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Вернуться к Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

Отзывы учащихся о курсе Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions от партнера Университет Райса

Оценки: 2,307

О курсе

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...

Лучшие рецензии


20 авг. 2021 г.

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.


22 авг. 2017 г.

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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201–225 из 392 отзывов о курсе Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

автор: Penny J M

1 июля 2022 г.

Excellent presentation of materials.

автор: Song Y

27 дек. 2021 г.


автор: Sarthik C

28 сент. 2020 г.

I have learend business data anaysis

автор: Sidhyant K U

12 мая 2020 г.

Well explained and designed course.

автор: Oladapo O

8 мар. 2017 г.

Lessons learned are very impactful.

автор: Sean M

4 дек. 2016 г.

Great course Even better Instructor


22 окт. 2021 г.

It is good platform for beginners.

автор: Emil R

28 нояб. 2018 г.

Great course. Excellent Instructor

автор: Mayank A

16 июня 2018 г.

Explained in a very easy language.

автор: Hamilton E

15 окт. 2017 г.

Great introductiont to Statistics.

автор: ADITYA V

24 окт. 2021 г.

gain good information about stata

автор: Bola M

13 янв. 2020 г.

Great course. Highly informative.

автор: Harshavardhan S R

3 дек. 2017 г.

It was excellent and very useful.

автор: Jason B

11 июня 2018 г.

Very Challenging and Informative

автор: Ponciano R

15 мая 2018 г.

Excellent course and teacher!!!!

автор: Adriano F d F J

18 сент. 2017 г.

Excelent concepts and exercises.

автор: Elizabeth N M

17 сент. 2021 г.

The lessons are short and clear

автор: Kundan K

11 мар. 2018 г.

Nice course and well explained.

автор: saurabh m

31 июля 2017 г.

a very well articulated course.

автор: Varun K M

8 июня 2022 г.

its an good topics to be learn

автор: Ashok A

11 дек. 2017 г.

Super teachings by Sharad Sir.

автор: Fairness P

14 мая 2017 г.

Great course. I learned a lot!

автор: Pranav K

20 дек. 2021 г.

It was really a Nice Course!!

автор: Dr. D P S

8 сент. 2020 г.

Really it is 5 Starse course.

автор: Akshay S

15 сент. 2017 г.

Learned a lot in a brief time