Harvard University Free Online Programming courses 2020
Who did not dreamed of studying at Harvard University? The opinion of the majority of the people is that it is "the best university in the world" and Harvard offers its students and professors unlimited possibilities to study, research, meet people, generate activities and develop academically knowledge.
The most prestigious university in the United States, established in 1636, is known for its aristocracy, which does not correspond only to detailed examples of interviews, background research, and presentation of a proposal, which presents the reason why one might enter Wants, but also with the cost of your registration and tops.
Like most of us, it is impossible for us to pay thousands of US dollars studying at Harvard, but we want to continue our studies with excellent academic quality education, the university decided to release more than 8 courses for programming students And their access is completely free and online, so that the period of social isolation is profitable and we Complete our desire to study in the best university. In addition, everyone has the option of a certificate, if you want to prove your training.
List of free online programming courses online
What you'll learn
- Principles of 2D and 3D graphics, animation, sound, and collision detection
- Unity and LÖVE 2D
- Lua, C#
- Basics of game design and development
Course description
In a quest to understand how video games themselves are implemented, you'll explore the design of such childhood games as: Super Mario Bros., Pong, Flappy Bird, Breakout, Match 3, Legend of Zelda, Angry Birds, Pokémon, 3D Helicopter Game, Dreadhalls, and Portal.
Via lectures and hands-on projects, the course explores principles of 2D and 3D graphics, animation, sound, and collision detection using frameworks like Unity and LÖVE 2D, as well as languages like Lua and C#. By class’s end, you'll have programmed several of your own games and gained a thorough understanding of the basics of game design and development.
2. CS50's Mobile App Development with React Native
What you'll learn
- JavaScript
- ES6
- React, JSX
- Components, Props, State, Style
- Components, Views, User Input
- Debugging
Course description
This course picks up where CS50 leaves off, transitioning from web development to mobile app development with React Native.
The course introduces you to modern JavaScript (including ES6 and ES7) as well as to JSX, a JavaScript extension. Through hands-on projects, you'll gain experience with React and its paradigms, app architecture, and user interfaces. The course culminates in a final project for which you'll implement an app entirely of your own design.
3. CS50's Web Programming with Python and JavaScript
What you'll learn
- Git
- HTML, CSS
- Flask
- SQL
- APIs
- JavaScript
Course description
Topics include database design, scalability, security, and user experience. Through hands-on projects, you'll learn to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. By course's end, you'll emerge with knowledge and experience in principles, languages, and tools that empower you to design and deploy applications on the Internet.
4. CS50: Introduction to Computer Science
What you'll learn
- A broad and robust understanding of computer science and programming
- How to think algorithmically and solve programming problems efficiently
- Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development
- Familiarity in a number of languages, including C, PHP, and JavaScript plus SQL, CSS, and HTML
- How to engage with a vibrant community of like-minded learners from all levels of experience
- How to develop and present a final programming project to your peers
Course description
This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience.
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. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming.
As of Fall 2015, the on-campus version of CS50x, CS50, was Harvard's largest course.
5. CS50's Introduction to Artificial Intelligence with Python
What you'll learn
- Graph search algorithms
- Reinforcement learning
- Machine learning
- Artificial intelligence principles
- How to design intelligent systems
- How to use AI in Python programs
Course description
AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.
CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.
6.Using Python for Research
What you'll learn
- Python 3 programming basics (a review)
- Python tools (e.g., NumPy and SciPy modules) for research applications
- How to apply Python research tools in practical settings
Course description
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.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
This run of the course includes revised assessments and a new module on machine learning.
7. Data Science: Machine Learning
What you'll learn
- The basics of machine learning
- How to perform cross-validation to avoid overtraining
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful
Course description
Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
8. CS50 for Lawyers
What you'll learn
- Challenges at the Intersection of Law and Technology
- Computational Thinking
- Programming Languages
- Algorithms, Data Structures
- Cryptography
- Cybersecurity
Course description
This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students). Whereas CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and implementation details thereof, this course takes a top-down approach, emphasizing mastery of high-level concepts and design decisions related thereto. Ultimately, it equips students with a deeper understanding of the legal implications of technological decisions made by clients.
Through a mix of technical instruction and discussion of case studies, this course empowers students to be informed contributors to technology-driven conversations. In addition, it prepares students to formulate technology-informed legal arguments and opinions. Along the way, it equips students with hands-on experience with Python and SQL, languages via which they can mine data for answers themselves.
Topics include algorithms, cloud computing, databases, networking, privacy, programming, scalability, security, and more, with a particular emphasis on understanding how the work developers do and the technological solutions they employ may impact clients. Students emerge from this course with a first-hand appreciation of how it all works and all the more confident in the factors that should guide their decision-making.
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