Data Analysis and Statistics

Marketing Analytics: Marketing Measurement Strategy

Introduction to Artificial Intelligence (AI)

Introduction to Data Analytics for Managers

Probability and Statistics in Data Science using Python

Data Science: Wrangling

Market Segmentation Analysis

Analyzing Data with Python

Data Science: Productivity Tools

IoT System Design: Software and Hardware Integration

Analyzing and Visualizing Data with Excel

Introduction to Statistical Methods for Gene Mapping

Ethics and Law in Data and Analytics

Data Analysis for Decision Making

Programming for Data Science

CERTaIN: Observational Studies and Registries

Supply Chains for Manufacturing I

Big Data and Education

Using GPUs to Scale and Speed-up Deep Learning

Machine Learning with Python: from Linear Models to Deep Learning

Computing for Data Analysis

Big Data Analytics Using Spark

Macroeconomics for a Sustainable Planet

Introduction to Python for Data Science

Data Analysis Essentials

Data Science: Inference and Modeling

Foundations of Data Science: Prediction and Machine Learning

Data Mining: Theories and Algorithms for Tackling Big Data

Data Science: Capstone

Data Science: Probability

CERTaIN: CER/PCOR Methods: Introduction

How to Win Coding Competitions: Secrets of Champions

Deep Learning with Python and PyTorch

An Introduction to Credit Risk Management

Business Analytics for Data-Driven Decision Making

Deep Learning Fundamentals with Keras

Data Science Research Methods: R Edition

Data Analytics for Business

CERTaIN: Patient-Centered Outcomes Research

Data Science Research Methods: Python Edition

Analyzing Big Data with Microsoft R

Marketing Analytics: Data Tools and Techniques

Introduction to Data Analysis using Excel

Introduction to R for Data Science

Six Sigma: Define and Measure

Evidence-Based Business Communication

Machine Learning for Data Science and Analytics

Fundamentals of Statistics

Data Science: R Basics