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Analytical Solutions to Common Healthcare Problems(으)로 돌아가기

캘리포니아 대학교 데이비스 캠퍼스의 Analytical Solutions to Common Healthcare Problems 학습자 리뷰 및 피드백

4.4
별점
18개의 평가
5개의 리뷰

강좌 소개

In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data....

최상위 리뷰

RT
2020년 1월 5일

Very good, although I would suggest the Health Informatics as a starting course

SC
2020년 1월 17일

Excellent material and a great introduction to data analytics!

필터링 기준:

Analytical Solutions to Common Healthcare Problems의 5개 리뷰 중 1~5

교육 기관: Debopam R

2020년 10월 30일

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.

교육 기관: Rosetta T

2020년 1월 6일

Very good, although I would suggest the Health Informatics as a starting course

교육 기관: Silvio C

2020년 1월 18일

Excellent material and a great introduction to data analytics!

교육 기관: Abiodun A

2020년 6월 26일

Very informative. Would have preferred more practical examples on data analysis

교육 기관: JOEL B

2020년 5월 23일

Thank you ...