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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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176 - 200 de 347 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por Hamza B

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12 de dic. de 2020

Very nice, i understood a lot thank you.

por Ronald M

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28 de ago. de 2020

Great! Simple explanations to the topics

por Aline C

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21 de oct. de 2018

well designed and useful, great course !

por Johnson D

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21 de mar. de 2018

Good Course, gives a basic introduction

por Vincent N

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1 de sep. de 2020

Useful knowledge about the statistics!

por JAHNAVI Z

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27 de sep. de 2020

Great Course with a Great instructor!

por Jennifer R B

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25 de mar. de 2020

The basic college refresher I needed.

por Wellington S

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8 de ago. de 2017

Important part of the specialization.

por Sarthik C

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28 de sep. de 2020

I have learend business data anaysis

por Sidhyant K U

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12 de may. de 2020

Well explained and designed course.

por Oladapo O

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8 de mar. de 2017

Lessons learned are very impactful.

por Sean M

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4 de dic. de 2016

Great course Even better Instructor

por Emil R

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28 de nov. de 2018

Great course. Excellent Instructor

por Mayank A

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16 de jun. de 2018

Explained in a very easy language.

por Hamilton C d R

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15 de oct. de 2017

Great introductiont to Statistics.

por Bola M

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13 de ene. de 2020

Great course. Highly informative.

por Harshavardhan S R

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3 de dic. de 2017

It was excellent and very useful.

por Jason B

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11 de jun. de 2018

Very Challenging and Informative

por Ponciano R

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15 de may. de 2018

Excellent course and teacher!!!!

por Adriano F d F J

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18 de sep. de 2017

Excelent concepts and exercises.

por Elizabeth N M

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17 de sep. de 2021

The lessons are short and clear

por Kundan K

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11 de mar. de 2018

Nice course and well explained.

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!

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