- Level Foundation
- Duration 13 hours
- Course by Macquarie University
-
Offered by
About
‘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.Modules
Course overview
1
Videos
- Course welcome and introduction
3
Readings
- Course overview
- Learning activities and assessment
- Software requirements
Access to SAS Viya for Learners
1
External Tool
- SAS Viya for Learners
Weekly outline
1
Videos
- Week 1 outline
Lesson 1
4
Videos
- 1.1 The importance of data in the information age
- 1.2 The data value chain
- 1.3 Tools for generating insights
- 1.4 Job roles available in the data insights market
1
Readings
- Explore further resources 1
Practice 1
1
Assignment
- Recall 1
1
Readings
- Practice task 1
Assessment 1
1
Assignment
- Quiz 1
Weekly outline
1
Videos
- Week 2 outline
Lesson 2
4
Videos
- 2.1 Basic statistics
- 2.2 Variables
- 2.3 Measures of central tendency
- 2.4 Measures of dispersion
1
Readings
- Explore further resources 2
Practice 2
1
Assignment
- Recall 2
1
Readings
- Week 2 - Practice tasks
Assessment 2
1
Assignment
- Quiz 2
Weekly outline
1
Videos
- Week 3 outline
1
Readings
- Become a Global MBA learner
Lesson 3
3
Videos
- 3.1 Normal distribution and histograms
- 3.2 The empirical rule
- 3.3 Covariance and correlation
1
Readings
- Explore further resources 3
Practice 3
1
Assignment
- Recall 3
1
Readings
- Week 3 - Practice tasks
Assessment 3
1
Assignment
- Quiz 3
Weekly outline 4
1
Videos
- Week 4 outline
Lesson 4
3
Videos
- 4.1 Data visualisation and Anscombe’s Quartet
- 4.2 Data cleaning using SAS Data Studio
- 4.3 Bar and Pie Charts
1
Readings
- Explore further resources 4
Practice 4
1
Assignment
- Recall 4
1
Readings
- Week 4 - Practice tasks
Assessment 4
1
Assignment
- Quiz 4
Weekly outline
1
Videos
- Week 5 outline
Lesson 5
4
Videos
- 5.1 Multi variation correlation matrix and bar + line chart
- 5.2 SAS Visual Analytics filtering and controls
- 5.3 KPIs and targeted bar charts
- 5.4 Dashboard theory
1
Readings
- Explore further resources 5
Practice 5
1
Assignment
- Recall 5
1
Readings
- Week 5 - Practice tasks
Assessment 5
1
Assignment
- Quiz 5
Weekly outline
1
Videos
- Week 6 outline
Lesson 6
3
Videos
- 6.1 Linear regression analysis
- 6.2 Forecasting
- 6.3 Forecasting and smoothing methods
1
Readings
- Explore further resources 6
Practice 6
1
Assignment
- Recall 6
1
Readings
- Week 6 - Practice tasks
Assessment 6
1
Assignment
- Quiz 6
Auto Summary
Discover the "Business Intelligence and Data Analytics: Generate Insights" course, designed for those in Business & Management. Led by expert instructors from Coursera, this foundational course spans 780 minutes and equips you with essential analytical tools to tackle 'megatrends.' Explore systems thinking, multidisciplinary methods, and sustainability-oriented innovation to future-proof your skills. Perfect for professionals aiming to enhance their ability to generate valuable insights, the course is available through a Starter subscription.

Connor Stead