Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. Python (along with R) has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.
From government and universities to new start-ups and big tech like Google or Microsoft, the use of Python for big data and data science has become a standard tool. Python is a simple and very versatile language (numerical analysis, web development, data analysis, etc.). This module introduces programming in Python, focusing on data analysis and the most efficient libraries for data science including Pandas.
The course methodology is designed under the “learning by doing” maxima. The student will learn the language and applications through examples and practice.
No prior programming skills are required.