This introduction to statistics course examines data from the perspective of business scenarios and demonstrates how to apply this data to make better decisions. 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
Management
Internet sources
Spreadsheet Software
Course programme
Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 1 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two courses cover topics in Descriptive Statistics, whereas the next two courses focus on Inferential Statistics. Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions. In Part 1, we shall be exploring multiple ways to describe these datasets, numerically as well as visually. Throughout, we shall embrace a problem-based approach to understanding the material: the primary reason to pick up a tool or a technique will be to solve a problem. Our course makes judicious use of tools. In Part 2, we shall take up a few datasets that have over a million rows, which makes it impossible to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. The courses incorporate helpful tutorials to get learners acquainted with both the mechanisms. Parts 3 and 4 are dedicated to Inferential Statistics. In Part 3, we begin by exploring the benefits of random sampling, and apply the Central Limit Theorem to arrive at confidence intervals for important population parameters. We also learn how to formulate hypotheses for business data, and resolve them with the testing framework that we establish. Along the way, we shall compare two or more populations and draw inferences with a set of statistical tests. You will learn all these concepts with the help of various demonstrations, which show real-life application of the concepts related to business situations.
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.