The editors of Solutions Review have compiled this list of the best Python courses on Coursera to consider to develop your skills.
Python is an object-oriented programming language comparable to Perl, Ruby, Scheme, and Java. It uses elegant syntax that makes the programs you write easier to read, and it’s ideal for prototype development and other ad hoc tasks. Python comes with a large standard library that also supports many common programming tasks, including connecting to web servers, finding text with expressions, and reading and editing files. The language can also be extended by adding new modules.
With that in mind, we’ve compiled this list of the best Python courses on Coursera and online training to consider if you’re looking to develop your data analysis skills for work or play. This is not a list. exhaustive, but a list that features the best Python courses on Coursera and training from trusted online platforms. This list of the best Python courses on Coursera below includes links to the modules and our take on each.
The best Python courses on Coursera
OUR OPINION : The course has no pre-requisites and avoids everything except the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this University of Michigan course.
The description: This course aims to teach all the basics of computer programming in Python. The instructors cover the basics of building a program from a series of simple Python instructions. This course will cover chapters 1 to 5 of the manual Python for everyone. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
OUR OPINION : This course shows you how to extract, analyze, and read web data, as well as access the data using web APIs. Students will work with HTML, XML and JSON data formats in Python.
The description: This course will cover chapters 11-13 of the manual Python for everyone. To pass this course, you must be familiar with the material covered in chapters 1 to 10 of the manual such as variables and expressions, conditional execution (loops, branching and try / except), functions, data structures Python (strings, lists, dictionaries and tuples) and manipulate files
OUR OPINION : By the end of this course, you will understand the benefits of programming in IT roles, be able to write a simple program, and understand how the building blocks of programming fit together.
The description: This course is designed to teach you the basics of writing simple programs in Python using the most common structures. No prior programming knowledge is required. Students begin by delving into the basics of writing a computer program. Along the way, you will gain hands-on experience of programming concepts through interactive exercises and real-life examples.
OUR OPINION : No previous experience is necessary to complete this training, which will show you how to create basic programs, work with data, and solve real-world problems in Python. More than 13 percent saw a tangible career benefit.
The description: Start your learning of Python for data science, as well as programming in general, with this introduction to Python for beginners. This course will take you from zero to programming in Python in a matter of hours – no previous programming experience is necessary! You will learn the fundamentals of Python including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
OUR OPINION : Coursera’s first class Python 3 Programming Specialization, this training is ideal for beginners and those who need a refresher. The module has no prerequisites so all skill levels are welcome.
The description: This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You will program a turtle on the screen to draw cute pictures and also learn how to draw reference diagrams as a way of reasoning about program executions, which will help you develop your debugging skills.
OUR OPINION : This entry-level training lasts approximately 13 hours and covers topics such as importing data, cleaning it up, manipulating data frames, synthesizing data, and building machine learning regression models.
The description: Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyzes, create meaningful data visualizations, predict future trends from the data, and more! Data analysis with Python will be delivered through lectures, practicals and works
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