10 Python Courses and Certificate Programs Online

Python is like a bridge that you can cross into various careers like GIS specialists, data engineers, big data analysts, and data scientists.

We’ve collected a list of Python courses and certificate programs that can help you build a more productive workflow for almost any task.

Learn the #1 programming language in the world with the Python courses below.

1. Learn Intermediate Python Nanodegree (Udacity)

Python is one of the most versatile programming languages in the world, powering transformation in data science, machine learning, and more.

If you’re looking to gain practitioner-level skills with Python, the Intermediate Python Nanodegree program is a great choice.

You’ll learn how to streamline the functionality of applications that perform complex tasks such as data mining and functional design.

Take a Course with Udacity

PROS

Enhance your career prospects with intermediate Python skills so you are prepared for the job market.
Be guided through your projects by a technical mentor who has the experience and knowledge to help you avoid pitfalls and achieve success.
Get assistance with a successful CV/resume and LinkedIn profile.

CONS

If you prefer being in the classroom, online learning through Udacity may not be a good fit for you.
Although the course is of very high quality, it is the most costly option. But there is a pay-as-you-go option to give you the incentive to finish your Python certification quickly.

Advanced Python Topics: Attain the knowledge and skills necessary to build a solid understanding of the Python language, its fundamentals, and how it relates to object-based design.

Large Codebases with Libraries: Learn how to write code that can be extended to support large systems by learning the process of creating a scalable framework.

Python in Systems and the Web: Develop and create code for operating systems and interfaces including command line and backend development.

Applied Python Project: Discover the process for creating a new project, choosing how to write your code, and understanding debugging and testing for comets and asteroids in outer space.

Python programming is a highly sought-after skill to have. It is becoming a staple skill in the tech world, and it’s the Intermediate Python Nanodegree program that can take you to the next level. Getting feedback before taking action can help avoid many difficulties later in your workflow. By the end of the program, you will have a strong portfolio demonstrating your ability to utilize practical Python skills in the workforce.

Instructor	Udacity
Duration	2 Months (At 10 hours/week)
Certification	Intermediate Python Nanodegree
Prerequisites	Basic Python
Skills	Intermediate Python, Object-Oriented Programming, Flask, Applied Python Project

2. Python Fundamentals (DataCamp)

DataCamp’s Python Fundamentals skill track is the perfect track for beginners who want to start learning this programming language.

In this course, you’ll learn how to clean and analyze data, use data visualization libraries, and write your own Python functions.

With these essential Python skills under your belt, you’ll be ready to take on any data science challenge that comes your way.

Take a Course with DataCamp

PROS

Great instruction (Hugo) in a well-structured close outline.
Helps build a solid foundation in Python, data science, and visualization.
Wide variety of libraries such as Matplotlib, NumPy, and Pandas.

CONS

Lack of student support assistance upon graduation.
Less intensive course load without an applied project to wrap up your knowledge in Python.

Introduction to Python: This is a beginner’s guide that teaches the basics of data analysis in Python. It also covers scientific computing with NumPy, which makes it easy for you to manage large amounts of data.

Intermediate Python: Intermediate Python is a course that teaches data science skills using Matplotlib. It also uses Pandas to manipulate DataFrames, which are two of the most fundamental tools in the realm of data analysis and visualization.

Python Data Science Toolbox (Part 1): It provides a gentle introduction that teaches readers about key concepts like scoping and error handling, as well as writing their own functions in order to create reusable code blocks.

Python Data Science Toolbox (Part 2): Learn how to use iterators, which are an important part of many programming languages. They allow you to step through your data without having to explicitly loop over it. Plus, they provide a mechanism for accessing individual items in the sequence or list.

Start your data science journey by learning Python Fundamentals with DataCamp and stand out from the crowd. With hands-on coding exercises, you’ll gain experience working with data using NumPy.

Then, you will move on to more advanced topics. For instance, this includes topics like data visualization with Matplotlib, manipulating DataFrames and dictionaries with Pandas, and writing your own functions.

Instructor	DataCamp
Duration	15 Hours
Certification	Python Fundamentals
Material	5 Courses
Skills	Python, Matplotlib, NumPy, and Pandas

3. Data Analyst in Python (Dataquest)

The Data Analyst in Python program from Dataquest will teach you a range of Python skills.

From basic programming concepts to more advanced topics, it covers concepts like data types, functions, and object-oriented programming.

It totals 5 modules and a total of 19 skill-building projects.

