Python & Introduction to Data Science

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

What you'll 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

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