Beginner to Intermediate6 modules18 lessonsCertificate of Completion

Data Analytics

Learn the complete analytical process from asking good questions to presenting useful insights.

Part of: Data & Reporting

Recommended prerequisite: Excel recommended

$5 · One-time payment · Certificate included

Course introduction

Meet the course.

Watch a short introduction to what this course covers before you enrol.

Outcomes

What you’ll learn

Drawn from the actual modules in this course.

  • Understanding Data
  • Preparing Data
  • Exploring Data
  • Analysing Business Questions
  • Data Visualisation
  • Communicating Insights
Certificate of Completion

How you earn the certificate

  • Complete the lessons in each module
  • Pass each module checkpoint (70% or higher)
  • Pass the final assessment (70% or higher)
  • Receive a verifiable Certificate of Completion with a unique credential ID
One-time payment
Lifetime access
Verified credential
Full curriculum

Course modules & lessons

Open any module to see its lessons. Each module except the last ends with a short “Test Your Knowledge” checkpoint.

Module 1

Understanding Data

3 lessons + checkpoint
1What Data Analytics Is
2Types of Data and Data Sources
3Turning Problems Into Analytical Questions and Success Metrics
Module 2

Preparing Data

3 lessons + checkpoint
1Understanding Rows, Columns, Records and Fields
2Finding Missing Values, Errors and Duplicates
3Cleaning, Standardising and Documenting Data
Module 3

Exploring Data

3 lessons + checkpoint
1Descriptive Statistics
2Grouping and Comparing Data
3Identifying Trends, Patterns, Outliers and Correlation
Module 4

Analysing Business Questions

3 lessons + checkpoint
1Metrics and KPIs
2Segmentation and Comparison
3Drawing Evidence-Based Conclusions: Correlation vs Causation
Module 5

Data Visualisation

3 lessons + checkpoint
1Choosing the Right Chart
2Designing Clear Visualisations
3Building Useful Dashboards
Module 6

Communicating Insights

3 lessons
1Turning Numbers Into Insights
2Writing Recommendations
3Building a Responsible Analytics Case Study: Ethics, Privacy and Bias