Take a Course with Dataquest

PROS

Enroll for free to see if you like the format of the courses.
Get your hands dirty by actually coding in Python.
It includes 19 challenging projects to beef up your portfolio.
If you’re just starting out, it is a great way to familiarize yourself with Python.

CONS

Some concepts need more video instructions.
Support can be difficult as Dataquest uses a ticket system.

Introduction to Python Programming: These are basic Python concepts that form a part of any computer science curriculum. The topics covered include lists, dictionaries, variables, and basic syntax.

Intermediate Python and Pandas: This is an introductory-level course that introduces fundamental libraries like NumPy, Pandas, Seaborn, and Matplotlib.

Data Cleaning in Python: Students will get a walk-through on how to clean data which includes a project to practice your skills.

The Command Line: Learn how to use Bash and text processing with the command line.

Working with Data Sources: Practice using SQL and use APIs for web scraping to acquire data from online sources.

Probability and Statistics: In this course, you’ll familiarize yourself with statistical concepts like probabilities, Bayes’s theorem, and Naive Bayes.

The Data Analyst in Python program is the total package for you to become proficient in this programming language. You can challenge yourself and showcase your path certification upon completion.

Instructor	Dataquest
Duration	7 months (10 hours per week)
Certification	Data Analyst in Python
Level	Beginner (No prior experience required)
Skills	Python, Structured Query Language (SQL), NumPy, Pandas, Seaborn, and Matplotlib.

4. Professional Certificate in Python Data Science (IBM)

The Professional Certificate in Python Data Science (IBM) is one of the best Python certificate options today.

Learning to program with this certification will give you the flexibility and versatility that comes with being able to code for everything, from predictive modeling to machine learning.

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PROS

Get certified by IBM, a world leader in data science.
Enroll in a cost-effective and convenient education to further your Python programming skills.
No prior computer programming experience required

CONS

Catered to IBM products like the use of IBM Cloud and Watson.
Although this is a thorough course in learning Python, it may be too long of a timeline for some students.

Python Basics for Data Science: Study how to work with Python on your own, allowing you to easily incorporate Python into your own data science projects.

Data Analysis and Visualization: This course will teach you how to manipulate data in pandas, analyze, and visualize it in a Python environment.

Machine Learning with Python: Learn how to leverage machine learning to extract actionable insights with supervised and unsupervised learning.

Data Science and Machine Learning Capstone Project: This Capstone Project will not only showcase the skills you learned for a variety of techniques but will also provide you with an applied business situation for predictive modeling.

For anyone who is interested in data science, learning Python is a good place to start. And if you’re looking to learn both these skills, the Professional Certificate in Python Data Science from IBM gives you hands-on learning from experts at IBM and a variety of different skill sets you can use in your career.

Instructor	IBM
Duration	6 months
Certification	Professional Certificate in Python Data Science
Material	6 skill-building courses
Skills	Python, Jupyter Notebooks, Pandas, Numpy, Matplotlib, Folium, Seaborn, Scipy, and Scikit Learn

5. Professional Certificate in Introduction to Python Programming (Georgia Tech)

The Professional Certificate in Introduction to Python Programming offered by Georgia Tech is a 5-course program to learn the fundamentals of Python Programming.

By taking this course, you will learn how to code in Python efficiently and advance your skill set in computer science.

Take a Course with Georgia Tech

PROS

For anyone interested in Python development, this program is a great start.
Focuses on learning the fundamentals of computer science with a focus on Python.

CONS

Lacks student service support in resume/CV for job opportunities.
Insufficient integration into machine learning or other Python libraries.
No capstone project that encompasses all course material.

Procedural Programming in Python: Get started with coding and writing your own program from scratch. You can interact with the core concepts of programming, including creating variables, operators, and more.

Control Structures in Python: Understand how to handle errors in Python, loops, conditional statements, and functions.

Data Structures: Take your programming to a new level by learning more complex ways of handling data, including files, lists, and dictionaries.

Objects & Algorithms: Learn new algorithms and gain a better understanding of the underlying principles of computer science.

From beginner to proficient level of programming, the Professional Certificate in Introduction to Python Programming delivers the core concepts of programming.

This certificate is designed for those with little or no experience and provides an introduction to computer science fundamentals through hands-on learning.

