What is Python?
Python is a general purpose programming language which is used for backend web development, data analysis, artificial intelligence, and scientific computing.
Why learn Python?
Python is beginner-friendly as it closely resembles the English Language and has become one of the most popular programming languages, ranking as the 2nd most in-demand skill on Angel List and fetching the highest average salary offered.
Related Jobs with salaries ranging from $70,000 to $115,000:
To save you the time and trouble, MoocLab has searched the major MOOC platforms to find the best online courses to help you master the Python language and land your dream job.
Click on a course title for more information.
Introduction to Python: Absolute Beginner
By Microsoft via EdX | Introductory Level | 5 weeks, 3 to 4 hours per week
In this course that’s perfect for true beginners, learn Python basics and start coding right away. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately.
Introduction to Python: Fundamentals
By Microsoft via EdX | Introductory Level | 5 weeks, 3 to 4 hours per week
Build on what you learned in the “Introduction to Python: Absolute Beginner” course, and dig into data structure basics. Discover the power of list iteration, and learn about string and list methods. From there, get the details on file input and output—open files, read them, add to them, close them, and more. At the end of the course, you’ll be able to slice strings into substrings, create lists, iterate through them, import files, and use file append mode, along with a lot of other practical Python tasks, as you get started coding.
Python Programming: A Concise Introduction
By Wesleyan University via Coursera | Introductory Level | 4 weeks, 4-5 hours/week
The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept. At the end of each module there will be an exercise where the student is required to write simple programs and submit them for grading. It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.
Introduction to Programming Using Python
By University of Texas at Arlington via EdX | Introductory Level |16 weeks, 6 to 15 hours per week
This course is an introduction to the Python programming language. This course is open to all learners who wish to gain an understanding of the basic components of computer programming. You will learn basic computer programming concepts and terminologies such as variables, constants, operators, expressions, conditional statements, loops, and functions. This Python course includes hands-on exercises to help you understand the components of Python programming while incrementally developing more significant programs. The exercises in this course will be based on small assignments which will relate to real-world problems.
Learn to Code for Data Analysis
By the Open University via Futurelearn | Introductory Level | 4 weeks, 5 hrs per week
This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it, and produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.
Programming Foundations with Python
By Udacity | Introductory Level | 6 weeks
In this introductory programming class, you’ll learn Object-Oriented Programming, a must-have technique for software engineers that will allow you to reuse and share code easily. You’ll learn by doing, and will build byte-sized (ha!) mini projects in each lesson to learn and practice programming concepts.
Python for Everybody Specialization
By the University of Michigan via Coursera | Introductory Level | 5 courses
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Introduction to Scripting in Python Specialization
By Rice University via Coursera | Introductory Level | 4 courses
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
Introduction to Python: Creating Scalable, Robust, Interactive Code
By Microsoft via EdX | Intermediate Level | 5 weeks, 3 to 4 hours per week
Add to your basic Python foundation, as you get hands-on and learn to build reusable, shareable, professional code that lasts. Explore the power of importing Python Libraries into your code. Create Python (.py) files, and work within the file system. Increase the power and precision of your statements through better understanding of objects, operators, and formatting. Plus, make code with robust error handling methods, package your Python files for running in other programs or from the terminal, and provide standard Docstring documentation.
Analytics in Python
By Columbia University via EdX | Intermediate Level | 12 weeks, 8 to 10 hours per week
The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data. In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data. This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.
Using Python for Research
By Harvard University via EdX | Intermediate Level | 5 weeks, 4 to 8 hours per week
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.
Applied Data Science with Python Specialization
By the University of Michigan via Coursera | Intermediate Level | 5 courses
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Programming with Python for Data Science
By Microsoft via EdX | Intermediate Level | 6 weeks, 3 to 4 hours per week
This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.
Python for Data Science
By The University of California, San Diego via EdX | Advanced Level | 10 weeks, 8 to 10 hours per week
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports.
