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The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course. To successfully complete course assignments, students must have access to Microsoft Excel. ________________________________________ WEEK 1 Module 1: Basic Data Descriptors In this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated. Topics covered include: • Categories of descriptive data • Measures of central tendency, the mean, median, mode, and their interpretations and calculations • Measures of spread-in-data, the range, interquartile-range, standard deviation and variance • Box plots • Interpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem ________________________________________ WEEK 2 Module 2: Descriptive Measures of Association, Probability, and Statistical Distributions This module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions. Topics covered include: • Measures of association, the covariance and correlation measures; causation versus correlation • Probability and random variables; discrete versus continuous data • Introduction to statistical distributions ________________________________________ WEEK 3 Module 3: The Normal Distribution This module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. Topics covered include: • Probability density function and area under the curve as a measure of probability • The Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel ________________________________________ WEEK 4 Module 4: Working with Distributions, Normal, Binomial, Poisson In this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two. Topics covered include: • Various applications of the Normal distribution • The Binomial and Poisson distributions • Sample versus population data; the Central Limit Theorem...

Principales reseñas

SN
20 de ago. de 2021

This was a really enjoyable course, but challenging too. I struggled a bit with the final assignment, but nailed it in the end. My statistical knowledge base has indeed been enhanced by this course.

EM
26 de ago. de 2020

This is one of the best courses i have atended since, the exercises are all related to the topic.Great job. .\n\nThanks to Mr Sharad Borle for explaining very well the content in this course .

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226 - 250 de 347 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por Aparna C

1 de oct. de 2020

Excellent Course.

por Benjamìn A G

3 de feb. de 2019

All is excellent!

por Mahua M

3 de feb. de 2018

very good course.

por Isabel

31 de may. de 2017

Good explanations

por Xin G

3 de mar. de 2017

Useful for excel!

por Joash D

24 de feb. de 2021

exceptional work

por Shubham C

12 de sep. de 2020

Nice explanation

por Me

27 de jun. de 2020

Very Good Course

por Venkatesan J

27 de jun. de 2020

Excellent Course

por Ankita

19 de jul. de 2018

Excellent course

por INDRANI M

30 de ago. de 2021

G​reat learning

por Thunyapat T

20 de jun. de 2020

great course!!!

por EDILSON S S O J

26 de may. de 2019

Amazing Course!

por William B

30 de may. de 2017

Amazing course!

por Kriti A

16 de sep. de 2021

Amazing course

por Vipul R G

5 de jul. de 2020

Thank you Prof

por Uchenna V O

14 de abr. de 2020

Very organised

por Jyothi

24 de feb. de 2020

Good Learning!

por Akash P

14 de oct. de 2018

Super teaching

por Wendy N

18 de abr. de 2018

GREAT COURSE!!

por Manuel G P G

6 de nov. de 2020

Great course!

por Esther K

13 de ago. de 2018

Great course!

por ZHOUZHOU

29 de nov. de 2017

Great course!

por Iñigo A

26 de ago. de 2020

Very useful.

por Pratyush A

1 de ago. de 2020

Good course.