Spatial Analysis & Geospatial Data Science in Python
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
This is the first course that gives hands-on Spatial Data Science / Spatial Analysis Projects using Python..
Student Testimonials:
Excellent course. The narration and presentation of the course are beautiful and simple. The contents contain very clear and interesting explanations. I love this course. Spatial Data Science course in python is entertaining, it contains very clear explanations, every minute you learn something new, it is really exciting. Thank you very much for this wonderful course - Leonardo Guevara
Great course about Spatial analysis using Python! Simple to understand and packed with practical knowledge and real-world examples. Thanks Shan Singh for creating this course! - Gabriel Borja
I was longing to get a kick start on geospatial analysis. This has given me a very clear explanation which I will put into practise - Geoffrey Mogonchi
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 , Folium 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 how to perform 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 in layman terms 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
- 4.4 Instructor Rating
- 8,774 Reviews
- 314,381 Students
- 22 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 real-world 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!