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Introduction To Python
Published 7/2024
Duration: 3h25m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.84 GB
Genre: eLearning | Language: English
Python for Geospatial Data Science
What you'll learn
Gain a comprehensive introduction to Python programming, starting from the very basics and building a strong foundation.
Understand the core programming concepts and get an overview of essential analytical libraries in Python.
Acquire the crucial Python skills needed for data science, presented in a streamlined manner to avoid overwhelming unnecessary information.
Benefit from tailored examples in geospatial and urban analytics, providing a unique and practical learning experience.
Requirements
No programming experience is needed. You will learn everything you need to know.
Description
About
Are you eager to learn Python but overwhelmed by the endless hours of tutorials packed with excess information? After nearly a decade of hands-on experience in data science with Python, I've crafted my first introductory course to focus on what truly matters. This streamlined, no-nonsense course covers only the essentials useful on a daily basis, ensuring you gain practical, relevant knowledge without the fluff. It's a solid foundation to jump-start your career in Python-based analytics and build on in the long run.
This course covers seven core topics and includes hands-on exercises to test your skills. While the notebook topics are generic and aimed at giving you a good foundation for further deep dives, I have tailored the examples to the geospatial analytics field wherever possible. Don't worry if you're not into GIS-you'll still be able to follow along and learn a lot. However, if you are into GIS, these examples will be particularly relevant and familiar. Check out the outline below!
Benefits
Here are the main benefits of this course, making it an excellent choice for anyone planning to get on-board with Python:
Focused Content: Concentrates on essential Python skills without overwhelming you with unnecessary information.
Practical Application: Emphasizes practical, daily-use knowledge, making it highly relevant for real-world scenarios.
Geospatial Analytics Examples: Provides examples from the geospatial analytics field, enhancing learning for those interested in GIS.
Final Exercises: Includes a set of final exercises to test and reinforce your skills.
Expert Instruction: Taught by an experienced data scientist with nearly a decade of hands-on Python experience.
No Fluff: A streamlined, no-nonsense approach ensures efficient learning.
Foundation for Growth: Offers a solid foundation you can build on for more advanced Python and data science topics. Comes with cheat sheets for every section.
Accessible to All: Designed to be approachable even if you're not into GIS, ensuring broad applicability.
What you get
The pre-recorded course comes with multiple videos and Jupyter Notebooks:
9 Videos: Totaling about 200 minutes of content
9 Chapter-level Jupyter Notebooks: One for each chapter
Summary Notebook: A comprehensive notebook combining all chapters
Exercise Notebooks: Class-version, detailed solutions, and an empty version for you to practice the final exercises
Who this course is for:
Every GIS expert who wants to get on board with Python
Everyone interested in learning Python-based data analytics fast
Every junior data scientist interested in the language of spatial analytics
More Info
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