Coursera Data Analysis

Build a Foundation for your Data Science Skills. Master a wide range of math underlying Data Science and learn how to apply it in practice.

Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, and modeling

Teach Impacts of Computing in K-12. Be prepared to help students understand computing and its impacts in their digital worlds.

Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

Business Tools for Successful Execution. Apply economic theory and analytical tools to make effective business decisions.

Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.

Make Data-Driven Business Decisions. Achieve fluency in business data strategies in four discipline-specific courses.

Unlock Value in Massive Datasets. Learn fundamental big data methods in six straightforward courses.

The role of an Analyst is dynamic, complex, and driven by a variety of skills. These skills range from a basic understanding of financial statement data and non-financial metrics that can be linked to financial performance, to a deeper dive into business and financial modeling.

Critically Analyze Research and Results Using R. Learn to recognize sloppy science, perform solid research and do appropriate data analysis.