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Data Analytics Interview Prep Using Pandas

Name: Data Analytics Interview Prep Using Pandas
Price: 59 USD
Author: Maged Shalaby

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.

4.4

44 lessons

2h 30min

Created by Maged Shalaby

Data Analytics Interview Prep Using Pandas

What's included

44 lessons across 8 modules
9 quizzes with instant feedback
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

Apply selection and filtering to extract rows/columns using conditions, lists, and string methods
Combine AND/OR logic and negation to solve multi-criteria filtering challenges in Pandas
Use .query() and related selection techniques to write concise, readable DataFrame filters
Group DataFrames by one or more columns and compute aggregations (sum, mean, max) with .agg()
Filter grouped results and convert outputs to Python dictionaries for reporting
Manipulate datetime data: cast types, filter ranges, generate date ranges, and resample by month
Use map/apply/applymap to transform data, classify rows, and clean values across a DataFrame

Learning Roadmap

44 Lessons9 Quizzes20 Challenges

Course Introduction

Get familiar with Pandas through practical challenges, using datasets centered on music, travel, and medical information.

What Should You Expect from This Course?

Datasets

Selection / Filters

Unpack the core of selection and filtering techniques in Pandas for effective data analysis.

Introducing Selection & Filters in Pandas

Basic Filtering

Challenge: Multiple Filters

Filtering by a List/String Filters

Challenge: String Filters

Challenge: Combining Filter Types

Final Quiz

Summary & Other Concepts

Grouping

8 Lessons

Work your way through grouping DataFrames by columns, aggregation functions, and practical challenges.

Dates Manipulation

7 Lessons

Break down complex ideas on date manipulation, filtering, generating, and resampling with Pandas.

Apply / Map

7 Lessons

Solve problems in applying complex functions using Pandas' apply and map methods effectively.

Merge/Concat

7 Lessons

Tackle merging and concatenating DataFrames in Pandas for effective data analysis.

Quizzes: Assorted Topics

4 Lessons

Conclusion

Get familiar with key Pandas functionalities and necessary skills for a Data Analyst interview.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE 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.

Learn more about Maged

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