Python & Introduction to Data Science (Udemy.com)

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

Created by: AI 4 MY

Produced in 2018

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Overall Score : 86 / 100

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Course 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 Who this course is for:
  • Researchers in the field of data analysis, machine learning and data mining, who want to consolidate the basics
  • Beginners who want to start learning the Python programming language
  • Programmers who already have experience with other languages and want to learn the Python language
  • Any student wishing to pursue a career in the field of Data Science
  • Anyone who wants to approach this new field for work or personal growth

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Instructor Details

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Reviews

4.3

123 total reviews

5 star 4 star 3 star 2 star 1 star
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By Anakin

浅显易懂 讲的清楚

By Nitin Sharma

Its a very nice course to learn .

By Ilekura Idowu Oselumhe

great

By Adeniyi oluwamayowa

As far as I can say. It's wonderful and easy to follow

By Aryama Sinha

videos kept pausing in between

By Meziane Kettou

Sehr geeignet für Einsteiger.

By Emerson Palacios

Los subtítulos son un tanto dispares a lo que realmente dice

By Irene Barsony

Ja, alles sehr gut erklärt

By Shishir Lamichhane

its good..

By Sujata

good

By Vinicius Ribeiro Lessa

Por enquanto está atendendo minhas expectativas. O único problema é que a legendas dos vídeos exibe palavras erradas com muita frequência.

So far it's fulfilling my expectations. The only problem is the subtitles which show wrong words very often.

By Mayank Dedhia

Development environment could have been just plain python sans Jupyter notebook