Course catalog
Showing 461-480 of 607 items.
Programming Foundations: Web Security
Learn about the most important security concerns when developing websites, and what you can do to keep your servers, software, and data safe from harm.
Protecting Social Security Numbers
Learn how you can create a policy-driven program to protect the social security numbers you have stored from unauthorized use.
Putting ITIL Into Practice: Applying ITIL Foundation Concepts
Learn how to put the seven key ITIL® Foundation concepts into practice. This course shows how to apply concepts such as the service management lifecycle to real-world IT scenarios.
Putting ITIL into Practice: DevOps for ITIL Practitioners
Learn how to apply DevOps concepts and ITIL® within an enterprise IT organization. Examine where DevOps and ITIL® intersect and how to adapt each in an enterprise setting.
Putting ITIL® Into Practice: Applying ITIL® 4 Foundation Concepts
Move ITIL® principles into practice. Explore the seven ways framework for applying ITIL® Foundation concepts, with all new content for ITIL® 4.
Python Data Analysis
Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.
Python Data Science Mistakes to Avoid
Learn about the most common mistakes that emerging data scientists make while using Python, as well as how to avoid these missteps in your own work.
Python for Data Science Essential Training Part 1
Learn Python programming for data science. Discover how to clean, transform, analyze, and visualize data, as you build a practical project: an automated web scraper.
Python for Data Science Essential Training Part 2
Learn Python programming for data science. Part 2 describes how to use machine learning to generate predictions and recommendations and automate routine tasks.
Python for Data Science Tips, Tricks, & Techniques
Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more.
Python for Students
Learn programming with Python in this fun and easy-to-follow course designed for high-school and college-age students.
Python Functions for Data Science
Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.
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.