Brief Introduction
Learn the basics of Python and the most important Data Science libraries with this step by step guide!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
Requirements
- Requirements
- No programming experience is required for the course
- A computer with internet connection
- Compatible with all languages, the course is in English
- The course is on Windows 10 but is also available with other operative systems
Knowledge
- 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
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