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Jamie Champagne
This course will teach you the five domain areas and corresponding tasks to successfully execute business data analytics work to drive smart decision making.
Read more
This course will teach you the five domain areas and corresponding tasks to successfully execute business data analytics work to drive smart decision making.
Read more
This course will teach you the five domain areas and corresponding tasks to successfully execute business data analytics work to drive smart decision making.
To help you drive successful business decision-making in your organization, you need to be able to identify all the key tasks within the major elements of business data analytics work. In this course Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas, you’ll learn what the five business data analytics domains are. First, you’ll learn how and why business data analytics work is structured into domains and tasks. Next, you’ll discover each of the business data analytics domains and tasks individually. Finally, you’ll explore what it looks like to apply these tasks to real-world business decisions. When you’re finished with this course, you’ll have the skills and knowledge to begin applying business data analytics tasks to your own data and business decisions.
Register for this course and see more details by visiting:
OpenCourser.com/course/bv7tgd/certification
What's inside
Syllabus
Course Overview
Introduction to the Business Data Analytics Domains and Developing Research Questions
Assembling Your Source Data
Developing and Executing Your Data Analysis Plan
Read more
Syllabus
Course Overview
Introduction to the Business Data Analytics Domains and Developing Research Questions
Assembling Your Source Data
Developing and Executing Your Data Analysis Plan
Read more
Planning and Executing Your Data Analytics Stakeholder Communication Plan
Creating Recommendations to Influence Business Decision-making
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners industry standard skills and knowledge to work effectively
Builds a strong foundation for learners
Course instructor Jamie Champagne is recognized for their work in Business Data Analytics
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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 Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas with these
activities:
Review statistical concepts
Show steps
Strengthens the understanding of statistical concepts that are essential for data analytics.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks on statistics.
-
Complete practice problems or exercises on statistical concepts.
Review concepts of data analytics
Show steps
Strengthens the understanding of key data analytics concepts taught in the course.
Browse courses on
Business Data Analytics
Show steps
-
Review existing notes and resources on data analytics.
-
Explore online articles and tutorials on data analytics best practices.
-
Complete practice exercises or quizzes on data analytics concepts.
Participate in peer-to-peer discussions
Show steps
Fosters collaboration and diverse perspectives on data analytics concepts.
Browse courses on
Collaborative Learning
Show steps
-
Join or create a study group with peers taking the course.
-
Participate in online forums or discussion boards related to the course topics.
-
Meet with peers to discuss course concepts, assignments, and projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice data analysis techniques
Show steps
Provides hands-on experience in applying data analysis techniques covered in the course.
Browse courses on
Data Analysis Techniques
Show steps
-
Use data analysis software to explore and manipulate sample datasets.
-
Complete guided tutorials or online courses on data analysis techniques.
-
Participate in online data analysis challenges or competitions.
Develop a data analysis plan
Show steps
Applies the concepts of developing a data analysis plan as taught in the course.
Show steps
-
Define the business problem or opportunity that the data analysis will address.
-
Determine the data sources and methods for data collection.
-
Outline the data analysis techniques that will be used.
-
Describe the expected outcomes and deliverables of the data analysis.
-
Create a timeline and budget for the data analysis project.
Create a data visualization dashboard
Show steps
Reinforces the concepts of creating effective data visualizations and dashboards covered in the course.
Browse courses on
Data Visualization
Show steps
-
Select a dataset that aligns with the course topics.
-
Use data visualization tools to create interactive visualizations.
-
Design a dashboard layout that effectively communicates insights from the visualizations.
-
Share the dashboard with peers or a wider audience for feedback.
Contribute to an open-source data analysis project
Show steps
Provides exposure to real-world data analysis projects and contributes to the community.
Show steps
-
Identify an open-source data analysis project that aligns with the course topics.
-
Review the project documentation and codebase.
-
Identify areas where you can contribute to the project.
-
Make code contributions or provide feedback to the project.
-
Engage with the project community and learn from other contributors.
Enter a data analysis competition
Show steps
Provides a challenging and practical application of data analysis skills learned in the course.
Browse courses on
Kaggle Competitions
Show steps
-
Identify a suitable data analysis competition that aligns with the course topics.
-
Form a team or work individually to develop a data analysis solution.
