OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Data Analysis for Business

Fabiana Cherubim Bortoleto

The Data Science in Business course equips participants with the tools and techniques to leverage data for informed decision-making in the corporate world. Covering data analysis, and data-driven strategies, this course empowers individuals to extract valuable insights, enhance business processes, and drive strategic initiatives through data-driven approaches. Combining theoretical foundations with hands-on applications, learners will be well-prepared to navigate the intersection of data science and business analytics.

Enroll now

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until March 12, 2027
Save 40% Off 3 Months
Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.
Take
40%
off
Get offer

What's inside

Syllabus

Introduction to Data Analysis
This week, you’ll learn the impact of data analysis and its elements on business. Also, the diferences of variables, measurement scales and types of data analysis.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Supports data science and analytics field growth in business
Builds a foundation in data analysis for business
Provides an overview of the intersection of business and data
Incorporates real-world examples into learning process
Enhances learners' data-driven decision-making skills
Covers foundational concepts in data analysis

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Practical data analysis for business foundations

According to learners, this course offers a solid foundation in data analysis for business, emphasizing practical applications and decision-making in the corporate world. Many highlight the clear explanations and engaging teaching style of the instructor. While it's particularly beneficial for beginners and professionals new to data, some more experienced students found the hands-on activities to be basic and suggested that deeper dives into advanced techniques or programming languages would enhance the experience. Overall, it's considered a highly relevant starting point for integrating data science into business strategy.
Serves as a good introduction but not comprehensive.
"It's a great starting point, though I'll need to explore more advanced tools on my own."
"The course provides a good overview of concepts... but it feels like a stepping stone to more advanced learning."
"Decent overview. It serves its purpose as an introduction, but don't expect to become an expert."
Instructor provides clear and concise teaching.
"The instructor's explanations were always clear and concise."
"The instructor was engaging, making even theoretical parts easier to grasp."
"I found the concepts well-explained by the instructor, which really helped my learning process."
Excellent for beginners in data analysis.
"A very solid introduction to data analysis for business... I feel much more confident in my data literacy."
"As someone new to data, this course was perfect. It breaks down complex ideas into digestible chunks..."
"It's a great starting point for business professionals looking to understand data, covering fundamental concepts well."
Focuses on real-world business scenarios.
"The modules on regression analysis were incredibly practical for my work. I loved how they connected every concept to real business scenarios."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
"This course filled many gaps in my understanding of data's role in business. It's very relevant for business professionals."
Practical exercises are often too simple or lack depth.
"The hands-on practice was quite basic. I was hoping for more complex case studies or using actual programming languages instead of just Excel."
"Too superficial. The content is very basic and doesn't dive deep enough into any topic... exercises were overly simple."
"I felt this course could benefit from more challenging problem sets and real-world project applications."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysis for Business with these activities:
Read 'Data Science for Business'
Gain a comprehensive understanding of data science concepts and their application in business.
View Data Science for Business: What You Need to... on Amazon
Show steps
  • Read the book thoroughly, taking notes and highlighting key concepts.
  • Complete the exercises and case studies at the end of each chapter.
  • Summarize the main takeaways from the book and how they relate to the course material.
Join a data science study group
Connect with peers, discuss course material, and support each other's learning.
Show steps
  • Find or create a study group with other students enrolled in the course.
  • Meet regularly to discuss the course material and work on assignments together.
  • Collaborate on projects and share knowledge and resources.
Brush up on data visualization basics
Solidify your understanding of data visualization concepts to prepare for the course's data analysis and visualization modules.
Browse courses on Data Visualization
Show steps
  • Review the principles of data visualization, such as charts, graphs, and tables.
  • Identify the different types of data that can be visualized.
  • Practice creating basic data visualizations using tools like Excel or Google Sheets.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve data analysis problems
Enhance your problem-solving abilities and apply data analysis techniques to real-world scenarios.
Browse courses on Data Analysis
Show steps
  • Work through practice problems related to data cleaning, exploration, and analysis.
  • Analyze data sets to identify trends, patterns, and insights.
  • Present your findings and recommendations based on the data analysis.
Participate in data science workshops
Gain hands-on experience and learn from experts in the field.
Show steps
  • Identify data science workshops that focus on topics relevant to your career goals.
  • Register and attend these workshops.
  • Actively participate in the workshops and ask questions.
Develop a data analysis portfolio
Showcase your data analysis skills and build a portfolio of projects that demonstrate your expertise.
Show steps
  • Identify a business problem or question that can be addressed through data analysis.
  • Collect and clean relevant data from various sources.
  • Analyze the data using appropriate techniques and tools.
  • Present your findings and recommendations in a clear and concise manner.
Explore advanced data analysis techniques
Expand your knowledge of data analysis by exploring advanced techniques and technologies.
Browse courses on Big Data Analysis
Show steps
  • Identify advanced data analysis techniques that align with your career goals.
  • Find online tutorials or courses that cover these techniques.
  • Complete the tutorials and practice the techniques on real-world data sets.
Participate in data science competitions
Test your skills, solve real-world problems, and network with professionals.
Show steps
  • Identify data science competitions that align with your interests and career goals.
  • Form a team or participate individually.
  • Analyze the competition data, develop models, and submit your solution.

