Course catalog
Showing 41-60 of 607 items.
AWS: Enterprise Security
Implement AWS securely. Learn about the different security tools within AWS—Identity and Access Management (IAM), Key Management Service (KMS), and more—as well as how to use them.
Azure Databricks Essential Training
Learn best practices, patterns, and processes for developers and DevOps teams who want to design and implement data processing using Azure Databricks.
Big Data Analytics with Hadoop and Apache Spark
Discover how to build scalable and optimized data analytics pipelines by combining the powers of Apache Hadoop and Spark.
Big Data in the Age of AI
Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
Blockchain Basics
Blockchain technology presents a disruptive new way of conducting transactions over the internet. In this course, learn what the blockchain is and what it might mean to you.
Blockchain: Beyond the Basics
Learn about blockchain technology and the implications of decentralized, encrypted data storage for business and society.
Blockchain: Learning Solidity
Add the power of blockchain to your applications. Learn how to build blockchain-based smart contracts with Solidity and eliminate the middleman in sensitive transactions.
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 a Security Awareness Program: Phishing Simulations
Learn how to run phishing tests to build security awareness among your employees.
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.