Working with Hugging Face
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Master data modeling in Power BI.
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Improve your Python data importing skills and learn to work with web and API data.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.