Data, AI, and Cloud Courses

• BasicSkill Level
• 4.7+
• 145.8K

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

• BasicSkill Level
• 4.6+
• 33.3K

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

• BasicSkill Level
• 4.7+
• 20.6K

Master the fundamentals of programming in Python. No prior knowledge required!

• IntermediateSkill Level
• 4.5+
• 9.2K

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

• IntermediateSkill Level
• 4.6+
• 8.4K

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

• BasicSkill Level
• 4.7+
• 7.7K

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

• BasicSkill Level
• 4.6+
• 5.7K

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

• BasicSkill Level
• 4.5+
• 5.5K

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

• IntermediateSkill Level
• 4.5+
• 5.4K

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

• BasicSkill Level
• 4.6+
• 5.4K

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

• IntermediateSkill Level
• 4.6+
• 5.3K

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

• BasicSkill Level
• 4.6+
• 4.9K

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

• IntermediateSkill Level
• 4.6+
• 4.5K

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

• AdvancedSkill Level
• 4.5+
• 4.4K

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

• BasicSkill Level
• 4.6+
• 4.3K

Improve your Python data importing skills and learn to work with web and API data.

• BasicSkill Level
• 4.7+
• 4.3K

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

• IntermediateSkill Level
• 4.5+
• 3.5K

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

• IntermediateSkill Level
• 4.6+
• 3.4K

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

• BasicSkill Level
• 4.5+
• 3.3K

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

• IntermediateSkill Level
• 4.4+
• 3.2K

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

• AdvancedSkill Level
• 4.6+
• 3.2K

Learn how to implement and schedule data engineering workflows.

• IntermediateSkill Level
• 4.6+
• 3K

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

• IntermediateSkill Level
• 4.5+
• 3K

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

• IntermediateSkill Level
• 4.7+
• 2.9K

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

• IntermediateSkill Level
• 4.5+
• 2.9K

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

• IntermediateSkill Level
• 4.5+
• 2.7K

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

• IntermediateSkill Level
• 4.5+
• 2.7K

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

• IntermediateSkill Level
• 4.5+
• 2.4K

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

• IntermediateSkill Level
• 4.7+
• 2.4K

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

• IntermediateSkill Level
• 4.6+
• 2.3K

Learn how to work with dates and times in Python.