Python is a general purpose programming language which is used for backend web development, data analysis, artificial intelligence, and scientific computing.
Why learn Python?
Python is beginner-friendly as it closely resembles the English Language and has become one of the most popular programming languages, ranking as the 2nd most in-demand skill on Angel List and fetching the highest average salary offered.
Related Jobs with salaries ranging from $70,000 to $115,000:
- Software Engineer
- Research Analyst
- Data Analyst
- Data Scientist
- Software Developer
To save you the time and trouble, MoocLab has searched the major MOOC platforms to find the best online courses to help you master the Python language and land your dream job.
Click on a course title for more information.
Introduction to Python: Absolute Beginner
By Microsoft via EdX | Introductory Level | 5 weeks, 3 to 4 hours per week
In this course that’s perfect for true beginners, learn Python basics and start coding right away. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately.
Introduction to Python: Fundamentals
By Microsoft via EdX | Introductory Level | 5 weeks, 3 to 4 hours per week
Build on what you learned in the “Introduction to Python: Absolute Beginner” course, and dig into data structure basics. Discover the power of list iteration, and learn about string and list methods. From there, get the details on file input and output—open files, read them, add to them, close them, and more. At the end of the course, you’ll be able to slice strings into substrings, create lists, iterate through them, import files, and use file append mode, along with a lot of other practical Python tasks, as you get started coding.
Python Programming: A Concise Introduction
By Wesleyan University via Coursera | Introductory Level | 4 weeks, 4-5 hours/week
The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept. At the end of each module there will be an exercise where the student is required to write simple programs and submit them for grading. It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.
Introduction to Programming Using Python
By University of Texas at Arlington via EdX | Introductory Level |16 weeks, 6 to 15 hours per week
This course is an introduction to the Python programming language. This course is open to all learners who wish to gain an understanding of the basic components of computer programming. You will learn basic computer programming concepts and terminologies such as variables, constants, operators, expressions, conditional statements, loops, and functions. This Python course includes hands-on exercises to help you understand the components of Python programming while incrementally developing more significant programs. The exercises in this course will be based on small assignments which will relate to real-world problems.
Learn to Code for Data Analysis
By the Open University via Futurelearn | Introductory Level | 4 weeks, 5 hrs per week
This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it, and produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.
Programming Foundations with Python
By Udacity | Introductory Level | 6 weeks
In this introductory programming class, you’ll learn Object-Oriented Programming, a must-have technique for software engineers that will allow you to reuse and share code easily. You’ll learn by doing, and will build byte-sized (ha!) mini projects in each lesson to learn and practice programming concepts.
Python for Everybody Specialization
By the University of Michigan via Coursera | Introductory Level | 5 courses
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Introduction to Scripting in Python Specialization
By Rice University via Coursera | Introductory Level | 4 courses
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
Introduction to Python: Creating Scalable, Robust, Interactive Code
By Microsoft via EdX | Intermediate Level | 5 weeks, 3 to 4 hours per week
Add to your basic Python foundation, as you get hands-on and learn to build reusable, shareable, professional code that lasts. Explore the power of importing Python Libraries into your code. Create Python (.py) files, and work within the file system. Increase the power and precision of your statements through better understanding of objects, operators, and formatting. Plus, make code with robust error handling methods, package your Python files for running in other programs or from the terminal, and provide standard Docstring documentation.
Analytics in Python
By Columbia University via EdX | Intermediate Level | 12 weeks, 8 to 10 hours per week
The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data. In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data. This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.
Using Python for Research
By Harvard University via EdX | Intermediate Level | 5 weeks, 4 to 8 hours per week
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.
Applied Data Science with Python Specialization
By the University of Michigan via Coursera | Intermediate Level | 5 courses
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Programming with Python for Data Science
By Microsoft via EdX | Intermediate Level | 6 weeks, 3 to 4 hours per week
This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.
Python for Data Science
By The University of California, San Diego via EdX | Advanced Level | 10 weeks, 8 to 10 hours per week
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports.
