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edX: Computing for Data Analysis

 with  Richard W. Vuduc

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.

1 Student
review
Cost Free Online Course
Pace Upcoming
Subject Data Analysis
Provider edX
Language English
Certificates $500 Certificate Available
Hours 5-10 hours a week
Calendar 15 weeks long

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1 review for edX's Computing for Data Analysis

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a month ago
Spalthoff Daniel dropped 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 Read More
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.
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