Programming for Everybody Getting Started with Python Course by University of Michigan

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching.

This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles. You’ll dive into common data types like strings, dictionaries, tuples, and lists. You’ll know how to extract certain values from them and how to modify them. There is also an optional section on object-oriented programming, where you’ll learn about classes and their instances, attributes, methods, and inheritance. You’ll know how to write variables and expressions to store and compute values, which can be of different data types.

CS50’s Introduction to Programming with Python

You’ll know how and why you can use conditional statements to specify branching conditions in your code. You’ll be taught about functions and arguments, and how to leverage them for code reuse. Last but not least, you’ll understand what loops and iterations do. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

There’ll be final project that you’ll have to complete as a verified learner. You’ll learn how to use diagrams to make sense of inheritance, a skill that could be useful later down the road if you ever find yourself planning larger-scale coding projects. At the end of the course, you’ll import your first Python package, NumPy. NumPy is a popular Python package used by data scientists and analysts. You’ll learn the difference between NumPy arrays and regular Python lists, and you’ll see how easy it is to compute and analyze data with NumPy. So if you’d like to learn Python with the ultimate goal of jumping into data science, or if you want to see what data science is all about, this could be an excellent course for you.

Regular Expressions

Then, you’ll learn what local and global variables are, which will culminate in you building a simple responsive graphical user interface for a number guessing game. Python is a general-purpose programming language that puts simplicity above all else. It eases the programming process by hiding the ugly details like memory management and code boilerplate, and instead opts for friendly, human-readable code. It is easy to understand, so it’s one of the best languages for beginners to learn. Learn basic Python syntax, to use control flow and loops and work with functions and data structures.

We’ll then dive into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world. We asked all learners to give feedback on our instructors based on the quality of their teaching style. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information. A gentle introduction to programming that prepares you for subsequent courses in coding.

See how employees at top companies are mastering in-demand skills

Your Python instructor (Andrei) isn’t just an expert with years of real-world professional experience. You then move on to more advanced stuff and then build excellent projects. Andrei explains the concepts well and lays the foundation for you to build on.

• Regarding assignments, at the end of each week you’ll have to complete a graded assignment.
• This module explains the basics of working with data in Python and begins the path with learning how to read and write files.
• I have been recommending it to many people so that they don’t have to make the mistake I did and waste their time on another course.
• Why is it so easy for a computer to not do what you tell it to do?

Second, we used our experience as online learners to evaluate each of our preliminary picks. We started by leveraging the database to make a preliminary selection of Python courses, looking at things like ratings, reviews, and course bookmarks. So this was a purely data-driven step, relying on hard metrics to create an initial ranking that we could then iterate upon and expand. Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. Learn to use machine learning in Python in this introductory course on artificial intelligence.

Using Python for Research

In terms of prerequisites, you want to have some knowledge of high school algebra and be willing to stomach some math, because this computer science course doesn’t shy away from that. The main aim of the course is to provide students with a brief introduction to a variety of topics in computer science, focusing on breadth rather than depth. This is to give students a sense of what is possible when thinking about using computation to accomplish specific goals, be it in your studies or career. In total, the certification may take up to 300 hours to complete, but if you already know some of the rudiments of programming, it might take you half as long. A word of caution, though – this beginner course isn’t meant to be easy.

You’ll also learn about documenting with docstrings, how to navigate and use Jupyter notebooks, and how to import and use Python modules in your code. The course is split into 5 weeks, with each week involving around seven to ten hours of material, including a weekly project. The course comes with a companion website called CodeSkulptor, where you’ll run and submit your Python scripts.

Get Started with Python

Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, python developer training cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard’s largest course.

It not only gives you the fundamentals, but also gives you a taste of what you can do with the tools you learn. If you are learning programming, this is one of the best courses to take. Our courses and community have helped 1,000s of Zero To Mastery students go from zero to getting hired to levelling up their skills and advancing
their careers to new heights. Not to sound like a broken record but the best way you learn is by doing. That’s why a key part of this course is the real-world projects that you’ll get to build.

This course will push you and challenge you to go from an absolute beginner with no Python coding experience to someone that can go off, forget about us, and build their own applications and get hired 💪. Most importantly, you will learn Python from an industry expert that has actual real-world experience working for top companies in both Silicon Valley and Toronto. They come from all different backgrounds, ages, and experiences. For those who are also interested in programming, in my opinion, CS50 is also a good choice for learning the intro.