Career center

Learners who complete Data Analysis for Business will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts mine large datasets to unearth patterns and insights that can help businesses make better decisions. They use statistical and analytical techniques to identify trends, predict outcomes, and develop strategies. The Data Analysis for Business course from Fundação Instituto de Administração provides a strong foundation in these techniques, making it an excellent choice for aspiring Data Analysts. The course covers topics such as data visualization, descriptive statistics, statistical inference, and regression analysis, all of which are essential for success in this field.
See salaries and explore the career path for Data Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. They work with stakeholders to understand their needs, gather data, and develop recommendations. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Business Analysts, as it teaches them how to collect, analyze, and interpret data in order to make sound business decisions.
See salaries and explore the career path for Business Analyst
Data Scientist
Data Scientists use advanced statistical and machine learning techniques to extract insights from data. They work on a variety of projects, such as predicting customer behavior, developing new products, and improving business processes. The Data Analysis for Business course from Fundação Instituto de Administração provides a strong foundation in the fundamentals of data science, making it a good choice for aspiring Data Scientists. The course covers topics such as data visualization, statistical inference, and regression analysis, all of which are essential for success in this field.
See salaries and explore the career path for Data Scientist
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. They track key metrics such as website traffic, conversion rates, and customer lifetime value. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Marketing Analysts, as it teaches them how to collect, analyze, and interpret data in order to make effective marketing decisions.
See salaries and explore the career path for Marketing Analyst
Financial Analyst
Financial Analysts use data to evaluate the financial health of companies and make investment recommendations. They analyze financial statements, conduct industry research, and develop financial models. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Financial Analysts, as it teaches them how to collect, analyze, and interpret data in order to make sound investment decisions.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. They work on a variety of projects, such as optimizing supply chains, scheduling production, and improving customer service. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Operations Research Analysts, as it teaches them how to collect, analyze, and interpret data in order to make operational improvements.
See salaries and explore the career path for Operations Research Analyst
Risk Analyst
Risk Analysts use data to identify and manage risks. They work in a variety of industries, such as banking, insurance, and healthcare. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Risk Analysts, as it teaches them how to collect, analyze, and interpret data in order to make informed risk management decisions.
See salaries and explore the career path for Risk Analyst
Quantitative Analyst
Quantitative Analysts use data to develop mathematical models for financial markets. They work in investment banks, hedge funds, and other financial institutions. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Quantitative Analysts, as it teaches them how to collect, analyze, and interpret data in order to develop and test financial models.
See salaries and explore the career path for Quantitative Analyst
Statistician
Statisticians use data to solve problems across a variety of industries. They design and conduct studies, analyze data, and interpret results. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Statisticians, as it teaches them the fundamental principles of statistics and how to apply them to real-world problems.
See salaries and explore the career path for Statistician
Data Engineer
Data Engineers design, build, and maintain data systems. They work with data analysts, data scientists, and other stakeholders to ensure that data is available, reliable, and secure. The Data Analysis for Business course from Fundação Instituto de Administração provides a valuable foundation for Data Engineers, as it teaches them the principles of data management and how to build and maintain data systems.
See salaries and explore the career path for Data Engineer
Data Architect
Data Architects design and manage the architecture of data systems. They work with data engineers, data analysts, and other stakeholders to ensure that data systems meet the needs of the business. The Data Analysis for Business course from Fundação Instituto de Administração may be useful for Data Architects, as it provides a foundation in data management and data analysis. However, Data Architects typically need an advanced degree in computer science or a related field.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain databases. They work with data engineers, data analysts, and other stakeholders to ensure that data is available, reliable, and secure. The Data Analysis for Business course from Fundação Instituto de Administração may be useful for Database Administrators, as it provides a foundation in data management and data analysis. However, Database Administrators typically need an advanced degree in computer science or a related field.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data analysts, data scientists, and other stakeholders to ensure that software applications meet the needs of the business. The Data Analysis for Business course from Fundação Instituto de Administração may be useful for Software Engineers, as it provides a foundation in data analysis and data visualization. However, Software Engineers typically need an advanced degree in computer science or a related field.
See salaries and explore the career path for Software Engineer
Web Developer
Web Developers design and develop websites and web applications. They work with data analysts, data scientists, and other stakeholders to ensure that websites and web applications meet the needs of the business. The Data Analysis for Business course from Fundação Instituto de Administração may be useful for Web Developers, as it provides a foundation in data analysis and data visualization. However, Web Developers typically need an advanced degree in computer science or a related field.
See salaries and explore the career path for Web Developer
IT Manager
IT Managers plan, implement, and manage IT systems and services. They work with data analysts, data scientists, and other stakeholders to ensure that IT systems and services meet the needs of the business. The Data Analysis for Business course from Fundação Instituto de Administração may be useful for IT Managers, as it provides a foundation in data analysis and data management. However, IT Managers typically need an advanced degree in computer science or a related field.
See salaries and explore the career path for IT Manager

