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Python & Introduction to Data Science

Learn the basics of Python and the most important Data Science libraries with this step by step guide!
Course from Udemy
 45595 students enrolled
 en
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

Python & Introduction to Data Science
$ 94.99
per course
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