Please note that the verified certificate option for this course is limited to 250 learners. The verified certificate option will close when this limit is reached.
The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data.
The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques.
In the course, you’ll see how computing and mathematics come together. For instance, “under the hood” of modern data analysis lies numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures. Together, they form the foundations of numerical and data-intensive computing.
The hands-on component of this course will develop your proficiency with modern analytical tools. You will learn how to mash up Python, R, and SQL through Jupyter notebooks, among other tools. Furthermore, you will apply these tools to a variety of real-world datasets, thereby strengthening your ability to translate principles into practice.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Spalthoff Danieldropped this course, spending 15 hours a week on it and found the course difficulty to be hard.
I dropped out of this course after four weeks, for personal reasons (travel, work). The course was very demanding, but interesting. However, course support was not sufficient. Recitations with tutors were offered, but suitable only for American time zones. Although a second recitation time slot was announced, this was
I dropped out of this course after four weeks, for personal reasons (travel, work). The course was very demanding, but interesting. However, course support was not sufficient. Recitations with tutors were offered, but suitable only for American time zones. Although a second recitation time slot was announced, this was not accessible for edX students. As I found the course very interesting, I will probably give it another try in the future; but I hope the support for edX students will be better.