Master Data Analysis with Python - Selecting Subsets of Data

Focused View

Ted Petrou

2:06:21

131 View

1. Introduction

1. Take Master Data Analysis with Python - Intro to Pandas First.mp4

01:04

2.1 Master_Data_Analysis_with_Python_-_Intro_to_Pandas_by_Ted_Petrou_20211123.zip

2. Downloading the Course Material.mp4

01:12

3. Going through the Course Material.mp4

02:23

4. A Note on Exercise Solution Videos.mp4

00:33

2. Selecting Subsets of Data from DataFrames with just the brackets

1. Intro to Subset Selection.mp4

03:14

2. Selecting with Just the Brackets.mp4.mp4

04:17

3. Exercises.mp4

03:21

3. Selecting Subsets of Data from DataFrames with loc

1. Simultaneous row and column subset selection.mp4

06:18

2. Slice Notation with loc.mp4

06:27

3. Other Subset Selections with loc.mp4

03:06

4. Exercises.mp4

06:03

4. Selecting Subsets of Data with iloc

1. Simultaneous row and column subset selection.mp4

05:28

2. Exercises.mp4

03:45

5. Selecting Subsets of Data from a Series

1. Selecting Subsets of Data from a Series.mp4

05:44

2. Exercises.mp4

03:27

6. Boolean Selection Single Conditions

1. Boolean Selection Single Conditions.mp4

05:41

2. Practical Boolean Selection.mp4

05:13

3. Exercises.mp4

05:57

7. Boolean Selection Multiple Conditions

1. Different logical operators for boolean Series.mp4

07:01

2. Inverting a condition with the not operator.mp4

04:32

3. Many equality conditions in a single column.mp4

03:51

8. Boolean Selection More

1. Boolean Selection on a Series.mp4

04:03

2. Simultaneous boolean selection of rows and column labels with loc.mp4

04:11

3. Column to Column Comparison.mp4

02:26

4. Filter for Missing Values.mp4

02:20

9. Filtering with the query Method

1. Intro to the query Method.mp4

06:25

2. Column to Column Comparison within the query method.mp4

01:40

3. Arithmetic Operations within query.mp4

02:13

4. Reference Variable Names.mp4

02:12

5. Selecting Columns with query.mp4

01:00

6. Summary of the query Method.mp4

01:05

10. Taking the Certification Exam

1. Going to the Exam Website.mp4

00:56

2. Completing the Exam.mp4

07:10

3. Submitting the Exam.mp4

02:03

Description

Continue your data analysis journey with Python by mastering the fundamentals of the pandas library

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

Who is this for?

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

What You Need to Know?

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.

More details

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 MasterÂ 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 PythonÂ 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 pandas library with best practices to analyze data
Those who want to test their knowledge gained by taking a challenging certification exam

User Reviews

Rating

average 0

Total votes0

Focused display

I am the author of Pandas Cookbook and Master Data Analysis with Python, highly rated texts on performing real-world data analysis with Pandas.I am the founder of Dunder Data, a company that teaches the fundamentals of data science and machine learning. I enjoy discovering best practices on how to use and teach data analysis with Python.I also enjoy creating open-source Python libraries and am author of Dexplot, Bar Chart Race, DataFrame Image, and Jupyter to Medium.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.