Data Analytics with Pandas

1. DataFrame Operations

   1. Basic Terminologies

   2. Indexing

   3. Filtering

   4. Sorting

   5. Slicing

2. Data Transformations

   1. Dropping rows / columns

   2. Continuous Data

   3. Categorical Data

   4. Grouping and Transforming

   5. Imputing values

3. Data Analysis

1. 1. Univariate Analysis

   2. Bivariate Analysis

   3. Datetime Analysis

4. Data Visualisations

1. Using Matplotlib

2. Seaborn plots

3. Categorical Plots

4. Continuous Plots

5. Data Sources Integrations

1. Database

2. Excel files

3. JSON files