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Nome:Coursera | Introduction to Scripting in Python Specialization
Descrizione:


Coursera - Network Automation Engineering Fundamentals Specialization


Launch Your Career in Python Programming. Master the core concepts of scripting in Python to enable you to solve practical problems.

Specialization details:

Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.  

Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks.  This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.

Applied Learning Project

Each course ends with a practical project utilizing Python scripting skills. The introductory projects will focus on typical core scripting problems such as processing dates and finding differences in similar files. Later in the specialization, you will learn to work with data stored in files to do sports analytics and data visualization.   These projects include reading historical data on baseball, computing statistics from this data, and analyzing the results.  Finally, the specialization culminates in a project where you will import economic data from the World Bank, process that data, and visualize this data overlaid on a world map.

Skills you'll gain
- Codeskulptor
- Data Analysis
- Python Programming
- Data Visualization

General Details:
Author(s): Joe Warren, Scott Rixner
Released: 10/2024
Language: English + SRT

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch | 411 Files, 89 Folders


YouTube Video:
Categoria:Tutorials
Lingua:English  English
Dimensione totale:2.31 GB
Info Hash:E4B79E8BE5E39AAEA9F5FCFDD375270E6EB0FD37
Aggiunto di:Prom3th3uS Super AdministratorMovie PirateVIP
Data di aggiunta:2024-10-26 05:00:38
Stato torrent:Torrent Verified by Prom3th3uS Super AdministratorMovie PirateVIP on 27th October, 2024


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