TrainingsDE 2ème/3ème cycleDESU Magistère Ingénieur EconomisteCoursesL3 – Big Data 2 Preparing, structuring and cleansing data.

DESU Magistère Ingénieur EconomisteUE L3 – Big Data 2 Preparing, structuring and cleansing data.

Informations

Content

1) Goals : Master the tasks of data analyst required by data-driven organizations

Discover basic concepts and architectures of Big Data, Data Mining and Machine Learning.

Introduction to R language in R Studio

Learning basic technics for data collection with R

2) Course overview :

Lecture/Practical work 1 : Preparing dataset with R / MS Azure ML & Excel advanced

Lecture/Practical work 2 : Data cleansing with R / MS Azure ML & Excel advanced

Lecture/Practical work 3 : Working with large datasets : preparing and cleansing data using Hadoop clusters & Azure ML

Lecture/Practical work 4 : SQL/noSQL languages for structuring and cleansing

Language used

Main language used by this course: Anglais.

Recommended prerequisites

Having participated in L3 – Big Data 1 course.

Basic knowledge of descriptive statistics and IT tools

Basic knowledge of Ms Excel & Ms Windows

Confort with data manipulation but previous experience with R is not required.

Knowledge of main Linux/Unix commands

Structure and organisation

4 lectures/practical works of 6 hours

Location : Aix En Provence, AMSE, Ferry

Continuous assessment.

Volume of teachings

  • Pratical works: 24 hours

THE TRAININGS WHICH USE THIS COURSE