The editors at Solutions Review have compiled this list of the best Python courses on LinkedIn Learning to consider taking.
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, the editors at Solutions Review have compiled this list of the best Python courses on LinkedIn Learning to consider taking. The platform is perfect for those looking to take multiple courses or acquire skills in different areas, or for those who want the most in-depth experience possible through access to LinkedIn Learning’s entire course library or learning paths. In sum, LinkedIn Learning offers training in more than 13 distinct categories with thousands of modules. This list of the best Python courses on LinkedIn Learning below includes links to the modules and our take on each.
The Best Python Courses on LinkedIn Learning
TITLE: Learning Python
OUR TAKE: Instructed by a Senior Developer Advocate at Google, this course will show you the basics of Python. This module has the most engagement of any Python course on the platform.
Description: Whether you’re new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.GO TO TRAINING
TITLE: Python Essential Training
OUR TAKE: With instruction from programming expert Bill Weinman, this course will teach you a great background on Python. It also introduces the Python module system and shows examples of scripting in a real-world setting.
Description: In this course, Bill Weinman demonstrates how to use Python 3 to create well-designed scripts and maintain existing projects. This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions. Learn how types and values are related to objects; how to use control statements, loops, and functions; and how to work with generators and decorators.GO TO TRAINING
TITLE: Python: Design Patterns
OUR TAKE: Penn State professor Jungwoo Ryoo shows you how to understand design patterns by working with creational, structural and behavioral patterns. The module also provides best practices for consistency, completeness, and correctness.
Description: This course is a look at traditional design patterns as applied to Python. Jungwoo Ryoo covers 15 essential creational, structural, and behavioral patterns to help you solve common coding challenges, while introducing best practices that will keep your solutions consistent, complete, and correct.GO TO TRAINING
TITLE: Using Python with Excel
OUR TAKE: Created by Madecraft, this module will show you how to load, save, filter and sort data with pandas and format workbooks with openpyxl. It also offers sections on converting data and advanced graphing.
Description: In this course from Madecraft, you can learn how to combine the power of the Python language with the data analysis and reporting tools in Microsoft Excel. Discover how to leverage the pandas and openpyxl libraries to inspect, filter, clean, and convert data and how to build solid reports that help businesses take action. By the end of this course, viewers will learn how this combination of tools can lead businesses to better insights than ever before.GO TO TRAINING
OUR TAKE: Taught by a data scientist at Intel, this training covers Python, predictive analytics and data modeling. By the end of it, you will be able to utilize libraries like panda and numPy to choose prediction models.
Description: Join Isil Berkun, data scientist, to explore predictive analytics with Python. She describes what models to use when, and explains the concepts in such a way that you can immediately apply them to your own work. By the end of the course, you’ll be able to leverage Python libraries like pandas and NumPy and choose the right prediction models for your projects.GO TO TRAINING
OUR TAKE: With instruction by software developer Kathryn Hodge, this Python training will teach you a variety of skills like mathematical functions, using the math module, formatting dates and times with datetime, and creating a timer.
Description: In this Python 3 course, follow Kathryn Hodge as she walks through the Python standard library. Discover how familiarizing yourself with its facilities can make writing code in this concise, elegant language a little easier. Familiarize yourself with the library’s built-in functions, math modules, and input and output modules. Learn how to get information from the Internet with the HTTP module, and more.GO TO TRAINING
OUR TAKE: Learning objectives for this course include analyzing SQL Server data with Python, installing Machine Learning Services, writing Python scripts for SQL Server, and producing graphics with Matplotlib.
Description: Database expert Adam Wilbert shows how to use a powerful combination of tools, including high-performance Python libraries and the Machine Learning Services add-on, directly inside SQL Server to streamline analysis. Adam shows how to use Python scripts to perform statistical analysis, generate graphics such as scatterplots and bar charts, and process tabular data. He also explains how to turn a Python script into a stored procedure and set up standalone ML services to execute scripts without impacting SQL Server performance.GO TO TRAINING
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