Data Protection Courses

Principles, Statistical and Computational Tools for Reproducible Data Science

12 ratings at edX

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

• edX
• 8 weeks, 3-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Data Analysis for Genomics

Unlock genomics' potential: Analyze and interpret high-throughput data using R and Bioconductor. Master key concepts through coding, from basic to advanced techniques in functional genomics and data visualization.

• edX
• 13 weeks, 2-4 hours/week
• Self-Paced
• $657.00
• 3 courses

Credential

Data Science

Comprehensive data science program covering R programming, statistics, visualization, and machine learning through real-world case studies and hands-on projects.

• edX
• 66 weeks, 2-4 hours/week
• Self-Paced
• $1,481.00
• 9 courses

Credential

Learning Python for Data Science

Master Python for data science: from basics to machine learning and AI. Develop programming, statistical, and quantitative skills through hands-on learning. No prior coding experience needed.

• edX
• 25 weeks, 3-6 hours/week
• Self-Paced
• $747.00
• 3 courses

Credential

Computer Science for Data Science

Dive into the fundamentals of computer science and R programming for data analysis. Master abstraction, algorithms, data structures, and statistical computing to manipulate data, create visualizations, and develop actionable insights from massive dataset…

• edX
• 19 weeks, 6-15 hours/week
• Self-Paced
• $518.00
• 2 courses

Credential

Python for Data Science and Machine Learning

Dive into Python for data science and machine learning, gaining practical skills in sklearn, Pandas, matplotlib, and numPy to build complex data sets and analyze them for a career in this high-demand field.

• edX
• 14 weeks, 3-4 hours/week
• Self-Paced
• $598.00
• 2 courses

Credential

Data Analysis for Life Sciences

Comprehensive R programming series for life sciences data analysis, covering statistics, linear models, high-throughput experiments, and high-dimensional data techniques to drive biomedical research and discoveries.

• edX
• 16 weeks, 2-4 hours/week
• Self-Paced
• $876.00
• 4 courses

Data Visualization

21 ratings

Learn to create effective data visualizations using design principles, human cognition insights, and tools like Tableau. Gain skills to extract insights and communicate them compellingly across various data types.

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

Pattern Discovery in Data Mining

21 ratings

Explore data mining concepts, methodologies, and applications, focusing on pattern discovery. Learn scalable methods for massive transactional data, evaluation measures, and techniques for mining diverse patterns.

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

Developing Data Products

17 ratings

Aprenda a criar produtos de dados interativos usando R, Shiny, e ferramentas de visualização. Desenvolva habilidades para contar histórias com dados e criar aplicações analíticas.

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

Python Data Structures

15 ratings

Explore Python's core data structures and advance beyond procedural programming to perform complex data analysis using lists, dictionaries, and tuples.

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

Databases: Semistructured Data

1 rating

Explore semistructured data in databases, covering XML, JSON, and querying techniques. Gain practical skills for handling flexible data formats in modern applications.

• edX
• 2 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Graph Search, Shortest Paths, and Data Structures

1998 ratings at Coursera

Explore data structures, graph algorithms, and their applications in computer science, from search techniques to social network analysis.

• Coursera
• 13 hours 32 minutes
• Self-Paced
• Paid Course

Python for Genomic Data Science

15 ratings

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 8-9 hours
• Self-Paced
• Paid Course

Introduction to Clinical Data

506 ratings at Coursera

Learn to ethically mine clinical data, construct analysis-ready datasets, and apply computational procedures to answer healthcare questions while addressing fairness and bias in medical decision-making.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course