Content Comparison

Module 1: Introduction to core Data Analysis tools

3%

Sprint 1

Structured approach to data analysis

4%

Sprint 2

Analyst toolkit. Spreadsheets/Excel

5%

Sprint 3

Analyst toolkit. SQL and databases

5%

Sprint 4

Analyst toolkit. Advanced SQL and databases

Module 2: Communicating Analysis Results

6%

Sprint 1

Visualisation tools (Tableau/Power BI)

6%

Sprint 2

Presentations & Soft skills

Module 3: Main Analysis Types

4%

Sprint 1

Cohorts, Retention, Churn

3%

Sprint 2

Funnels

4%

Sprint 3

CLV (Customer Lifetime Value), Customer segmentation, RFM (recency, frequency & monetary value)

5%

Sprint 4

Statistical Inference & A/B Testing

Module 4: Python for Data Analytics

4%

Sprint 1

First Steps Into Programming

5%

Sprint 2

Data Processing with Pandas

5%

Sprint 3

Data Visualization with Python

5%

Sprint 4

Machine Learning

Specialization modules (optional)

5%

Specialisation

Financial Analyst

5%

Specialisation

Risk analyst

6%

Specialisation

Product analyst

6%

Specialisation

Marketing analyst

6%

Specialisation

Payments, Monetisation Analyst

7%

Available after completing one of the specialisation modules

Capstone project