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Data Analytics Interview Prep Using Pandas
The ultimate guide to data analytics interviews using Pandas. Strengthen your skills with advanced concepts and practice with real-world interview questions. Developed by FAANG engineers.
4.9
44 Lessons
2h 30min
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
Course Introduction
Course Introduction
Get familiar with Pandas through practical challenges, using datasets centered on music, travel, and medical information.
2.
Selection / Filters
Selection / Filters
Unpack the core of selection and filtering techniques in Pandas for effective data analysis.
3.
Grouping
Grouping
8 Lessons
8 Lessons
Work your way through grouping DataFrames by columns, aggregation functions, and practical challenges.
4.
Dates Manipulation
Dates Manipulation
7 Lessons
7 Lessons
Break down complex ideas on date manipulation, filtering, generating, and resampling with Pandas.
5.
Apply / Map
Apply / Map
7 Lessons
7 Lessons
Solve problems in applying complex functions using Pandas' apply and map methods effectively.
6.
Merge/Concat
Merge/Concat
7 Lessons
7 Lessons
Tackle merging and concatenating DataFrames in Pandas for effective data analysis.
7.
Quizzes: Assorted Topics
Quizzes: Assorted Topics
4 Lessons
4 Lessons
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
In this course, you will face a number of challenges across different concepts, all with the data analytics library Pandas.
This course is mainly to refresh your knowledge, as well as help you understand more advanced concepts. By solving multiple challenges, you will surely strengthen your skills and it will help you ace your interview involving Pandas.
You will cover many topics such as: grouping, filtering, date manipulation, and more. By the time you finish this course, you will have the confidence you need to land your dream job.
ABOUT THE AUTHOR
Maged Shalaby
Tech Lead at a disruptive health-tech startup, passionate about software development, music, and making an impact.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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