Python & Introduction to Data Science

Python & Introduction to Data Science
Learn the basics of Python and the most important Data Science libraries with this step by step guide!
Python

What Will I Learn?
Basic Notebook commands
Variables and conversions in Python
Variables, lists, dictionaries, sets, classes in Python
Definition of a function
Date management
Reading and writing files
Mathematical functions in Numpy
Functions to create random data
Indexing methods
Pivot tables in Pandas
Display options
RAM memory optimization for large amounts of data

Requirements
No programming experience is required for the course
A computer with internet connection
Compatible with all languages, the course is in English

Description
Python is the most important language in the field of data, and its libraries for analysis and modeling are the most relevant tools to use.

In this course we will start building the basics of Python and then going to deepen the fundamental libraries like Numpy, Pandas, and Matplotlib.


The four main features of this course are:

1. Clear and simplified language, suitable for everyone

2. Practical and efficient

3. Examples, illustrations and demonstrations with relative explanations

4. Continuous updating of contents and exercises

Who is the target audience?
Researchers in the field of data analysis, machine learning and data mining, who want to consolidate the basics
Beginners who want to start learning the Python programming language
Programmers who already have experience with other languages and want to learn the Python language
Any student wishing to pursue a career in the field of Data Science
Anyone who wants to approach this new field for work or personal growth


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