Apply Here: Free Harvard Online Courses

Today will look at some Free Harvard Online Courses in technology and programming.

The best thing about Harvard University is that it is committed to superiority in teaching, learning, research, and developing leaders in many professions who make a difference worldwide.
Let’s explore some Free Harvard Online Courses.

Some Top Harvard Online Courses Free

Data Science: R Basics Free Course

The Data Science: R Basics Course course will teach you the fundamentals required for R programming. You’ll be able to retain R better when you master it to tackle a specific issue. You’ll work with an actual data set of crime statistics within the United States. Learn the R abilities needed to answer important questions about the different patterns in the level of crime between states.

It’s a Harvard Free Course that will go over the functions of R and the data types. It will then look at how to work with vectors and the best way to utilize advanced functions such as sorting. Learn to apply basic programming tools such as if-else and loop commands and analyze, wrangle, and display data.

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CS50’s Introduction to Computer Science Free Course

It will be CS50x which is Harvard University’s first introduction to the computational sciences and programming to students of all majors, regardless of previous programming prior experience. An entry-level course with instructor David J. Malan, CS50x, helps students think mathematically and efficiently solve problems. Topics covered include abstraction algorithmic, data structures, algorithms and encapsulation, resource management, the security of software engineering, and web-based development. Languages covered include C, Python, SQL, JavaScript, CSS, and HTML. Problem sets that are based on the real-world applications of cryptography, biology, financial forensics, forensics, and gaming. 

Students who achieve a satisfactory score on the nine problem sets (i.e., programming assignments) and a final project can be awarded the award of a certificate. It is a self-paced course in which you can complete CS50x on your own time.

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CS50’s Introduction to Game Development Free Course

Before everything to understand how video games are created. You’ll look at the development of the most popular games from childhood like Super Mario Bros, Pong, Flappy Bird, Breakout, Legend of Zelda, Angry Birds, Pokemon, 3D Helicopter Game Dreadhalls, Portal.

Through lectures and hands-on activities, the course focuses on 2D and 3D animation fundamentals, graphics, and sound. It will also focus on collision detection with Unity and LOVE 2D frameworks and languages like Lua and C#. By the time the course is over, you’ll have developed a number of games of your own and have a solid knowledge of the fundamentals of game development and design.

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Using Python for Research Free Course

This Using Python for Research course is a bridge between the introductory and advanced classes in Python. However, there are a variety of fantastic beginning Python courses to choose from. They don’t go far enough to enable students to use their Python abilities for research assignments. Following studying the fundamentals and concepts of Python 3, the course will also cover the commonly used tools in research environments. This course has a new module that focuses on statistical learning.

Utilizing a mix of a facilitated introduction and deeper exploration, you’ll be able to test your new Python techniques through various examples chosen due to their scientific depth and coverage of various Python features.

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Data Science: Probability Free Course

The course you take is which is part of Harvard’s professional Certificate program in Data Science, and you will master the fundamentals of the field of probability theory. The reason for this course lies in the circumstances that led to the financial crisis that occurred between 2007 and 2008. The main reason for this economic crisis was the risk associated with specific securities that were sold to financial institutions undervalued. In order to comprehend this highly complex event, we must understand the fundamentals of the concept of probability.

The course will teach essential concepts like random variables. It will cover topics like Independence, Monte Carlo simulations, expected values, standard errors, and The Central Limit Theorem. These fundamental concepts of statistics are crucial for conducting statistical tests of data. Determining what data you are analyzing is most likely because of an experiment or random chance.

The probability theory forms the base of statistical inference, which is essential for the analysis of data that is affected by chance and is therefore vital for data researchers.

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Applications of TinyML Free Course

This course provides real-world scenarios taught by industry experts, which explore deployment issues on small or embedded devices.

Explore the code using sensor data to perform tasks like voice recognition and gesture detection and concentrate on the neural network of the apps, specifically on inference and training. And review the algorithms that are the basis of “OK Google,” Alexa,” and smartphones with features for Android as well as Apple. Discover the real-world-related applications that make use of TinyML. It will also cover Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.

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CS50’s Mobile App Development with React Native Free Course

This course continues the place CS50 starts, transferring into mobile application development using React Native.

The course will introduce you to the latest versions of JavaScript (including ES6 and ES7) in addition to JSX, the JavaScript extension. Through hands-on work, you’ll learn about React and its various paradigms, as well as app architecture along with user interfaces. The course will culminate in an end-of-course project in which you’ll create an application that is entirely your personal concept.

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Data Science: Machine Learning Free Course

This course is part of the Professional Certificate program in Data Science. You will master popular machine learning algorithms’ principal component analysis and regularization by creating an algorithm for movie recommendations.

In this course, you will learn about training data and how to utilize an array of data to identify possible predictive connections. When you create an algorithm for movie recommendations, you will discover methods to develop algorithms with the training data in order to determine the outcomes for future data sets. Additionally, you will be taught about the dangers of overtraining and methods to prevent it, such as cross-validation. These are all crucial to machine learning.

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CS50’s Introduction to Programming with Scratch

An introduction to programming with Scratch, which is a visual programming language through which future programmers can write code simply by dropping and dragging graphical blocks instead of writing text. The language was introduced at the beginning of Harvard College’s first program in Computer Science, CS50, and Scratch; the MIT Media Lab developed the program. It is for empowering students without prior programming knowledge to create their animations, interactive art, games, and even stories. Making use of Scratch, the course will guide students to the fundamentals of programming. It is not just in Scratch as a whole, but in more conventional text-based programming languages (like Java and Python) too.

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