Online Course – Google Certified Professional Internship in Data Science for Health Research, University of Michigan

Explore, visualize, and analyze health data. Import, process data, and adapt basic statistical models to analyze health outcomes data, all in the R environment.

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קורס אונליין - התמחות מקצועית מוסמכת במדעי הנתונים למחקר בריאות של גוגל

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data translation
  • Decoding statistical models
  • Predicting results
  • Organizing visualization for health data
  • Statistical analyses in programs like R
  • Assisting in data-driven decision-making in public health

What you will learn in the course

Courses for which the course is suitable

  • Healthcare Data Analyst
  • Data Scientist
  • Medical statistician
  • Clinical Research Manager
  • Public Health Consultant
  • Healthcare predictive modeling developer
  • Public health researcher
  • Synthetic data analyzer
  • Medical Data Analysis Specialist
  • Healthcare Project Manager

Specialization in Data Science for Health Research

The specialization is a 3-part course series in data science for health research. The courses will teach you how to organize and visualize health data using statistical analysis in programs like R.

The courses will reveal how to:

  • Translate data
  • Decode statistical models
  • Predict results

Goal: To assist in data-based decision-making in the field of public health.

Applied Learning Project

In Course 1, learners will summarize data from a global survey on financial account ownership (Global Findex database) and reconstruct a table and figure from the 2017 Global Findex database report.

In Courses 2 and 3, learners will analyze synthetic data related to common risk factors and heart disease in the Indian population.

The learning process

The learning process for this course will typically progress through the following steps:

  • Learning about ideas through lecture videos.
  • Implementing the ideas in the video is a guided practice.
  • Repeat the steps for most topics in the lesson.
  • Self-empowerment through independent Bible guides.
  • Practice comprehension through ungraded quizzes and dialogues.

Details of the courses that make up the specialization

Arranging and visualizing data in R

Course 1 – 18 hours

What you will learn:

  • Learn and know how to work in the R environment
  • Format and manipulate data in R into appropriate formats
  • Develop intuition for exploratory data analysis
  • Opens a workflow in R

Skills you will acquire:

  • Data handling
  • Coding in R
  • Data visualization
  • Investigative data analysis
  • Data exploration

Linear Regression Model for Health Data

Course 2 – 13 hours

What you will learn:

  • Understand the concept of statistical modeling and the basics of statistical inference
  • Recognize, adapt, and interpret a simple linear regression model
  • Develop intuition to fit and interpret a multiple regression model

Skills you will acquire:

  • Probability and statistics
  • Linear regression
  • Statistical analysis
  • Statistical model

Logistic Regression and Prediction for Health Data

Course 3 – 11 hours

What you will learn:

  • Understand how binary outcomes arise and know the difference between morbidity, hazard ratio, and odds ratio
  • Use logistic regression to estimate and interpret the relationship between one or more variables and a binary outcome.
  • Understand the principles of using logistic regression for forecasting and assessing the quality of those forecasts

Skills you will acquire:

  • Probability and statistics
  • Logistic regression
  • Statistical analysis
  • Statistical model

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