Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Computing for Data Analysis Certification Course is brought by the online learning platform of the Georgia Institute of Technology, to provide advanced-level learning in the field of Computer Science. The course is a hands-on introduction to the part of analytics, combining both the fields of computer science and mathematics.
A candidate will strengthen the foundations of data-intensive computing and numerical related to computing through the course. The programme is aimed at the candidate to develop a new process of thought regarding basic principles related to programming that will also assist them in practising relevant topics of modern data analysis and learning data mining. The learners can pursue the programme in paid or free audit mode. The paid mode will enable the learners to have unlimited access whereas the free audit mode will provide access only for a limited period.
The Computing for Data Analysis training also teaches the data analysis pipeline and the concepts of machine learning including the pre-processing, storage, and analysis of data and figures. With the application of basic mathematical tools like numerical linear algebra and algorithms, the students learn how to handle data-intensive computing. The verified track of the course also includes graded assignments that’ll help in polishing the analytical knowledge of the student.
The Highlights
- Free course
- 100% online course
- Instructor-led course schedule
- Flexible learning
- GTx verified certification by EdX
- 8-10 hours per week
- Advanced computer science course
- 15 Week-long course
- All instructions in English
- Learning at instructor-pace
- Instructors from the Georgia Institute of Technology
Programme Offerings
- Transcripted videos
- Instructor-led Teaching
- Estimated 15 Weeks Course
- Instructor-Paced Programme
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| USD 825 | yes | Georgia Tech |
Computing for Data Analysis Fees Structure :
Head | Amount in Rs. |
Certification | $ 825 |
Eligibility Criteria
NOTE: Due to the U.S. license and sanctions issue, except for the learners from Cuba, the Crimea region of Ukraine, and Iran, students from all across the globe can apply for cannot apply for the Computing for Data Analysis Certification by edX.
Certification Qualifying Details
A candidate is eligible to get certified from the edX platform after the completion of the course and paying the certification fee as mentioned.
What you will learn
By pursuing the Computing for Data Analysis Certification Syllabus, a learner will develop an understanding of:
- Building the components for analytics.
- Part of the analytics including the methods of the MicroMasters programme, and connecting them with tools and techniques of the new age.
- Making essential tools for analysis.
- Collection and preprocessing of data.
- Basic programming principles.
- Hands-on introduction to data analysis and data mining.
- Relevant practices of modern data analysis.
- Modern data analysis pipeline including interactive visualization of data.
- Processes of analysis and data storage.
- Introduction to the concepts of Machine learning.
Who it is for
The course of Computing for Data Analysis can be taken up by:
- Advanced computer science enthusiasts.
- Candidates are interested in analytics.
- Students interested in basic programming principles.
Admission Details
There are a couple of steps listed below to enrol under the Computing for Data Analysis Certification classes:
Step 1: The URL of the course is https://www.edx.org/learn/computer-programming/the-georgia-institute-of-technology-computing-for-data-analysis, and it takes a candidate to the webpage offering the course.
Step 2: To enrol under the course, a student needs to sign up on the web portal of edX using an email ID.
Step 3: After registration, the course will be visible on the dashboard of the candidate.