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.

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.

Data Analytics Interview Prep Using Pandas

# Course conclusion

Having completed this course, you should now have a strong grasp of how to:

1. Filter and subset a Pandas DataFrame
2. Group Pandas DataFrames by categorical features, and analyze the resultant groups
3. Handle dates in Pandas, and perform analysis based on extracted date features
4. Apply functions to rows/columns to perform more complex computations/analyses
5. Merge or combine multiple `DataFrames` based on different strategies

You have applied different methods to perform the above points, and have now covered a very good portion of the most important Pandas concepts. Congratulations!

This lesson concludes the course and what you have learned so far. Congratulations!

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Conclusion

Course conclusion