Exploring and Producing Data for Business Decision Making
date_range Débute le 13 mars 2017
event_note Se termine le 10 avril 2017
list 4 séquences
assignment Niveau : Introductif
label Gestion d'Entreprise
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 16 heures de cours

En résumé

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained. Upon successful completion of this course, you will be able to: • Summarize large data sets in graphical, tabular, and numerical forms. • Understand the significance of proper sampling and why you can rely on sample information. • Understand why normal distribution can be used in so many settings. • Use sample information to infer about the population with a certain level of confidence about the accuracy of the estimations. • Use Excel for statistical analysis. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.

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Le programme

  • Week 1 - Course Orientation
    You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
  • Week 1 - Module 1: Introduction and Summarizing Data
    Data is all around you, but what is the data telling you? The first step in making better decisions and taking action is to get a good understanding of information you have gathered. In this module we will learn about some of the tools in statistics that help ...
  • Week 2 - Module 2: Descriptive Statistics and Probability Distributions
    We all have heard the phrase that a "picture is worth a thousand words," but you certainly don’t want one of those to be "what exactly am I looking at?" So, now that you know to use "pictures" to summarize your data, let’s make those pictures easier to underst...
  • Week 3 - Module 3: Sampling and Central Limit Theorem
    You are charged with analyzing a market segment for your company. You and your team have figured out what variables you need to understand; you also have an idea what factors might be influencing these variables of interest. Now you are ready to do your analys...
  • Week 4 - Module 4: Inference
    You have sample data and have done the analysis – you think you can say something about the population based on your sample study. But, do you have a sense of what are the chances of you being right or wrong? How can you be surer? What else should you have c...
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Les intervenants

  • Fataneh Taghaboni-Dutta, Clinical Professor of Business Administration
    University of Illinois, Urbana-Champaign College of Business Department of Business Administration
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Le concepteur

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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