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DevelopmentData ScienceSpatial Analysis

Spatial Analysis & Geospatial Data Science in Python

Learn how to process and visualize geospatial data and perform spatial analysis using Python.
Bestseller
Rating: 4.4 out of 54.4 (378 ratings)
51,134 students
Created by Shan Singh
Last updated 12/2021
English
English [Auto]

What you'll learn

  • The course introduces you to the most essential Geopython Libraries
  • Perform Spatial Data analysis with Python
  • Learn the essentials of Geopy,Plotly Library, the workhorse of Geospatial data science in Python.
  • Learn how to visualize Geospatial data in Python (static and interactive maps)
  • Learn how to pre-process geospatial data.
  • Perform Geocoding on Data

Requirements

  • No GIS knowledge is required. We will give breif theoretical explanation as well as its practical implementation

Description

Geospatial data science is a subset of data science that focuses on spatial data and its unique techniques. In this, we are going to perform spatial analysis and trying to find insights from spatial data. In this course, we lay the foundation for a career in Geospatial Data Science. You will get hands-on Geopy, Plotly etc.. the workhorse of Geospatial data science Python libraries.


The topics covered in this course widely touch on some of the most used spatial technique in Geospatial data science. We will be learning how to read spatial data , manipulate and process spatial data using Pandas , and perform  some spatial operations. A large portion of the course deals with spatial Visuals like Choropleth, Geographical Scatter plot, Geographical Heatmap, Markers, Geographical HeatMap. Each video contains a summary of the topic and a walkthrough with code examples that will help you learn more effectively.



Who this course is for:

  • Students who want to become Data Scientist by show-case these Projects on his/her Resume..

  • Students who like to take their first steps in the Geospatial data science career.

  • Python users who are interested in Spatial Data Science.

  • GIS users who are new to python and Jupyter notebooks for Geographic data analysis...

Who this course is for:

  • One who is curious about DataScience

Instructor

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist
Shan Singh
  • 4.4 Instructor Rating
  • 5,241 Reviews
  • 280,572 Students
  • 16 Courses

great courses for beginners/working Professionals

If anyone has questions about which course may work best for them, please feel free to contact or message me.

I will teach you the real-world skills necessary to stand out from the crowd. Whether it’s a Data Science , Data Analysis  ,Machine Learning  , Time Series or Natural Language Processing skills and more here.



Query resolution 24*7

One-on-one support from experts that truly want to help you

Query resolution (QnA) - Within 2-3 hours in day time

                                        Hardly it can be 8-10 hours..




learn by doing

Step-by-step tutorials and project-based learning.




more about Shan

Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce,  retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!

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