Pandas Online Course

Pandas Online Course

This course will show you how you can get the most out of Pandas for data analysis. The course starts with teaching you the absolute basics such as installing and setting up of the pandas library. Then, you will be introduced to fundamental data structures in pandas and the different data types, indexing, and more. You will then implement the basic functionalities of the pandas library such as working with different kinds of data, indexing, and handling missing data. 

The course will also teach you how to analyze and model your data, and organize the results of your analysis in the form of plots or other visualization means. Throughout the course, you will implement simple yet highly effective examples and use-cases which are relevant in the real-world scenario, as you build on your understanding of pandas. By the end of this course, you will have a firm understanding of the basics of pandas. You will be ready to start using pandas for different data science tasks with confidence.

Course Curriculum

Initial Configuration and Getting Data into Pandas

• The Course Overview
• Installing and Setting Up Python
• Installing Pandas and Other Dependent Python Modules
• Setting Up and Using Jupyter Notebooks
• Importing Data (CSV) into Pandas

Exploring and Analyzing Data

• Exploring the Imported Dataset
• Manipulating and Reshaping the Dataset
• Handling Missing Data in Pandas
• Analyzing the Imported Dataset

Visualizing Data Using Matplotlib

• Using Pandas and Matplotlib to Draw Plots and Charts
• Drawing Bar Charts
• Making Histograms
• Drawing Box Plots
• Drawing Some Other Kinds of Plots with Matplotlib

Exporting Data Out of Pandas

• Exporting Transformed and Processed Data Out of Pandas
• Exporting to Some Popular File Formats
• Exporting to SQL-Based Databases