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analysis for Business.
Cover image
Data Science for Business
Save
This textbook is specifically tailored for business students and professionals looking to learn data science. It covers everything from data wrangling and visualization to machine learning and predictive modeling. It also includes real-world case studies and exercises that make it easy to apply what you learn.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Comprehensive guide to using Python for data analysis. It covers everything from basic data manipulation to advanced statistical modeling. It also includes a number of helpful resources for learning Python, such as interactive exercises and code examples.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
R for Data Science
Save
Comprehensive guide to using R for data science. It covers everything from basic data manipulation to advanced statistical modeling. It also includes a number of helpful resources for learning R, such as interactive exercises and code examples.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
Data Visualization
Save
Practical guide to data visualization. It covers everything from choosing the right charts and graphs to designing effective dashboards. It also includes a number of helpful resources for creating visualizations, such as templates and code examples.
Data Visualization: A Successful Design Process: A...
Paperback
$
Data Visualization: Representing Information on...
Kindle Edition
$$$
Data Visualization Design and Utilization (Korean...
Paperback
$$$
Cover image
TinyML
Save
Practical guide to using machine learning for business. It covers everything from the basics of machine learning to specific applications for business, such as predictive modeling and customer segmentation. It also includes a number of helpful resources for getting started with machine learning, such as code examples and case studies.
TinyML: Machine Learning with TensorFlow Lite on...
Paperback
$$
O'Reilly.TinyML. Wykorzystanie TensorFlow Lite do...
Paperback
$$$
TinyML: Machine Learning with TensorFlow Lite on...
Kindle Edition
$$
Cover image
Build a Career in Data Science
Save
Gentle introduction to data analysis. It covers everything from the basics of data analysis to more advanced topics, such as statistical modeling and machine learning. It also includes a number of helpful resources for learning data analysis, such as practice problems and code examples.
Build a Career in Data Science
Paperback
$$
Build a Career in Data Science
Kindle Edition
$$
Cover image
Business Basics
Save
Comprehensive guide to statistics for business. It covers everything from descriptive statistics to inferential statistics. It also includes a number of helpful resources for learning statistics, such as practice problems and code examples.
Business Basics
Paperback
Check
Business Basics
Kindle Edition
Check
Cover image
Machine Learning for Business Analytics
Save
Practical guide to using data science for business leaders. It covers everything from the basics of data science to specific applications for business, such as decision-making and risk management. It also includes a number of helpful resources for getting started with data science, such as case studies and examples.
Machine Learning for Business Analytics: Concepts,...
Hardcover
$$$$
Machine Learning for Business Analytics: Concepts,...
Kindle Edition
$$$$
Cover image
The AI Playbook
Save
Provides a comprehensive overview of predictive analytics. It covers everything from the basics of predictive analytics to more advanced topics, such as machine learning and data mining. It also includes a number of helpful resources for learning predictive analytics, such as case studies and examples.
The AI Playbook: Mastering the Rare Art of Machine...
Hardcover
$$
The AI Playbook: Mastering the Rare Art of Machine...
Kindle Edition
$$
Cover image
Understanding Business Ethics
Save
Provides a gentle introduction to data management. It covers everything from the basics of data management to more advanced topics, such as data governance and data security. It also includes a number of helpful resources for learning data management, such as practice problems and code examples.
Understanding Business Ethics
Paperback
$$$
Understanding Business Ethics
Paperback
$$$
Understanding Business Ethics
Loose Leaf
$$$$
Understanding Business Ethics
Kindle Edition
$$$
Understanding Business Ethics
Kindle Edition
$$$
Cover image
Think Bayes
Save
Gentle introduction to SQL. It covers everything from the basics of SQL to more advanced topics, such as data manipulation and data analysis. It also includes a number of helpful resources for learning SQL, such as practice problems and code examples.
Think Bayes
Paperback
Check
Think Bayes
Kindle Edition
Check
Cover image
Practical Data Science Cookbook
Save
Practical guide to using Python and R for data analysis. It covers everything from the basics of Python and R to more advanced topics, such as data visualization and machine learning. It also includes a number of helpful resources for learning Python and R, such as code examples and case studies.
Practical Data Science Cookbook - Second Edition
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Data Analysis for Business.
Excel Essentials and Beyond
Most relevant
Variable Selection, Model Validation, Nonlinear Regression
Most relevant
Prerequisites and Advanced Machine Learning for NLP
Most relevant
Learn SQL with Databricks
Most relevant
MySQL for Data Analytics and Business Intelligence
Most relevant
SPSS: Apply & Interpret Logistic Regression Models
Most relevant
PyMongo - Advanced
Most relevant
Master Time Series Forecasting with R: Analyze & Predict
Most relevant
Predictive Analytics with SPSS: Analyze & Apply
Most relevant

