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Avis et commentaires pour d'étudiants pour Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions par Université de Rice

4.7
étoiles
2,286 évaluations
389 avis

À propos du cours

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...

Meilleurs avis

SN

20 août 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 août 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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326 - 350 sur 386 Avis pour Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

par Ajay K J

12 oct. 2020

Well explained and got to know how to use Excel. But it should have an optional topic to go deep if someone wants to.

par Berly E

31 juil. 2020

I was not able to resolve the Question #5 using the Poisson formula. Not sure I understood this topic correctly.

par Saurabh M

2 août 2017

This course was a little difficult compared to the previous course and involved a lot of theoretical concepts.

par Chintan D

12 juin 2020

The content was good and explained in simple words. However, I would have liked more real-life examples

par MO H

30 janv. 2019

Showing the key important thing for learning the basic statistical concept; Nice example and practice.

par Santiago R R

21 juil. 2020

Excellent course, would really be 5 stars if the feedback on the assignments was a bit more helpful

par Ashis G

14 mai 2020

The interactive design of the course is instrumental in motivating the learners greatly.

par Tim L

29 avr. 2018

Very good introduction to statistical distributions as it relates to business problems.

par Eltaneice B

25 mai 2020

Clear explanations of concepts I haven't studied in any detail previously

par Daniel L

24 mai 2017

Overall, great course and straightforward expectations for the end goals.

par Sam

16 mai 2020

Good course but the quizzes could use better feedback on wrong answers.

par shashank j

10 mai 2020

Course is good .It gives you business applications of all the concepts

par Darryl F

17 sept. 2018

Tough Course at the end. Definitely needed to review multiple times

par adriana P

31 déc. 2016

It was a clear explanation to the statistical, and the examples are

par Hesham M H S

1 déc. 2019

it is interesting, but with more examples it would add more value.

par Michelle G

27 avr. 2020

Topics covered well. Good basic understanding of topics covered.

par Dhiraj J

27 juin 2020

The course was really good and was a good learning experience

par Catherine S

21 mai 2020

A bit slow but well explained which make it somewhat easy.

par David A

2 août 2020

that was a lot harder than course 1 and really tests you.

par Harsha M

23 avr. 2019

Very nice course, helped to clear my basic understanding.

par Patrick W

5 juil. 2019

Useful refresher for business context of statistics

par Renier B

2 déc. 2019

Good course, learned some really new applications.

par Kim K

8 août 2018

Rigorous and rewarding when you put the work in.

par Sanmay M

28 mars 2022

some questions in exam are not very clear

par Surapa K

14 oct. 2019

short, concise, informative and practical