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.

Learn ITIL®-endorsed problem management techniques for preventing and resolving problems underlying interruptions in IT services.

Move ITIL® principles into practice. Explore the seven ways framework for applying ITIL® Foundation concepts, with all new content for ITIL® 4.

Learn how to quickly automate your network using Netmiko, a Python library that simplifies SSH connections to network devices.

Learn how to automate your web UI testing with Python and Selenium.

Get started with Python. Learn the basics of this highly readable language and explore the differences between Python and Java.

Want to test your Python skills? These concise, self-contained challenges let you stretch your brain and test your talents.

Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.

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.

Visually study the relationship of data structures and algorithms. Learn how stacks, queues, and 2D lists are used with depth-first, breadth-first, and A-star search algorithms.

Rock your next technical interview by learning how to communicate your understanding of linked lists.

Rock your next technical interview. Learn about the top three linear data structures—stacks, queues, and deque—and build your own data structures in Python.

Learn about binary search trees in Python and how to create, navigate, modify, and use them in a real-world context.

Learn how to use dictionaries to store and retrieve unordered data in Python.

In this course, instructor Mridu Bhatnagar takes you through the basics of using Python sets and frozen sets. If you’re in the early stages of your Python programming career, or if you just need a refresher, join Mridu as she discusses the basic mechanics and functions of these data structures. Mridu gives a high-level overview of sets and frozen sets and then dives into the various methods to work with them. She discusses use cases and topics like how to modify a set and use built-in functions. Mridu also provides challenge and solution videos to test your knowledge as you go along. If you’re looking to learn important aspects about sets and frozen sets in Python, without jumping into a long project-based course, Mridu’s course is for you.

Learn how to use four essential libraries that every Python developer should consider for common development scenarios: Pendulum, Requests, PyFilesystem, and Pillow.

Review the syntax of this simple programming language, and learn how to write scripts, create modules, and integrate a database with Python 3 and the Python database API.

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.

Learn Python programming for data science. Part 2 describes how to use machine learning to generate predictions and recommendations and automate routine tasks.

Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more.