Healthcare Data Analysis Courses and Certifications

MGH Institute of Health Professions

Introduction to Healthcare Data Analysis

Develop foundational understanding of common statistical methods in healthcare data analysis, including data wrangling, univariate and multivariate techniques, and practical application using statistical software.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Statistical Analysis and Data Modeling in Healthcare

Master statistical analysis and predictive modeling techniques for healthcare data using Python, from descriptive statistics to machine learning applications.

• Coursera
• 8 hours 29 minutes
• On-Demand
• Paid Course

Python Data Analysis for Healthcare

120 ratings at LinkedIn Learning

Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.

• LinkedIn Learning
• 2 hours 48 minutes
• On-Demand
• Free Trial Available

Health Data Science Foundation

29 ratings at Coursera

Explore health data science, machine learning basics, and deep neural networks for medical applications through lectures, labs, and hands-on projects. Gain practical skills in developing deep learning models for healthcare problems.

• Coursera
• 1 day 10 minutes
• On-Demand
• Paid Course

Advanced Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore advanced deep learning techniques for healthcare, including attention models, graph neural networks, memory networks, and generative models. Apply these methods to real-world medical challenges through hands-on projects.

• Coursera
• 16 hours 28 minutes
• On-Demand
• Paid Course

Healthcare Data Literacy

132 ratings at Coursera

Develop data literacy skills for healthcare, covering industry basics, data types, terminologies, and integration techniques to enhance decision-making and improve patient care.

• Coursera
• 13 hours 26 minutes
• On-Demand
• Paid Course

Using clinical health data for better healthcare

118 ratings at Coursera

Explore digital health data analytics, from quality input to deriving insights. Learn to analyze, visualize, and communicate health data effectively for improved healthcare decision-making and outcomes.

• Coursera
• 15 hours 27 minutes
• On-Demand
• Paid Course

Capstone Assignment - CDSS 5

This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt throughout the specialization. In this course you will choose one of the areas and complete the assignment to pass.

• Coursera
• 2 hours 30 minutes
• On-Demand
• Paid Course

Coursera

Cervical Cancer Risk Prediction Using Machine Learning

44 ratings at Coursera

Build and train an XG-Boost classifier to predict cervical cancer risk using patient data, including factors like pregnancies, smoking habits, STDs, and medical history.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

MGH Institute of Health Professions

Repeated Measures ANOVA and Non-parametric Statistics

Master repeated measures ANOVA and non-parametric statistical techniques for healthcare data analysis using R, focusing on analyzing multiple time points and non-normally distributed data.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Using Electronic Health Records for Better Care

3 reviews

Explore methods to transform patient data into actionable insights, enhancing drug safety monitoring, identifying interactions, and generating evidence-based practices for improved healthcare outcomes.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

TED

The Big Idea My Brother Inspired

Inspiring story of brothers who created a groundbreaking website for patients to share health data, leading to powerful insights and predictions for various illnesses.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Devoxx

Neural Networks and Brains

Explore deep learning for lung cancer survival prediction using convolutional networks, multi-scale data, and clinical parameters. Learn about noise-based robustness and priming techniques for improved model performance across cohorts.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

International Centre for Theoretical Sciences

How to Train Your Dragonn - A Primer on Deep Learning for Regulatory

Explore deep learning for regulatory genomics with hands-on training. Learn to build and train neural networks for analyzing genomic data and understanding gene regulation.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

How to Train Your DragoNN - A Primer on Deep Learning for Regulatory

Explore deep learning techniques for regulatory genomics, focusing on key benefits and applications in analyzing genomic data for improved understanding of gene regulation.

• YouTube
• 58 minutes
• On-Demand
• Free Video