What you will 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
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 pandas library with best practices to analyze data
- Those who want to test their knowledge gained by taking a challenging certification exam
Can I download Master Data Analysis with Python – Selecting Subsets of Data course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Master Data Analysis with Python – Selecting Subsets of Data course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.