Data Protection Courses

Microcredential

Data Science

9 reviews

Master the complete data science pipeline: from asking questions to publishing results. Gain practical skills in data manipulation, visualization, and analysis through hands-on projects using real-world data.

• Coursera
• 48 weeks, 7 hours a week
• On-Demand
• Paid Course
• 11 courses

Introduction to Probability and Data with R

6 reviews

Learn sampling, data exploration, and basic probability using R. Gain practical skills in statistical analysis through hands-on exercises and a final project.

• Coursera
• 14 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Cluster Analysis in Data Mining

7 reviews

Explore clustering methodologies, algorithms, and applications in data mining. Learn partitioning, hierarchical, and density-based methods, along with validation techniques and real-world examples.

• Coursera
• 16 hours 30 minutes
• On-Demand
• Free Online Course (Audit)

Data Structures: An Active Learning Approach

5 reviews

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

• edX
• 10 weeks, 6-7 hours a week
• On-Demand
• Free Online Course (Audit)

Computing for Data Analysis

6 reviews

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

• edX
• 15 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Statistics for Genomic Data Science

363 ratings at Coursera

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 9-10 hours
• On-Demand
• Free Online Course (Audit)

A Crash Course in Causality: Inferring Causal Effects from Observational Data

557 ratings at Coursera

Explore causal inference methods, from defining effects with potential outcomes to implementing techniques like matching and instrumental variables, with hands-on R examples.

• Coursera
• 18 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Big Data and Education

1 review

Learn the methods and strategies for using large-scale educational data to improve education and make discoveries about learning.

• edX
• 8 weeks, 6-12 hours a week
• On-Demand
• Free Online Course (Audit)

Business Ethics: Exploring Big Data and Tax Avoidance

8 reviews

Learn why big data and tax avoidance are some of the biggest ethical issues facing businesses today and how they can be addressed.

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

Foundations of Data Analysis - Part 1: Statistics Using R

8 reviews

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

• edX
• 6 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Learning from Data (Introductory Machine Learning course)

10 reviews

Comprehensive introduction to machine learning theory, algorithms, and applications, balancing mathematical foundations with practical insights for students from diverse backgrounds.

• Independent
• 10 weeks
• On-Demand
• Free Online Course

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

5 reviews

Explore advanced data structures like AVL and 2-4 trees, and dive into sorting algorithms including iterative and divide-and-conquer methods. Gain practical skills in implementing and analyzing efficient algorithms.

• edX
• 5 weeks, 9-10 hours a week
• On-Demand
• Free Online Course (Audit)

Executive Data Science Capstone

1554 ratings at Coursera

Lead a virtual data science team at Zillow, making key decisions to shepherd a complex analysis project from start to finish. Apply your skills in a real-world scenario and prepare a final presentation.

• Coursera
• 2 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Fitting Statistical Models to Data with Python

690 ratings at Coursera

Explore statistical modeling techniques like regression and Bayesian inference. Learn to fit models to data, assess quality, and generate predictions using Python libraries such as Statsmodels and Pandas.

• Coursera
• 14 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Data Science Ethics

1110 ratings at Coursera

Explore ethical considerations in data science, including privacy, ownership, consent, and fairness. Learn to navigate complex issues and develop a responsible approach to data management and analysis.

• Coursera
• 14 hours 52 minutes
• On-Demand
• Free Online Course (Audit)