Business intelligence and data analytics: Generate insights
- 4.6
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Course Summary
Learn how to turn data into insights and make informed business decisions with this Business Intelligence and Data Analytics course. Explore data visualization, data mining, and predictive analytics techniques to improve your analytical skills.Key Learning Points
- Understand the fundamentals of Business Intelligence and Data Analytics
- Learn how to use data visualization tools to make informed decisions
- Explore data mining and predictive analytics techniques
Related Topics for further study
Learning Outcomes
- Ability to analyze data and make informed business decisions
- Knowledge of data visualization tools and techniques
- Understanding of data mining and predictive analytics
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics and mathematics
- Proficiency in Excel or similar spreadsheet software
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Analysis and Presentation Skills: the PwC Approach
- Foundations of Data Analysis - Part 1: Statistics Using R
Related Education Paths
- Certified Business Intelligence Professional
- Certified Data Analyst
- Certified Business Analytics Professional
Related Books
Description
‘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.
Outline
- Basics of insight generation
- Course welcome and introduction
- Week 1 outline
- Video 1.1 Data is the new oil
- Video 1.2 Data value chain
- Video 1.3 Tools for generating insights [practice spreadsheet available under 'Download']
- Course overview
- Learning activities and assessment
- Explore further resources 1
- Recall 1
- Week 1
- Basic statistics: Foundations of quantitative insights
- Week 2 outline
- 2.1 Basic statistics
- 2.2 Types of variables
- 2.3 Measures of central tendency
- 2.4 Measures of dispersion
- Explore further resources 2
- Recall 2
- Week 2
- The normal distribution and histograms
- Week 3 outline
- 3.1 Normal distribution and histograms
- 3.2 The empirical rule
- 3.3 Covariance and correlation
- Become a Global MBA learner
- Explore further resources 3
- Recall 3
- Week 3
- Data visualisation
- Week 4 outline
- 4.1 Data visualisation and Anscombe’s Quartet
- 4.2 Data Cleaning using Tableau
- 4.3 Bar chart and heat maps
- Explore further resources 4
- Recall 4
- Week 4
- Advanced charts and dashboards
- Week 5 outline
- 5.1 Bar in bar graph and bullet graph visualisations
- 5.2 Generating insights from social media data
- 5.3 Dashboards
- Explore further resources 5
- Recall 5
- Week 5
- Demand forecasting
- Week 6 outline
- 6.1 Regression analysis
- 6.2 Demand forecasting
- 6.3 Demand forecasting & smoothing methods
- Explore further resources 6
- Recall 6
- Week 6
Summary of User Reviews
Discover the world of Business Intelligence and Data Analytics with this comprehensive course on Coursera. Students have given high praise for the course, with many appreciating the practical and hands-on approach to learning.Key Aspect Users Liked About This Course
Many users found the real-world examples and case studies particularly helpful in understanding the concepts.Pros from User Reviews
- Practical and hands-on approach to learning
- Real-world examples and case studies
- In-depth coverage of concepts and tools
- Engaging and knowledgeable instructors
- Flexible schedule and self-paced learning
Cons from User Reviews
- Some users felt the course could be more challenging
- Limited interaction with instructors and peers
- Technical glitches and issues with course materials
- Lack of focus on advanced topics
- Course may not be suitable for absolute beginners
David Pitt
4.6 Raiting
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