Data Protection Courses

Excel for Everyone: Data Management

30 ratings at edX

Further your Excel skills to manage larger datasets and more complex data wrangling, management and modelling.

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

Excel for Everyone: Data Analysis Fundamentals

27 ratings at edX

Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.

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

Microcredential

Survey Data Collection and Analytics

Comprehensive exploration of survey methodologies, covering questionnaire design, data collection, sampling, missing data handling, and complex data analysis for various research domains.

• Coursera
• 35 weeks, 3 hours a week
• On-Demand
• Paid Course
• 7 courses

Data Collection: Online, Telephone and Face-to-face

353 ratings at Coursera

Explore survey data collection methods, their impact on data quality, and tradeoffs between error sources. Learn about classic and emerging modes, interviewing techniques, and alternative data sources.

• Coursera
• 21 hours 17 minutes
• On-Demand
• Paid Course

Arranging and Visualizing Data in R

Explore R for data manipulation and visualization, covering environment setup, data wrangling with tidyverse, creating publication-ready plots, and establishing efficient project workflows.

• Coursera
• 18 hours 48 minutes
• On-Demand
• Paid Course

Information Extraction from Free Text Data in Health

Learn advanced machine learning and NLP techniques to extract information from unstructured healthcare documents. Develop skills in medical entity recognition, clinical data extraction, and deep learning for health information analysis.

• Coursera
• 1 day 4 minutes
• On-Demand
• Paid Course

Foundations of Sports Analytics: Data, Representation, and Models in Sports

204 ratings at Coursera

Explore Python-based sports analytics techniques to analyze team and player performance across major leagues, focusing on regression analysis and data representation methods.

• Coursera
• 2 days 1 hour 24 minutes
• On-Demand
• Paid Course

Measuring Total Data Quality

Explore metrics for evaluating Total Data Quality at various stages, create quality concept maps, and apply metrics to real data. Learn to assess trade-offs and identify relevant tools for quality evaluation.

• Coursera
• 9 hours 1 minute
• On-Demand
• Paid Course

Logistic Regression and Prediction for Health Data

Analyze binary outcomes, compare proportions, fit logistic regressions, make predictions, and assess model quality using R. Gain practical skills for health data analysis through lectures and guided coding.

• Coursera
• 11 hours 18 minutes
• On-Demand
• Paid Course

Design Strategies for Maximizing Total Data Quality

Explore strategies to maximize data quality across collection, processing, and analysis stages. Learn to assess and improve validity, origin, access, and source quality while minimizing data missingness.

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

Microcredential

Data Analytics in the Public Sector with R

100 ratings at Coursera

Equip yourself with R programming skills to analyze public sector data, informing policy decisions and administrative functions through data manipulation, visualization, and interpretation.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course

Linear Regression Modeling for Health Data

Explore statistical modeling for health data, covering t-tests, linear regression, and multiple predictors. Gain practical skills through lectures, guided coding, and exercises.

• Coursera
• 13 hours 3 minutes
• On-Demand
• Paid Course

Data Structures in C

71 ratings at Coursera

Learn to optimize memory usage, manage data efficiently, and create custom data types in C using pointers, arrays, and structures for improved programming skills.

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

Microcredential

Total Data Quality

58 ratings at Coursera

Explore the Total Data Quality framework, focusing on evaluating and maximizing data quality before analysis. Learn essential steps for data collection, understanding sources, and improving quality in scientific investigations.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Fundamentals of Data Analytics in the Public Sector with R

56 ratings at Coursera

Learn foundational R programming for public sector data analysis, covering key concepts, tidyverse libraries, and custom functions to analyze population and survey data effectively.

• Coursera
• 14 hours 42 minutes
• On-Demand
• Paid Course