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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 revisiones


Aug 23, 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.


Jun 15, 2017

This course was great. Although the concepts introduced are complex, the instructor breaks them down and gives relatable, real-world style examples to easily explain the application.

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76 - 100 de 167 revisiones para Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

por Jaime M

Sep 07, 2017

Great course to identify and analyse statistical distributions.

por shadrack B

Dec 11, 2016

Absolutely great course. Learnt a lot of useful information.

por Andy L

Mar 22, 2020

Great 'business relevant' example questions and scenarios

por Kelechi I

May 23, 2019

Excellent course. Straight to the point. Great professor.

por Pratyush

Jul 25, 2017

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

por Muskan G

Dec 13, 2019

Amazing start for basic statistics and probability

por David L C F

Apr 24, 2019

Great course. From basic to practical application.

por Aline C

Oct 21, 2018

well designed and useful, great course !

por Johnson D

Mar 21, 2018

Good Course, gives a basic introduction

por Jennifer R B

Mar 25, 2020

The basic college refresher I needed.

por Wellington G S

Aug 08, 2017

Important part of the specialization.

por Oladapo O

Mar 08, 2017

Lessons learned are very impactful.

por Sean M

Dec 05, 2016

Great course Even better Instructor

por Emil R

Nov 28, 2018

Great course. Excellent Instructor

por Mayank A

Jun 16, 2018

Explained in a very easy language.

por Hamilton C d R

Oct 16, 2017

Great introductiont to Statistics.

por Bola M

Jan 13, 2020

Great course. Highly informative.

por Harshavardhan S R

Dec 03, 2017

It was excellent and very useful.

por Jason B

Jun 11, 2018

Very Challenging and Informative

por Ponciano R

May 15, 2018

Excellent course and teacher!!!!

por Adriano F d F J

Sep 19, 2017

Excelent concepts and exercises.

por kundan k

Mar 11, 2018

Nice course and well explained.

por saurabh m

Jul 31, 2017

a very well articulated course.

por Ashok A

Dec 11, 2017

Super teachings by Sharad Sir.

por Fairness P

May 15, 2017

Great course. I learned a lot!