Master Data Analysis with Python - Selecting Subsets of Data

Rating 4.69 out of 5 (76 ratings in Udemy)

What you'll learn

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 boolean selection
Learn a more intuitive procedure for filtering data with the query method
Take a challenging Certification Exam to validate your knowledge gained …

Rating 4.69 out of 5 (76 ratings in Udemy)

What you'll learn

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 boolean selection
Learn a more intuitive procedure for filtering data with the query method
Take a challenging Certification Exam to validate your knowledge gained

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 MasterData 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 text books 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 pandas 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 pandas library for data analysis in a professional environment. This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis in a professional environment.

The Master Data Analysis with PythonSeries

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.

Duration 2 Hours 58 Minutes

Paid

Self paced

Beginner Level

English (US)

7341

Rating 4.69 out of 5 (76 ratings in Udemy)

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