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Exploring and Producing Data for Business Decision Making Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

The Exploring and Producing Data for Business Decision Making course offered by Coursera in partnership with University of Illinois is part of the Managerial Economics and Business Analysis Specialization.

Overview

The Exploring and Producing Data for Business Decision Making course offered by Coursera in partnership with University of Illinois 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 learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Key facts

  • 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 different disciplines, allowing you to see the use of statistics in a range of settings. The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained.

What you'll learn

  • Summarize large data sets in graphical, tabular, and numerical forms.
  • Understand the significance of proper sampling and why one can rely on sample information
  • Understand why normal distribution can be used in a wide range of settings
  • Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations
  • Use Excel for statistical analysis

Skills you'll gain

  • Business Analysis
  • Data Analysis
  • Probability & Statistics
  • Decision Making

Programme Structure

Courses included:

  • Course Orientation
  • Summarizing Data
  • Descriptive Statistics and Probability Distributions
  • Sampling and Central Limit Theorem
  • Inference

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No prior experience required

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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