, and machine learning tasks.
• Some of the popular libraries and frameworks for data science in Python are Numpy, Pandas, Matplotlib.
   

Learn more about Python in following chapters

1. Lesson 1 - Introduction To Python , Python Data Types
 

2. Lesson 2 - Control Structures in Python
 

3. Lesson 3 - NumPy

 

3.1 Numpy Arrays
 

3.2 Numpy Indexing and Selection 


3.3 Numpy Operations

 

4. Lesson 4 - Pandas 

 

                  4.1 Series in Pandas

 

                  4.2  Data Frames in Pandas

 

                  4.3 Handling Missing Data with Pandas

 

                  4.4 Operations in Pandas 

 

5. Lesson 5 - Exploratory Data Analysis with Python

 

6. Lesson 6 - Matplotlib

 

6.1 Data Visualization with Matplotlib  - I

 

6.2 Data Visualization with Matplotlib  - II

 

7. Lesson 7 - Machine learning with Scikit Learn

 

8. Lesson 8 - Linear Regression in Python

 

9. Lesson 9 -  Logistic Regression in Python

 

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