Harvard University is one of the most prestigious and renowned institutions of higher education in the world. It is also one of the most generous and innovative Universities when it comes to offering free online courses to anyone who wants to learn new skills and knowledge. In 2024, Harvard will have a wide range of free programming courses that cover various topics, languages, and frameworks. Whether you are a beginner or an expert, you can find a course that suits your interests and goals. Here are some of the best free programming courses from Harvard in 2024:
In this web programming with Python course, you will cover topics including database architecture, scalability, security, and user experience. Hands-on projects will teach you how to develop and use APIs, construct interactive user interfaces, and use cloud services such as GitHub and Heroku. By the end of the course, you will have gained knowledge and expertise in the principles, languages, and tools required to build and deploy Internet-based applications.
This course bridges the gap between beginner and advanced Python courses. While there are many good beginner Python classes available, most of them do not go in-depth enough to allow you to use your Python knowledge in research projects. In this course, after covering the fundamentals of Python 3, you will learn about tools often used in research contexts. This edition of the course introduces a new module on statistical learning.
Using a combination of a guided introduction and more autonomous in-depth research, you will put your new Python abilities to the test with a variety of case studies chosen for their scientific breadth and coverage of different Python features.
This is an introductory course to programming with Python. In this course, you will learn how to read, write, test, and "debug" code. It is designed for students with or without previous programming expertise who want to learn Python specifically. This course teaches functions, parameters, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. You will also learn how to manage errors, detect and solve problems, and build unit tests; use third-party libraries; verify and extract data using regular expressions; represent real-world things with classes, objects, methods, and attributes; and read and write files. Hands-on chances for plenty of practice. Exercises based on real-world programming difficulties.
There is no software necessary other than a web browser, and you may create code on your own PC or Mac.
Whereas CS50x focuses on computer science in general, as well as programming using C, Python, SQL, and JavaScript, this course, nicknamed CS50P, concentrates solely on Python. CS50P can be taken before, during, or after CS50x. However, CS50x is still an excellent introduction to computer science!
This is an introduction to programming using Scratch, a visual programming language that allows aspiring programmers to build code by dragging and dropping graphical blocks (like puzzle pieces) rather than entering text. This course uses Scratch to expose students to the principles of programming, which may be found not just in Scratch but also in classic text-based languages such as Java and Python.
This course covers topics including functions, which are instructions that perform tasks; return values, which are the results that functions provide; conditions, which allow programmes to decide whether or not to perform some action; loops, which allow programmes to repeat actions; variables, which allow programmes to remember information; and more. Ultimately, this course prepares students for future programming courses.
This is CS50's introduction to databases, which use the SQL language. In this course, you will learn how to create, read, update, and remove data using relational databases, which store information in rows and columns. You will also learn how to represent real-world things and their connections using tables with the right types, triggers, and constraints. You will learn how to normalise data to eliminate redundancies and inaccuracies. Learn how to connect tables using main and foreign keys. Learn how to automate searches using views and speed up searches with indexes. Learn how to integrate SQL with other languages, such as Python and Java. The course begins with SQLite for portability and concludes with introductions to PostgreSQL and MySQL for scalability. Assignments based on real-world datasets.
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