Data Protection Courses

Importing Data in the Tidyverse

Learn to import and harmonize data from various formats using Tidyverse tools in R. Master techniques for handling delimited files, spreadsheets, databases, web scraping, and APIs to prepare data for analysis and visualization.

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

Data Use for Disease Control & Global Health Decision-Making

Learn epidemiologic surveillance techniques, best practices for healthcare data collection and analysis, and apply lessons from the polio eradication effort to inform global health decision-making and planning.

• Coursera
• 9 hours 45 minutes
• Self-Paced
• Paid Course

Building Data Visualization Tools

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

Calculus through Data & Modelling: Series and Integration

Explore sequences, series, and integration in calculus. Apply these concepts to analyze real-world data, model phenomena, and critique policies across various disciplines.

• Coursera
• 8 hours 50 minutes
• Self-Paced
• Paid Course

Clinical Trials Data Management and Quality Assurance

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 Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

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

Der Werkzeugkasten des Data Scientist

Einführung in die wichtigsten Tools und Konzepte der Data Science: R, RStudio, Git, GitHub und R Markdown. Vermittelt Grundlagen der Datenanalyse, Versionskontrolle und wissenschaftlichen Methodik.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Data Literacy Capstone – Evaluating Research

Apply data literacy skills to critically evaluate original quantitative research, interpreting findings and methodologies. Enhance ability to analyze and utilize scholarly work through hands-on project and peer review.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course

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

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

Exploratory Data Analysis

Mastering essential exploratory techniques for summarizing data, including R plotting systems, multivariate statistical methods, and advanced graphing tools for high-dimensional data visualization.

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

Data and Electronic Health Records

Explore the role of data and electronic health records in ambulatory healthcare, covering healthcare data basics, integrity, HIPAA regulations, and EHR utilization for improved patient care and operational efficiency.

• Coursera
• 8 hours
• 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

Data to Advance Population Health: Global Perspectives

Explore methodologies for leveraging population-level data to strengthen public health programs and policies, with insights from global experts on data generation, analysis, and application for informed decision-making.

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

Gender Foundations in Health Data: A Data for Health Course

Explore gender integration in global health data, policy, and practice. Learn to apply a gender lens in data collection, analysis, and use for improved public health outcomes.

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