Learn Advance Your Future.

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.

Get professional quantitative data analytics training and fast track your career in a leading industry with high job growth.

Discover the fundamentals of data analytics, and start your journey to becoming a top data scientist.

Get to know your target consumer's buying behaviour and learn how to implement effective cross-channel marketing campaigns.

Learn from a top-ranking global school to build job-ready Data Science skills

This is the most comprehensive Full Stack Data Science program available that covers all steps of the Data Science process, from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics, and Machine Learning models using R, Python, Tableau, Tensor Flow, and Keras.

In this course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets.

Get your development environment set up correctly with instructor Bruce Van Horn's step-by-step guidance, and explore PyCharm's first-rate text editing tools. Learn how to improve your code quality with Lens Mode and Intentions, refactor and debug code, and perform unit testing with the PyCharm test runner.

Whether you're new to programming or an experienced developer, this course can help you get started with Python.

This course introduces the core concepts of the tidyverse as compared to the traditional base R. It focuses on the novice user and those unfamiliar with the pipe (%>%) operator.

In this course, Bill Weinman demonstrates how to use Python 3 to create well-designed scripts and maintain existing projects. This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions.

In this practical, hands-on course, learn how to use Python for data preparation, data munging, data visualization, and predictive analytics. Instructor Lillian Pierson, P.E. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science.

Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches one of the most popular programming languages for data analysis and reporting'in short lessons that expand on what existing programmers already know.

Start by learning to manage packages and structure data for visualizations with the tidyverse and the pipe operator. Then there is an important question: Which library should you choose? The course introduces five popular options: Leaflet, Plotly, Highcharter, visNetwork, and DataTables (DT).

Get the training you need to stay ahead with expert-led courses on SAS.

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.