Exploring and Producing Data for Business Decision Making
Master business data analysis with Excel, covering statistical concepts from sampling to confidence intervals. Perfect for decision-making.
Master business data analysis with Excel, covering statistical concepts from sampling to confidence intervals. Perfect for decision-making.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Managerial Economics and Business Analysis Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(1,004 ratings)
43,443 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Summarize large data sets using graphs, tables, and statistical measures
Apply sampling techniques for business research and analysis
Understand and utilize normal distribution in various business settings
Make data-driven inferences with statistical confidence
Use Excel for comprehensive statistical analysis
Develop skills in data visualization and interpretation
Skills you'll gain
This course includes:
5.6 Hours PreRecorded video
24 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course equips learners with essential statistical tools for business decision-making. The curriculum covers fundamental concepts including data summarization, normal distribution, sampling methods, and confidence intervals. Through hands-on practice with Excel, students learn to analyze data sets, create visualizations, and make data-driven business decisions. The course emphasizes practical application of statistical concepts in real-world business scenarios.
Course Orientation
Module 1 · 1 Hours to complete
Introduction and Summarizing Data
Module 2 · 4 Hours to complete
Descriptive Statistics and Probability Distributions
Module 3 · 6 Hours to complete
Sampling and Central Limit Theorem
Module 4 · 5 Hours to complete
Inference
Module 5 · 5 Hours to complete
Fee Structure
Instructor
Clinical Professor of Business Administration
Fataneh Taghaboni-Dutta is a Clinical Professor of Business Administration at the University of Illinois at Urbana-Champaign, where she has been teaching since 2009. She specializes in operations and process management, with a focus on product development, technology strategy, and project management. Her research primarily explores the integration of technology with management practices, particularly emphasizing the deployment of Radio Frequency Identification (RFID) technology in manufacturing and global supply chains. Dr. Taghaboni-Dutta holds three degrees in industrial engineering from Purdue University, including a Ph.D. earned in 1989. She has received multiple accolades for her teaching excellence and is actively involved in enhancing educational practices through her research and course offerings.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.8 course rating
1,004 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.