Zurück zu Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

4.7

1,035 Bewertungen

•

158 Bewertungen

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...

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.

Filtern nach:

von Tim S

•Nov 20, 2016

a

von Akshay S

•Sep 15, 2017

Learned a lot in a brief time

von Akshay H

•May 02, 2017

Any one looking for quick refresher course in Business Statics this is the specialization to enroll.

Prof/Instructor Sharad has explain the concept in crisp & precise manner & hands on practice in excel is big plus..!!

For any one who wants to learn business statistics ,I kindly urge you enroll this course/specialization so you have basic overview of all topics in business statistics & later read text book Business Statistics by Ken black for through understanding of all topics.

von Avichit M

•Aug 07, 2017

Some more questions in the quiz in between the lessons might be of more help as they could clear the concepts thoroughly.

von Ethan O B

•Oct 11, 2017

An excellent programme well delivered - really useful skills to take into business world

von Mahua M

•Feb 03, 2018

very good course.

von Kevin G

•Jul 03, 2018

Very interesting course on the practical applications of statistics in business and other matters. Professor was very informed and made concepts easy to absorb and appl

von Joshua P

•Dec 07, 2017

I enjoyed this course very much. It covered a lot of useful topics to help you understand and apply statistical analysis methods. Professor Borle obviously put a lot of thought into the planning of this course, as the order of topics presented built on prior knowledge, and as usual were presented in a very clear and concise way. I would have liked additional depth and practice on the discreet distributions presented near the end of this course, but that is something I can do on my own time as well. I can't wait to start the next course in this specialization!

von abhinav k

•Dec 23, 2016

Looking forward to more such courses on Statistics and Probability related to Data Science.

von Juan C G

•Apr 10, 2018

It's simply great!

von Tom B

•Oct 09, 2017

Great Introduction course. Anybody looking to study statistics should first look at this course.

von Scott H

•May 08, 2018

I really like Professor Borle,

He speaks very clearly and concisely.....easy to understand even for a non-technical person like me. Five claps for this class.

von Husain S

•Jan 03, 2018

Good course. I completed it in while on trial period along with the first course in the specialization.

von Rebecca L

•Apr 09, 2017

The instructor's approach to presenting the basics of statistics as well as the application of excel functions is by far the best I've experienced in statistics courses. This is a refresher for me, and, I'm really enjoying it!

von DIONYSIOS Z

•Aug 01, 2017

Lot's of useful examples and hands-on exercises. Just the right pace for beginners. Great course - recommend it 100%!

von Asha

•Jan 09, 2018

I personally loved it!! Coming from a technical background, it really helped me to understand how we can apply the concepts and techniques to real world/practical problems.

von Luping L

•Feb 16, 2017

c

von Bhola P

•May 11, 2018

Sharad sir is just amazing.

von Pratyush

•Jul 25, 2017

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

von Scott L

•Jun 25, 2018

I enjoyed this course. It was a good introduction to each concept with enough practice to help learn. Would need to be supplemented with more real world practice before i would feel comfortable using at work. Specifically, understanding random sampling.

von Mai Z

•Sep 24, 2017

The theory is well explained, and the pratices on examples help to understand deeper.

von Geet S

•May 03, 2017

Great course! Very informative and all the concepts are very clearly explained!

von Isabel

•May 31, 2017

Good explanations

von Johnson D

•Mar 21, 2018

Good Course, gives a basic introduction

von galaxy g

•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.

Coursera arbeitet mit erstklassigen Universitäten und Organisationen zusammen, um Online-Kurse anzubieten und dadurch universellen Zugriff auf die weltweit beste Ausbildung zu ermöglichen.