Data Analysis and Statistics

CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making

Machine Learning for Data Science and Analytics

Essential Math for Data Analysis using Excel Online

CERTaIN: Observational Studies and Registries

Machine Learning Fundamentals

Decision-Making for Autonomous Systems

Analyzing and Visualizing Data with Excel

Analyzing Data with Python

Sparse Representations in Signal and Image Processing: Fundamentals

Marketing Analytics: Marketing Measurement Strategy

Machine Learning with Python: from Linear Models to Deep Learning

Analytics Storytelling for Impact

Big Data Capstone Project

Evidence-Based Project Management

CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations

Multi-Object Tracking for Automotive Systems

Evidence-Based Management Foundations

Analytics for Decision Making

Big Data Analytics Using Spark

Marketing Analytics: Data Tools and Techniques

Data Mining: Theories and Algorithms for Tackling Big Data

Big Data Analytics

The Analytics Edge

Sparse Representations in Image Processing: From Theory to Practice

From Graph to Knowledge Graph – Algorithms and Applications

Introduction to R for Data Science

Demystifying Biomedical Big Data: A User’s Guide

Applied Data Analysis: Working in Organizations and Industries

Theory of Change for Development

Evidence-Based Business Communication

Data Analytics for Business

Deep Learning Fundamentals with Keras

Big Data and Education

Deep Learning Explained

IoT Programming and Big Data

Foundations of Data Science: Inferential Thinking by Resampling

Introduction to Analytics Modeling

IoT System Design: Software and Hardware Integration

Policy Analysis Using Interrupted Time Series

Business and Data Analysis Skills

CERTaIN: CER/PCOR Methods: Introduction

Lean Production

Data Visualization: A Practical Approach for Absolute Beginners

Data Science: Productivity Tools

Market Segmentation Analysis

Essential Math for Machine Learning: R Edition

Data Science: Wrangling

Programming for Data Science