Course curriculum

    1. 1.1 Welcome to this unit

    2. 1.2 Introducing analysing data using AI

    3. 1.3 What this unit will cover

    4. 1.4 What you’ll learn

    5. 1.5 A note on completing this unit

    6. 1.6 Section 1 quiz

    1. 2.1 Welcome to section 2

    2. 2.2 Introducing the data analysis process

    3. 2.3 Introduction to statistical analysis

    4. 2.4 Types of data

    5. 2.5 Understanding data analysis methods

    6. 2.6 Data analysis techniques

    7. 2.7 Understanding data quality

    8. 2.8 Legal considerations relating to data

    9. 2.9 Section 2 Quiz

    1. 3.1 Welcome to section 3

    2. 3.2 Selecting a focus

    3. 3.3 Investigating AI technologies

    4. 3.4 AI technologies for data analysis

    5. 3.5 Preparing a research report

    6. 3.6 AI technologies research report template

    7. 3.7 Discussing requirements

    8. 3.8 Creating a data analysis project plan

    9. 3.9 Data analysis project plan template

    10. 3.10 Seeking approval for your project

    11. 3.11 Section 3 Quiz

    1. 4.1 Welcome to section 4

    2. 4.2 Introduction to undertaking analysis and developing insights

    3. 4.3 Gathering data

    4. 4.4 Evaluating data quality

    5. 4.5 Preparing for using AI technologies

    6. 4.6 Tips for preparing data analysis reports

    7. 4.7 Analysing data using AI

    8. 4.8 Developing forecasts using AI

    9. 4.9 Example: Using Google Gemini to analyse data

    10. 4.10 Section 4 Quiz

    1. 5.1 Welcome to section 5

    2. 5.2 Generating insights

    3. 5.3 Documenting a data analysis report

    4. 5.4 Data analysis report

    5. 5.5 Digitally storing your data and report

    6. 5.6 Sharing your report

    7. 5.8 Section 5 Quiz

    1. 6.1 Welcome to section 6

    2. 6.2 Key takeaways

    3. 6.3 The future of data analysis

    4. 6.4 How to keep your knowledge up to date

    5. 6.5 Congratulations and what’s next

About this course

  • Free
  • 58 lessons
  • 0 hours of video content