Health Data Analysis Courses

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• Self-Paced
• Paid Course
• 17 courses

Engineering Genetic Circuits: Modeling and Analysis

Learn to model, simulate, and analyze genetic circuits using SBML, ODEs, and stochastic methods. Explore advanced algorithms and apply computational analysis for optimal genetic circuit design.

• Coursera
• 1 day 52 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics and Applied Data Analysis

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

BiteSize Python: Data Visualization

Master data visualization in Python using Matplotlib, Seaborn, and Plotly to create compelling static and interactive graphics. Learn essential techniques for effective data communication through hands-on practice.

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

Object-Oriented Analysis and Design: Practice & Architecture

Master object-oriented analysis and design principles, from domain modeling to architectural patterns, with hands-on projects applying UML, design patterns, and advanced OO frameworks in Java-based applications.

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

Statistics and Data Analysis with R

Master statistical analysis using RStudio through hands-on practice with probability, hypothesis testing, regression, and ANOVA. Learn to manipulate data, create visualizations, and perform complex calculations using R programming.

• Coursera
• 3 days 23 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Visualization & Analytics in Tableau

Master data visualization with Tableau, learning to create effective visualizations, dashboards, and stories that transform complex data into clear insights, enhancing your analytics skills and marketability.

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

Career Certificate

Object-Oriented Analysis & Design

Master key patterns, principles, and practices for effective object-oriented design and analysis. Create resilient, testable, and maintainable code while developing professional solutions to real-world problems using Java and UML.

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

Career Certificate

Software Architecture for Big Data

Learn principles and patterns for architecting large-scale distributed systems that handle big data. Gain industry insights on building performant software for data-intensive applications.

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

Statistical Inference and Hypothesis Testing in Data Science Applications

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

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

Probability Foundations for Data Science and AI

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

Statistical Estimation for Data Science and AI

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Modern Regression Analysis in R

Foundational statistical modeling tools for data science, covering linear models, parameter estimation, diagnostics, and ethical implications. Practical skills in R for regression analysis and model selection.

• Coursera
• 1 day 21 hours 27 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course

Measurement Systems Analysis

Analyze measurement systems for process stability and capability, covering continuous and discrete data analysis, ANOVA, correlation, and decision-making for process improvement using R software.

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