Link to the Data Analytics Program for the Danske Bank employees: https://turingcollege.atlassian.net/wiki/x/JwBMNw
Program Structure v2 (learners starting in 2023 and beyond)*
Percentages represent an estimated time commitment required compared to the full program. 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 | Visualisation tools (Looker Studio/Tableau/Power BI) |
5% | Sprint 2 | Presentations & Soft skills |
Module 3: Main Analysis Types | ||
5% | Sprint 1 | Cohorts, Retention, Churn |
5% | Sprint 2 | Funnels, AB tests |
5% | Sprint 3 | CLV (Customer Lifetime Value), Customer segmentation, RFM (recency, frequency & monetary value) |
7% | Sprint 4 | Linear & logistic regression |
Specialisation modules (optional) | ||
5% | Specialisation | Financial Analyst |
5% | Specialisation | Risk analyst |
8% | Specialisation | Data analysis and visualisation with Python |
5% | Specialisation | Product analyst |
5% | Specialisation | Marketing analyst |
5% | Specialisation | Payments, Monetisation Analyst |
9% | Available after completing one of the specialisation modules | Capstone project |
*Turing College reserves the right to update and (or) amend the program curriculum and its structure as well as release new program versions.
Program Structure v1 (learners starting in 2022)*
Module 1: Introduction to core Data Analysis tools | ||
3% | Sprint 1 | Structured approach to data analysis |
5% | Sprint 2 | Analyst toolkit. Spreadsheets |
15% | Sprint 3 | Analyst toolkit. SQL and databases |
Module 2: Main analysis types | ||
5% | Sprint 1 | Cohorts, Retention, Churn |
5% | Sprint 2 | Funnels, AB tests |
5% | Sprint 3 | CLV (Customer Lifetime Value), Customer segmentation, RFM (recency, frequency & monetary value) |
7% | Sprint 4 | Linear & logistic regression |
Module 3: Analyzing business problems | ||
5% | Sprint 1 | Product analyst |
5% | Sprint 2 | Marketing analyst |
5% | Sprint 3 | Payments, Monetisation Analyst |
Module 4: Communicating analysis results | ||
8% | Sprint 1 | Visualisation tools (Data Studio) |
5% | Sprint 2 | Presentations & Soft skills |
Specialization modules (optional) | ||
5% | Specialization | Financial Analyst |
5% | Specialization | Risk analyst |
8% | Specialization | Data analysis and visualisation with Python |
Module 5: Capstone project (optional) | ||
9% | Sprint 1 | Project covering all topics previously learned |
*Turing College reserves the right to update and (or) amend the program curriculum and its structure as well as release new program versions.