Overview
The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data.
Key facts
In the Computing for Data Analysis course at The Georgia Institute of Technology - GTx, 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 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.
Get more details
Visit programme websiteProgramme Structure
What you'll learnThe 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.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 4 months
- 8 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences Data Science & Big Data View 739 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
825 USD/fullTuition FeeBased on the tuition of 825 USD for the full programme during 4 months. -
National
825 USD/fullTuition FeeBased on the tuition of 825 USD for the full programme during 4 months.
- Add a Verified Certificate for $825 USD
- Limited access:free