-
Submit the data analysis solution and participate in the competition.
-
Reflect on the competition experience and identify areas for improvement.
Review statistical concepts
Show steps
Strengthens the understanding of statistical concepts that are essential for data analytics.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks on statistics.
- Complete practice problems or exercises on statistical concepts.
Review concepts of data analytics
Show steps
Strengthens the understanding of key data analytics concepts taught in the course.
Browse courses on
Business Data Analytics
Show steps
Show steps
Show steps
- Review existing notes and resources on data analytics.
- Explore online articles and tutorials on data analytics best practices.
- Complete practice exercises or quizzes on data analytics concepts.
Participate in peer-to-peer discussions
Show steps
Fosters collaboration and diverse perspectives on data analytics concepts.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Join or create a study group with peers taking the course.
- Participate in online forums or discussion boards related to the course topics.
- Meet with peers to discuss course concepts, assignments, and projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice data analysis techniques
Show steps
Provides hands-on experience in applying data analysis techniques covered in the course.
Browse courses on
Data Analysis Techniques
Show steps
Show steps
Show steps
- Use data analysis software to explore and manipulate sample datasets.
- Complete guided tutorials or online courses on data analysis techniques.
- Participate in online data analysis challenges or competitions.
Develop a data analysis plan
Show steps
Applies the concepts of developing a data analysis plan as taught in the course.
Show steps
Show steps
Show steps
- Define the business problem or opportunity that the data analysis will address.
- Determine the data sources and methods for data collection.
- Outline the data analysis techniques that will be used.
- Describe the expected outcomes and deliverables of the data analysis.
- Create a timeline and budget for the data analysis project.
Create a data visualization dashboard
Show steps
Reinforces the concepts of creating effective data visualizations and dashboards covered in the course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Select a dataset that aligns with the course topics.
- Use data visualization tools to create interactive visualizations.
- Design a dashboard layout that effectively communicates insights from the visualizations.
- Share the dashboard with peers or a wider audience for feedback.
Contribute to an open-source data analysis project
Show steps
Provides exposure to real-world data analysis projects and contributes to the community.
Show steps
Show steps
Show steps
- Identify an open-source data analysis project that aligns with the course topics.
- Review the project documentation and codebase.
- Identify areas where you can contribute to the project.
- Make code contributions or provide feedback to the project.
- Engage with the project community and learn from other contributors.
Enter a data analysis competition
Show steps
Provides a challenging and practical application of data analysis skills learned in the course.
Browse courses on
Kaggle Competitions
Show steps
Show steps
Show steps
- Identify a suitable data analysis competition that aligns with the course topics.
- Form a team or work individually to develop a data analysis solution.
- Submit the data analysis solution and participate in the competition.
- Reflect on the competition experience and identify areas for improvement.
Career center
Learners who complete Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst processes and interprets data to help businesses make informed decisions. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the skills needed to extract meaningful insights from data, which is essential for success in this role. This course covers topics such as developing research questions, assembling source data, developing and executing data analysis plans, and communicating findings to stakeholders, all of which are critical tasks for Data Analysts.
Business Analyst
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing business processes and data. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can provide you with the foundation you need to understand the business context of data analysis and how to use data to drive decision-making. This course covers topics such as developing research questions, planning data analysis projects, and communicating findings to stakeholders, all of which are essential skills for Business Analysts.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods to extract knowledge from data. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to succeed in this role. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, all of which are essential for Data Scientists.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand consumer behavior and market trends. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the skills needed to collect, analyze, and interpret data to gain insights into consumer behavior. This course covers topics such as developing research questions, designing and executing research projects, and communicating findings to stakeholders, all of which are essential for Market Researchers.
Financial Analyst
Financial Analyst
A Financial Analyst uses financial data to make investment and business decisions. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the skills needed to analyze financial data and make informed decisions. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, all of which are essential for Financial Analysts.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical techniques to solve business problems. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to succeed in this role. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, all of which are essential for Operations Research Analysts.
Management Consultant
Management Consultant
A Management Consultant helps organizations improve their performance by providing advice and recommendations. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to understand business problems and make data-driven recommendations. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, all of which are essential for Management Consultants.
