The [course_title] course shows you the use of data analytics and big data to health for improving the health care. You will explore the excellent data analytic techniques that can make the diagnosis better and helps you to cure better.
The course covers the three major fields:
- Healthcare expertise where you learn medical approaches to big data
- Data analytics- learn the basics of data mining for various healthcare settings.
- Entrepreneurship – learn to assess when data science-based improvements in health care represent entrepreneurial opportunities
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: KU Leuven University
Course Curriculum
Module: 1 | |||
Welcome Video | 00:02:00 | ||
Context Case-Finding Type 2 Diabetes10 | 00:06:00 | ||
Health Expenditure Data | 00:05:00 | ||
Machine Learning | 00:09:00 | ||
Data Availability | 00:05:00 | ||
Data Transformation into Machine Readable Data | 00:05:00 | ||
Identifying Useful Features and Deriving Patterns | 00:08:00 | ||
Histograms, Curves and Scatterplots | 00:06:00 | ||
Entrepreneurial Opportunities | 00:03:00 | ||
The Origins of Opportunity | 00:04:00 | ||
Module: 2 | |||
Opportunity rejection by Incumbents | 00:03:00 | ||
Conclusion & Reading Suggestion | 00:02:00 | ||
Introduction to PCR | 00:04:00 | ||
The Machine Learning Behind | 00:07:00 | ||
UgenTec Business Case | 00:04:00 | ||
Data Sources and Formats | 00:06:00 | ||
Elimination of Inconsistencies and Noise | 00:04:00 | ||
Clustering and Classification | 00:06:00 | ||
Decision Trees | 00:06:00 | ||
Introduction | 00:04:00 | ||
Module: 3 | |||
Understanding how Current Solutions are Appreciated | 00:02:00 | ||
Competitive Analysis | 00:04:00 | ||
Industry Analysis | 00:03:00 | ||
Conclusion & Assignment | 00:03:00 | ||
Introduction | 00:03:00 | ||
Data Analysis | 00:03:00 | ||
Data Sharing | 00:04:00 | ||
Reliability | 00:04:00 | ||
Data Organization | 00:07:00 | ||
Correlations and Regressions | 00:06:00 | ||
Module: 4 | |||
Association Rules | 00:04:00 | ||
Introduction | 00:04:00 | ||
Why Market Research can be Misleading | 00:03:00 | ||
Optimising Your Proposition | 00:07:00 | ||
Using Market Research to Anticipate Competitive Reactions | 00:05:00 | ||
Marketing to Prospective Customers | 00:07:00 | ||
Conclusion & Assignment | 00:02:00 | ||
Introduction | 00:05:00 | ||
Workflow I | 00:07:00 | ||
Workflow II | 00:08:00 | ||
Module: 5 | |||
Data Appreciation | 00:04:00 | ||
Dealing with Missing Values | 00:05:00 | ||
Presentation Tools | 00:02:00 | ||
Density Maps | 00:03:00 | ||
Introduction | 00:02:00 | ||
Modelling your Business | 00:04:00 | ||
Resource Requirements & Capacity Planning | 00:05:00 | ||
Valuation and Investment Needs | 00:09:00 | ||
Conclusion & Assignment | 00:03:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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