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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.

What am I going to get from this course? Improved ability to discriminate, differentiate, and conceptualize appropriate methods of supervised machine learning methods Improved general awareness regarding use of these models as L1-/L2-norm regularizers, loss-functions, and more.

Learn how to take informed decisions based on probabilities and expert knowledge

This course will focus on Clustering algorithms and methods through practical examples and code. More importantly, it will get you up and running quickly with a clear conceptual understanding. The course has code & sample data for you to run and learn from. It also encourages you to explore your own datasets using Clustering algorithms.