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Quick Facts

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

Course Overview

The large quantum of data that is being generated from laboratories and clinics has the potential to unearth trends and inferences which can transform our efficiency in providing patient care. This management of data is a mighty task for most of the community.

The Demystifying Biomedical Big Data: A User’s Guide online course aims at the rudimentary understanding of the data being generated, its analysis, and subsequent interpretation for those professionals who are involved in the bioinformatics field. You will find most of the catchphrases being demystified over the course of this engagement.

The US National Institutes of Health is gracious enough to fund the operations of the Demystifying Biomedical Big Data: A User’s Guide program, and to deploy competent resources that make this program understandable by the participants by putting in 3 to 6 hours per week. It’s a self-paced program and can be taken while keeping one’s job.

The Highlights

Big Data Fundamental concepts
Excellent engagement outcomes
Run time of 8 weeks
3 to 6 hours of effort needed
Latest official curriculum
Corporate packages available
Self-paced pedagogy
Free to audit course. Pay only for optional official certification

Programme Offerings

Optional and paid Official certification
Digital footprint
Flexible learning design
Gateway for software professionals
Data Analysis and Statistics
Mobile courseware
8 week completion

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 4082	yes	GU Washington

This section is only applicable for students of the Demystifying Biomedical Big Data: A User’s Guide program who decide to pursue the verified track

Type of Fee	Amount
Certification Fee	Rs. 4,082

Eligibility Criteria

Education

Biology background is required either at the high school or undergraduate level

Certification qualifying details

This section does not apply to this program

What you will learn

Knowledge of biomedical sciences

The Demystifying Biomedical Big Data: A User’s Guide program is a great stepping stone to inculcate learnings from the following areas:

Basic conceptual knowledge associated with Biomedical informatics by way of interviews at Georgetown University medical center
Get equipped with foundational aspects of the large quantum of data and their sources in the context of the Biomedical field upon conversing with subject matter experts
Application of the protocols that apply to translational research in a 2-part lecture series followed by a 3-part Cancer genome series
Working fundamentals associated with G-Doc with support from a lecture, demonstration, and a fruitful exercise
Incorporate the inputs from the DNA into the Big Data in a 3-part initiative that begins with a lecture, is supported with a demonstration, and terminates in an exercise
Deep dive into comprehending the working of the Gene expression via a specially curated lecture as well as the introduction to Micro RNA
Develop a robust foundation of how Protein sequences interact to affect the data so produced, covered in a 2-part lecture series along with Mass spec proteomics
Equip yourself with key differences between Metadata, Data Sharing, and Data formats
Put the knowledge of Systems Biology from a 2-part lecture series and a relatable Data Analysis demonstration into Big Data analytics

Who it is for

Scientist

The Demystifying Biomedical Big Data: A User’s Guide program will add value to those in the following strata of their professional lives:

Biology students at the high-school or the graduate level aspiring to learn about Big Data in the context of the Biomedical arena.
Recent scientists and researchers looking to make a career in extracting and processing the large amount of data that is produced in laboratories and clinics.

Admission Details

The admission process for the Demystifying Biomedical Big Data: A User’s Guide’s certification is explained as follows:

1. Account login phase

Once you have made up your mind to enrol, please use the option from the top of the program page. At this point, you will be required to be logged in to your account. This can be achieved in one of two ways. The first way is to log in using your existing login credentials and the other is to create an account with edX by providing the first name, last name, a strong password, an email address, and a public username. In addition, please select the country of your current residence from the available drop-down menu.

2. Track selection phase

The program on Demystifying Biomedical Big Data has one of two tracks to choose from. Both of them are briefly introduced as follows:

The certification track: This track leads to an official certificate at the end from the partner institution. Hence, it is best for those students who would like to use their time and effort in this course to go into career development
Audit track: For those who would like to sample this program can do so for free, albeit with limited timed access to the program and the progress. This path is suggested for casual learners.

Please make a selection from one of the above two options and proceed.

3. Payment phase

This is the last step in the process and its applicability, broadly, depends upon your path selection in the previous step. They are explained as follows:

Those who opt to audit the program have no fees to pay. Only if they choose to upgrade their timed access to full-time access will they need to shell out the requisite fee.
Over to the certification track, the applicable certification fee needs to be paid using a credit card, American Express cards, as well as PayPal. Once the payment is successful, you will be redirected to the program access.

Application Details

The Demystifying Biomedical Big Data: A User’s Guide online course does not comprise an application form. The content of the previous section is sufficient.

