BPB E Learning

1. Course Overview

2. Setting up the environment

3. How to access the resources

1. Variables in Python

2. Data types and type conversion

1. Create numpy array

2. Sort, Add and Remove elements

3. Multi Dimention Array

4. Access elements of an Array

5. Mathemetical Operations on an Array

1. Introduction to List

2. Access and Modify List

3. Operations on a List

4. Introduction to Dictionary

5. Operations on Dictionary

6. Dictionary of Dictionaries

1. Introduction to Pandas - Creating the first Dataframe

2. Create dataframe from csv

3. Creating dataframe from excel (xlsx)

4. Creating dataframe from text file

1. Using loc

2. Using iloc

3. Modify and filter rows using loc

1. Concat dataframes along rows

2. Concat dataframes along columns

3. Append

4. Introduction to Joins

5. Joins using Pandas

6. Interview Question 90% candidates get this wrong

1. Aggregation Part 1

2. Aggregation Part 2

3. Rank function

1. Getting Started

2. Weight Loss per Day

3. Age of people

1. Pivot Table - Part 1

2. Pivot Table - Part 2

3. Stack Unstack - Part 1

4. Stack Unstack Part 2

5. Melt

1. Loops in Python

2. Range Function

3. Iterating over Pandas Dataframe - Method 1

4. Iterating 50x faster over Pandas Dataframe - Method 2

5. Iterating 100x faster over Pandas Dataframe - Method 3

1. Using def

1. Using def

2. Lambda and Apply

1. String Datatypes

2. String cases

3. Remove extra space

4. Replace and Split a string

1. Pandas Assignment

2. Solution to the Assignment

1. Line Chart

2. Scatter plot

3. Bar chart

4. Histogram - Part 1

5. Histogram - Part 2

6. Adding axis labels and titles

7. Scaling axis

9. Color of the countries

8. Size of the countries

10. Text and grids