Course catalog

Data Science Tools of the Trade: First Steps

Jump-start your data science career by learning how to install and work with several essential data science tools, including Proxmox, Hadoop, Spark, and Weka.

Data Visualization for Data Analysis and Analytics

Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.

Data Visualization in R with ggplot2

Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.

Data Visualization, Storytelling, and Information Design: A Lesson and Listen Series

Learn about key themes in data visualization, data storytelling, and information design, and listen to interviews with leading designers and data visualization experts.

Data Visualization: Storytelling

Learn the keys to telling a story with data from data visualization expert Bill Shander.

Data Visualizations with Plotly

Learn how to create interactive data visualizations that can be shared online or offline using Plotly.

Data Wrangling in R

Learn about the principles of tidy data, and discover how to create and manipulate data tibbles—transforming them from source data into tidy formats.

Data-Driven Network Security Essentials

Learn how to improve network security by leveraging data. Learn about data collection, network forensics, and how to use machine learning and visualization to process network data.

Database Foundations: Data Structures

Learn how to properly structure your data tables to develop well-formed databases that adhere to time-tested standards.

Database Foundations: Database Management

Part three of the Database Foundations series focuses on data management.

DC.js for Data Science Essential Training

Learn how to use DC.js in coordination with Crossfilter and D3.js to create interactive dashboards and widgets that display bar charts, scatterplots, heatmaps, and more.

Debiasing AI Using Amazon SageMaker

Learn how to debias AI with Amazon SageMaker. Build machine learning models that are fair, transparent, and explainable.

Deep Learning: Face Recognition

Learn how to develop a face recognition system by leveraging deep learning. Find out how to code for face detection, identification, and more.

Deep Learning: Image Recognition

Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

Deploying Scalable Machine Learning for Data Science

Learn how to use design patterns for scalable architecture and tools such as services and containers to deploy machine learning at scale.

Descriptive Healthcare Analytics in R

Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.

Designing Big Data Healthcare Studies, Part One

Learn how to perform accurate, rigorous analysis of healthcare data. Part one of the training series covers epidemiology, study design, and planning an analytic data set.

Designing Big Data Healthcare Studies, Part Two

Learn how to perform accurate, rigorous analysis of healthcare data. Part two of the training series covers descriptive and regression analysis and interpretation.

Developing Microsoft SQL Server 2016 Databases

Learn how to develop a SQL Server 2016 database with more advanced features, like temporary tables, stored procedures, indexes, and secure user accounts.

DevOps for Data Scientists

Learn the principles of supporting DevOps and how to apply them to data science.

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