Data Protection Courses

Introductory Statistics : Analyzing Data Using Graphs and Statistics

This course teaches basic statistical concepts andexplores many compelling applications of statistical methodsusing real-life applications of Statistics.

• edX
• 5 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course

Demystifying Biomedical Big Data: A User’s Guide

Whether you are a student, basic scientist, researcher, clinician, or librarian, this course is designed to help you understand, analyze, and interpret biomedical big data.

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

Goldsmiths University of London;  University of London

Foundations of Data Science: K-Means Clustering in Python

735 ratings at Coursera

Learn essential data science concepts, focusing on K-means clustering in Python. Develop mathematical, statistical, and programming skills through hands-on exercises and a practical data clustering project.

• Coursera
• 1 day 5 hours 8 minutes
• Self-Paced
• Paid Course

Using clinical health data for better healthcare

118 ratings at Coursera

Explore digital health data analytics, from quality input to deriving insights. Learn to analyze, visualize, and communicate health data effectively for improved healthcare decision-making and outcomes.

• Coursera
• 15 hours 27 minutes
• Self-Paced
• Paid Course

Goldsmiths University of London;  University of London

C++ Programming: Classes and Data

65 ratings at Coursera

Learn to create C++ classes, combine data into units, and write class functions. Explore header files, member functions, and data type selection for effective object-oriented programming.

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

Credential

Data & Finance for the future

500 ratings at Coursera

Desenvolva habilidades avançadas em análise de dados para tomada de decisões financeiras, incluindo avaliação de riscos, valoração de investimentos e planejamento financeiro estratégico com aplicações do mundo real.

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

Data-Driven Animation for Science Communication

14 ratings at Coursera

Learn to create scientific animations using data visualization, digital illustration, and 2D/3D animation techniques. Develop skills in Adobe Creative Suite and Autodesk Maya to produce compelling visual stories for research communication.

• Coursera
• 1 day 4 hours
• Self-Paced
• Paid Course

Credential

Mathematical Foundations for Data Science and Analytics

12 ratings at Coursera

Master essential mathematical concepts including linear algebra, statistics, calculus, and probability theory to build strong foundations for data science and analytics careers.

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

Data Visualization & Cloud Technologies

Learn to use data visualization and cloud technologies for business analytics.

• edX
• 8 weeks, 12-15 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Business: Data, Insights and Analytics

Gain skills in data visualization, database management, statistics, programming, and cloud computing to become a proficient business analyst capable of converting data into actionable insights.

• edX
• 24 weeks, 12-15 hours/week
• Self-Paced
• $3,225.00

Data and Information Privacy

Discover data privacy fundamentals, global regulations, PII/PHI protection, encryption, risk assessment, and responsible data lifecycle management practices.

• edX
• 4 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Data Visualization Fundamentals in Python

Master Python data visualization using Matplotlib and Seaborn to transform complex datasets into compelling visual narratives and communicate insights effectively.

• Coursera
• 22 hours 37 minutes
• Self-Paced
• Paid Course

Interactive, Geospatial & Narrative Data Visualization

Unlock interactive dashboards, geospatial mapping, and narrative storytelling techniques using Python and Tableau to transform complex data into compelling visual experiences.

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

Linear Algebra and Regression Fundamentals for Data Science

Master linear algebra and regression techniques using Python to build essential mathematical foundations for data science applications and predictive modeling.

• Coursera
• 16 hours 26 minutes
• Self-Paced
• Paid Course

Statistics and Calculus Methods for Data Analysis

Master essential mathematical foundations for data science through statistics, calculus, and Python applications in expected values, derivatives, and integrals.

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