Geospatial Analysis using Python | Planning Insights | Krishna Lodha

Krishna G Lodha is a self learnt open source GIS developer. He will be delivering a live interactive course through Planning Insights Learning Centre from Basic to Advanced Geospatial Analysis using Python.

Broad topics to be covered are:
1. Introduction to Python
2. Introduction to GIS and Geospatial Analysis
3. Advance Python
4. Vector Data Analysis
5. Raster Data Analysis
6. Working with Spatial Database

Benefits of taking up this course:
• Digital Certificate
• Mentor lecture from industry professionals
• Anytime support through discussion forum
• Working on projects in every course module
• Joining in a group of GIS experts and industry network.


Q. Can a non-technical person enrol?
A. Ofcourse! The Content is specifically designed to walk you thought the very basics of HTML, CSS, Javascript, etc. Once you are comfartable with it, then we dive in the ocean of GIS.
Q. Can I use these Softwares and Libraries in commercial projects?
A. Yes! a big YESS!!, you can use these software for any education, commercial purpose.
Q. Is there any market for Open Source Technologies?
A. With the rise in the costing of giant market players such as Google Maps, ESRI, Many companies are looking for options which can save them some bucks. I personally have worked with fortune 500 companies who are completely relying on Opensource tech now-a-days

The various course modules in detail are:
1. Introduction to Python
Hello world in python
– Various ways to write python code
Packages and environment
– Understand logic behind python packages and Python environment
Variables & Data types in python
– Defining variables and assigning various types of values to it
Lists, Tuples, Dictionary, Set
– Creating sequential and mapping variables and exploring methods associated with it
Operators in Python
– Using Arithmetic, assignable, comparison, logical operators
If-else in Python
– Building conditional logic and exploring multiple conditions scenario
Loops in Python ( While, For, Nested)
– Exploring loop structures and building loops on sequential variables
Functions in python
-Building various methods along with arguments
Classes and Object in Python
-Understanding OOP concept and create our own classes and objects
Decorators in Python
– Using decorators we can make changes in existing functions without changing it’s logic
Modules in Python
– Import/Export of modules to make multiple file python code
Error Handling in Python
– Using Try … Except to handle various types of errors
Project 1 – Building Own Calculator
– Creating Calculator which can perform basic arithmetic calculations
Project 2 – Automation in Python
– Building script which will import a file , perform certain action and export it again
Introduction to Python framework (Django, Flask)
– Overview of frameworks and why to use them

2. Introduction to GIS and geospatial analysis
Introduction to GIS
– Understanding some theory about GIS, history and applications
Data Formats in GIS
– Various ways to store data in GIS (Vector, Raster)
Vector GIS Analysis Concepts
– Vector data manipulation, analysis using buffer, intersection, difference, etc.
Raster GIS Analysis Concepts
– Raster data manipulation, data conversion, etc.
Introduction to Spatial Databases
– Using RDBMS to store the geometry data and accessing it back using spatial queries

3. Advance Python
Python Package – Numpy
– Understanding Numpy array and it’s methods
Python package – Pandas
– Using Pandas to change structured data
Python Package – Matplotlib
– Using Matplotlib to create charts , plots and graphs

4. Vector Data Analysis
Installations of Geospatial libraries
– Installation of GIS python packages (Geopands, Folium, etc.)
Initiate Vector data
-Accessing vector data (shapefiles, GeoJSON,etc.) in python
Correcting Vector Data
– Modifying data, adding new features using python
Spatial Querying data
– Perform spatial filters on data (Point in Polygon, etc.)
Geospatial Analysis on Vector data
– Performing analysis (Buffer, intersection, etc.)
Visualisation of Vector data
– Creating Map with custom styling, filters etc.
Create Interactive map within python
– Creating user interactive map in python notebooks
Project

5. Raster Data Analysis
Conversion of raster data formats
– Using GDAL to convert raster data to several formats
Modifying Raster Data
– Basic analysis on raster data
Querying Raster Data
– Filtering raster data based on values or bounds
Project

6.Working with Spatial Database
Using PostgreSQL-postGIS
– Accessing postgres db from python notebook
CRUD Operation on GIS data
– Create, Retrieve, Update, Delete data stored in db
Spatial Querying data
– Performing postGIS queries in python notebook
Creating Interactive map
– Adding database data to interactive map

Excited to learn more about Python and its applications. Don’t wait enrol for the course now!!! https://planninginsights.co.in/courses
Have questions reach us through mail or WhatsApp at +91 9022311897