Data Protection Courses

Exploratory Data Analysis for the Public Sector with ggplot

11 ratings at Coursera

Develop data visualization skills using R and ggplot2 for public sector analysis. Learn to create informative charts, explore distributions, and apply best practices in data presentation for public administration.

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

Data Mining in Python

11 ratings at Coursera

Discover how to extract valuable insights from large datasets using Python, covering itemsets, vectors, matrices, and sequences with real-world applications.

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

Credential

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
• Self-Paced
• Paid Course
• 7 courses

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Answering Interesting Questions with Data

Learn to scrape, manage, and visualize data from the internet using Python, SQL, and various tools. Develop skills to answer complex questions through effective data analysis and representation.

• Coursera
• 1 day 5 hours 32 minutes
• Self-Paced
• Paid Course

Data Augmented Technology Assisted Medical Decision Making

Learn to leverage AI for enhanced medical diagnostics, interpret ML models, critically evaluate AI studies, and navigate ethical considerations in AI-assisted healthcare decision-making.

• Coursera
• 11 hours 41 minutes
• Self-Paced
• Paid Course

Data Structures for Designers Using Python

Explore data structures and object-oriented programming in Python for design applications. Learn to use Processing for visual content creation and vector math for efficient data management in creative projects.

• Coursera
• 1 day 2 hours 51 minutes
• Self-Paced
• Paid Course

Storytelling and Persuading with Data and Digital Technology

9 ratings

Learn to craft compelling data-driven stories, create insightful visualizations, and build persuasive presentations for business professionals. Develop skills in customer training to enhance product engagement and digital transformation success.

• Coursera
• 6 hours 57 minutes
• Self-Paced
• Paid Course

Credential

Applied Data Science with Python

19754 ratings at Simplilearn

Discover Python's essential tools and techniques for data science, including advanced statistics, in this comprehensive 5-week program.

• Simplilearn
• 5 weeks
• Self-Paced
• Paid Course

Foundations of Data Analysis - Part 1: Statistics Using R

8 ratings

Use R to learn fundamental statistical topics such as descriptive statistics and modeling.

• edX
• 6 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course