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Frederic Bien
Today, businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
Read more
Today, businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
Read more
Today, businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
This course prepares students to understand business analytics and become leaders in these areas in business organizations. This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing students to apply business analytics algorithms and methodologies to business problems. The use of examples places business analytics techniques in context and teaches students how to avoid the common pitfalls, emphasizing the importance of applying proper business analytics techniques.
Register for this course and see more details by visiting:
OpenCourser.com/course/35qgnn/data
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What's inside
Learning objectives
- Approach business problems data-analytically. students should be able to think carefully and systematically about whether and how data and business analytics can improve business performance.
- Develop business analytics ideas, analyze data using business analytics software, and generate business insights.
- After taking this course, students should be able to:
- Approach business problems data-analytically. students should be able to think carefully and systematically about whether and how data and business analytics can improve business performance.
- Develop business analytics ideas, analyze data using business analytics software, and generate business insights.
- After taking this course, students should be able to:
Syllabus
SOFTWARE REQUIREMENTS
We will be learning business analytics with the help of open source and free software applications that are provided for educational use. Please follow instructions provided in their respective websites and install the following software in your personal laptop:
Read more
Syllabus
SOFTWARE REQUIREMENTS
We will be learning business analytics with the help of open source and free software applications that are provided for educational use. Please follow instructions provided in their respective websites and install the following software in your personal laptop:
Read more
R – see https://www.r-project.org/
R Studio – see https://www.rstudio.com/
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on business analytics, which helps learners analyze data to make better business decisions
Taught by Frederic Bien, who is an expert in business analytics
Provides hands-on practice with business analytics algorithms and methodologies
Develops critical thinking skills for approaching business problems data-analytically
Uses open source and free software applications, making it accessible to learners
Requires installation of specific software (R and R Studio) on personal laptops
Save this course
Save Data Analytics for Business to your list so you can find it easily later:
Save
Save
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 Analytics for Business with these
activities:
Create a Course Resource Binder
Show steps
Organize and review key course materials such as notes, assignments, and practice questions to enhance your understanding and retention.
Show steps
-
Gather course materials
-
Organize materials into sections
-
Review materials regularly
Review Statistical Concepts
Show steps
Strengthen your understanding of statistical concepts essential for business analytics, such as measures of central tendency, probability, and regression.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks
-
Take practice quizzes
Explore the R and RStudio Software
Show steps
Gain familiarity with the software used in the course.
Browse courses on
R
Show steps
-
Install R and RStudio.
-
Follow online tutorials or documentation to learn basic functions.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Business Analytics: The Science of Decision-Making
Show steps
Gain a comprehensive understanding of business analytics principles and practices from a well-respected textbook in the field.
Show steps
-
Read assigned chapters
-
Take notes and highlight key concepts
-
Complete end-of-chapter exercises
Attend Industry Meetup on Business Analytics
Show steps
Connect with professionals in the field of business analytics, learn about industry trends, and explore potential career opportunities.
Show steps
-
Find an industry meetup
-
Register and attend the event
-
Network with attendees
Form a Study Group
Show steps
Collaborate with classmates to review course material, discuss concepts, and work on assignments together, fostering a supportive learning environment.
Show steps
-
Find interested classmates
-
Set up regular meeting times
-
Discuss course material and work on assignments
Practice Business Analytics Algorithms
Show steps
Increase proficiency in using business analytics algorithms and techniques.
Browse courses on
Business Analytics
Show steps
-
Select a dataset related to business analytics.
-
Identify and apply appropriate business analytics algorithms.
-
Interpret the results and draw insights.
Analyze Real-World Business Data
Show steps
Enhance skills in applying business analytics techniques to real-world data.
Browse courses on
Business Analytics
Show steps
-
Obtain a business analytics dataset.
-
Clean and prepare the data.
-
Conduct exploratory data analysis.
-
Develop and test hypotheses.
200 Practice Questions on Business Analytics
Show steps
Sharpen your understanding of business analytics by solving a variety of practice questions covering key concepts and techniques.
Show steps
-
Identify your weak areas
-
Solve practice questions
-
Review your answers
Create a Business Analytics Case Study
Show steps
Demonstrate understanding of business analytics by developing a case study.
Browse courses on
Business Analytics
Show steps
-
Identify a business problem.
-
Gather relevant data and conduct analysis.
