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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.

Beginner

44 Lessons

2h 30min

Certificate of Completion

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.

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

26 Playgrounds

20 Challenges

9 Quizzes

Course Overview

Course Content

Course Overview

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 yo...Show More

Course Content

Course Introduction

2 Lessons

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

8 Lessons

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.

Introduction to Grouping

Challenge 1: Sum of Plays per Country (Trivial)

Challenge 2: Sum of Plays per Country + Genre (Trivial)

Challenge 3: Countries with >1000 Plays (Easy)

Challenge 4: Plays-to-Fans Ratio (Medium)

Challenge 5: Multiple Aggregations (Difficult)

Final Quiz

Summary & Other Concepts

Dates Manipulation

7 Lessons

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

Introduction to Dates Manipulation

Challenge 1: Count of Dates in Month (Trivial)

Challenge 2: Count within Date Range (Trivial)

Challenge 3: Generate Dates (Easy)

Challenge 4: Grouping/Resampling By Month (Difficult)

Final Quiz

Summary & Other Concepts

Apply / Map

7 Lessons

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

Introduction to Using Apply/Map in Pandas

Challenge 1: Mapping Countries to Continents (Trivial)

Challenge 2: Band Initials (Trivial)

Challenge 3: Is the Band Popular? (More Complex Function) (Easy)

Challenge 4: Sales (Medium)

Final Quiz

Summary & Other Concepts

Merge/Concat

7 Lessons

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

Introduction to Merging/Concatenating DataFrames

Challenge 1: Basic Merge [Countries & Bands] (Trivial)

Challenge 2: Merge with Missing Values (Medium)

Challenge 3: Basic Concat [Bands] (Trivial)

Challenge 4: Concat on Columns [Bands] (Medium)

Final Quiz

Summary & Other Concepts

Quizzes: Assorted Topics

4 Lessons

Basic Statistics

Setting Index

Reading / Writing a CSV

Looping over a DataFrame

Conclusion

1 Lessons

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

Conclusion

Course Author

Maged Shalaby

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