Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
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.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | Coursera |
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 |
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.
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.
This course is recommended for people who are already experienced requiring a refresh or are somewhat newbies to data analysis.
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.
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.
Introduction to Statistics with R
More about Introduction to Probability and Data
Week 1 Lab: Introduction to R and RStudio
The chances of getting a Duke University transcript is zero as academic credits aren’t available for the programme.
Any course registration fee is not separately charged from the students.
For reporting abuse, candidates have to contact Coursera through their ‘contact us’ page.
The number of reviews that are visible on the website for this course is more than 1000.
Yes, this programme is definitely included in the module of Coursera Plus.