Affiliate Post ENGINEERING Statistics

Statistics with R Specialization by Duke University [Online]: Registrations Open

By: Rashmi | 28 Oct 2019 5:04 PM

About the Specialization

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.

You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modelling, suitable for applying for statistical analysis or data scientist positions.

Hands-on Project

Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.

There are 5 Courses in this Specialization

  • Introduction to Probability and Data
  • Inferential Statistics
  • Linear Regression and Modeling
  • Bayesian Statistics
  • Statistics with R Capstone

Instructors

  • Mine Çetinkaya-Rundel, Associate Professor of the Practice, Department of Statistical Science
  • David Banks, Professor of the Practice, Statistical Science
  • Colin Rundel, Assistant Professor of the Practice, Statistical Science
  • Merlise A Clyde, Professor, Department of Statistical Science

Financial Aid

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the “Enroll” button on the left. You’ll be prompted to complete an application and will be notified if you are approved. You’ll need to complete this step for each course in the Specialization, including the Capstone Project.

To enroll for this course, click the link below.

Statistics with R Specialization by Duke University

Note: NoticeBard is associated with Coursera through an affiliate programme and gets a percentage commission from the fees.

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Rashmi

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