5.0
Intermediate
16h
Updated 5 months ago
Advanced pandas—Going Beyond the Basics
Explore advanced pandas techniques for reshaping, manipulating, and handling data. Use unique features and extended libraries to optimize workflows and improve data analysis efficiency.
Pandas is an easy-to-use and performant Python library for data manipulation and analysis. It is an important toolkit in a world where the volume of data created and captured is growing exponentially.
In this course, you’ll discover an in-depth exploration of the pandas library. The course covers advanced techniques to reshape data, manipulate data, and handle various data types. You will also learn how to use less conventional pandas features to streamline workflows, while also leveraging extended pandas libraries for enhanced data analysis.
Whether you are an aspiring data scientist, a researcher, or a seasoned professional looking to sharpen your skills, this course is your pathway to becoming proficient in using pandas to analyze and manipulate data effectively and efficiently.
Pandas is an easy-to-use and performant Python library for data manipulation and analysis. It is an important toolkit in a world...Show More
WHAT YOU'LL LEARN
Understanding of pandas’ extensive capabilities in reading data from different sources
Working knowledge of how to effectively handle different types of data in pandas
Hands-on experience using data reshaping and manipulation techniques in pandas
Ability to leverage extended pandas libraries for advanced capabilities in handling and analyzing data
Familiarity with less conventional yet useful features of pandas
Knowledge of efficiency boosting techniques
Understanding of pandas’ extensive capabilities in reading data from different sources
Show more
TAKEAWAY SKILLS
Content
1.
Before We Begin
1 Lessons
Get familiar with advanced pandas for data manipulation, transformation, and visualization skills.
2.
Reading Data into pandas
8 Lessons
Get started with reading diverse data formats into pandas for efficient analysis.
3.
Combining Data
7 Lessons
Examine methods for combining and merging pandas DataFrames to enhance data manipulation.
4.
Reshaping and Manipulating Data
13 Lessons
Enhance your skills in reshaping and manipulating data for effective analysis in pandas.
5.
Encoding Data Types
2 Lessons
Take a closer look at inspecting, converting, and encoding data types in pandas.
6.
Handling Numerical Data
10 Lessons
Focus on advanced arithmetic, comparison, filtering, and statistical methods using pandas.
7.
Handling Categorical Data
6 Lessons
Master handling and transforming categorical data for efficient and meaningful analysis using pandas.
8.
Handling Text Data
7 Lessons
Learn how to use pandas methods for transforming and managing complex text data efficiently.
9.
Handling Time Series Data
17 Lessons
Unpack the core of advanced pandas techniques for time series analysis, manipulation, and resampling.
10.
Handling Sparse Data Structures
2 Lessons
Break apart the techniques for handling and optimizing sparse data structures using pandas.
11.
Handling Missing Data
4 Lessons
Grasp the fundamentals of representing, detecting, and managing missing data in pandas.
12.
Leveraging Further Features of pandas
6 Lessons
Solve problems in advanced pandas features like function chaining, assertions, styling, settings, and efficiency.
13.
Utilizing Extended Libraries
5 Lessons
Follow the process of leveraging advanced libraries to enhance data analysis with pandas.
14.
Wrap Up
1 Lessons
Build on essential pandas skills for advanced data handling and real-world applications.
15.
Appendix
5 Lessons
Learn how to use setups, prerequisites, and updates for advanced pandas functionalities.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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