The Syllabus

Introduction to the Course -Interview with Bioinformatics at Georgetown University Medical Center. Dr. Robert Clarke, Dean for Research, at Georgetown University Medical Center
Biomedical Informatics: Enabling Research and Health Care. Interview with Dr. Subha Madhavan, Director of the Innovation Center for Biomedical Informatics (ICBI) at Georgetown University
Biomedical Big Data: Enabling Personalized Medicine. Interview with Dr. John Marshall, Chief, Hematology and Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center internationally recognized medical oncologist

Translational Research
Translational Research Lecture, Part 1 Part I
Translational Research Lecture, Part 2 Part II
The Cancer Genome Atlas
The Cancer Genome Atlas Lecture
The Cancer Genome Atlas Demo
The Cancer Genome Atlas Exercise
Introduction to G-DOC
G-DOC Lecture
G-DOC Demo
G-DOC Exercise

DNA Copy Number
DNA Copy Number Lecture
DNA Copy Number Demo
DNA Copy Number Exercise
Genome Sequencing
Genome Sequencing Lecture, Part 1
Genome Sequencing Lecture, Part 2
Genome Sequencing Demo
Genome Sequencing Exercise

Gene Expression
Gene Expression Lecture
Gene Expression Demo
Gene Expression Exercise
MicroRNA
MicroRNA Lecture
MicroRNA Demo
MicroRNA Exercise

Proteomics
Protein Sequences Lecture
Protein Interactions Lecture
Mass Spec Proteomics, Lecture
Proteomics Exercise

Proteomics (Continued)
Data Sharing, Metadata, Data Formats
Ontologies
Proteomics Demo, Part 1
Proteomics Demo, Part 2
Proteomics Demo, Part 3
Proteomics Exercise

Systems Biology
Systems Biology Lecture, Part 1
Systems Biology Lecture, Part 2
Systems Biology and Data Analysis Demo
Systems Biology Exercise

Weekly Guide
Regulatory Issues Related to Biomedical Big Data. Sheila Zimmet, JD, Senior Associate Vice President for Regulatory Affairs, and Ashley Carver, JD, Deputy Conflicts Officer, and Regulatory Affairs Associate, Georgetown University Medical Center
Enabling Everyone to Share and Use Public Datasets. Dr. Ben Busby, Genomics Outreach Coordinator at the National Center for Biotechnology Information (NCBI)
Cancer Moonshot. Dr. Jerry Lee, Deputy Director, Center for Strategic Scientific Initiatives, Office of the Director, National Cancer Institute, National Institutes of Health
Course Conclusion

Evaluation process

In the Demystifying Biomedical Big Data: A User’s Guide training, there are three groups of assignments: quizzes, homework, and projects. They are all graded towards the end of the course and the participants need to secure the following minimum scores to receive the certificate:

Homework - 50%

Quizzes - 35%

Projects - 15%

Additionally, as an extra, the overall score needs to be greater than or equal to 60%

Instructors

GU Washington Frequently Asked Questions (FAQ's)

1: Are there any other payment modes except a credit card?

edX would recommend arranging for a credit card as that is the most preferred option. However, you may use a PayPal account to make the payment in case a credit card isn’t available.

2: What is the weekly time commitment required for this program?

At edX, we suggest that you keep aside 3 to 6 hours per week apart from the duration for which the classes run, to make the most out of this engagement.

3: Is this program suitable to learn Big Data analytics with?

Concepts associated with extracting raw data and subsequent processing followed by relevant inference-making are part of the program.

4: Does this program include concepts specific to the Biomedical field?

The program on Demystifying Biomedical Big Data surrounds the data analysis concepts with a twist of how it is found in the Biomedical arena. This is handled by experts from this field.

5: Can I complete this course without a Biology background?

edX requires the candidates to have exposure to Biology either at the high-school level or better still, at the undergraduate level. This is required for an optimum learning experience.

6: What roles do the discussion portals play?

The discussion group is a way to solicit feedback from the students about the efficacy of the module. Secondly, the participants can ask questions about their progress and will be duly answered by the faculty.

7: Is there an entrance examination for this program?

This course does not require the candidates to attempt a competitive entrance examination. The choice to enroll is yours.

8: Do we need to be well versed with a programming language?

None at all. All edX requires is the candidate to have a background in Biology and an interest in getting involved with statistics. The rest will be taught in the program.

9: What is the scope of the learnings from this course?

The field of Big Data in the Biomedical arena is largely unutilized. edX offers this program at a time when the movement in this field is just about catching pace. Thus, it has a bright, employable future.