Instructor	Georgia Tech
Duration	5 months (9 to 10 hours per week)
Certification	Professional Certificate in Introduction to Python Programming
Material	4 skill-building courses
Skills	Core skills in Python and Object-oriented programming

6. Programming for Data Science with Python Nanodegree (Udacity)

It’s no secret that data science is one of the most sought-after skills in the market today. But it’s hard to know where to learn the necessary skills.

Fortunately, the Programming for Data Science with Python Nanodegree program can teach you everything from Python, SQL, command line, and Git.

Take a Course with Udacity

PROS

Top-notch instructions and content co-created by Mode, the collaborative data science platform.
Receive technical mentor support and participate in an active community of student support.
Flexible payment options with pay-as-you-go.

CONS

Highly challenging material and applied project.
No introduction to machine learning and integration with Python.

Introduction to SQL: Learn how to use SQL as a data manipulation language for databases to gain business insights.

Python Programming Introduction: If you are new to Python programming, but still may have some experience with another language, this course will help you get up and running with Python to solve a variety of problems through libraries like NumPy and Pandas.

Introduction to Version Control: Collaborate on a project using version control and learn why it is a critical tool in the data science process.

Applied Python Project: Apply the knowledge you’ve learned throughout the course with a hands-on project involving data collection, descriptive statistics, and data science.

The Programming for Data Science with Python Nanodegree by Udacity teaches you how to take raw data and analyze it in different ways so you can make informed decisions.

Data scientists have the ability to create innovative solutions through data science tools like Python, SQL, and command line, which you can obtain from this program.

Instructor	Udacity
Duration	3 Months (At 10 hours/week)
Certification	Programming for Data Science with Python Nanodegree
Prerequisites	None
Skills	Python, PostgreSQL, SQL, Github, Command line, NumPy, and Pandas

7. IT Automation with Python Professional Certificate (Google)

How can you best prepare yourself for a future in the IT industry?

The Google IT Automation with Python Professional Certificate is perfect for those who would like to learn the basics of Python programming and automation, related to solving problems in the profession of IT.

Take a Course with Google

PROS

Learn all the core concepts like variables, loops, and functions to build your first program.
Industry expert instruction in automation and Python.
Applied learning project for hands-on experience.
The course is not tailored to Google products.

CONS

The course leverages several Python libraries but it’s geared more toward the field of IT automation (not data science)

Python Usage for Operating Systems: There are many ways to use Python. One of those ways is using it for operating systems. This course explores the different ways of using Python to handle operating system management and automation.

Github Introduction: Github allows programmers to store their code in a repository for versioning control. You’ll learn how it also provides tools for project management and collaboration for any organization.

Cloud Configuration: This course helps you automate the process of deploying new computers, and managing changes to large-scale environments, as well as in the cloud.

Python Automation: You will further explore external modules in Python and their usage to alleviate automating take related to IT.

IT automation has come to be standard practice for many companies. Python is one programming language that can automate many tasks for cost reduction, efficiency improvement, and quality control.

The Google IT Automation with Python Professional Certificate is your primer on troubleshooting, debugging, and applying automation at any scale.

Instructor	Google
Duration	8 months (5 hours per week)
Certification	Python for Everybody Specialization
Level	Beginner (No prior experience required)
Skills	Python, Troubleshooting, Debugging, RegEx, and Python Image Library (PIL)

8. Python 3 Programming Specialization (University of Michigan)

The Python 3 Programming Specialization introduces you to the basics of this popular programming language.

The course provides a number of unique features that will help you learn how to code quickly such as handling variables, loops, and class inheritance.

Once you’ve mastered the material in this course, you’ll be ready to start a Capstone Project to bring your skills together.

Take a Course with U of Michigan

PROS

Interact with 3 different libraries for the Python-related Capstone Project.
The next step forward after learning the fundamentals of Python with me hands-on learning.

CONS

A bit more demanding and expects a good level of Python knowledge from the start. But overall, it’s a great hands-on course.

Python Basics: While Python is primarily used by programmers and developers, anyone can benefit from learning Python basics, as it makes it easier to work with texts, graphics, and scientific data in an intuitive way. In this course, you get an introduction to the basics like its control structures and learn how to program a turtle that can draw pictures.

Python Functions, Files, and Dictionaries: Python offers many different ways to store and work with data. Each of these storage methods has its own pros and cons, so it’s best to know what your needs are before committing to one. This Python course will teach you how to use functions, files, and dictionaries.

Data Collection and Processing: You will understand how to use REST APIs to fetch information from the internet. Then, you will build a tag recommendation tool in your final project.