Coursera Buyer Protection & Guarantee

Verified partner policies & purchase protections

Accredited University Partner
Free Trial & Audit

7-Day Free Trial & Free Audit

7-day free trial on monthly Coursera Plus subscriptions; free audit option available on most individual courses to explore video lectures and readings at no charge.

Return & Refund Policy

14-Day Refund Guarantee

14-day refund window on annual Coursera Plus subscriptions and single-course purchases prior to certificate issuance. Monthly subscriptions do not offer refunds once billed.

Buyer Protections

Verified Academic & Industry Partner

Accredited university and industry certifications (e.g. Stanford, Google, IBM, Yale), secure SSL payment processing, and verifiable digital certificate links.

Key Purchase Protections
14-day refund window on annual Coursera Plus and single courses
7-day free trial on monthly Coursera Plus subscriptions
Free course audit option for lectures and readings
Verified certificates from top universities & companies
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Effort
5 weeks
Level
Intermediate
Via
Coursera
Institution
Fundação Instituto de Administração
Instructor
Fabiana Cherubim Bortoleto
Language
English
This course belongs to a collection called Data & Finance for the future. It's comprised of four courses:
  1. Data Analysis for Business (viewing)
  2. Valuation & Strategic Finance
  3. Financial Accounting
  4. Macroeconomics for Business Management
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Supports data science and analytics field growth in business
Builds a foundation in data analysis for business
Provides an overview of the intersection of business and data
Incorporates real-world examples into learning process
Enhances learners' data-driven decision-making skills
Covers foundational concepts in data analysis
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Data Analysis for Business.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser