• Anytime
    Application Deadline
  • 7 months
    Duration
This Statistics with R offered by Coursera in partnership with Duke University will help in your statistical mastery of data analysis including inference, modeling, and Bayesian approaches.
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Overview

The programme

In this Statistics with R offered by Coursera in partnership with Duke University, 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 modeling, suitable for applying for statistical analysis or data scientist positions.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 7 months
    • Duration description
      • Approx. 7 months to complete
      • Suggested 5 hours/week
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

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

Details on Coursera Plus:

  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
  • Save money: Spend less money on your learning if you plan to take multiple courses this year
  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Beginner Level

Tuition Fee

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access. For specializations there is a 7-day Free Trial. If you invite a friend to get started on Coursera you will both get 50% off a course or the first month of a Specialization subscription.

Visit Programme Website

Funding

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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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