Data Analysis and Statistics

Machine Learning for Data Science and Analytics

Introduction to Actuarial Science

Using GPUs to Scale and Speed-up Deep Learning

Principles of Machine Learning: Python Edition

Data Analysis Essentials

Big Data and Education

CERTaIN: Patient-Centered Outcomes Research

Computing for Data Analysis

Programming Reactive Systems

Analytics for the Classroom Teacher

Computational Thinking and Big Data

Evidence-Based Technology Management

CERTaIN: CER/PCOR Methods: Introduction

Data Visualization: A Practical Approach for Absolute Beginners

The Analytics Edge

Essential Math for Machine Learning: Python Edition

Data Science: Visualization

Introduction to R for Data Science

Business Analytics for Data-Driven Decision Making

Probability and Statistics in Data Science using Python

Sparse Representations in Signal and Image Processing: Fundamentals

Implementing Predictive Analytics with Spark in Azure HDInsight

Sparse Representations in Image Processing: From Theory to Practice

Probability – The Science of Uncertainty and Data

Analyzing and Visualizing Data with Power BI

CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations

Statistics for Business – I

IoT System Design: Software and Hardware Integration

Data Science: R Basics

An Introduction to Credit Risk Management

Enabling Technologies for Data Science and Analytics: The Internet of Things

Evidence-Based Management Foundations

How to Win Coding Competitions: Secrets of Champions

Evidence-Based Project Management

Principles, Statistical and Computational Tools for Reproducible Data Science

Supply Chains for Manufacturing I

Policy Analysis Using Interrupted Time Series

Principles of Machine Learning: R Edition

Querying Data with Transact-SQL

Processing Real-Time Data Streams in Azure

Essential Math for Machine Learning: R Edition

Marketing Analytics: Data Tools and Techniques

Processing Big Data with Hadoop in Azure HDInsight

Essential Math for Data Analysis using Excel Online

Visualizing Data with Python

Python for Data Science

CERTaIN: Observational Studies and Registries

Foundations of Data Science: Inferential Thinking by Resampling