Get updates on Eligibility, Admission, Placements Fees Structure
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 4112 | 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
Demystifying Biomedical Big Data A User's Guide Fees Structure
Type of Fee | Amount |
Certification Fee | Rs. 4,112 |
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
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
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
- Perspectives from the Field
- Regulatory issues Issues related Related to biomedical Biomedical big Big dataData. 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. Interview with Dr. Ben Busby, genomics Genomics outreach Outreach coordinator Coordinator at the National Center for Biotechnology Information (NCBI)
- Interview withCancer Moonshot. Dr. Jerry Lee, Deputy Director, Center for Strategic Scientific Initiatives, Office of the Director, National Cancer Institute, National Institutes of Health
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)
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.
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.
Concepts associated with extracting raw data and subsequent processing followed by relevant inference-making are part of the program.
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.
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.
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.
This course does not require the candidates to attempt a competitive entrance examination. The choice to enroll is yours.
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.
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.