The massive open online courses (MOOCs) are the great opportunity to improve your skills or to get the new ones. Want to add Stanford or Oxford certificate to your Linkedin page? Well, you have the chance. But there are 10,000+ MOOCs from over 800 universities are shared on different educational platforms. How to choose the proper course right up your alley? We found the most interesting programming MOOCs that you can enroll this September. Do not miss them!
Courses 1CS50's Introduction to Computer ScienceHarvard University, enroll here You’ve definitely heard about this largest Harvard course. If you haven't, we encourage you to take a look. Suitable for programming newcomers as well as for people with IT experience, the course teaches how to think algorithmically and solve problems efficiently. Prof. David J. Malan present to students topics include algorithms, encapsulation, structures of data, software engineering, resource management, etc. using languages Python, SQL, JavaScript plus CSS, C, and HTML. The course is self-paced and regularly updated. Want to fall in love with programming? You on the right way.
courses-2minMachine LearningStanford University, enroll here It is quite possible that you are using machine learning dozens of times per day without knowing it. Do you want to find out more and even start a career in this area? In this course from Stanford University, you will learn the best machine learning approaches. And, which is very important, you will get practical knowledge on how to apply these approaches to new problems. What is the news in speech recognition, self-driving cars, effective web search? Which are the best innovations in AI practiced in Silicon Valley? All answers you can find here.
courses-3minPython for Data ScienceUC San Diego, enroll here How to use Python, NumPy, Jupyter Notebooks, Pandas, and other tools for solving compelling Data Science problems? The team from San Diego University will share the newest methods in data analyses with students all over the world. This course gives knowledge on how to find answers within large datasets by using Python tools, how to import and explore Big Data and generate easily sharable reports. By learning these skills, you’ll easily find the answers to questions across many societal domains.
courses-4minAn Introduction to Interactive Programming in Python (Part 1)Rice University, enroll here This two-part course is for students without previous programming experience, but knowledge of high school mathematics is required. Here you can find the basics of building simple interactive applications. Students will use Python - the high-level computer language. During the first part of the course, you will study the basic elements of programming and use them to create simple interactive apps.
courses-5minProgramming for Everybody (Getting Started with Python)University of Michigan, enroll here Programming for Everybody is another qualitative course for Python learners, and also beginners-orientated. It can teach everyone the basics of programming and prepare for more advanced IT courses. The only requirement for students is the knowledge in the simplest mathematics. You will study how to construct a program from simple instructions in Python. Also, it is the first step of Python for Everybody Specialization, which you can find here.
Courses2The Analytics EdgeMassachusetts Institute of Technology, enroll here In this challenging class, you will learn how to apply analytics to real-world applications. The future of society has already been transformed by Big Data; do you keep up with the changes? The lecturer will examine real-world examples of how analytics were used to improve a business or even an industry. In these examples, you will learn the main analytics methods such as linear regression, logistic regression, trees, visualization, etc. It is a great chance to give an edge to your career.
Courses3Algorithms SpecializationStanford University, enroll here Here for you the full specialization on “the heart of computer science”. These four courses will be more interesting for students with at least little programming experience. In the IT sphere, algorithms have countless practical applications. After completing this specialization, you will have an understanding of low-level implementation and mathematical details. Your instructor Prof. Tim Roughgarden has been teaching algorithms and their applications at Stanford University since 2004.
courses4GamificationUniversity of Pennsylvania, enroll here Gamification is the using some game elements in non-game spheres, such as business, healthcare, social impact challenges, etc. During the course, you will learn how to apply game design principles in non-game contexts, their influence on an organization or the particular environments. Also, you will find out gamification legitimate limitations, concerns, and dangers you should be aware of. Join course to discover why the gamification is a technique for motivation and why the concept of games is deeper than most people realize.
courses-9minCryptography IStanford University, enroll here What do you know about this indispensable modern tool for protecting information in computer systems? This course will help you to find out how are cryptographic systems working and how to use them correctly in your applications. During the first part of the course, you will learn how two parties who have a shared secret key can communicate securely even under the pressure of third parties. The second part will discuss public-key techniques that let two parties generate a shared secret key. Students will hear about different current problems in the field and work on the real programming projects.
courses-10minFunctional Programming Principles in ScalaÉcole Polytechnique Fédérale de Lausanne, enroll here With the adoption of Scala as the main programming language for many applications, functional programming is becoming more popular nowadays. Scala interoperates with both Java and Javascript. Also, it plays the role of the implementation language of many popular frameworks, such as Apache Spark, Kafka, etc. During this course, you will learn the elements of the functional programming style and find out how to apply them in your apps.