Data Engineer
Data Engineer
A Data Engineer builds and maintains the infrastructure needed to store and process data. While the Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course may not directly teach the technical skills needed to become a Data Engineer, it can provide you with a strong foundation in data analysis and data management, which are essential for success in this role.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. While the Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course may not directly teach the technical skills needed to become a Software Engineer, it can provide you with a strong foundation in data analysis and data management, which are becoming increasingly important in software development.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to understand customer needs and make data-driven decisions about product development. This course covers topics such as developing research questions, designing and executing research projects, and communicating findings to stakeholders, all of which are essential for Product Managers.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to understand customer behavior and make data-driven decisions about marketing campaigns. This course covers topics such as developing research questions, designing and executing research projects, and communicating findings to stakeholders, all of which are essential for Marketing Managers.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading a sales team and achieving sales targets. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to understand customer needs and make data-driven decisions about sales strategies. This course covers topics such as developing research questions, designing and executing research projects, and communicating findings to stakeholders, all of which are essential for Sales Managers.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with a company's products or services. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course can help you develop the analytical skills needed to understand customer needs and make data-driven decisions about customer service. This course covers topics such as developing research questions, designing and executing research projects, and communicating findings to stakeholders, all of which are essential for Customer Success Managers.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and controlling projects. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course may be useful for Project Managers who want to develop a better understanding of data analysis and data management. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, which can be helpful for Project Managers who need to make data-driven decisions about project planning and execution.
Business Owner
Business Owner
A Business Owner is responsible for the overall success of their business. The Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas course may be useful for Business Owners who want to develop a better understanding of data analysis and data management. This course covers topics such as developing research questions, designing and executing data analysis plans, and communicating findings to stakeholders, which can be helpful for Business Owners who need to make data-driven decisions about their businesses.
For more career information including salaries, visit:
OpenCourser.com/course/bv7tgd/certification
Reading list
We've selected 13 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
Certification in Business Data Analytics (IIBA®- CBDA): The Domain Areas.
Save
Provides a thorough introduction to the various methods and techniques used in business data analytics. It covers topics such as data mining, statistical modeling, and machine learning. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a comprehensive overview of statistical learning. It covers topics such as linear regression, logistic regression, and decision trees. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a comprehensive overview of data science for business. It covers topics such as data mining, statistical modeling, and machine learning. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a comprehensive overview of information visualization. It covers topics such as visual perception, visual design, and evaluation methods. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a practical guide to using data analytics to improve business decision-making. It covers topics such as data collection, data cleaning, and data analysis. The book is written in a clear and concise style and is packed with real-world examples.
Provides a comprehensive overview of the theory and applications of business data analytics. It covers topics such as data warehousing, data mining, and business intelligence. The book is well-written and provides numerous case studies to help illustrate the concepts.
Save
Provides a fascinating look at the power of predictive analytics. It covers topics such as how to use data to predict customer behavior, identify fraud, and improve healthcare outcomes. The book is well-written and is packed with real-world examples.
Provides a comprehensive overview of probability and statistics. It covers topics such as probability distributions, statistical inference, and hypothesis testing. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a comprehensive overview of operations research. It covers topics such as linear programming, integer programming, and network flow programming. The book is well-written and provides numerous examples to help illustrate the concepts.
Save
Provides a practical introduction to data visualization. It covers topics such as choosing the right charts and graphs, creating effective visualizations, and communicating data insights. The book is well-written and provides numerous examples to help illustrate the concepts.
Save
Provides a thought-provoking exploration of the impact of big data on our lives. It covers topics such as how big data is changing the way we work, shop, and communicate. The book is well-written and provides numerous examples to help illustrate the concepts.
Provides a very accessible introduction to machine learning for beginners. It covers topics such as supervised learning, unsupervised learning, and deep learning. The book is written in a fun and engaging style and is packed with real-world examples.
Provides a very accessible introduction to deep learning for beginners. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. The book is written in a fun and engaging style and is packed with real-world examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bv7tgd/certification
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Time
131 hours
Level
Intermediate
Via
Pluralsight
Instructor
Jamie Champagne
Language
English
Good to know
Teaches learners industry standard skills and knowledge to work effectively
Builds a strong foundation for learners
Course instructor Jamie Champagne is recognized for their work in Business Data Analytics
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