DataFrames

Filter Courses within "DataFrames" (Click to filter)
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

Discover the power of Julia in scientific computing with our beginner-friendly online course. Designed specifically for physics, chemistry, astronomy, engineering, data science, bioinformatics and more, this four-module program will introduce you to Julia as a first language. Enhance your skills and unlock new possibilities in scientific programming.

Aug 17th 2026
4 Weeks
Applications in Engineering Mechanics (Coursera) Coursera
Georgia Institute of Technology

Applications in Engineering Mechanics (Coursera)

Expand your knowledge in engineering mechanics by delving into practical applications that build upon foundational principles. This course is designed for students who have a solid grasp of introductory mechanics and are ready to tackle real-world problems. Learn how to model and analyze static equilibrium in complex engineering structures, gaining essential skills for problem-solving and system analysis.

Aug 10th 2026
5-12 Weeks
Serverless Data Processing with Dataflow: Develop Pipelines (Coursera) Coursera
Google Cloud

Serverless Data Processing with Dataflow: Develop Pipelines (Coursera)

Dive into the world of serverless data processing with our advanced course on Dataflow. This course will guide you through developing efficient pipelines using the Beam SDK, covering essential concepts like Apache Beam, handling streaming data, windowing techniques, watermarks, triggers, sources & sinks, and implementing stateful transformations.

Jul 27th 2026
3 Weeks
Programming for Everyone : Working with Data (Coursera) Coursera
Coursera Project Network

Programming for Everyone : Working with Data (Coursera)

Embark on a journey into the world of data processing and visualization with 'Programming for Everyone: Working with Data'. This comprehensive course, available on Coursera, is designed for those new to programming and eager to learn how to work effectively with data. You'll explore the dplyr package in R, update an existing app to support multiple cities, and master creating tabular graphics using the gt package. Ideal for beginners aiming to build a strong foundation in data analysis.

Mar 14th 2022
Self-Paced
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