Python Classes and Inheritance: This course teaches you about classes which are defined as groups of related data and functions that can be used by other programs or objects. One of the most important benefits of programming in this way is that the code for individual classes does not need to be duplicated, making it easier to maintain and reuse.

Applied Python Project: For the final course, you will develop a hands-on project involving the use of three Python libraries. There’s no better way of putting your knowledge together, than through an applied project that tests your skills.

You will harness everything from querying internet APIs to putting it all into practice with a final project. The Python 3 Programming Specialization offers both practical experience and a bit of theory side by side in a comprehensive program.

Instructor	University of Michigan
Duration	5 months (7 hours per week)
Certification	Python 3 Programming Specialization
Level	Beginner (No prior experience required)
Skills	Python, Python imaging library (pillow), Tesseract, and OpenCV

9. AI Programming for Data Science with Python (Udacity)

The AI Programming for Data Science with Python from Udacity will help you learn the foundations of AI from industry experts.

With Python and AI as tools in your toolbelt, you’ll learn everything from how to get started building your own neural network, linear algebra, to calculus fundamentals.

Take a Course with Udacity

PROS

Wide variety of Python libraries as course materials provided by experts in AI.
LinkedIn profile optimization and resume/CV support.
Active discussion forums with a well-built interface.

CONS

The requirement is to already have basic knowledge of algebra, and basic programming in any language.
Focuses on theory (linear algebra and calculus) with hands-on skill-building.

Introduction to Python: Explore how you can take advantage of Python libraries and automation scripts to quickly solve complex problems. Other than the basics, you can also find out about some useful libraries for your projects.

Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib: Jupyter notebooks make it easy to work with data and use the power of Python’s built-in libraries. This course explores how to get started using Jupyter notebooks as well as NumPy, Pandas, Matplotlib, and Anaconda.

Linear Algebra Essentials: Linear algebra is a branch of mathematics that focuses on vectors and matrices and their relationship to linear transformations. It can also be applied to many fields, but it’s particularly useful for artificial intelligence, specifically neural networks.

Calculus Essentials: Explore the fundamental concepts of calculus and how it relates to neural networks such as plotting, integrals, and derivatives.

Take a deep dive into artificial intelligence with AI Programming for Data Science with Python from Udacity.

Whether it’s the math behind it or learning the essential techniques behind it, you’ll learn a wealth of information and tools that make artificial intelligence a catalyst for some of the major technological innovations today.

Instructor	Udacity
Duration	3 Months (At 10 hours/week)
Certification	AI Programming for Data Science with Python
Prerequisites	Basic Algebra and Programming Knowledge
Skills	Python, Jupyter Notebooks, NumPy, PyTorch, Anaconda, pandas, Linear Algebra, Calculus, and Matplotlib

10. XSeries Program in Computational Thinking using Python (MIT)

It’s hard to put MIT at the bottom of any list. But there are a lot of great options for learning Python.

The XSeries Program in Computational Thinking using Python will guide you through the basics of Python programming and show you how to help people with no prior exposure to computer science or software development.

This 2-course program is intended for novices who are new to computer science or programming.

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PROS

Taught by one of the leading schools in technology, the Massachusetts Institute of Technology (MIT).
Great overview of concepts like data structures, algorithms, and debugging.

CONS

Consists of just 2 courses without any programming skills gained.
Consider this just a taste tester to see if you will be interested in Python programming.

Introduction to Computer Science and Programming Using Python: This Python course introduces you to the fundamentals of programming and how it can help your business, schoolwork, or personal life in many ways.

Introduction to Computational Thinking and Data Science: The goal of this course is for students to become familiar with the concepts, tools, and techniques that are used in computational science including data analysis, visualization, and modeling as well as basic programming skills.

The XSeries Program in Computational Thinking using Python is for students who are interested in learning how programming works and touches on algorithms, testing, and debugging.

In addition, it includes a review of concepts such as data structures in Python and other introductory concepts.

Instructor	Massachusetts Institute of Technology (MIT)
Duration	5 months (14 to 16 hours per week)
Certification	XSeries Program in Computational Thinking using Python
Material	2 high-quality courses
Skills	Overview of Python and concepts

Python Courses and Certificate Programs

Python is one of the most versatile programming languages in the world. As you could see today, we use it in a variety of industries for automation, data visualization, machine learning, and analysis.

If you want to be a proficient programmer, then it makes sense that mastering this skill will improve your skillset and increase your employability.

Enroll in one of these Python training courses today and learn the top programming language in the world.