Introduction to data analysis with Python

[8 half days] - [English]

Do you need a few reminders about statistics? Do you want to learn how to (better) use Python ? Do you want to be able to analyze data with a tool that is widely used around the world?

Python is an interpreted and object-oriented programming language. Thanks to a simpler syntax construction, Python is more readable compared to other object-oriented languages such as C, for example. Free and open source, this programming language is regularly enriched with new modules of functions provided by users.

Training aims
This training has two objectives. First, the standard tools of the Python language will be introduced. Secondly, this training aims to give participants the necessary knowledge for the basic statistical analysis of their data starting with the importation and the formatting of the data.

Prerequisites
This training course requires some basic statistical knowledge.

Content

• Discovering Python, standard commands, syntax
• Data management
• Statistical toolbox
• Basic statistical analysis : descriptive analysis, linear regression, ANOVA, test on proportions, goodness of fit test

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

Tools used during training
Python

Methods and method families discussed
Data processing
   Data set cleaning and processing for statistical analysis
Descriptive statistics
   Descriptive statistics
   Summary tables
   Charts
Parametric statistics of mean comparison
   Student's t-test
   ANOVA
Regression model
   Simple linear regression
   Logistic regression
   Multiple linear regression