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GTx: Computing for Data Analysis

3.4 stars
5 ratings

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

Computing for Data Analysis
15 weeks
8–10 hours per week
Instructor-paced
Instructor-led on a course schedule
Free
Optional upgrade available

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About this course

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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.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills:SQL (Programming Language), Data Mining, Jupyter, Numerical Linear Algebra, Data Analysis, R (Programming Language), Python (Programming Language), Data Structures, Mathematical Optimization, Data Processing, Algorithms

What you'll learn

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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.

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Analytics: Essential Tools and Methods MicroMasters Program

Learn more 
Expert instruction
3 graduate-level courses
Instructor-led
Assignments and exams have specific due dates
1 year
9 - 11 hours per week

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