-
Develop recommendations based on insights.
Data Analytics Case Study Presentation
Show steps
Apply your knowledge and skills in business analytics by conducting a case study and presenting your findings, showcasing your ability to analyze data and derive insights.
Show steps
-
Choose a business problem
-
Collect and analyze data
-
Develop insights and recommendations
-
Create a presentation
-
Present your findings
Create a Course Resource Binder
Show steps
Organize and review key course materials such as notes, assignments, and practice questions to enhance your understanding and retention.
Show steps
Show steps
Show steps
- Gather course materials
- Organize materials into sections
- Review materials regularly
Review Statistical Concepts
Show steps
Strengthen your understanding of statistical concepts essential for business analytics, such as measures of central tendency, probability, and regression.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks
- Take practice quizzes
Explore the R and RStudio Software
Show steps
Gain familiarity with the software used in the course.
Browse courses on
R
Show steps
Show steps
Show steps
- Install R and RStudio.
- Follow online tutorials or documentation to learn basic functions.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Business Analytics: The Science of Decision-Making
Show steps
Gain a comprehensive understanding of business analytics principles and practices from a well-respected textbook in the field.
Show steps
Show steps
Show steps
- Read assigned chapters
- Take notes and highlight key concepts
- Complete end-of-chapter exercises
Attend Industry Meetup on Business Analytics
Show steps
Connect with professionals in the field of business analytics, learn about industry trends, and explore potential career opportunities.
Show steps
Show steps
Show steps
- Find an industry meetup
- Register and attend the event
- Network with attendees
Form a Study Group
Show steps
Collaborate with classmates to review course material, discuss concepts, and work on assignments together, fostering a supportive learning environment.
Show steps
Show steps
Show steps
- Find interested classmates
- Set up regular meeting times
- Discuss course material and work on assignments
Practice Business Analytics Algorithms
Show steps
Increase proficiency in using business analytics algorithms and techniques.
Browse courses on
Business Analytics
Show steps
Show steps
Show steps
- Select a dataset related to business analytics.
- Identify and apply appropriate business analytics algorithms.
- Interpret the results and draw insights.
Analyze Real-World Business Data
Show steps
Enhance skills in applying business analytics techniques to real-world data.
Browse courses on
Business Analytics
Show steps
Show steps
Show steps
- Obtain a business analytics dataset.
- Clean and prepare the data.
- Conduct exploratory data analysis.
- Develop and test hypotheses.
200 Practice Questions on Business Analytics
Show steps
Sharpen your understanding of business analytics by solving a variety of practice questions covering key concepts and techniques.
Show steps
Show steps
Show steps
- Identify your weak areas
- Solve practice questions
- Review your answers
Create a Business Analytics Case Study
Show steps
Demonstrate understanding of business analytics by developing a case study.
Browse courses on
Business Analytics
Show steps
Show steps
Show steps
- Identify a business problem.
- Gather relevant data and conduct analysis.
- Develop recommendations based on insights.
Data Analytics Case Study Presentation
Show steps
Apply your knowledge and skills in business analytics by conducting a case study and presenting your findings, showcasing your ability to analyze data and derive insights.
Show steps
Show steps
Show steps
- Choose a business problem
- Collect and analyze data
- Develop insights and recommendations
- Create a presentation
- Present your findings
Career center
Learners who complete Data Analytics for Business will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
A Business Analyst helps businesses track and measure their performance with data, finding ways to create greater efficiency and boost profits. This course in Data Analytics can help you build the skills needed to understand a business' problems, improve communication with key stakeholders, and ultimately find smarter ways to achieve success.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods to analyze and interpret data in order to find meaningful insights. This course will help you build the foundation you need in business analytics and data analysis, preparing you to translate complex data patterns into actionable business solutions.
Management Consultant
Management Consultant
A Management Consultant helps organizations identify and solve problems, optimize processes, and make more informed decisions. This course can help build your expertise in data-driven decision making, which is an increasingly valuable skill in today's business environment.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to understand and predict consumer behavior. They provide insights to help businesses make better decisions about their marketing campaigns. This course provides the skills you need to analyze and interpret large datasets, uncover valuable insights, and improve marketing efforts.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. They find ways to improve efficiency, productivity and profitability. This course will help build your foundation in data analytics, preparing you to apply these techniques in a variety of business settings.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products and services. This course in data analytics can help you develop the skills you need to analyze market data, identify customer needs, and make informed decisions about product development.
