Create your own path to a career in Data Science. Our library of top-rated, on-demand courses is equipped with engaging videos, expert instruction, programming exercises, and GitHub projects. Every course allows you to work at your own pace and develop skills that matter.
A learn-by-doing philosophy supported by industry-inspired, GitHub based projects.
Practice with our unique catalog of programming exercises.
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Our self-paced courses include videos created by professional instructors, along with Jupyter Notebooks designed to guide you through the content.
Each video is shaped around core objectives, community observations, and the experiences of your instructor, blending concrete information with real-world scenarios.Learn more
The best way to learn Data Science is by doing. We provide hundreds of exercises, projects, and quizzes to ensure you master the concepts explained in every course.
Our platform includes everything you need (libraries, data, test cases, etc). You can start coding today.Learn more
Our platform is designed to keep you pointed in the right direction, showing you what to work on next. As you progress through your studies, you’ll never lose your way. You can track what you’ve accomplished and navigate upcoming activities easily.
The projects you complete automatically connect with GitHub, improving your online portfolio.Learn more
With award-winning content developed by experts in the field, you can conquer the crucial skills required to succeed as a Data Scientist.
Our curriculum is broken down into easy-to-digest segments that will help you maintain consistent, steady progress.Learn more
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A beginner's guide to algorithms, control flow, and how to use Python to start your Data Science journey.View course
This course focuses on data structures and their usage while preparing you to manage them within projects when using Python.View course
An introduction to modules & packages, importing, and libraries in Python. This course focuses on the usage of several notable libraries, including random, math, and datetime.View course
Learn the fundamentals of Functional Programming with Python, including map/reduce, lambdas, and the advantages of immutable code.View course
Learn how to create and manage Exceptions using Python. As a result, you'll have more robust, fault tolerant, and production-ready programs.View course
Learn OOP in a simple, intuitive way. This hands-on course will teach you how classes and objects work, through multiple exercises and projects.View course
Learn how to read, write, and analyze files using Python, as well as how to access HTTP Connections (websites, APIs, and more).View course
Learn how to query, insert, update, or delete data from Databases using SQL and Python modules.View course
Learn how to use NumPy for scientific computing and build the foundations of Data Science and large data processingView course
Learn the fundamentals of Data Analysis using Pandas, the most popular Python library for Data Science.View course
Learn how to import data from the most common formats and external sources, such as SQL, Excel files, JSON, CSVs, and APIs.View course
Learn how to clean data with concise and real life strategies, regardless of where your data is coming from: databases, scraped websites, etc.View course
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