DataFrames Courses and Certifications

Data Manipulation in Julia

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

MLOps.community

Dataframes Are All You Need: MLOps on Easy Mode

Explore the power of dataframes in MLOps with Jay Chia. Learn how this flexible abstraction simplifies complex data processing, analytics, and machine learning pipelines using Daft as an example.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Manipulating DataFrames with pandas

You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Merging DataFrames with pandas

This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist's toolbox.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Working with DataFrames in PySpark

Master PySpark DataFrames for advanced data manipulation, from creation to complex operations like filtering, joins, and handling missing data - all designed for large-scale dataset management.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Julia Scientific Programming

33 ratings

Learn Julia for scientific computing: high-performance language for data analysis, modeling, and visualization. Explore arrays, loops, SIR models, and statistical techniques through hands-on projects and real-world applications.

• Coursera
• 19 hours 12 minutes
• Self-Paced
• Paid Course

Intermediate Python

799 ratings at DataCamp

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Conf42

Polars: A Highly Optimized Dataframe Library

Explore Polars, a high-performance dataframe library. Learn optimized data manipulation techniques, efficient handling of types, and mastering aggregations for improved machine learning workflows.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Keith Galli

Learning the Polars DataFrame Library - Introduction and Hands-on Exploration

Explore Polars DataFrame library through hands-on coding, performance comparisons with Pandas, and practical examples. Learn efficient strategies for mastering new data manipulation skills.

• YouTube
• 1 hour 50 minutes
• Self-Paced
• Free Video

Alex the Analyst

Merging DataFrames in Python Pandas

Master essential techniques for merging, joining, and concatenating DataFrames in Pandas to efficiently combine and analyze multiple datasets using Python's powerful data manipulation library.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Conf42

FireDucks: A Multithreaded DataFrame Library with JIT Compilation

Discover FireDucks, a high-performance DataFrame library that combines multithreading with JIT compilation to overcome Pandas limitations, offering faster data processing and optimized memory usage for Python developers.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Data Manipulation with pandas

293 ratings at DataCamp

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Java

There Is a Missing Tool in Your Java Data Structure Toolkit - DataFrames!

Discover how DataFrames can transform your Java development by providing a powerful alternative to low-level collections for data manipulation and analysis.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

ETL and ELT in Python

29 ratings at DataCamp

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Reshaping Data with pandas

26 ratings at DataCamp

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available