Master Python programming by solving scientific projects, name of the course comprehensive training program to the popular language Python, and specifically with the use of the science project is . Nowadays hundreds of course Python language is throughout the internet to find it, each of which try to teach this language to show. but the special feature of the course of a … a special focus on solution and complete the project and, specifically, the science project is . At the same time, this tutorial does not require any prior fluency or familiarity with programming or Python language . Lecturer in the course have the content somehow teach that to solve the issues and challenges and getting the answers right is being merely to teach the commands and functions engage .
During this training, with scientific projects and academic different face and step by step complete they will be familiar; of project statistical data to Category data, text processing, and issues related to time series . The topics of this course have a high Variety that makes you familiar with a variety of capabilities and commands Python . Brain flow simulation, space-mode path diagrams and biomedical signal processing are other topics of this period . Also, unlike a lot of other tutorials, from the weird or annoying language Python pass them. this is the training you have with them and how to properly implement the correct commands familiar works .
What things to learn
Python
Scientific programming
Modeling
Spectral analysis and time series
Text processing
Filtering, categorization and data visualization
And …
This training suits people who
Completely beginner people in Python
People who have knowledge of other languages such as R or Matlab ( of course, language proficiency is no longer required by this tutorial )
People who tend to use Python for Data Science Engineering Physics and biology
Profile Master Python programming by solving scientific projects
Publisher: Udemy
Lecturer: Mike X Cohen
Language: English
Training level : Beginner
Number of lessons: 157 lessons in 28 sections
Duration: 32h 52m
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