Data Protection Courses

Data Science as a Field

Explore data science's evolution, applications, and methodologies. Learn about the data analysis process, pitfalls, and effective communication of results in various professional settings.

• Coursera
• 10 hours 56 minutes
• Self-Paced
• Paid Course

Ethical Issues in Data Science

Explore ethical challenges in data science, including privacy, security, bias, and medical applications. Gain insights to navigate ethical considerations in your data science career.

• Coursera
• 23 hours 52 minutes
• Self-Paced
• Paid Course

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• Self-Paced
• Paid Course
• 17 courses

Managing, Describing, and Analyzing Data

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course

Data Mining Pipeline

Explore key steps in data mining: understanding, preprocessing, warehousing, modeling, interpretation, and real-world applications. Gain practical skills for effective data analysis and decision-making.

• Coursera
• 21 hours 54 minutes
• Self-Paced
• Paid Course

Career Certificate

Vital Skills for Data Science

Explore key areas in data science, including ethics, cybersecurity, and visualization. Gain practical skills and insights to determine your interests and future specialization in this diverse field.

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

Career Certificate

Statistical Modeling for Data Science Applications

Develop advanced statistical modeling skills for data science, including linear regression, ANOVA, and generalized linear models, with practical applications using R programming.

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

Probability Foundations for Data Science and AI

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

Statistical Estimation for Data Science and AI

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Statistical Inference and Hypothesis Testing in Data Science Applications

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 40 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Visualization

Explore data visualization design, development, and evaluation. Learn to create effective visualizations, use exploratory tools, and craft data narratives through hands-on experience with user-centered design and web-based techniques.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Data Mining Methods

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 25 minutes
• Self-Paced
• Paid Course

Career Certificate

Software Architecture for Big Data

Learn principles and patterns for architecting large-scale distributed systems that handle big data. Gain industry insights on building performant software for data-intensive applications.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

• Coursera
• 8 hours 1 minute
• Self-Paced
• Paid Course

Career Certificate

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course