RT
5 янв. 2020 г.
Very good, although I would suggest the Health Informatics as a starting course
SC
17 янв. 2020 г.
Excellent material and a great introduction to data analytics!
автор: Debopam R
•30 окт. 2020 г.
I had a lot of hope with this course but was sadly disappointed. The course content is all over the place and does not follow a structure or a flow. It talks about groupers in week 2, and talks on ETL in week 3, again brings risk stratification and some modelling concept in week 4 but linkages are missing.
My suggestion think how an analytics practitioner should follow a methodology and take him through the steps. It should start with SEMMA concept and take a practitioner through the steps like
S : what data is needed , concept and concept mapping, understand flow, input and output
E: explore : descriptive and visualizations
M: Modify: bring here concepts of grouper algorithms, risk adjustment
M : Talk here on predictive models, regressions, supervised and unsupervised learnings and risk stratification strategies
A: Talk about how you analyze output, how you train your learning set
Show with use causes scenarios of handling Fraud, Risk Adjustments and Risk Stratification.
автор: Rosetta T
•6 янв. 2020 г.
Very good, although I would suggest the Health Informatics as a starting course
автор: Silvio C
•18 янв. 2020 г.
Excellent material and a great introduction to data analytics!
автор: Abiodun A
•26 июня 2020 г.
Very informative. Would have preferred more practical examples on data analysis
автор: JOEL B
•23 мая 2020 г.
Thank you ...