StatDec takes an open approach and welcomes client participation in every phase of an analysis. Responding to frequent requests from clients, we developed active training engagements alongside the consulting work — bespoke sessions for a single organisation, or open public courses.
Curriculum
Four credit risk and analytics training streams
Each stream can be taken on its own or combined with the others.
Retail Portfolios
These sessions aim to provide practical insight into the areas involved in managing the credit cycle. Typical workshop themes are:
- Introduction to Consumer Lending
- Portfolio MIS
- New Business Acquisition
- Basel
- Collections Management
- Profitability — Risk and Return
- Business Training Games — Portfolio Management, Credit Scoring and Collections
Analytics & Development
Hands-on modules that go step by step through to the completion of an analytics project. Topics include:
- Application Score Development
- Behaviour Score Development
- Development and interpretation of Validation Reports
- PD, CCF and LGD models development
SAS Skills
StatDec has used SAS software for over 25 years as part of its analytics and consulting services. Answering frequent requests from partners for technical training in SAS, we developed training modules tailored to the needs of the risk professional.
More than 200 banking sector professionals have attended StatDec's SAS training modules, in basic, advanced or customised subjects.
| Code | Module Title | Duration (min) | Level |
|---|---|---|---|
| INT.1 | Introduction to SAS environment | 90 | Basic |
| INT.2 | Importing Data | 150 | Basic |
| INT.3 | Data Steps & Data Manipulation | 120 | Basic |
| INT.4 | Processes & Analysis | 120 | Basic |
| INT.5 | Merging Data | 120 | Medium |
| INT.6 | Processes: Reports | 210 | Medium |
| ADV.1 | Data Manipulation | 180 | Advanced |
| ADV.2 | Macro Variables & Macro Procedures | 240 | Advanced |
| ADV.3 | Index and Merges | 150 | Advanced |
| ADV.4 | Reporting | 120 | Advanced |
Machine Learning with Python
Courses on data analysis and machine learning model development using Python. The aim is to build the skills trainees need to exploit the analytics methods the Python ecosystem offers in machine learning, data visualisation and data analysis.
Main characteristics of StatDec's Python training are:
- Modules for entry and advanced levels.
- Courses can be customised to the organisation's data and analytics objectives.
- Courses consist of theory and hands-on sessions.
- Courses can be hosted at StatDec or on client premises, and remote assistance on the modules can be provided after the seminar has finished.
An indicative entry Python seminar can include the following modules:
| Code | Module Title | Level |
|---|---|---|
| PY.1 | Introduction to Python | Basic |
| PY.2 | Machine Learning Basics | Basic |
| PY.3 | Data Analysis with Pandas | Basic |
| PYV.1 | Data Visualization (MatplotLib, Seaborn, Plotly) | Basic & Medium |
| PY.4 | Data preparation (cleaning, normalization etc.) | Basic & Medium |
| PYML.1 | Supervised Machine Learning: Logistic regression, Decision Trees, Random Forest, Support Vector Machines [SVM] | Basic & Medium |
| PYML.2 | Unsupervised Machine Learning: Clustering [K-Means] | Basic & Medium |
| PYML.3 | Model evaluation (train/test, K-Fold Cross Validation) | Basic & Medium |
Format
How sessions are delivered
Bespoke or open
Either bespoke sessions for a single organisation, or open public courses. Streams can be taken separately or in combination.
Tailored to your data
Courses can be customised to the organisation's own data and analytics objectives, and to the needs of the risk professional rather than the general analyst.
On site, with follow-up
Sessions can be hosted at StatDec or on client premises. Theory is combined with hands-on work, and remote assistance on the modules can follow the seminar.
Enquiries
Ask about a credit risk course
For information about training sessions, write to us at info@stat-dec.eu, or use the contact form.
FAQ
Frequently asked questions
There are four streams. Retail portfolios covers consumer lending, portfolio MIS, new business acquisition, Basel, collections management and profitability. Analytics and development covers application and behaviour score development, validation reports and PD, CCF and LGD model development. The remaining streams are SAS skills and machine learning with Python.
Both. Sessions can be bespoke to a single organisation or run as open public courses, and the four streams can be taken separately or in combination. Courses can be hosted at StatDec or on client premises, and remote assistance on the modules can be provided after the seminar has finished.
Yes. Courses can be customised to the organisation's own data and analytics objectives. The SAS modules were developed specifically for the needs of the risk professional rather than the general analyst, modules are offered at entry and advanced levels, and every course combines theory with hands-on sessions.
Banking sector professionals. More than 200 have attended StatDec's SAS training modules at basic, advanced or customised level. StatDec has used SAS software for over 25 years as part of its analytics and consulting services, and built the modules in response to frequent requests from partners for technical training.
Module length varies with subject and level. The SAS curriculum runs from a 90-minute introduction to the SAS environment through to 240 minutes on macro variables and macro procedures, at basic, medium and advanced levels. A module plan is proposed once the streams and the level of the team are agreed.
Build the skills in your own team
Tell us which streams interest you and the level of your team, and we will propose a module plan.
Get in touch