AvaKaza Geo-Science Research Technologies
BAsic to Advance
ArcGIS & arcpy with python
Duration - 90 Days
Online Training(Live Session) &
Certificate Course in ArcGIS & ArcPy with Python
Learn the Basic and Advance of ArcGIS Software and then Learn Python(Core and Advance) and ArcPYLear
This course introduces and teaches programming and the concepts of object-oriented programming using the Python programming language.
ArcPy and its library will be imported to access ArcGIS’s Geoprocessing tools to write structured programs.
ArcPy includes a series of modules such as data access, mapping, spatial analysis, and network analysis.
The student will develop Geoprocessing programs during the course with ArcPy
It is an integral part of ArcGIS.
Easy to read syntax
Large user community
Useful for scripts to control other programs
WHAT IS ARCPY?
ArcPy is a specific set of Python code that can be used with ArcGIS. It can help you to automate tasks, such as running a tool on many files at a time or running a certain tool on a regular schedule without user interaction.
Course Objective and Outcome
On completion the successful student will:
Be proficient in using Python.
Be able to write a script.
Be able to write scripts using ArcPy.
Customize and develop the tools,
Who Can apply
Any Graduate or Diploma Holder got Basic Understanding of Programming, GIS, and Remote Sensing.
Course - Duration / Training Methodolgy
Total Duration:- 90Days
Mode of Training -
Bangalore - Classroom + Practicals.
Online - Live Online Classes. Daily 2 Hrs(Need to have a laptop or Computer with Good Internet)
Dedicated Trainer, Practical sessions. One-on-One Live Training Session.
GIS Project Planning & Execution.
Hands-on Practical Training.
Course Module and Content
Introduction to GIS
What is GIS?
What can you do with GIS?
What is Remote Sensing?
Think of ways to apply GIS
What are the Resolutions?
Types of Resolutions
Digital Image Processing
Introduction to GPS
What is Spatial Data Model (Vector and Raster)
Overview of GIS Architecture
Datum and Projection
Data Types, Heads-up Digitization
Introduction to Spatial datasets
Vector and Raster Data
Non-Spatial Data (CSV)
Creating Vector Files and Data Collection
Attribute Table Creation/Editing, Join Table
Attribute table (Join Table & Spatial Query (By Location and Attribute)
Symbology & Labelling
Introduction to Symbolization.
Single Symbol, Unique Value
Graduated Colors, Proportional Symbol
Dot Density, Chart
Making a map with labels
Displaying dynamic labels
Controlling which features are labeled
Controlling where labels are placed
Converting labels to annotation
Cartographic Principles and Design
History of Maps.
Introduction to Database Management (Practical)
Creating, Managing Geo-Database.
Domain and Subtype.
Schema & Topology.
Projections and Transformations.
Spatial Data Input and Editing
Topology & Error Checking
Basic Spatial Adjustment
Transformation (Affine, Projective, and Similarity)
Introduction to Vector & Raster GeoProcessing
Clip, Buffer, Union, Merge Dissolve – Vector.
Clip, Composite Band, Mosaic, Split Raster
Introduction to Toolbox (ArcGIS)
Analysis Tool (Practical)
Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Network Analysis (Practical)
Finding the Shortest route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation
Introduction to Remote Sensing
Basic Remote Sensing and Jargon.
Overview of existing satellites (e.g. Landsat and Sentinel).
Future and development of remote sensing.
Hyperspectral Data Analysis (Overview).
Normalized Difference Vegetation Index (NDVI)
Image Classification (Practical)
Data exploration and pre-processing.
Collecting training samples.
Evaluating training samples.
Creating the signature file
Clustering (unsupervised classification).
Examining the signature file
Editing the signature file.
Performing spatial analysis (Practical)
The geographic approach - revisited.
Questions you can answer with GIS
What is spatial analysis?
Common analysis tasks
Analyze crime data
Spatial Statistics (Practical)
Hot Spot Analysis
Model Builder (Practical)
Building Models for GIS Analysis using ArcGIS.
Create a new geoprocessing model.
Validating the model.
Set model parameters
Prepare the model for sharing
3D Visualization Techniques using ArcScene (Practical)
Data used for 3D visualization.
Triangulated irregular networks (TINs).
3D navigation basics.
Identify data types.
Hot Spot Analysis
Introduction to Python for ArcGIS.
Overview of Python
Python as a Programming Languages.
Setting up Path
Working with Python
Variable and Data Types
Function and Methods
Working with lists
Function and Methods
Functions and Methods
Accessing values in dictionaries
Working with dictionaries
Defining a function
Calling a function
Types of functions
Global and local variables
Printing on screen
Reading data from a keyboard
Opening and closing file
Reading and writing files
Try? finally, clause
Class and object
Matching VS Searching
Starting a thread
Multithreaded Priority Queue
Python for ArcGIS(ArcPy)
Important Python Modules for GIS Analysis
Configuring the Python Environment
Creating the First Python Script
Complex ArcPy Scripts and Generalizing Functions
ArcPy Cursors – Search, Insert, and Update
Working with ArcPy Geometry Objects
Creating a Script Tool
Introduction to ArcPy.Mapping
More ArcPy.Mapping Techniques
Advanced Geometry Object Methods
Network Analyst and Spatial Analyst with ArcPy
Add-Ons and Placement Support
Closing and Discussions.
Live Project Work.
Placement Assistance(Training & Interviews and Refer to the Companies).
Registeration and Course Fees
Course Fee = Call to get the quote - 99800 83996
Duration : - 90 Days
Method - Training can be conducted Online or Can be conducted in Bangalore Campus.
How To Apply
Whatsapp/Call to +91 9980083996