Module 1: Introduction to Pandas
In this tutorial, I have explained all about the basics of Pandas. This tutorial contains 4 videos, and I covered topics like the installation of the Pandas dataset for data analysis, etc.
Lesson 1: Pandas Introduction
The topics that are covered in this Pandas tutorial are:
- Introduction to Pandas
- Features of Pandas
related tutorial:
Lesson 2: Install Pandas in Python Using pip
In this Pandas tutorial, I explained how to install Pandas in Python using pip.
Lesson 3: Install Pandas in Python Using Conda
In this Pandas tutorial, I explained how to install Pandas in Python using Conda.
Lesson 4: Top Datasets You Need for Data Analysis Projects
In this Pandas tutorial, I explained the top datasets that are helpful in data analysis.
Related tutorial:
Module 2: Basics of Pandas
In this tutorial, I have explained all about the basics of Pandas. This tutorial contains 3 videos such as importing, exporting CSV, series and dataframes, etc.
Lesson 1: What are Series and DataFrame in Pandas
In this Pandas tutorial, I explained all about the series and DataFrame in Pandas.
Lesson 2: Data Import and Export with Pandas
The topics that are covered in this Pandas tutorial are:
- Read the dataset from CSV
- Read the dataset from Excel
- Read the dataset from the URL
- Export DataFrame to CSV
- Export DataFrame to Excel
Lesson 3: Learn Head() and Tail() in Pandas
The topics that are covered in this Pandas tutorial are:
- Display the head of the data
- Display the tail of the data
Related tutorials:
Module 3: Operation in Pandas
In this tutorial, I have explained all about the operations in Pandas. This tutorial contains 8 videos, such as selecting, viewing data, creating, deleting, and merging data, etc.
Lesson 1: Selecting, Viewing, and Describing Data in Pandas
In this tutorial, I will explain how to select, view, and describe data in Pandas.
Lesson 2: DataFrame Slicing in Pandas with loc and iloc
The topics that are covered in this Pandas tutorial are:
- Ioc() in Pandas
- iloc() in Pandas
Lesson 3: Create and Delete Rows & Columns in Pandas
The topics that are covered in this Pandas tutorial are:
- Create columns
- Delete columns
- Merge columns
- Join column
- Concatenation
Related tutorials:
- Add Rows To A DataFrame Pandas In a Loop
- Drop Rows in Python Pandas DataFrames
- Drop the Header Row of Pandas DataFrame
Lesson 4: Combine DataFrames Using Merge and Concat in Pandas
In this Pandas tutorial, I will explain how to combine DataFrames using merge and concat in Pandas.
Related tutorials:
Lesson 5: How to Handle Missing Data in Pandas
The topics that are covered in this Pandas tutorial are:
- How does missing data appear
- Finds total missing values
- Find the total sum of missing values
- Percentage of missing values
- Drop missing values
- Fill in missing values
Lesson 6: Data Manipulation with Groupby and Crosstab in Pandas
The topics that I covered in this Pandas tutorial are data manipulation using Groupby and Crosstab.
Related tutorials:
Lesson 7: Date and Time Handling in Pandas
The topics that are covered in this Pandas tutorial are:
- date_range() function
- start and end date
- periods
- freq
- timezone
Related tutorials:
Lesson 8: DataFrame Operations and Visualization in Pandas
The topics that are covered in this Pandas tutorial are:
- Visualization in pandas
- Installation of matplotlib
- Visualizing operation
Module 4: Project on Data Analysis using Python
In this tutorial, I have explained a project called the Google Play Store App.
Lesson 1: Google Play Store App
Let us learn how to make a simple project of the Google Play Store App in this tutorial.
