Data Analysis and Statistics

Data Science: Capstone

Data Mining: Theories and Algorithms for Tackling Big Data

An Introduction to Credit Risk Management

Big Data and Education

Operations Management

Introduction to Artificial Intelligence (AI)

Analyzing Big Data with Microsoft R

From Graph to Knowledge Graph – Algorithms and Applications

Data Analysis: A Practical Introduction for Absolute Beginners

Fundamentals of Statistics

Macroeconomics for a Sustainable Planet

Principles, Statistical and Computational Tools for Reproducible Data Science

Multi-Object Tracking for Automotive Systems

Machine Learning for Data Science and Analytics

Visualizing Data with Python

Programming Reactive Systems

Introduction to Python for Data Science

Essential Math for Data Analysis using Excel Online

Data Visualization: A Practical Approach for Absolute Beginners

Deep Learning with Python and PyTorch

Using GPUs to Scale and Speed-up Deep Learning

Analyzing and Visualizing Data with Power BI

Analytics Storytelling for Impact

Decision-Making for Autonomous Systems

Machine Learning with Python: A Practical Introduction

Programming for Data Science

Data Analytics for Business

Supply Chains for Manufacturing II

Python Basics for Data Science

Marketing Analytics: Marketing Measurement Strategy

Introduction to Data Analysis using Excel

Essential Math for Machine Learning: R Edition

Sparse Representations in Image Processing: From Theory to Practice

Marketing Analytics: Price and Promotion Analytics

Deep Learning Fundamentals with Keras

Implementing Predictive Analytics with Spark in Azure HDInsight

Data Science Ethics

Marketing Analytics: Data Tools and Techniques

CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making

Processing Real-Time Data Streams in Azure

Evidence-Based Stakeholder Marketing

CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations

Computing for Data Analysis

Statistical Thinking for Data Science and Analytics

Data Science: Probability

Big Data Fundamentals

Theory of Change for Development

Data Analysis for Decision Making