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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!

4.45 / 5.0
45679 students9 hours 9 minutes

Created by AI 4 MY, offered on Udemy

bestcourses score™

Student feedback

8/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 45679 students which left 1074 reviews at an average rating of 4.45. Impressive!

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 9 hours 9 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

7.2/10

This course currently has a bestcourses score of 7.2/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!

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

What you will 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
  • The course is on Windows 10 but is also available with other operative systems
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Frequently asked questions

  • Price: $94.99
  • Platform: Udemy
  • Language: English
  • 9 hours 9 minutes
Python & Introduction to Data Science thumbnail

bestcourses score: 7.2/10

This course is better than many others in its category.