Mastering Data Analysis with Python Pandas

Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

Beginner

56 Lessons

2h 25min

Certificate of Completion

Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

105 Playgrounds

9 Challenges

10 Quizzes

This course includes

105 Playgrounds

9 Challenges

10 Quizzes

Course Overview

There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and efficiently.

What You'll Learn

Hands-on experience with Python Pandas

Learn about data analysis and manipulation functions of Python Pandas

What You'll Learn

Hands-on experience with Python Pandas

Course Content

Course Introduction

Get familiar with mastering data analysis using Python Pandas for data cleaning and insights.

Why Should You Take This Course?

What Will You Achieve by Completing This Course?

Pandas Data Structures

Walk through Pandas Series and DataFrame to efficiently manage and analyze data.

Pandas Series Pandas DataFrame

Creating a Data Frame

Go hands-on with creating and reading DataFrames from files and various data structures in Pandas.

Reading Data from a File Create a DataFrame

Exploring a Data Frame

Grasp the fundamentals of analyzing a DataFrame's size, data types, values, and central tendency.

Size of a DataFrame Data Types of Columns Different Values in a Column Measures of Central Tendency Challenge: Find the Most Frequent Values in a Column Quiz Yourself: Exploring a DataFrame

Filtering a Data Frame

Map out the steps for effective DataFrame filtering using various methods and techniques.

Why Do We Need Filtering?

Filtering with "loc" and "iloc" Methods Filtering by Selecting a Subset of Columns Filtering by Condition Filtering Rows with the Query Function Challenge: Filter Out the Values Below Average Quiz Yourself: Filtering a DataFrame

String Manipulation with Pandas

8 Lessons

Follow the process of mastering string manipulation techniques in Pandas, enhancing data analysis skills.

Date Manipulation with Pandas

6 Lessons

Master the steps to manipulate and extract date and time information using Pandas.

Handling Missing Values with Pandas

6 Lessons

Learn how to use Pandas functions to effectively handle missing values in data.

Data Analysis with Pandas

8 Lessons

Get started with advanced data analysis in Pandas using groupby, pivot tables, cut, and where functions.

10.

Data Visualization with Pandas

4 Lessons

Work your way through visualizing data distributions, trends, and relationships using Pandas plots.

11.

Combining DataFrames with Pandas

3 Lessons

Grasp the fundamentals of combining DataFrames using concat and merge functions in Pandas.

Data Visualization with Seaborn for Walmart Sales Projection

Project

12.

Final Challenge and Quiz

2 Lessons

Solve problems in analyzing sales data, handling missing values, and computing average sales.

Course Author

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