Master Data Analysis with Python – Selecting Subsets of Data
Continue your data analysis journey with Python by mastering the fundamentals of the panda’s library
What you’ll learn
Master Data Analysis with Python – Selecting Subsets of Data
- Best practices from pandas expert Ted Petrou author of Master Data Analysis with Python
- Select subsets of data from DataFrames with just the brackets, loc, and iloc
- Learn how to simultaneously select rows and columns
- Learn how to filter for specific criteria using the boolean selection
- Learn a more intuitive procedure for filtering data with the query method
- Take a challenging Certification Exam to validate your knowledge gained
Requirements
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This is the second course of the Master Data Analysis with Python series. You will need to take Master Data Analysis with Python – Intro to Pandas 2022 first.
Description
Master Data Analysis with Python – Selecting Subsets of Data targets those who want to completely master doing data analysis with pandas. This is the second course in the Master Data Analysis with Python series and provides extremely detailed coverage of how to do any type of subset selection within a pandas DataFrame or Series.
Exercises and a Free Certification Exam
Over 100 exercises with detailed solutions are available for you to practice. Additionally, there is a free challenging certification exam offered for those who want to validate their knowledge gained.
Expert Instructor
This course is taught by expert instructor Ted Petrou, author of the highly-rated textbooks Pandas Cookbook and Master Data Analysis with Python. Ted has taught over 1,000 hours of live in-person data science courses that use the panda’s library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library.
All of the material and exercises are written in Jupyter Notebooks available for you to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place.
Become an Expert
This course targets those who have an interest in becoming experts and completely mastering the panda’s library for data analysis in a professional environment. This course does not cover all of the panda’s library, just a small and fundamental portion of it. If you are looking for a brief introduction to the entire panda library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful in using pandas for data analysis in a professional environment.
The Master Data Analysis with Python Series
Selecting Subsets of Data is second in the Master Data Analysis with Python series which includes the following sequence of courses:
- Intro to Pandas
- Selecting Subsets of Data with Pandas
- Essential Pandas Commands
- Grouping Data with Pandas
- Time Series with Pandas
- Cleaning Data with Pandas
- Joining Data with Pandas
- Data Visualization
- Advanced Pandas
- Exploratory Data Analysis
This course assumes no previous pandas’ experience. The only prerequisite knowledge is to understand the fundamentals of Python.
Who this course is for:
- Those who want to begin a comprehensive path for mastering the panda’s library with best practices to analyze data
- Those who want to test their knowledge gained by taking a challenging certification exam
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