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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.
4.7
56 Lessons
2h 25min
Updated 5 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Hands-on experience with Python Pandas
- Learn about data analysis and manipulation functions of Python Pandas
Learning Roadmap
1.
Course Introduction
Course Introduction
Get familiar with mastering data analysis using Python Pandas for data cleaning and insights.
2.
Pandas Data Structures
Pandas Data Structures
Walk through Pandas Series and DataFrame to efficiently manage and analyze data.
3.
Creating a Data Frame
Creating a Data Frame
2 Lessons
2 Lessons
Go hands-on with creating and reading DataFrames from files and various data structures in Pandas.
4.
Exploring a Data Frame
Exploring a Data Frame
6 Lessons
6 Lessons
Grasp the fundamentals of analyzing a DataFrame's size, data types, values, and central tendency.
5.
Filtering a Data Frame
Filtering a Data Frame
7 Lessons
7 Lessons
Map out the steps for effective DataFrame filtering using various methods and techniques.
6.
String Manipulation with Pandas
String Manipulation with Pandas
8 Lessons
8 Lessons
Follow the process of mastering string manipulation techniques in Pandas, enhancing data analysis skills.
7.
Date Manipulation with Pandas
Date Manipulation with Pandas
6 Lessons
6 Lessons
Master the steps to manipulate and extract date and time information using Pandas.
8.
Handling Missing Values with Pandas
Handling Missing Values with Pandas
6 Lessons
6 Lessons
Learn how to use Pandas functions to effectively handle missing values in data.
9.
Data Analysis with Pandas
Data Analysis with Pandas
8 Lessons
8 Lessons
Get started with advanced data analysis in Pandas using groupby, pivot tables, cut, and where functions.
10.
Data Visualization with Pandas
Data Visualization with Pandas
4 Lessons
4 Lessons
Work your way through visualizing data distributions, trends, and relationships using Pandas plots.
11.
Combining DataFrames with Pandas
Combining DataFrames with Pandas
3 Lessons
3 Lessons
Grasp the fundamentals of combining DataFrames using concat and merge functions in Pandas.
12.
Final Challenge and Quiz
Final Challenge and Quiz
2 Lessons
2 Lessons
Solve problems in analyzing sales data, handling missing values, and computing average sales.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR
Soner Yildirim
I'm an electrical engineer by education and a data scientist by passion. My courses: https://www.educative.io/courses/mastering-data-analysis-python-pandas
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