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A data science program for everyone. You will learn How to interpret and communicate data and results using a vast array of real-world examples from different domains, make predictions using machine learning and more!

Using open-source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data. These courses are perfect for those who seek advanced training in high-throughput technology data.

From a strong foundation in statistics to specialized R programming skills, this series will lead you through the data analytics landscape step-by-step.

This eight-course Professional Certificate from IBM prepares you with job-ready skills for an entry level data analyst role. Position yourself competitively and power your data analyst career for a job in a thriving market or leverage foundational data skills to explore problems in an increasingly data-driven professional world.

The first course of the Program covers such concepts of data analytics as data preprocessing and visualization, large datasets management and storage by means of SQL and NoSQL database management systems, data series analysis

This Professional Certificate program prepares students, working professionals, and decision makers to become data literate in both their professional and personal lives.

The beginning of the course is focused on explaining what web analytics is, how it all started, and how analytics changed over the years with the development of technology. You will also learn about true potential of web analytics and how you can use it to help your business grow.

Learn how to develop and apply your own deep neural networks to solve problems like Speech recognition, drug discovery, breast cancer detection, and more.

Learn the elements of a robust IIoT control system through applications.

Learn Artificial Intelligence Learning Approaches, Tools, Problems, and Applications.

Learn what exactly AI is, what are its different facets. Basic introduction to, "What is AI?", AI schools of thoughts, Alan Turing's contribution, etc. 3+ hours of content geared towards explaining basic ideas behind AI.

Learn the fundamentals of deep learning and neural network models.

Get introduced to Deep Learning and learn history of Deep Learning.

This course will show you Why Python is so popular in the Data Science community, How to set up the development environment (which will be Jupyter Notebook) and install the base packages for Python, and more

An introductory course on Supervised, Unsupervised, Reinforcement learning, and machine learning applications. Get introduced to Machine Learning and gain a good basic understanding of its applications.

Learn how to make sure you are getting the best predictions your model can provide.

A hands-on and practical course on making machines understand the way we speak. Instructor holds a Ph.D. in Electrical and Computer Engineering, with a focus on machine learning and data analysis. This course helps students understand how machines understand human language.

Learn how to solve problems using factors such as searching, informed search, Adversarial Search and Games, Constraint Satisfaction, Local Search, and Applications.

Get started with quantitative analysis to develop & backtest trading strategies. Extract data from different sources like quandl, yahoo-finance, etc.