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 Data Analytics and Visualization in Health Care course is a composite course created for learners of different levels of understanding and with multi-discipline backgrounds. Big data has transformed the way the healthcare industry functions. With factors like improvement of quality, reducing costs and patient engagement being key objectives to focus on, the techniques used for analysis, processing and even collecting health care data have seen a massive advancement. This Data Analytics and Visualization in Health Care certification course will teach candidates the use of Data Analytics in the healthcare sector and its implications on the organization.
The Data Analytics and Visualization in Health Care online course will help candidates in creating a foundation that helps in creating a data analytics program designed specifically for the healthcare domain which tackles the most burning question of the industry and provides a visual solution for deeper and more impactful answers to the applicants. Students can enrol in the course either by paying the fee or free of cost. While taking the programme for free, the learners will get access only for a limited duration.
The Highlights
- 100% Online course
- Flexible deadlines
- Self-paced convenient program
- Award of shareable certificate
- Downloadable video lectures, study material
- Verified certification by edX
- Course provided by RITx
- Industry-relevant curriculum
- Unlimited access for life.
- Financial assistance if needed
- 8 weeks course with effort of 8 to 10 hours /week
- Advanced level course
Programme Offerings
- video lectures
- Reading Material
- exam
- Surveys.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 20759 | yes | RIT |
- The Data Analytics and Visualization in Health Care fees for registration in the program is not required by the students to be paid.
- The course fee that the students need to deposit is ₹ 20,759 for the Data Analytics and Visualization in Health Care training.
Data Analytics and Visualization in Health Care fees
Fee Category | Amount In Rs. |
Registration fee | Free |
Data Analytics and Visualization in Health Care | ₹ 20,759 |
Eligibility Criteria
Education
The candidates who want to apply for this certification course on Data Analytics and Visualization in Health Care by edX must have a Bachelor’s degree and some experience in healthcare. A knowledge of statistics and research methods is preferred but not mandatory.
Certification Qualifying Details
On completing the candidates will be awarded a shareable certificate. Only those candidates will be given a certificate who pursue the upgraded course by depositing Data Analytics and Visualization in Health Care fee.
What you will learn
By taking the Data Analytics and Visualization in Health Care program candidates will gain these important insights:
- An evaluated understanding to prepare simple visual data reports of the healthcare data in an organization.
- Understanding to identify the disrupting forces of the healthcare industry today in the Data Analytics and Visualization in Health Care certification course
- Insights on the concepts of healthcare trends of today and their impact of cost and other factors like quality and patient engagement.
- Learning on describing health informatics and their role is the clinical workflow in the syllabus.
- Understanding of interoperability in healthcare analytics during the Data Analytics and Visualization in Health Care training.
- Tools and techniques used in summarizing data, its collection, analysis, and processing in healthcare.
- Know-how of the data interpretation and various techniques used in the process.
- Identifying and utilizing relevant visualization practices in the Data Analytics and Visualization in Health Care program
- A better understanding of identifying various healthcare technologies used today.
Who it is for
The Data Analytics and Visualization in Health Care certification is especially recommended for:
- Candidates are willing to take up data analytics as a career especially in the health care sector.
- Candidates looking to upskill themselves for better job opportunities and to gain leverage over other candidates.
- Students and learners who want to understand the functioning and need of Data analytics in health care and the use of visualizations in this field can apply for the Data Analytics and Visualization in Health Care training
- Data scientists and professionals who want to learn the current healthcare trends along with their impact on quality, cost, and patient engagement, etc.
Admission Details
To take admission in this course, candidates will have to follow these simple steps that take only a few minutes to enrol:
Step 1: Visit the official program page on the edX website here: https://www.edX.org/course/data-analytics-and-visualization-in-health-care and click on ‘Enroll’
Step 2: In the next step, existing edX account holders will be asked to simply log in for enrolling in the course. For new candidates, they will need to register for an edX account using any of the accounts like Google, Facebook, or any email ID.
Step 3: Next candidates will be taken to the payment page. Here they can select the mode of taking this course. For the certificate version of the Data Analytics and Visualization in Health Care, course candidates will need to pay the fees. The certificate version comes with assignments and exercises. It also allows a certificate on passing the course. Candidates can also choose a free audit option for learning without the certificate.
