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Connor Stead
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.
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What's inside
Syllabus
Basics of insight generation
Organisations and governments everywhere want to exploit data to predict behaviors and extract valuable real-world insights. Billions of devices and social media conversations are fueling the rate at which humanity is producing data. Therefore, we need more skills to understand data and make our systems, policies and governance models more efficient. This week we will highlight the potential of generating insights with the help of data in allowing individuals, businesses, and governments to make effective decisions.
Read more
Syllabus
Basics of insight generation
Organisations and governments everywhere want to exploit data to predict behaviors and extract valuable real-world insights. Billions of devices and social media conversations are fueling the rate at which humanity is producing data. Therefore, we need more skills to understand data and make our systems, policies and governance models more efficient. This week we will highlight the potential of generating insights with the help of data in allowing individuals, businesses, and governments to make effective decisions.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops skills in data analytics and insights generation, which are in high demand in various industries
Applies data analytics concepts to sustainability-oriented innovation, addressing current challenges and opportunities
Covers future-proofing skills like teamwork, stakeholder collaboration, and ethical decision-making, which are essential for navigating future organizational challenges
Provides a comprehensive overview of data analytics and its applications, making it suitable for beginners and those seeking to enhance their understanding
Emphasizes the use of real-world challenges for practical application of data analytics techniques
Requires access to statistical software for hands-on exercises, which may incur additional costs for learners
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Reviews summary
Data insights and bi fundamentals
According to learners, this course provides a solid foundation in business intelligence and data analytics, particularly focusing on generating insights from data. Many find the explanations clear and accessible, making potentially complex topics understandable. The sections on data visualization are frequently highlighted as a major strength, particularly for learning to tell stories with data. Students also appreciate the practical examples and well-designed assignments that reinforce learning. However, some reviews suggest the statistics sections are basic and might not satisfy those seeking depth. There are also comments that certain topics, like predictive modeling, feel brief and that the course could offer more hands-on tool practice for direct job application, leading to a perception that it is sometimes more theoretical than practical for some learners.
Statistics section is introductory.
"Found the statistics section a bit too basic for my needs, could use more depth."
"If you have some stats background, this part might feel like a review."
"I felt the statistical explanations were sometimes confusing or overly simplistic."
Assignments reinforce learning well.
"The assignments and exercises were practical and helped me apply what I learned."
"Labs were well-designed and crucial for understanding the concepts."
"Doing the hands-on activities solidified my knowledge."
Strong focus on visualizing data.
"The data visualization modules were particularly well-done and useful."
"I loved learning how to tell stories with data through visualization."
"Creating charts and dashboards was a practical and valuable skill taught here."
Course content is explained well.
"The course content was explained clearly and logically."
"Instructors made complex concepts accessible and easy to understand."
"I appreciated how the course broke down topics into digestible parts."
"Everything was presented in a way that was easy for me to grasp."
Provides a good introductory base.
"This course offers a really good introduction to business intelligence and data analytics."
"It gave me a solid base for understanding how to derive insights from data."
"A great starting point if you are new to the field."
Some sections feel rushed.
"Some parts of the course felt a bit rushed, like the predictive modeling section."
"Certain interesting topics were only briefly touched upon."
"I wished there was more time spent on specific methods or tools."
Perceived lack of hands-on tools.
"The course felt more theoretical than I expected, less focus on specific tools."
"I was hoping for more hands-on practice with actual BI/analytics software."
"Didn't feel fully prepared to immediately apply skills in a job setting without more tool experience."
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 Business intelligence and data analytics: Generate insights with these
activities:
Read 'Megatrends: How the World Will Change and Shape Our Lives'
Show steps
Gain a comprehensive overview of the key megatrends shaping the future by reading this seminal work.
View
Megatrends 2000
on Amazon
Show steps
-
Read the book and take notes on the main points.
-
Identify the key megatrends and their potential implications.
-
Consider how these megatrends might impact your organization or industry.
Collaborate with peers on a data analysis project
Show steps
Strengthen your analytical skills by working with peers to solve a complex data analysis problem.
