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This plan includes
- Instant access to 11,000+ online courses
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HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
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This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
- HD Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
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
Course Overview
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 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 Python Series
Selecting Subsets of Data is second in the Master Data Analysis with Python series which includes the following sequence of courses:
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Intro to Pandas
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Selecting Subsets of Data with Pandas
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Essential Pandas Commands
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Grouping Data with Pandas
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Time Series with Pandas
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Cleaning Data with Pandas
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Joining Data with Pandas
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Data Visualization
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Advanced Pandas
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Exploratory Data Analysis
This course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.
Pre-requisites
- 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.
Target Audience
- Those who want to begin a comprehensive path for mastering the pandas library with best practices to analyze data
- Those who want to test their knowledge gained by taking a challenging certification exam
Curriculum 36 Lectures 02:31:35
-
Section 1 : Selecting Subsets of Data from DataFrames with just the brackets
- Lecture 2 :
- Selecting with Just the Brackets.mp4
- Lecture 3 :
- Exercises
-
Section 2 : Selecting Subsets of Data from DataFrames with loc
- Lecture 1 :
- Simultaneous row and column subset selection
- Lecture 2 :
- Slice Notation with loc
- Lecture 3 :
- Other Subset Selections with loc
- Lecture 4 :
- Exercises
-
Section 3 : Selecting Subsets of Data with iloc
- Lecture 1 :
- Simultaneous row and column subset selection
- Lecture 2 :
- Exercises
-
Section 4 : Selecting Subsets of Data from a Series
- Lecture 1 :
- Selecting Subsets of Data from a Series
- Lecture 2 :
- Exercises
-
Section 5 : Boolean Selection Single Conditions
- Lecture 1 :
- Boolean Selection Single Conditions
- Lecture 2 :
- Practical Boolean Selection
- Lecture 3 :
- Exercises
-
Section 6 : Boolean Selection Multiple Conditions_
- Lecture 1 :
- Different logical operators for boolean Series
- Lecture 2 :
- Inverting a condition with the not operator
- Lecture 3 :
- Many equality conditions in a single column
- Lecture 4 :
- Exercises - Boolean Selection Multiple Conditions
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Section 7 : Boolean Selection More
- Lecture 1 :
- Boolean Selection on a Series
- Lecture 2 :
- Simultaneous boolean selection of rows and column labels with loc
- Lecture 3 :
- Column to Column Comparison
- Lecture 4 :
- Filter for Missing Values
- Lecture 5 :
- Exercises - Boolean Selection More
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Section 8 : Filtering with the query Method
- Lecture 1 :
- Intro to the query Method
- Lecture 2 :
- Column to Column Comparison within the query method
- Lecture 3 :
- Arithmetic Operations within query
- Lecture 4 :
- Reference Variable Names
- Lecture 5 :
- Selecting Columns with query
- Lecture 6 :
- Summary of the query Method
- Lecture 7 :
- Exercises
-
Section 9 : Miscellaneous Subset Selection
- Lecture 1 :
- Selecting a Column with Dot Notation
- Lecture 2 :
- Selecting rows with just the brackets using slice notation
- Lecture 3 :
- Selecting a single cell with at and iat
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Section 10 : Taking the Certification Exam
- Lecture 1 :
- Going to the Exam Website
- Lecture 2 :
- Completing the Exam
- Lecture 3 :
- Submitting the Exam
Our learners work at
Frequently Asked Questions
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