Data Analytics Program - Danske (For learners up to 2023-09)
Course Structure
Percentages represent an estimated time commitment required compared to the full course. Keep in mind that the real time spent can strongly differ based on the knowledge background of different learners.
Module 1: Introduction to core Data Analysis tools | ||
3% | Sprint 1 | Structured approach to data analysis |
5% | Sprint 2 | Analyst toolkit. Spreadsheets |
7% | Sprint 3 | Analyst toolkit. SQL and databases |
8% | Sprint 4 | Analyst toolkit. Advanced SQL and databases |
Module 2: Communicating Analysis Results | ||
8% | Sprint 1 | Visualising Data Using Tableau |
5% | Sprint 2 | Presentations & Soft skills |
Modules 3-4 (modules A & B can be taken in any order): | ||
8% | Module A | Data analysis and visualisation with Python |
17% | Module B | Funnels, AB tests (5%); Linear & logistic regression (7%); Risk Analyst (5%) |
Module 5: Main Analysis Types (Danske) | ||
5% | Sprint 1 | Cohorts, Retention, Churn |
5% | Sprint 2 | CLV (Customer Lifetime Value), Customer segmentation, RFM (recency, frequency & monetary value) |
Specialisation modules (modules A-E can be taken in any order) | ||
5% | Module A | Financial Analyst |
5% | Module B | Product analyst |
5% | Module C | Marketing analyst |
5% | Module D | Payments, Monetisation Analyst |
9% | Module E | Capstone project |
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Turing College