Health Data Analysis Courses

Evaluating Public Health Programs at Scale

24 ratings at Coursera

Learn to design, implement, and critique evaluations of large-scale public health programs in low- and middle-income countries, focusing on RMNCAH and nutrition initiatives. Gain practical skills for effective program assessment.

• Coursera
• 18 hours 25 minutes
• Self-Paced
• Paid Course

Visualizing Data in the Tidyverse

20 ratings at Coursera

Explore data visualization techniques using ggplot2 in R. Learn to create effective plots, customize aesthetics, and use extensions for advanced visualizations to enhance data analysis and communication.

• Coursera
• 16 hours 40 minutes
• Self-Paced
• Paid Course

A Public Health Approach to Hearing Loss and Aging

16 ratings at Coursera

Explore the public health impact of hearing loss in older adults, including its link to cognitive outcomes and dementia. Learn about research, policy, and interventions from Johns Hopkins experts.

• Coursera
• 2 hours 55 minutes
• Self-Paced
• Paid Course

Assessing Health Program Delivery

17 ratings at Coursera

Learn to assess and improve health program delivery in low- and middle-income settings, focusing on implementation strength, quality of care, and service utilization for women's and children's health programs.

• Coursera
• 19 hours
• Self-Paced
• Paid Course

Introduction to Using Generative AI in Public Health

14 ratings at Coursera

Explore practical applications of generative AI tools like ChatGPT in public health, focusing on ethical implementation, research methods, and real-world problem-solving for healthcare professionals.

• Coursera
• 9 hours 49 minutes
• Self-Paced
• Paid Course

Social Network Analysis

11 ratings at Coursera

Explore social network dynamics through graph theory, centrality measures, and statistical modeling. Gain skills to analyze relationships, identify influencers, and conduct hypothesis testing using R programming tools.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Credential

Information Assurance Analysis

10 ratings at Coursera

Master advanced cybersecurity concepts across AI systems and industrial networks, from fundamental protocols to cutting-edge security practices for AI governance, ICS architecture, and emerging technologies.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Big Data Processing Using Hadoop

9 ratings at Coursera

Master the Hadoop ecosystem for big data processing, from HDFS and MapReduce to advanced tools like Hive, Pig, and Spark. Develop practical skills for designing, deploying, and optimizing large-scale data solutions.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Data Visualization

7 ratings at Coursera

Master advanced data visualization techniques from foundational concepts to specialized approaches, including design principles, network visualization, and interactive data exploration for impactful decision-making.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 8 courses

Credential

Foundations of Global Health

Comprehensive program covering health systems, humanitarian crises, primary care, behavior change, community engagement, and training volunteer health workers for effective global health interventions.

• Coursera
• 35 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

Credential

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Advanced Techniques in Data Visualization

Master advanced data visualization techniques to transform complex data into compelling visual stories using color theory, interactivity, network graphs, geospatial mapping, and text visualization methods.

• Coursera
• 1 day 4 hours 27 minutes
• Self-Paced
• Paid Course

Foundations of Data Visualization

Master fundamental data visualization principles and techniques to transform raw data into compelling visual insights, focusing on perception, design, and effective storytelling methods.

• Coursera
• 23 hours 35 minutes
• Self-Paced
• Paid Course