Data Analysis

Weekly practice exercise posted every Monday.

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Why Participate

The Pandas package for Python provides a powerful library of data import, cleaning and analysis functions. It allows you to quickly and easily perform a wide range of analytical, statistical, time-series and aggregation tasks, and also integrates seamlessly with other popular Python libraries like NumPy, SciPy, and Matplotlib. For Power BI users, it adds analytical capabilities not easily accomplished via DAX or M code.

Workout Leader

Kedeisha Bryan is a Senior Data Engineer, an experienced Data Analyst, an Enterprise DNA Expert, and the Founder of the Data in Motion community. As a leading voice in the data community, we are extremely excited to partner with her on these workouts, and warmly welcome the Data in Motion members to this community as well.


These workouts will be posted weekly before midnight UTC every Monday. Kedeisha will post her solutions for each workout every Sunday.

How to submit your solution

When you have completed the workout, just post your code and a screenshot of your results. Please blur or hide the details of your code using the forum features.

What our Students Say
Your Instructor

Kedeisha Bryan

Senior Data Engineering Consultant at Booz Allen Hamilton with prior experience in business analyst and data science roles in both Silicon Valley and multibillion dollar companies. A leader who proudly serves the data community providing mentorship, resources, and training to beginners looking to break into the data space. Passionate about providing a space to encourage equal opportunities that will even out the playing field in tech.

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