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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time. Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian.

Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like.

The Highlights

Provided by Coursera
Offered by Georgia Institute of Technology
Flexible Deadlines
Shareable Certificate
Intermediate level course
Financial Aid Available
Self-Paced Learning Option
100% Online Course
Around 9 Hours to Complete

Programme Offerings

English videos with multiple subtitles
Shareable Certificate
Financial aid available
Shareable Certificates
Self-Paced Learning Option

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 2397	yes	Coursera

Coursera presents two different enrolment methods for the candidates to enroll in the programme. The first, the purchase mode, requires the learners to pay the Materials Data Sciences and Informatics Certification Fee and they will be provided with all the advantages including the certificate. Whereas in the audit mode, the learners can take the courses without paying the fee, they will be given limited access to the course.

Materials Data Sciences and Informatics Fee Structure

Name of the Course	Fee Amount
Materials Data Sciences and Informatics	INR 2,397

Eligibility Criteria

Certification Qualifying Details

After completing the Materials Data Sciences and Informatics online course, Coursera offered the learners who paid for the system and covered the programme ultimately a shareable certificate.

What you will learn

Data science knowledge

Materials Data Sciences and Informatics Certification Syllabus will cover the following:

Informatics
Materials
Statistics
Data Science

Who it is for

Data Scientist

Materials Data Sciences and Informatics Classes is an ideal programme for the learners like Data scientists and the like.

Admission Details

Materials Data Sciences and Informatics Training can be taken by the learners by going through these steps:

Step 1 -Browse the official URL

https://www.coursera.org/learn/material-informatics

Step 2- Join the programme by opting for the option of ‘Enroll Now’.

The Syllabus

Readings

Course Syllabus
Frequently Asked Questions
Suggested Reading
Target Audience and Recommended Background
Get More from Georgia Tech
Consent Form

Videos

Why Accelerate Material Discovery and Development?
Historical Materials Development Cycles
How do we accelerate materials development and deployment
Emergence of multi-stakeholder initiatives
The Materials Innovation Ecosystem
Part 1:Multiscale Modeling and Multilevel Design of Materials
Part 2: Multiscale Modeling and Multilevel design of Materials
Decision-Making in Material Design
Multilevel Systems-Based Materials Design

Reading

Earn a Georgia Tech Badge/Certificate/CEUs

Practice exercise

Accelerating Materials Development and Deployment

Videos

Material Property, Material Structure, and Manufacturing Processes
Process-Structure-Property (PSP) Linkages
Role of Structures in PSP Linkages
Data Science Terminology
Main Components of Data Science
What is Big Data?

Practice exercise

Materials Knowledge and Materials Data Science

Videos

Digital Representation of Material Structure
Spatial Correlations: n-Point Statistics
Computation and Visualization of 2-Point Spatial Correlations
Principal Component Analyses (PCA) for low dimensional representations
Principal Component Analyses (PCA) for low dimensional representation of material structure
Homogenization: Passing Information to Higher Length Scales

Practice exercise

Materials Knowledge Improvement Cycles

Videos

Structure-Property Linkages using a Data Science Approach-Part 1
Structure-Property Linkages using a Data Science Approach-Part 2

Practice exercise

Case Study in Homogenization: Plastic Properties of Two-Phase Composites

Videos

Materials Innovation Ecosystem
Materials Innovation Cyberinfrastucture
e-Collaboration Platforms/Environments
Materials Cyber-Infrastructure
Introduction to PyMKS Materials Knowledge Systems in Python
Materials Data Science with PyMKS

Readings

PyMKS website
Take another course like this !

Practice exercise

Materials Innovation Cyberinfrastructure and Integrated Workflows

Instructors

Georgia Tech Frequently Asked Questions (FAQ's)

1: Name of the professor who developed and teaches the Materials Data Sciences and Informatics online course?

The professor who is in charge of teaching the online programmes is Dr. Surya Kalidindi who is a professor at the George W. Woodruff School of Mechanical Engineering.

2: Which level candidates are meant by the Materials Data Sciences and Informatics online certification?

The onion certification course by Coursera is intended for intermediate-level students.

3: How much time do the learners need to complete the programme at the minimum?

The minimum time required for covering the programmes is 9 hours.

4: How many students so far enrolled and attended the programme?

14,390 learners have joined and benefited from the online courses so far.

5: What is the mode in which the course can be pursued by the learners?

The course is offered entirely in online mode and thus, the learners can take the programme at their own convenience and pace from anywhere in the world.