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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.

GG

22 de ago. de 2017

The course has been designed in a manner to give maximum understanding of the concept. The Quizzes are really grilling. and helps you strengthen the knowledge gained from the lecture videos.

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176 - 200 de 392 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por Andy L

22 de mar. de 2020

Great 'business relevant' example questions and scenarios

por Kelechi I

23 de may. de 2019

Excellent course. Straight to the point. Great professor.

por Pratyush K

25 de jul. de 2017

Easy to grasp, good amount of practice, and well taught.

por Yang Y

31 de ago. de 2020

Learn something new on regression. Thanks to the course

por Narges S

17 de abr. de 2020

The lessons are easy but quizzes are really challenging

por ANIKET G

1 de dic. de 2021

I had a good experience by studying this course.....

por Muskan G

13 de dic. de 2019

Amazing start for basic statistics and probability

por David L C F

24 de abr. de 2019

Great course. From basic to practical application.

por sanyam b

21 de ago. de 2020

very good instructor and problems were very good

por Ashiqur R

21 de ene. de 2021

Great course to learn the basics of statistics.

por branndon j

13 de ene. de 2021

This was a tough course. Im glad its over..lol

por Ryan S

10 de nov. de 2020

VERY CHALLENGING but practical and informative

por Machine L T

17 de may. de 2022

Pretty clear. The exercices are challenging.

por Shilly R

5 de jun. de 2021

Excellent course to apply in real businesses

por Sanket B

18 de mar. de 2021

Provides a good basic concepts understanding

por Shashwat A

25 de jul. de 2020

Interesting course with hands-on-experience

por Hamza B

12 de dic. de 2020

Very nice, i understood a lot thank you.

por Ronald M

28 de ago. de 2020

Great! Simple explanations to the topics

por Aline C

21 de oct. de 2018

well designed and useful, great course !

por Johnson D

21 de mar. de 2018

Good Course, gives a basic introduction

por Ankit p

17 de nov. de 2021

this good to get knowledge in deep way

por Vincent N

1 de sep. de 2020

Useful knowledge about the statistics!

por JAHNAVI Z

27 de sep. de 2020

Great Course with a Great instructor!

por Jennifer R B

25 de mar. de 2020

The basic college refresher I needed.

por Wellington G S

8 de ago. de 2017

Important part of the specialization.