Course catalog
Showing 41-60 of 264 items.
Bracketology Club: Using March Madness to Learn Data Science
Meet Delphi Bracketology, a high school club that uses data science to generate highly accurate March Madness brackets. See amateurs turn into formidable bracketologists.
Building a Recommendation System with Python Machine Learning & AI
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
Building and Deploying Deep Learning Applications with TensorFlow
Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.
Building Data Apps with R and Shiny: Essential Training
Learn how to develop data-driven web apps using the R language and Shiny.
Building Deep Learning Applications with Keras 2.0
Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.
Building Recommender Systems with Machine Learning and AI
Learn how to build recommender systems and help people discover new products and content with deep learning, neural networks, and machine learning recommendations.
Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics
Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
Business Analytics: Data Reduction Techniques Using Excel and R
Learn how to carry out cluster analysis and principal components analysis using R, the open-source statistical computing software.
Business Analytics: Forecasting with Exponential Smoothing
Get an introduction to simple exponential smoothing, including how to assemble the forecast equation and optimize forecasts.
Business Analytics: Multiple Comparisons in R and Excel
Learn how to run multiple comparison tests in Excel and R to pinpoint mean differences in multiple groups of data.
Business Analytics: Understanding and Using Confidence Intervals
Learn basic techniques for constructing and interpreting confidence intervals, as well as what they can tell you about your personal and business decisions.
Cassandra Data Modeling Essential Training
Learn about the architecture of Cassandra—a popular NoSQL database capable of handling large amounts of fast-changing data—and discover how to design Cassandra data models.
Certified Analytics Professional (CAP) Cert Prep: Domains 5–7
Need a study guide for the Certified Analytics Professional (CAP) exam? This course helps prepare test takers for the topics covered in exam domains 5–7.
Cleaning Bad Data in R
Clean up your data in R. Learn how to identify and address data integrity issues such as missing and duplicate data, using R and the tidyverse.
Cleaning, Transforming and Prepping Your Data With Tableau Prep
Learn to clean, transform, pivot, and prep data for visualization in Tableau Desktop with Tableau Prep.
Cloud Hadoop: Scaling Apache Spark
Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.
Cloud NoSQL for SQL Professionals
Learn how to choose a cloud-based NoSQL database solution that's right for your organization.
Creating Interactive Presentations with Shiny and R
Make the results of big data analysis more compelling and clear. Learn how to create interactive presentations and dashboards with RStudio and Shiny.
Creating Interactive Tableau Dashboards
Discover how to create interactive dashboards that are informative and compelling using Tableau, the data visualization software.