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Data Analysis for Business

Master essential business analytics techniques from data organization to regression analysis. Learn to make data-driven decisions using statistical methods.

Master essential business analytics techniques from data organization to regression analysis. Learn to make data-driven decisions using statistical methods.

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 Data & Finance for the future 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.

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Data Analysis for Business

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Analyze and interpret business data using statistical methods

  • Create effective data visualizations and presentations

  • Apply descriptive and inferential statistics to business problems

  • Perform regression analysis for predictive modeling

  • Make data-driven business decisions

Skills you'll gain

Business Analytics
Data Analysis
Statistical Methods
Data Visualization
Regression Analysis
Probability
Hypothesis Testing
Excel
Statistical Inference
Data-Driven Decision Making

This course includes:

4 Hours PreRecorded video

20 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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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.

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There are 5 modules in this course

This comprehensive course covers essential data analysis techniques for business decision-making. Starting with fundamental concepts of data types and visualization, students progress through descriptive statistics, probability, statistical inference, and regression analysis. The curriculum combines theoretical foundations with practical applications in Excel, teaching participants how to organize, analyze, and interpret business data for strategic insights.

Introduction to Data Analysis

Module 1 · 3 Hours to complete

Organizing and Visualizing Data

Module 2 · 4 Hours to complete

Descriptive measures: univariate and bivariate

Module 3 · 3 Hours to complete

Statistical Inference

Module 4 · 6 Hours to complete

Regression Analysis

Module 5 · 3 Hours to complete

Fee Structure

Instructor

Fabiana Cherubim Bortoleto
Fabiana Cherubim Bortoleto

474 Students

1 Course

Expert in Data Analysis and Business Education

Fabiana Cherubim Bortoleto is a prominent educator at Fundação Instituto de Administração (FIA), where she teaches courses focused on data analysis and its application in business. She holds a Master's degree in Business Administration and is currently a PhD candidate in Business Administration at the School of Economics, Administration, Accounting, and Actuarial Science at the University of São Paulo (USP). Her research interests include data-driven decision-making and the role of data analysis in enhancing business processes.On Coursera, Fabiana offers the course "Data Analysis for Business," designed to empower individuals with the skills needed to extract insights from data and drive strategic initiatives. The course covers essential topics such as types of data, data visualization, and statistical analysis, providing students with a comprehensive understanding of how to leverage data for business success. Through her teaching and research, Fabiana Cherubim Bortoleto is dedicated to advancing knowledge in the fields of data analysis and business management.

Data Analysis for Business

This course includes

21 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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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.