Course curriculum

  • 1

    Section 1: Introduction to analysing data using AI

    • 1.1 Welcome to this unit

    • 1.2 Introducing analysing data using AI

    • 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

    Section 2: Understanding key concepts

    • 2.1 Welcome to section 2

    • 2.2 Introducing the data analysis process

    • 2.3 Introduction to statistical analysis

    • 2.4 Types of data

    • 2.5 Understanding data analysis methods

    • 2.6 Data analysis techniques

    • 2.7 Understanding data quality

    • 2.8 Legal considerations relating to data

    • 2.9 Section 2 Quiz
  • 3

    Section 3: Planning for data analysis

    • 3.1 Welcome to section 3

    • 3.2 Selecting a focus

    • 3.3 Investigating AI technologies

    • 3.4 AI technologies for data analysis

    • 3.5 Preparing a research report

    • 3.6 AI technologies research report template

    • 3.7 Discussing requirements

    • 3.8 Creating a data analysis project plan

    • 3.9 Data analysis project plan template

    • 3.10 Seeking approval for your project

    • 3.11 Section 3 Quiz
  • 4

    Section 4: Undertaking data analysis

    • 4.1 Welcome to section 4

    • 4.2 Introduction to undertaking analysis and developing insights

    • 4.3 Gathering data

    • 4.4 Evaluating data quality

    • 4.5 Preparing for using AI technologies

    • 4.6 Tips for preparing data analysis reports

    • 4.7 Analysing data using AI

    • 4.8 Developing forecasts using AI

    • 4.9 Example: Using Google Gemini to analyse data

    • 4.10 Section 4 Quiz
  • 5

    Section 5: Preparing data-driven insights

    • 5.1 Welcome to section 5

    • 5.2 Generating insights

    • 5.3 Documenting a data analysis report

    • 5.4 Data analysis report

    • 5.5 Digitally storing your data and report

    • 5.6 Sharing your report

    • 5.8 Section 5 Quiz
  • 6

    Section 6: Analysing data using AI summary

    • 6.1 Welcome to section 6

    • 6.2 Key takeaways

    • 6.3 The future of data analysis

    • 6.4 How to keep your knowledge up to date

    • 6.5 Congratulations and what’s next
  • 7

    Section 7: Bonus resouces

    • 7.1 Bonus section introduction

    • 7.2 A Beginners' Guide to Data and Analytics

    • 7.3 Data Analysts 2.0 - Navigating AI's Impact

    • 7.4 Generative AI in Practice - Exploring Use Cases to Harness Enterprise Data

    • 7.5 Introduction to Data Analytics

    • 7.6 The Future of Strategic Measurement - Enhancing KPIs with AI

    • 7.7 What is Big Data?

    • 7.8 Top Five Data Science and Generative AI Trends for 2024

    • 7.9 An Introduction to Data Visualization for Marketers

    • 7.10 How Generative AI Can Support Advanced Analytics Practice