Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.
Facilities
Location
Start date
Online
Start date
Different dates availableEnrolment now open
About this course
Basic Algebra and some Calculus
Questions & Answers
Add your question
Our advisors and other users will be able to reply to you
We are verifying your question adjusts to our publishing rules. According to your answers, we noticed you might not be elegible to enroll into this course, possibly because of: qualification requirements, location or others. It is important you consult this with the Centre.
Thank you!
We are reviewing your question. We will publish it shortly.
Or do you prefer the center to contact you?
Reviews
Have you taken this course? Share your opinion
This centre's achievements
2017
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 8 years
Subjects
Statistics
Business
Descriptive Statistics
Inferential Statistics
Statistical programming
Course programme
Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two parts cover topics in Descriptive Statistics, whereas the next two focus on Inferential Statistics. Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions. In Part 2, we use the language of probability to examine the underlying distributions of random variables. We model real-life phenomena using known variables such as Binomial, Poisson and Normal. We learn how to simulate data that are distributed according to these variables. We shall take up datasets that have over a million rows, which makes it difficult to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. We incorporate helpful tutorials to get learners acquainted with the platform.
Additional information
Shankar Venkatagiri Shankar Venkatagiri is a faculty member in the Quantitative Methods & Information Systems area at the Indian Institute of Management Bangalore. He is a mathematician and a computer scientist by training, and has worked in IT consulting around Boston, prior to pursuing an academic career. Shankar has taught courses in statistics to students at the graduate and doctoral levels at IIM Bangalore. He frequently interacts with industry in various capacities. Shankar's interests lie in analytics and cloud computing.