1.1 Welcome to this unit
1.2 Introducing data science
1.3 What this unit will cover
1.4 What you’ll learn
1.5 A note on completing this unit
1.6 Section 1 quiz
2.1 Welcome to section 2
2.2 Data science, engineering and analytics
2.3 Understanding statistics and probability
2.4 Introduction to variables
2.5 Correlation and causality
2.6 Understanding data quality
2.7 Wrangling data
2.8 Categorising data
2.9 Section 2 Quiz
3.1 Welcome to section 3
3.2 Considering strategic needs
3.3 Generating ideas for data analyses
3.4 Setting the direction of your data analyses
3.5 Planning for preparing data
3.6 Planning for analysing data
3.7 AI tools for assisting with data analyses
3.8 Creating a data analyses project plan
3.9 Data analyses project plan template
3.10 Planning to undertake your analyses
3.11 Data analyses action plan template
3.12 Section 3 Quiz
4.1 Welcome to section 4
4.2 Introduction to preparing and analysing data
4.3 Undertaking data wrangling and categorisation
4.4 Reviewing data quality
4.5 Enhancing data quality
4.6 Analysing key variables
4.7 Visualising the relationships between variables
4.8 Tools for visualising data science insights
4.9 Section 4 Quiz
5.1 Welcome to section 5
5.2 Determining key outcomes
5.3 Preparing key findings
5.4 Generating data-driven insights
5.5 Documenting a data analyses report
5.6 Data analyses report template
5.7 Informing key stakeholders
5.8 Best practices for presenting data insights
5.9 Improving future data analyses
5.10 Section 5 Quiz
6.1 Welcome to section 6
6.2 Key takeaways
6.3 The future of data science and AI
6.4 How to keep your knowledge up to date
6.5 Congratulations and what’s next
