Exploring and Producing Data for Business Decision Making

Overview

Unlock the potential of data in decision-making with our enlightening course offered through Coursera at ESSEC Business School. This meticulously designed program dives deep into the analytical frameworks crucial for evaluating significant business problems methodically and equips learners with advanced tools to navigate the complexities inherent in business processes.

Learners will master how to concisely summarize data, grasping crucial concepts such as frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Emphasis is placed not just on theoretical understanding but on practical application. Through comprehensive exercises using Excel and diverse data sets, participants will witness the application of statistics across various fields.

The course aims to demystify the science behind the methodologies, focusing on applying techniques, understanding, and interpreting results effectively.

Key takeaways include:

• Efficiently summarizing large data sets in graphical, tabular, and numerical formats.
• Grasping the importance of proper sampling and the reliability of sample information.
• Understanding the application of normal distribution in various settings.
• Making informed inferences about population samples with a higher degree of confidence in accuracy.
• Leveraging Excel for comprehensive statistical analysis.

This course is a crucial part of the suite of online programs offered by Gies College of Business, including the iMBA and iMSM, opening up pathways to advanced degrees. Discover how your Coursera coursework can advance your educational journey by visiting https:

//degrees.giesbusiness.illinois.edu/idegrees/.

This program falls under categories including Statistics & Probability Courses and Business Intelligence Courses, ideal for those looking to deepen their understanding and application of data in business decision-making.

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Taught by

Fataneh Taghaboni-Dutta

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Subjects