The editors at Solutions Review have compiled this list of the best Python courses on Pluralsight to consider for growing your skills.
Python is an object-oriented programming language comparable to Perl, Ruby, Scheme, and Java. It utilizes an elegant syntax that makes the programs you write easier to read, and it is ideal for prototype development and other ad-hoc tasks. Python comes with a large standard library that supports many common programming tasks as well, including connecting to web servers, searching text with expressions, and reading and modifying files. The language can be extended by adding new modules as well.
With this in mind, we’ve compiled this list of the best Python courses on Pluralsight and online training to consider if you’re looking to grow your data analytics skills for work or play. This is not an exhaustive list, but one that features the best Pluralsight courses on Udemy and training from trusted online platforms. This list of the best Python courses on Pluralsight below includes links to the modules and our take on each.
The Best Python Courses on Pluralsight
OUR TAKE: With nearly 3,500 reviews, Python Fundamentals gets you started with web development, big data, science, and scripting. It’s suitable for an intermediate learner and touts a duration of more than 5 hours.
Description: Python’s readable style, quick edit-and-run development cycle, and “batteries included” philosophy means that you can sit down and enjoy writing code rather than fighting compilers and thorny syntax. Instructor Robert Smallshire is a founding director of Sixty North, a software product and consulting business based in Norway.
OUR TAKE: With nearly 700 reviews and better than four stars, this top-rated but intermediate Pluralsight training builds on the foundations of the introductory course and features more advanced topics.
Description: On completing this course, you’ll be familiar with the majority of Python techniques and constructs used in Python programs. Crucially, we’ll also advise you on when – and when not – to use the different tools available in Python to best effect, to maximize the quality of your code, your productivity, and the joy inherent in coding in Python.
OUR TAKE: This beginner-friendly course helps you gain an understanding of how to perform machine learning with Python through formatting problems, preparing data, and combining data with algorithms.
Description: By the end of this course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions. And you will understand how to evaluate and improve the performance of the solutions you create. Before you begin, make sure you are already familiar with software development and basic statistics. However, your software experience does not have to be in Python, since you will learn the basics in this course.
OUR TAKE: Featuring instruction from a senior software developer, this course shows you how to easily create desktop applications using Python and Qt. It’s also less than two hours long.
Description: In this course, you will learn how easy it is to write desktop applications using Python and its amazing friend, Qt. Python is famous for being simple yet powerful, and the same is true for Qt; in as little as 50 lines of code, you’ll be able to write a fully functioning application. Not only that, but your application will also run on all major operating systems.
OUR TAKE: This training will teach you the basics of Python while enabling you to create applications that can solve for a wide array of problems. Updated in January 2021, this course offers nearly two hours of content.
Description: In this course, Practical Python for Beginners, you’ll learn to create Python applications to solve a wide variety of problems. First, you’ll explore data types, input, and output. Next, you’ll discover lists, loops, and dictionaries. Finally, you’ll learn how to incorporate what you’ve learned to read weather and space data from different web APIs.
OUR TAKE: This beginner-friendly course will show you how to process raw text data and apply machine learning algorithms. Students review this training highly, and it includes nearly two hours of content.
Description: In this course, Getting Started with Natural Language Processing with Python, you’ll first learn about using the Natural Language Toolkit to pre-process raw text. Next, you’ll learn how to scrape websites for texting using BeautifulSoup, as well as how to auto-summarize text using machine learning. You’ll wrap up the course by exploring how to classify text using machine learning.
NOW READ: The Best Python Certifications Online
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