Syllabus

Course: SHDM2

This version of the syllabus has been slightly reviewed and adapted to be 100% online. It might differ from the version provided by your school.

Time Schedule (Paris Time)

• Morning (MS):

  • 9h - 12h (with breaks)

• Afternoon slots (AS):

  • 14h - 17h (with breaks)

• Office Hours:

  • Wednesday to Friday, 12h30-13h30 via Zoom

• Sessions:

  • Class 01, Tuesday 14th - Group 1, Group 2 - AS
  • Class 02, Wednesday 15th - Group 1 MS, Group 2 AS
  • Class 03, Thursday 16th - Group 1 MS, Group 2 AS
  • Class 04, Friday 17th - Group 1 MS, Group 2 AS

• Final Exam:

  • Monday, April 20th: 10h - 10h40

Introduction

During this course, students will learn how to build a predictive model using Dataiku DSS, a collaborative Data Science platform.

While learning how to use the platform, students will be exposed to typical company use cases, falling into the Enterprise AI field.

They will learn and re-learn Data Science core concepts, from the identification of a need up to the interpretation of Machine Learning model.

They will also work with various Data Science technologies (including Python & SQL) to better analyse their data, and interact with the platform in a different way.

Students will also go through every steps of a Data Science workflow (import, cleaning, analysing, visualising, feature engineering & predicting)

Structure of the repository

In this repository, you will find a folder for each class.
The folder will contain the following:

• a README.md file with indications regarding:
  • a link to the slides
  • Class presentation
  • Content covered during the class
  • Resources & external links with resources used during the class
• code snippets (class03)
• a .zip file with the correction of the hands-on in class, updated every after every class (for class02, class03, class04)

Evaluation

The evaluation process has been adapted to be 100% online as well. The evaluation will consist in:

• 50% accounting for the results of your final exam
• 50% accounting for the content of your hands on sessions

Contact information

Don't hesitate to contact me via email or via Slack, on #course-dataiku

I encourage you to take advantage of the office hours to get an answer quickly!
Reminder: office hours from 12.30 to 13.30 Paris Time, Wednesday to Friday