Show steps
-
Form a study group with other students in the course.
-
Choose a data analysis project that interests the group.
-
Divide the work among group members.
-
Meet regularly to discuss progress and share insights.
-
Present the final project to the class.
Practice interpreting basic statistics
Show steps
Build a solid foundation in statistics by completing practice exercises that reinforce the concepts covered in Week 2.
Show steps
-
Review the provided statistical concepts and formulas.
-
Solve the practice problems using the provided datasets.
-
Check your answers and compare them with the solutions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a data-driven infographic
Show steps
Enhance your data visualization skills by creating an infographic that effectively communicates key insights from a given dataset.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and identify the key insights you want to convey.
-
Select an appropriate infographic format and design.
-
Use data visualization principles to create clear and engaging visuals.
-
Share your infographic with others for feedback.
Explore advanced visualization techniques
Show steps
Expand your understanding of data visualization by following tutorials that showcase advanced techniques for presenting data insights.
Browse courses on
Data Visualization
Show steps
-
Identify the appropriate advanced visualization technique for a given dataset.
-
Find and follow online tutorials to learn how to implement the technique.
-
Create your own visualizations using the learned techniques.
Contribute to a data analytics open-source project
Show steps
Gain practical experience in data analytics by contributing to a real-world open-source project.
Browse courses on
Data Analytics
Show steps
-
Identify an open-source data analytics project that aligns with your interests.
-
Learn about the project's goals and codebase.
-
Identify a specific area where you can contribute your skills.
-
Submit a pull request with your proposed changes.
-
Collaborate with the project maintainers to refine and merge your contributions.
Develop a sustainability-focused innovation proposal
Show steps
Apply the concepts of sustainability and innovation by creating a proposal that outlines a novel solution to a real-world challenge.
Browse courses on
Sustainability
Show steps
-
Identify a specific sustainability-related issue.
-
Research and explore potential solutions.
-
Develop a detailed proposal outlining your innovative solution.
-
Present your proposal to a group of peers or mentors for feedback.
Read 'Megatrends: How the World Will Change and Shape Our Lives'
Show steps
Gain a comprehensive overview of the key megatrends shaping the future by reading this seminal work.
View
Megatrends 2000
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes on the main points.
- Identify the key megatrends and their potential implications.
- Consider how these megatrends might impact your organization or industry.
Collaborate with peers on a data analysis project
Show steps
Strengthen your analytical skills by working with peers to solve a complex data analysis problem.
Show steps
Show steps
Show steps
- Form a study group with other students in the course.
- Choose a data analysis project that interests the group.
- Divide the work among group members.
- Meet regularly to discuss progress and share insights.
- Present the final project to the class.
Practice interpreting basic statistics
Show steps
Build a solid foundation in statistics by completing practice exercises that reinforce the concepts covered in Week 2.
Show steps
Show steps
Show steps
- Review the provided statistical concepts and formulas.
- Solve the practice problems using the provided datasets.
- Check your answers and compare them with the solutions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a data-driven infographic
Show steps
Enhance your data visualization skills by creating an infographic that effectively communicates key insights from a given dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and identify the key insights you want to convey.
- Select an appropriate infographic format and design.
- Use data visualization principles to create clear and engaging visuals.
- Share your infographic with others for feedback.
Explore advanced visualization techniques
Show steps
Expand your understanding of data visualization by following tutorials that showcase advanced techniques for presenting data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the appropriate advanced visualization technique for a given dataset.
- Find and follow online tutorials to learn how to implement the technique.
- Create your own visualizations using the learned techniques.
Contribute to a data analytics open-source project
Show steps
Gain practical experience in data analytics by contributing to a real-world open-source project.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify an open-source data analytics project that aligns with your interests.
- Learn about the project's goals and codebase.
- Identify a specific area where you can contribute your skills.
- Submit a pull request with your proposed changes.
- Collaborate with the project maintainers to refine and merge your contributions.
Develop a sustainability-focused innovation proposal
Show steps
Apply the concepts of sustainability and innovation by creating a proposal that outlines a novel solution to a real-world challenge.
