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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Introduction to Probability and Data with R certification is a small-term course that is offered by Duke University, and the certification is guaranteed by Coursera. This is an online course that is presented during a time period of 8 whole weeks in a total span of 14 hours. With this certification course, candidates will be becoming familiar with ways to sampling, and data exploration. 

Introduction to Probability and Data with R training falls under the course specialization of Statistics with R and is the first course in this specialization. Coming with subtitles in 10 languages, this course is a beginner or introductory level programme. Learners will be tested with both lab exercises, for correctly grasping the entire knowledge. Whatever techniques shall be taught will be acting as the building blocks for other courses present in the Specialization. All this will lead the students to pursue careers as data scientists, or statistical analysts.

The Highlights

  • 8 weeks programme
  • 100% online course
  • 14 hours of classes
  • Beginner level course
  • Learning by self
  • 10 subtitles available
  • Certificate by Coursera

Programme Offerings

  • Online Course
  • Shareable Certificate
  • Flexible Deadlines
  • Graded Assignments
  • English Course
  • 10 Subtitles Available
  • Lectures
  • videos
  • Readings
  • Practice Exercises
  • Discussion Forums.

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCoursera

Introduction to Probability and Data with R certification fee every month after the trial period of 7 days is Rs. 4,085. The free trial window is calculated from the time when the candidate is enrolled.

Introduction to Probability and Data with R Fee Structure

Course name

Fee in INR

Audit mode Free

Introduction to Probability and Data with R (1 month)

Rs. 4,115

Introduction to Probability and Data with R (3 months)
Rs. 8,230
Introduction to Probability and Data with R (6 months)
Rs. 12,345

Eligibility Criteria

Educational Qualification

  • Having knowledge of Korean, Italian, French, Russian,  Portuguese (European), Spanish, Vietnamese, English, German, and Arabic, might prove to be beneficial. preferable.

Certification Qualifying Details

  • For the Introduction to Probability and Data with R certification by Coursera, participants will have to complete quizzes, projects, and go through readings, and videos on course topics.

What you will learn

Statistical skillsR Programming

With the help of the Introduction to Probability and Data with R certification syllabus learners will examine different kinds of sampling methods involved in probability whose efficiency impacting the inference scope can also be judged. Also, the students will be allowed to cover techniques of data analysis like data visualization and numeric summary statistics. Again, free software like RStudio, and R will be taught to install and use by this programme.


Who it is for

This course is recommended for people who are already experienced requiring a refresh or are somewhat newbies to data analysis.


Admission Details

Introduction to Probability and Data with R admission process is as follows:

Step 1: Visit the official website: https://www.coursera.org/learn/probability-intro

Step 2: The ‘Enroll for free’ button has to be clicked that participants can see on the right part of the official website.

Step 3: As the button is clicked the candidates will immediately have to fill up a small sign up form.

Step 4: As they sign up, and then log in with the same, they will be asked to search for financial aid, and pay the fee.

Step 5: During the last step, the admission is secured after all the steps are fully over.

Application Details

Applying to the Introduction to Probability and Data with R online course takes literally a few minutes. All that needs to be done by the candidates is signing up on the provider Coursera’s platform by fitting in some details on the website. No other application form has to be duly submitted other than filling the signup form.

The Syllabus

Videos
  • Introduction to Statistics with R

Reading
  • More about Introduction to Probability and Data

Videos
  • Introduction
  • Data Basics
  • Observational Studies & Experiments
  • Sampling and sources of bias
  • Experimental Design
  • (Spotlight) Random Sample Assignment
Readings
  • Lesson Learning Objectives
  • Suggested Readings and Practice
Practice Exercises
  • Week 1 Practice Quiz
  • Week 1 Quiz

Reading
  • About Lab Choices (Read Before Selection)
  • Week 1 Lab Instructions (RStudio)
Practice Exercise
  • Week 1 Lab: Introduction to R and RStudio

Videos
  • Visualizing Numerical Data
  • Measures of Center
  • Measures of Spread
  • Robust Statistics
  • Transforming Data
  • Exploring Categorical Variables
  • Introduction to Inference
Readings
  • Lesson Learning Objectives
  • Lesson Learning Objectives
  • Suggested Readings and Practice
Practice Exercises
  • Lesson Learning Objectives
  • Lesson Learning Objectives
  • Suggested Readings and Practice

Readings
  • Week 2 Lab Instructions (RStudio)
  • Week 2 Lab Instructions (RStudio Cloud)
Practice Exercises
  • Week 2 Lab: Introduction to Data

Videos
  • Introduction
  • Disjoint Events + General Addition Rule
  • Independence
  • Probability Examples
  • (Spotlight) Disjoint vs. Independent
  • Conditional Probability
  • Probability Trees
  • Bayesian Inference
  • Examples of Bayesian Inference
Readings
  • Lesson Learning Objectives
  • Lesson Learning Objectives
  • Suggested Readings and Practice
Practice Exercises
  • Week 3 Practice Quiz
  • Week 3 Quiz

Readings
  • Week 3 Lab Instructions (RStudio)
  • Week 3 Lab Instructions (RStudio Cloud)
Practice Exercises
  • Week 3 Lab: Probability

Videos
  • Normal Distribution
  • Evaluating the Normal Distribution
  • Working with the Normal Distribution
  • Binomial Distribution
  • Normal Approximation to Binomial
  • Working with the Binomial Distribution
Readings
  • Lesson Learning Objectives
  • Lesson Learning Objectives
  • Suggested Readings and Practice
  • Project Instructions, Data Files, and Checklist
Practice Exercises
  • Week 4 Practice Quiz
  • Week 4 Quiz

Instructors

Duke University, Durham Frequently Asked Questions (FAQ's)

1: What are the chances of getting a Duke University transcript for this programme?

The chances of getting a Duke University transcript is zero as academic credits aren’t available for the programme.

2: Is there any course registration fee that is asked of the students before starting the Introduction to Probability and Data with R programme?

 Any course registration fee is not separately charged from the students.

3: While participating in discussion forums, how can candidates report abuse?

 For reporting abuse, candidates have to contact Coursera through their ‘contact us’ page.

4: How many reviews does one see for the Introduction to Probability and Data with R certification course on the official website?

The number of reviews that are visible on the website for this course is more than 1000.

5: Is this programme included in the Coursera Plus module?

Yes, this programme is definitely included in the module of Coursera Plus.

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