Risk Analyst
Risk Analyst
A Risk Analyst assesses and manages financial risks for businesses. This course in Data Analytics may be helpful in developing the skills you need to understand and analyze financial data, identify potential risks, and make informed decisions about risk management.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data and make investment decisions. This course in Data Analytics may be helpful in developing the skills you need to succeed in this role, particularly in understanding complex data and building models for financial analysis.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course in Data Analytics will help you build the skills you need to succeed in this role, providing a foundation in data analysis and interpretation, as well as the use of statistical software and data visualization tools.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems for storing, organizing, and analyzing data. This course in Data Analytics may be helpful in developing the skills you need to understand data management and analysis techniques, and build the necessary infrastructure for data-driven decision making.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and patterns, and to develop insights that can help businesses make better decisions. This course in Data Analytics will help build your skills in data analysis, data visualization, and business intelligence tools, preparing you for success in this role.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand consumer behavior and market trends. This course in Data Analytics may be helpful in developing the skills you need to collect, analyze, and interpret data, and provide insights to help businesses make better decisions.
Healthcare Analyst
Healthcare Analyst
A Healthcare Analyst analyzes healthcare data to improve patient care and reduce costs. This course in Data Analytics may be helpful in developing the skills you need to understand healthcare data, build healthcare models, and make informed decisions about healthcare delivery.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course in Data Analytics may be helpful in developing the skills you need to understand financial data, build financial models, and make informed investment decisions.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help businesses make informed decisions. This course in Data Analytics will help build your skills in data analysis, statistical modeling, and data visualization, preparing you for success in this role.
For more career information including salaries, visit:
OpenCourser.com/course/35qgnn/data
Reading list
We've selected nine 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 Analytics for Business.
Provides a comprehensive overview of data analytics in the cloud, covering the entire data analytics process from data collection and preparation to model building and deployment. It valuable resource for students and practitioners who want to learn more about the field.
Save
Provides a practical guide to storytelling with data. It valuable resource for students and practitioners who want to learn how to use data to tell compelling stories.
Save
Provides a practical guide to designing and implementing data science projects. It valuable resource for students and practitioners who want to learn how to build and deploy data science solutions.
Provides a practical guide to using data analytics to improve business performance. It valuable resource for business leaders and practitioners who want to learn how to use data analytics to make better decisions.
Provides a comprehensive overview of data science, covering the entire data science process from data collection and preparation to model building and deployment. It valuable resource for students and practitioners who want to learn more about the field.
Provides a practical introduction to data analysis using the Python programming language. It valuable resource for students who want to learn how to use Python for data analysis.
Provides a practical introduction to data analysis using the R programming language. It valuable resource for students who want to learn how to use R for data analysis.
Save
Provides a comprehensive overview of data visualization, covering the entire data visualization process from data preparation and cleaning to chart creation and presentation. It valuable resource for students and practitioners who want to learn more about the field.
Provides a practical introduction to machine learning, making it accessible to readers with no prior experience in the field. It great resource for students who are new to machine learning and want to learn the basics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/35qgnn/data
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Effort
10 to 12 hours per week for 16 weeks
Level
Advanced
Via
edX
Institution
The Georgia Institute of Technology
Instructor
Frederic Bien
Sessions
August 17, 2026
- January 1, 2027
May 11, 2026
- August 9, 2026
January 5, 2026
- May 10, 2026
August 18, 2025
- January 1, 2026
May 12, 2025
- August 10, 2025
January 6, 2025
- May 10, 2025
August 19, 2024
- January 1, 2025
May 13, 2024
- August 11, 2024
January 8, 2024
- May 12, 2024
Language
English
Transcript
English
This course belongs to a
collection
called
Analytics: Essential Tools and Methods. It's comprised of three courses:
- Introduction to Analytics Modeling
- Computing for Data Analysis
- Data Analytics for Business (viewing)
Good to know
Focuses on business analytics, which helps learners analyze data to make better business decisions
Taught by Frederic Bien, who is an expert in business analytics
Provides hands-on practice with business analytics algorithms and methodologies
Develops critical thinking skills for approaching business problems data-analytically
Uses open source and free software applications, making it accessible to learners
Requires installation of specific software (R and R Studio) on personal laptops
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