Fundamentals of Data Analytics
Developed by LEAPS, this course covers the fundamentals of statistical concepts. It shows students how to apply analytics to solve business cases with real data. By the time students are finished, they will be proficient in several analytical methods.
Produced in 2017
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Course Description
data science Awards Best Practical Course
Data Analytics is rapidly becoming one of the most critical drivers for any decision-making, at an individual or a business level. At the heart of Data analytics, lies the fundamentals of statistics. This course will help you learn basic statistical concepts with practical problem solving and interpretation through application of the theoretical learnings. The course has been divided into 3 modules with Simulations, Quizzes and Solve within each of those.
Pros
Cons
- Course takes a streamlined look at foundational statistical methods, like probability distributions and frequently applied statistical tests.
- Course strongly covers hypothesis testing.
- Course is not overly long, helping students avoid statistics fatigue.
- Course does not go beyond the stated fundamentals at all. Students will need many more resources to truly understand data analytics.
- While the course uses real examples, it is overly focused on narrow business applications.
- Website hosting the course is clunky.
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