Browse courses on
Sustainability
Show steps
Show steps
Show steps
- Identify a specific sustainability-related issue.
- Research and explore potential solutions.
- Develop a detailed proposal outlining your innovative solution.
- Present your proposal to a group of peers or mentors for feedback.
Career center
Learners who complete Business intelligence and data analytics: Generate insights will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst is responsible for analyzing data to help businesses make informed decisions. This course will help you develop the skills you need to succeed in this role, including data analysis, visualization, and communication. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course will help you develop the skills you need to succeed in this role, including data analysis, visualization, and communication. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. This course will help you develop the skills you need to succeed in this role, including data analysis, machine learning, and deep learning. You will also learn how to communicate your findings to non-technical audiences.
Market Researcher
Market Researcher
A Market Researcher is responsible for conducting research to help businesses understand their customers and make informed decisions. This course will help you develop the skills you need to succeed in this role, including data analysis, survey design, and qualitative research methods. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data systems. This course will help you develop the skills you need to succeed in this role, including data architecture, database management, and cloud computing. You will also learn how to work with big data and how to use data to solve business problems.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to help businesses make informed decisions. This course will help you develop the skills you need to succeed in this role, including financial analysis, modeling, and valuation. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Management Consultant
Management Consultant
A Management Consultant is responsible for helping businesses improve their performance. This course will help you develop the skills you need to succeed in this role, including problem-solving, analytical thinking, and communication. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Product Manager
Product Manager
A Product Manager is responsible for developing and managing products. This course will help you develop the skills you need to succeed in this role, including product development, marketing, and customer research. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve business problems. This course will help you develop the skills you need to succeed in this role, including optimization, simulation, and queuing theory. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Risk Analyst
Risk Analyst
A Risk Analyst is responsible for identifying and assessing risks to businesses. This course will help you develop the skills you need to succeed in this role, including risk management, modeling, and scenario analysis. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course will help you develop the skills you need to succeed in this role, including programming, software design, and testing. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings. Some Software Engineers who specialize in data analysis may find this course especially helpful.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course will help you develop the skills you need to succeed in this role, including statistical analysis, modeling, and forecasting. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing data architectures. This course will help you develop the skills you need to succeed in this role, including data modeling, data integration, and data governance. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course will help you develop the skills you need to succeed in this role, including database design, database administration, and data security. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is responsible for protecting businesses from cyberattacks. This course will help you develop the skills you need to succeed in this role, including information security, risk assessment, and incident response. You will also learn how to use data to identify trends and patterns, and how to make recommendations based on your findings.
For more career information including salaries, visit:
OpenCourser.com/course/rmq2o5/business
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
Business intelligence and data analytics: Generate insights.
Classic in the field of statistical learning, which would be a valuable reference for learners who want to dive deeper into the underlying statistical concepts.
Save
Provides insights into predictive analytics and its applications in various industries, which would expand the scope of the course.
Provides a comprehensive introduction to statistics for data science, which would serve as a valuable reference for understanding statistical concepts covered in the course.
Provides a theoretical foundation for machine learning, which would add depth to the course materials.
Offers a comprehensive overview of natural language processing and machine learning techniques for language data, which would expand the scope of the course.
Save
Provides a comprehensive guide to using R for data science, which would be useful for learners who want to explore an alternative to Python.
Beginner's guide to data analysis using Python, which would provide a solid foundation for learners with no prior programming experience.
Provides insights into web data mining techniques and applications, which would expand the scope of the course beyond traditional data sources.
Offers a practical guide to data visualization techniques, which would complement the course materials on data presentation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rmq2o5/business
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Institution
Macquarie University
Instructor
Connor Stead
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This course belongs to a
collection
called
Analysing: Numeric and digital literacies. It's comprised of four courses:
- Corporate finance: Know your numbers 2
- Marketing analytics: Know your customers
- Business intelligence and data analytics: Generate insights (viewing)
- Management and financial accounting: Know your numbers 1
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