## Descripción

The name of this course is **Python for beginners**. The knowledge you will get with this indescribable online course is astonishing. Learn the basics behind Python.

Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Francisco Juretig, one of the very best experts in this field.

## Description of this course: Python for beginners

Course Description This course is intended for students aiming to learn Python, with no previous programming experience. After this course, the student will have a general overview of the Python programming language. In order to master Python, the student will need more practice, and more specific training in some areas. Nevertheless, with this course, the student will be familiar with most elements in the Python environment. We start by explaining how to install and set up the Python environment, and then how to define variables, loops, numbers, and functions. We then review the basics behind Numpy, which is a critical package for mathematics in Python. We then explain the fundamental elements of the Python standard library such as pulling data from the web, storing persistent data, working with decimal numbers, and creating visual applications. Because analysing raw numbers is sometimes a complicated task, we also show how to leverage the powerful Matplotlib package for creating plots. We then review one of the most important elements of Python: Classes. We start with a very simple class, and we then build more complicated ones explaining different aspects. People working with Python, will most likely need to build applications processing data. And because Python is the most used statistical and machine learning programming language, we finally review the data science packages triad in Python: Pandas (data processing), Scikit-learn (machine-learning), and Statsmodels (statistics). The idea of this part is to introduce the basics behind these packages. At the end of the course, the student should be able to: Code his own Python programs Define and use classesUse data structuresWork with dates, strings, Numpy arrays, numbersWrite and read files in PythonLeverage the elements in the standard libraryUnderstand the basics behind Pandas, Scikit-learn and StatsmodelsLoad data via Pandas, pre-process it, and model it using Scikit-learn and Statsmodels You will find lots of exercises and quizzes!We try to keep this course as updated as possible, and the student is welcome to formulate questions, as we try to answer them promptly.

## Requirements of this course: Python for beginners

What are the requirements? Nothing in particular

## What will you learn in this course: Python for beginners?

What am I going to get from this course? Know the most important parts of the Python programming language Know how to use some of the most relevant modules Analyse, and plot data in Python Understand control flow, functions, and data objects in Python Understand classes and object oriented programming

## Target audience of this course: Python for beginners

Who is the target audience? Students with no prior programming experience aiming to get an introduction to Python Aspiring data analysts learning to use Python

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