Computing for Data Analysis

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.


Course Objectives:

  • 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.


Recommended Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/ data scientist role.
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Course ID

ED135

Skill Focus

Smart Technology

Instructor(s)

Georgia Institute of Technology

Employee Type

New applicants, Leadership

Method of Delivery

Digital

Estimated Effort

150 hrs

Cost

Audit Free


Certification is paid for $ 500.00 ; Full financial aid available for certification