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Opiniones y comentarios de aprendices correspondientes a Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions por parte de Universidad Rice

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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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201 - 225 de 353 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por saurabh m

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31 de jul. de 2017

a very well articulated course.

por Ashok A

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11 de dic. de 2017

Super teachings by Sharad Sir.

por Fairness P

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14 de may. de 2017

Great course. I learned a lot!

por Dr. D P S

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8 de sep. de 2020

Really it is 5 Starse course.

por Akshay S

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15 de sep. de 2017

Learned a lot in a brief time

por Vi A D

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10 de dic. de 2020

very informative and helpful

por Alfredo C

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14 de nov. de 2020

Great Course, great Teacher!

por Ruiqi D

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7 de sep. de 2018

Excellent course! Thank you!

por Gabriel F H

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21 de ago. de 2017

Great course and materials!!

por Abid I F 1

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29 de ago. de 2020

very friendly for beginners

por Son N

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25 de ago. de 2020

Thanks. So interesting !!!!

por bhola p

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11 de may. de 2018

Sharad sir is just amazing.

por MIHIR P

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7 de sep. de 2021

Great course for beginners

por David E

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7 de may. de 2020

Excellent course material.

por Sahib Q

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31 de ene. de 2021

Thank you for the course!

por Pablo b

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30 de may. de 2020

Detailed and interesting!

por Riky I

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25 de mar. de 2017

Clear and concise, great!

por GABRIEL G R

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17 de abr. de 2021

A well structured course

por Hemavathi

•
4 de jun. de 2020

It is a very nice course

por Rais S R

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25 de ago. de 2020

the course very helpful

por Savinay K S

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1 de ene. de 2020

Great... I am loving it

por Mustahid H

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19 de may. de 2020

Exercises are awesome.

por Scott S

•
7 de sep. de 2017

Great practical course

por arun b

•
28 de dic. de 2020

simple and elegant.

por Aiswarya P

•
17 de oct. de 2020

It was good section

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