Course catalog
Showing 201-220 of 264 items.
Python Statistics Essential Training
Extend your basic knowledge of statistics by building analytics skills using Python and powerful third-party libraries.
PyTorch Essential Training: Deep Learning
Explore the basics of deep learning using PyTorch. Learn about the components of an image recognition model using the Fashion MNIST dataset.
Qlik Sense Essential Training
Learn how to analyze and display data. Discover how to install or connect to Qlik Sense, import and summarize data, create and manipulate data visualizations, and create dashboards.
Querying Microsoft SQL Server 2019
Learn how to retrieve information stored in a Microsoft SQL Server database using the Transact-SQL (T-SQL) language.
R Essential Training Part 2: Modeling Data
Learn how to model data in R, one of the most important tools available for data analysis, machine learning, and data science.
R Essential Training: Wrangling and Visualizing Data
Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.
R for Data Science: Lunchbreak Lessons
Learn R on your lunch break. This weekly series reviews the language features, development tools, and libraries that will make you a more productive R programmer.
R Programming in Data Science: Dates and Times
Learn how to format, compare, calculate, manage, and troubleshoot dates and times using R-based tools.
R Programming in Data Science: High Variety Data
High-variety data can cause a slew of problems for data scientists. In this course, learn what these problems are and how to use the unique capabilities of R to solve them.
R Programming in Data Science: High Velocity Data
Learn how to work your mojo on high-velocity data with R. Discover how to acquire, process, and present high-velocity data using this popular programming language.
R Programming in Data Science: High Volume Data
Analyze high-volume data using R, the language optimized for big data. Learn how to produce visualizations, implement parallel processing, and integrate with SQL and Apache Spark.
R Programming in Data Science: Setup and Start
Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.
R: Interactive Visualizations with htmlwidgets
Learn how to rapidly create rich, interactive data visualizations with R and htmlwidgets—packages that connect R to popular JavaScript libraries like Plotly, Leaflet, and DT.
Reinforcement Learning Foundations
Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.
Relational Databases Essential Training
Modeling phenomena with a relational database is an invaluable skill in today’s big-data world. This course covers the fundamentals of the relational model for creating databases.
Safeguarding AI
Make sure your organization is using artificial intelligence for good. Explore the ethical, legal, and strategic issues guiding the use of AI and machine learning.
SAS Essential Training: 1 Descriptive Analysis for Healthcare Research
Explore the fundamentals of SAS as you learn how to conduct a descriptive analysis of a health survey dataset.
SAS Essential Training: 2 Regression Analysis for Healthcare Research
Deepen your SAS knowledge by learning how to conduct a regression analysis of a health survey data center using this popular data analytics platform.
SAS Programming for R Users, Part 1
Discover how to apply your understanding of R—the language of big data—in the SAS environment.
SAS Programming for R Users, Part 2
Discover how to apply your understanding of R—the language of big data—in the SAS environment. To get the most from this course, make sure to watch part 1 of this series.