Computer programming for data analysis

DUT in Statistics and business intelligence (Université de la Côte d'Azur)

Other academic years

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Language

Lectures are in french.

Course material

• Python (first and second part, installation notes);
• MapReduce.

Syllabus

The course explains the topics listed in the lecture calendar.

Lectures calendar

Date	Topic	Material
24/10/2019	Types and data structures in python	notebook (data)
05/11/2019	Conditional structures, iterations, and exceptions in python	notebook (cycles) notebook (exceptions)
12/11/2019	Modules and packages: numpy, matplotlib and pandas (series)	notebook (numpy and matplotlib) notebook (series)
21/11/2019	Pandas (dataframe)	notebook (dataframe)
28/11/2019	Data analysis with pandas	notebook (data analysis)
02/12/2019	Exercises, MapReduce and temporal data	notebook (Exercises) notebook (MapReduce) notebook (Temporal data)
16/12/2019	Written test (classroom 407 QLIO)

Exam modalities

The exam consists in a written test.