WisconsinX: Statistics Using Python
Learn the fundamentals of statistics using Python.

- Certification
- Certificate of completion
- Duration
- 8 weeks
- Price Value
- $ 1075
- Difficulty Level
- Introductory
Learn the fundamentals of statistics using Python.
An introductory-level course by WisconsinX
"Statistics for Business: A Data-Driven Approach" is an introductory-level course offered by WisconsinX, designed to provide a comprehensive statistics-primer for aspiring business analysts and data enthusiasts. This foundational statistics-course combines theoretical concepts with practical applications, offering students a robust understanding of statistical methods essential for data-driven business analysis.
This introductory-statistics-course is designed for beginners, and there are no specific prerequisites. However, basic computer literacy and a willingness to learn Python programming will be beneficial.
By mastering these foundational-statistics-concepts and Python programming skills, learners will be well-equipped to tackle complex business challenges and drive data-driven strategies in their organizations. The course's focus on statistics-and-python-programming provides a powerful toolkit for extracting meaningful insights from business data, giving graduates a competitive edge in today's data-centric business landscape.
As part of the MicroMasters® Program in Business: Data, Insights and Analytics, this course serves as an excellent starting point for those looking to build a career in business analytics or data science. The combination of theoretical knowledge and practical skills in Python makes this course an invaluable asset for anyone seeking to harness the power of data in their professional pursuits.
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This course introduces the basic tools and methods of statistical analysis, which can be applied to a wide variety of situations and data encountered in the areas of business and economics. Topics discussed include descriptive statistics, probability, sampling distributions, estimation, and hypothesis testing. By the end of the semester students should be able to compute and interpret basic descriptive statistical measures, understand the basic concepts of probability, and apply techniques of statistical inference.
The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
This course covers the basics of the Python programming language, and is targeted to students who have no programming experience. The course begins by establishing a strong foundation in basic programming concepts. Through engaging lessons and practical exercises, students will master essential topics such as variables, relational and boolean operators, control statements, and input/output operations. Building on this solid groundwork, students will program with functions, lists, and tuples. In the final phase of the course, students will unlock the full potential of Python by harnessing the capabilities of the popular NumPy library.