Start Learning Data Science Online for Free
Gain the skills you need to succeed in today’s data-driven business environment. Make the first step with free access to:
- 47+ hours of video lessons
- 203+ practical exercises
- Downloadable materials
- In-platform resume builder
- Gamified features
Discover a Structured Online Program
You will learn data science with world-class instructors who hold degrees from some of the most prestigious universities.
The Best Way to Learn Data Science
Our beginner-to-advanced training starts from the fundamentals and builds up your expertise in a logical and easy-to-follow way. Step by step, no prior experience required.Career Tracks
Explore the first sections of structured career tracks designed to develop the unique skillset for your target job role – Data Scientist, Data Analyst, or Business Analyst.Self-paced Online Courses
Access your video lessons and exercises anytime, anywhere. Set your daily learning goals and make success a routine.Taught by Outstanding Professionals
Get familiar with the most in-demand tools and techniques under the guidance of the best experts in the field. Receive personalized assistance throughout your learning process.Travel Down an Expert-led Learning Path
Learn data science from the ground up. From the very basics to the most advanced topics, our all-in-one training is a perfect solution both for complete beginners and working professionals who want to add in-demand skills and technologies to their toolbox. Get started with the free lessons from each module and see if the program is the right fit for you.Data Science Fundamentals
This module is optimized to help you develop a strong foundation for a data science career. It dives deep into the core principles of probability, statistics, and mathematics necessary for building machine and deep learning models further in the program. You will start working with data and learn how to visually present the results of your analyses.
Programming for Data Science
Here you will focus on developing a versatile programming skillset. You will acquire a thorough functional understanding of relational databases, using essential SQL queries to preprocess data, as well as coding and leveraging popular libraries in Python, like NumPy and matplotlib. You will also learn the best ways to manipulate and visualize data in R.
Machine & Deep Learning
Building on the foundations developed in the first 2 modules, Module 3 will teach you how to apply advanced statistical methods to execute predictive analytics. You will learn how to use sklearn to build complete linear and logistic regression models from scratch, and how to cluster unlabeled datasets with k-means. You will then progress to building deep learning models with the Keras library in TensorFlow 2.0, optimizing your neural network with backpropagation and fine-tuning your model.
Advanced Specialization
By now, you will have developed a solid understanding of Python programming and statistical modeling. The concluding module gives you the opportunity to mold your data science expertise according to a field of your choosing. From developing next-gen fintech products to helping retail giants boost profitability through customer analytics, you’ll be able to make a valuable contribution to a diverse industry spectrum.