Inferential Statistics
Learn the most frequently used statistical inference methods for categorical, and numerical data with the Inferential Statistics online course.
Beginner
Online
2 Weeks
1,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Inferential Statistics certification is a 2 weeks online course that belongs to the specialization of Statistics with R. This programme is course number 2 of 5 whose main focus is inferential statistics. The course belongs to a beginner level which only has a time requirement of 10 hours spread over the 2 weeks duration. Not only an end certificate is provided but also the study time can be reset at whatever time suits the candidates,
Inferential Statistics training does help perform hypothesis testing, report the analysis of results by interpreting p-values, so that whatever is reported can be interpreted easily for the public or even the clients. Participants can learn to use the data examples that will help to report the estimates related to quantities that can express the uncertainty of interests. The participants can also learn the installation of R and RStudio software that is for the project in the final week of this course.
The Highlights
- 2 weeks programme
- 100% online course
- 10 hours of classes
- Learning by self
- Beginner course level
- 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
- Unlimited Course Access.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Inferential Statistics Fee Structure
Course name | Fee in INR |
| Audit mode | Free |
Inferential Statistics (1 month) | Rs. 1,699 |
| Inferential Statistics (3 months) | Rs. 3,499 |
| Inferential Statistics (6 months) | Rs. 5,199 |
Eligibility Criteria
Educational Qualification
Knowing French, Vietnamese, Korean, German, Spanish, Arabic, Italian, Russian, English, and Portuguese (European) will help as the course has the above subtitles.
Certification Qualifying Details
For the Inferential Statistics certification by Coursera participants just need to complete off the course including videos to reading, and then to practice exercises.
What you will learn
The candidates of the Inferential Statistics certification course will learn introductory practical tools that are required for making a performance of data analysis so that the fundamental concepts can be necessarily interpreted. The report which comes caters to both categorical and numerical data.
Admission Details
The inferential Statistics admission process is as follows:
Step 1: Visit the official website: https://www.coursera.org/learn/inferential-statistics-intro
Step 2: Clicking the button ‘Join for free’ that can be found on the homepage of the website is the next step.
Step 3: Next by giving a valid email id, and name, candidates can start their account on Coursera.
Step 4: Based on whether candidates have deposited the fee the admission is given.
Application Details
The application form is not there on Coursera, but in place of that form, candidates need to use their details like email id’s, first names, and suitable passwords to join Coursera for free.
The Syllabus
Readings
- About Statistics with R Specialization
- More about Inferential Statistics
Videos
- Introduction
- Sampling Variability and CLT
- CLT (for the mean) examples
- Confidence Interval (for a mean)
- Accuracy vs. Precision
- Required Sample Size for ME
- CI (for the mean) examples
Readings
- Lesson Learning Objectives
- Lesson Learning Objectives
- Week 1 Suggested Readings and Practice Exercises
- About Lab Choices
- Week 1 Lab Instructions (RStudio)
- Week 1 Lab Instructions (RStudio Cloud)
Assignments
- Week 1 Practice Quiz
- Week 1 Quiz
- Week 1 Lab3
Videos
- Another Introduction to Inference
- Hypothesis Testing (for a mean)
- HT (for the mean) examples
- Inference for Other Estimators
- Decision Errors
- Significance vs. Confidence Level
- Statistical vs. Practical Significance
Readings
- Lesson Learning Objectives
- Lesson Learning Objectives
- Week 2 Suggested Readings and Practice Exercises
- Week 2 Lab Instructions (RStudio)
- Week 2 Lab Instructions (RStudio Cloud)
Assignments
- Week 2 Practice Quiz
- Week 2 Quiz
- Week 2 Lab
Videos
- Introduction
- t-distribution
- Inference for a mean
- Inference for comparing two independent means
- Inference for comparing two paired means
- Power
- Comparing more than two means
- ANOVA
- Conditions for ANOVA
- Multiple comparisons
- Bootstrapping
Readings
- Lesson Learning Objectives
- Lesson Learning Objectives
- Week 3 Suggested Readings and Practice Exercises
- Week 3 Lab Instructions (RStudio)
- Week 3 Lab Instructions (RStudio Cloud)
Assignments
- Week 3 Practice Quiz
- Week 3 Quiz
- Week 3 Lab3
Videos
- Introduction
- Sampling Variability and CLT for Proportions
- Confidence Interval for a Proportion
- Hypothesis Test for a Proportion
- Estimating the Difference Between Two Proportions
- Hypothesis Test for Comparing Two Proportions
- Small Sample Proportions
- Examples
- Comparing Two Small Sample Proportions
- Chi-Square GOF Test
- The Chi-Square Independence Test
Readings
- Lesson Learning Objectives
- Lesson Learning Objectives
- Week 4 Suggested Readings and Practice Exercises
- Week 4 Lab Instructions (RStudio)
- Week 4 Lab Instructions (RStudio Cloud)
Assignments
- Week 4 Practice Quiz
- Week 4 Quiz
- Week 4 Lab
Instructors
Duke University, Durham Frequently Asked Questions (FAQ's)
The certificate will be issued unless the fee amount is disbursed from the participant’s end,
To stop receiving unnecessary email notifications, the candidates will have the option of changing their email settings on Coursera.
Pausing the subscription is not possible since only full cancellation is provided by Coursera.
Enrolling in a single course will automatically give the participants admitted to the complete Specialization.