Health Data Analysis Courses

Understanding and Strengthening Health Systems

355 ratings at Coursera

Explore health systems in low/middle-income countries, covering organization, WHO building blocks, human resources, and policy development. Gain practical skills for managing global health programs.

• Coursera
• 14 hours 33 minutes
• Self-Paced
• Paid Course

Credential

Precalculus through Data and Modelling

321 ratings at Coursera

Develop mathematical modeling skills through functions and data analysis, preparing for scientific careers and advanced math courses. Applicable across various disciplines for real-world problem-solving.

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

Getting Started with Data Visualization in R

309 ratings at Coursera

Learn to create impactful data visualizations using R and tidyverse. Import data, manipulate it effectively, and produce simple reports with R Markdown. Ideal for beginners seeking practical skills in data visualization.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Credential

Data Literacy

267 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Calculus through Data & Modeling: Limits & Derivatives

209 ratings at Coursera

Explore limits and derivatives in calculus through data modeling, learning to analyze rates of change and apply mathematical concepts to real-world scenarios.

• Coursera
• 9 hours 36 minutes
• Self-Paced
• Paid Course

Clinical Trials Data Management and Quality Assurance

186 ratings at Coursera

Learn to manage clinical trial data, ensure quality, and maintain integrity through effective collection, organization, monitoring, and quality assurance practices for successful research outcomes.

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

Data – What It Is, What We Can Do With It

183 ratings at Coursera

Explore data analysis fundamentals, including theory development, causal inference, descriptive statistics, and data visualization. Gain essential tools for interpreting and evaluating data-driven insights across various fields.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Building Data Visualization Tools

158 ratings at Coursera

Develop skills to create custom visualization tools using ggplot2, focusing on new techniques for diverse data types and building blocks to address evolving data science needs.

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

Credential

Evaluating Large-Scale Health Programs

154 ratings at Coursera

Learn to plan and implement effectiveness evaluations of large-scale health programs in low- and middle-income countries, covering methods, tools, and practical skills for rigorous assessment.

• Coursera
• 24 weeks, 3 hours/week
• Self-Paced
• Paid Course
• 6 courses

Credential

Integral Calculus through Data and Modeling

142 ratings at Coursera

Develop integral calculus skills through data analysis, scientific computing, and mathematical modeling. Apply techniques to real-world problems in natural and social sciences.

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

Data Visualization in R with ggplot2

132 ratings at Coursera

Learn to create and refine powerful data visualizations using ggplot2 in R. Master the grammar of graphics, explore various plot types, and enhance your plots with advanced graphical elements.

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

Calculus through Data & Modeling: Precalculus Review

121 ratings at Coursera

Review of key precalculus concepts for calculus, focusing on functions, modeling, and data analysis. Covers exponential, logarithmic, and trigonometric functions, vectors, and equations of lines and planes.

• Coursera
• 7 hours 56 minutes
• Self-Paced
• Paid Course

Credential

Tidyverse Skills for Data Science in R

110 ratings at Coursera

Master data science with R's Tidyverse: import, wrangle, visualize, and model data using powerful and scalable tools. Gain practical skills for the entire data science project lifecycle.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Clinical Trials Analysis, Monitoring, and Presentation

91 ratings at Coursera

Learn advanced skills for clinical trial management, including sample size calculation, statistical monitoring, result reporting, and the analyst's role throughout the process.

• Coursera
• 4 hours 42 minutes
• Self-Paced
• Paid Course

Measurement – Turning Concepts into Data

82 ratings at Coursera

Aprenda a criar e avaliar medidas quantitativas para conceitos complexos. Explore níveis de medição, construção de modelos, pesquisas e avaliação da qualidade das medidas para análises eficazes.

• Coursera
• 11 hours 4 minutes
• Self-Paced
• Paid Course