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Statistical Analysis for Data Science

Join Statistical Analysis for Data Science CERTIFICATION PROGRAM

Learn statistics for data science and build a solid understanding of data models to gain valuable insights and solve complex business problems.
  • Studying Hours

    15

  • Studying Weeks

    2

  • Students Empowered

    150+

  • Hiring Partners

    65+

Earn an industry-wide recognised Statistical Analysis for Data Science certification.

A solid foundation in statistics and probability for data science can help you to refine your understanding of data.

The Statistical Analysis for Data Science certification by Manipal ProLearn will teach you the fundamental concepts of probability and statistics for data science such as measures of central tendency, measures of dispersion, visual representation of data, conditional probability, and sampling techniques.

You will also learn advanced concepts such as testing of hypothesis, ANOVA and correlations and use these approaches to understand and gain insights from data.

  • 25+ Hours
  • 24x7 Online LMS
  • Module-end Quizzes
  • Final Assessment Exam

key benefits

After completing the statistics course for data science, you’ll be considered as a strong and competent statistician. The course will help you to:

Learn the concepts of statistics such as measure of central tendency, measure of dispersion, and visual representation of data.

Learn probability, conditional probability, sampling and sampling techniques.

Learn advanced concepts such as testing of hypothesis, ANOVA and correlations.

Acquire the skills to solve real-life business problems using statistical models.

Who Should Attend

Beginners in Analytics domain

Engineering/IT Graduates

Management/Commerce Graduates

People who want to upskill themselves in Analytics