Business intelligence and data analytics: Generate insights
Master data analytics tools and techniques to extract valuable business insights and make data-driven decisions.
Master data analytics tools and techniques to extract valuable business insights and make data-driven decisions.
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 Analysing: Numeric and digital literacies Specialization 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.
4.6
(429 ratings)
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English
Tiếng Việt
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What you'll learn
Apply basic and advanced statistical concepts
Create effective data visualizations and dashboards
Interpret statistical patterns and relationships
Generate insights from business data
Develop predictive models for forecasting
Skills you'll gain
This course includes:
3 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course covers fundamental concepts in business intelligence and data analytics. Students learn statistical analysis, data visualization, and predictive modeling techniques using industry-standard tools. The curriculum progresses from basic statistics through advanced topics like normal distribution, correlation analysis, data visualization, dashboard creation, and demand forecasting. Practical applications focus on generating actionable business insights from data.
Basics of insight generation
Module 1 · 3 Hours to complete
Basic statistics: Foundations of quantitative insights
Module 2 · 2 Hours to complete
The normal distribution and histograms
Module 3 · 1 Hours to complete
Data visualisation
Module 4 · 1 Hours to complete
Advanced charts and dashboards
Module 5 · 1 Hours to complete
Demand forecasting
Module 6 · 1 Hours to complete
Fee Structure
Instructor
Data Analytics Professional with Expertise in Information Systems and Governance
Connor is a data analytics professional who leverages state-of-the-art technologies to tackle complex organizational problems. He has experience in analyst and programmer roles within the pharmaceutical industry and the Commonwealth Bank’s fraud data science team, before transitioning to a data management position with the NSW Ministry of Health. Currently, he is exploring his interest in teaching while conducting information systems research at Macquarie University’s Department of Computing. Connor has also completed postgraduate research on the impact of changes in International Financial Reporting Standards on financial institutions' data governance frameworks.
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4.6 course rating
429 ratings
Frequently asked questions
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