Step 4: Financial assistance is available to those candidates who need a certification but cannot afford the course fee. Selected learners will be given financial assistance up to 90%. Fill up the form on the course page to apply.
Step 5: For purchasing the verified track of the course candidates will need to complete payment of the course fee. Choose from any of the available modes of payment available on the website.
Step 6: After the completion of the process of fee payment or enrollment through free audit mode, candidates will be given complete access to course material of the Data Analytics and Visualization in Health Care certification syllabus. The paid conversion has assignments as well as exams whereas free audit includes only the learning.
Step 7: The video lectures are available for download. The reading material, assignments, and transcripts of the videos are also downloadable for students.
The Syllabus
- Components of Health Care
- Stakeholders
- Care Settings
- Financing
- Public Health
- Regulatory/Research
- Challenges and Opportunities
- The Triple Aim
- Quality and Cos
- Patient Experience/Access
- Systems Approach
- Evidence-Based Medicine
- Quality Improvement
- Value-Based Reimbursement
- Health Care Trends
- Demographics/Population Health
- Consumerism/Personalized Medicine
- Emerging Trends in Health Care
- Overview of Health IT
- What is Health Informatics?
- How Health Informatics Supports Triple Aim
- Health IT Systems and Components
- EMR/EHR Modules and Ancillary Data Systems
- Enterprise Systems vs. Best of Breed
- Structured Versus Unstructured Data
- EHR Adoption
- EHR Regulations
- Barriers to EHR Adoption
- Interoperability and HIT Standards
- Health IT Standards
- Data Exchange
- Clinical Decision Support
- HIPAA Security
- Public Health IT and Consumer Engagement
- Data Terms and Concepts
- Why Data Analytics?
- Virtuous Cycle in Analytics
- Data Terminology
- Big Data Terminology
- Getting Data Ready for Analysis
- Considerations Before Analyzing
- Integrating Data Across Data Sets
- Data Governance, Privacy, and Security
- Data Governance Within the Organization
- Patient Identification
- Regulatory Considerations and Data Security
- Analysis with Artificial Intelligence
- Machine Learning in Health Care
- Natural Language Processing in Health Care
- Making Data Usable to Others
- Finalizing Data for Analysis
- Communicating Data
- Value of Visualization
- Visualization Best Practices
- What Not to Do
- Types Based on Use Case
- Visualizations of Complex Data
- Dashboard Design
- Analyzing Visuals
- Exploratory vs. Explanatory Visualization
- Quantitative vs. Qualitative Visualization
- Uses in Health Care
- Tools for Analysis and Visualization
- Gartner Software Benchmarking
- Current Tools
Instructors
RIT Frequently Asked Questions (FAQ's)
For learners to get their doubts resolved, candidates can ask their Data Analytics and Visualization in Health Care certification course related queries in the discussions tab of their dashboards. Candidates can also optionally seek email support in case of unresolved queries.
edX platform offers world-class learning from industry experts in respective fields. Data Analytics and Visualization in Health Care training are free for anyone to learn from and offer certification at a nominal cost. The edX courses are well-curated with the latest advancements in each field and offer composite learning directly from the specialists.
Candidates will need to be at least graduates with experience for some time in the healthcare field. A knowledge of statistics and methods of research is preferred however is not mandatory.
No, this course is 100% online. Candidates will not need any university visits for this Data Analytics and Visualization in Health Care certification.
No. no compulsory at all. However, it is recommended for students to follow the order for better understanding.
The course is for a duration of 8 weeks. It needs an effort of 8 to 10 hours /week
Learners will get access to the course and material right after the payment or free enrollment for the program.
For any more info or queries candidates can visit here:
https://www.edX.org/course/data-analytics-and-visualization-in-health-care
The Data Analytics and Visualization in Health Care certification benefits and videos are in English. With subtitles and video transcripts for lectures.
Candidates may either use PayPal Or a credit/ debit card to pay the Data Analytics and Visualization in Health Care fee.