Anyone interested in analytics, and wants to obtain a hands-on first introduction.

Aimed at:

Delivery method:

Interactive classroom training combining theory with practical exercises

Prerequisites:

Required preparation:

Introduction to programming in Python

A GitHub account

2-3 hours

Foundation

Duration:

Skill level:

Prefered group size:

+/-10 participants per trainer (for the exercises, one additional trainer for each +/-4 students)

Course description

This course introduces the basics of data handling and manipulation in Python, based on Pandas and NumPy. Concepts such as arrays, vectorization and data frames are covered.

Learning objective

Upon completion of this training, participants will be able to: perform exploratory data analysis, basic data preparation, assumption checking, and statistical analysis.