Ready to join the Data Science Bootcamp 2017?

We are pleased to open our 24 Data Science Bootcamp's sessions to the public!

These days, predictive analytics are driving better decisions in numerous domains like marketing, risk, operations and HR in diverse industries. In this session, Nele Verbiest, from Python Predictions, will show how to approach a typical predictive analytics project. At the end of the hands-on sessions, the participants will understand the fundamentals of predictive analytics, be able to build a stable predictive model, and know how to present their results to business in an elegant fashion.

Target

• Data Science professionals looking to gain experience with predictive analytics with R.

Prerequisites

• Knowledge of R.

• R or RStudio (preferred) should be installed

Session outline

1. Introduction to predictive analytics: definitions and usecases
2. Predictive analytics algorithms and evaluation techniques
3. Data preparation for predictive analytics
4. How to align a predictive analytics project with business
5. Presenting your predictive analytics project to business

Practicalities

• Lunch is included in your ticket.

• Doors are open at 8.30 am.

• Accesibility: public transport (stop Yser / Ijzer ). We do not have parking but normally there are some parking slots at Rue de Commerçants.

• Training partners and can contact us via e-mail to request their discount code (training@di-academy.com).