AvaKaza Geo-Science Research Technologies

Job Guaranteed - Certificate Course
GIS Developer Course - ArcGIS & ArcPY with Python

Certificate Course GIS Developer Course - ArcGIS & ArcPY with Python

Basic to Advance Course in GIS with Remote Sensing Trained Using ArcGIS, then Python With ArcPY. (90 Days / 180 Hrs)(Monday to Friday)
Learn About Topics like Map Creation, Map Editing, Terminologies, Georeferencing, Geoprocessing, Network Analysis, Spatial Analysis, Model Builder, 3D Visualization, Image Classification,
Learn Above Topics Using ArcGIS, Python with ArcPY
Placement support guaranteed, We will refer you to various organization and help you with Preparation for the Interview.
Short Term Non-Stipend Internship is also included in this program.
Online & Offline - Both Mode Available.
Offline Classes at Bangalore and Thiruvananthapuram.

Learn the Basic and Advance of ArcGIS Software and then Learn Python(Core and Advance) and ArcPY
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

Why Python?

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.

Batch Details -
May Month - Offline and Online - Bangalore & Thiruvananthapuram

Batch Start Date - May 20th.

Join in Group of 5 Members, and get huge discount from the normal fees.
Fill the enquiry Form for Registration and Fees Details -

Course Topics

Basic GIS Topics

Introduction to GIS
Datum and Projection
Data Types, Heads-up Digitization
Symbology & Labelling
Spatial Data Input and Editing
Cartographic Principles and Design
Introduction to Database Management
Spatial Adjustment
Introduction to Vector & Raster GeoProcessing

Python for ArcGIS

Basic Python & Core Python
Introduction to Python
Conditional Statements, Looping,
Control Statements
String Manipulation, Lists
Tuple, Dictionaries, Functions, Modules,
Input-Output
Exception Handling
Advance Python - OOPs concept
Regular expressions
Multithreading

Advance GIS Topics

Introduction to Toolbox (ArcGIS)Analysis Tool
Network Analysis
Introduction to Remote Sensing (Theory and Practicals)
Image Classification
Performing Spatial Analysis
Spatial Statistics
Model Builder
3D Visualization Techniques using ArcScene

Python for ArcGIS

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

Course Content - ArcGIS - Basic and Advance with Remote Sensing

Basic GIS Topics

1. 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
2. Datum and Projection

Datum, Coordinate System
Map Projection, Map Scales

3. Data Types, Heads-up Digitization
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)

4. Symbology & Labelling
Introduction to Symbolization. Single Symbol, Unique Value
Graduated Colours, Proportional Symbol
Dot Density, Chart, Heat Map
Making a map with labels
Displaying dynamic labels
Reference scale, Controlling which features are labeled
Controlling where labels are placed
Converting labels to annotation

5. Spatial Data Input and Editing
Introduction to Spatial datasets. Topology & Error Checking
Basic Spatial Adjustment

6. Cartographic Principles and Design
Introduction. History of Maps.
Map Layout. Symbology. Data Presentation

7. Introduction to Database Management (Practical)
Creating, Managing Geo-Database.
Domain and Subtype.
Schema & Topology.
Projections and Transformations.
Feature Conversions.
Raster Dataset

8. Spatial Adjustment
Rubber sheet.
Transformation (Affine, Projective, and Similarity)
Edge Snap

9. Introduction to Vector & Raster GeoProcessing
Clip, Buffer, Union, Merge Dissolve – Vector.
Clip, Composit Band, Mosaic, Split Raster

Advance GIS Topics
11. Introduction to Toolbox (ArcGIS)
Analysis Tool (Practical)
Extract.
Overlay.
Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Statistics Analysis

12. Network Analysis (Practical)
Finding the Shortest route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation

13. Introduction to Remote Sensing (Theory and Practicals)
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)

14. Image Classification (Practical)
Data exploration and pre-processing.
Collecting training samples.
Evaluating training samples.
Editing classes.
Creating the signature file
Clustering (unsupervised classification).
Examining the signature file
Editing the signature file.
Applying classification.
Post-classification processing

15. Performing Spatial Analysis (Practical)
Lesson introduction.
The geographic approach - revisited.
Questions you can answer with GIS
What is spatial analysis?
Common analysis tasks, Analyze crime data
Watershed Analysis

16. Spatial Statistics (Practical)
Hot Spot Analysis
Geostatistical Analysis

17. 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

18. 3D Visualization Techniques using ArcScene (Practical)
Data used for 3D visualization. Z-values.
Raster data. Triangulated irregular networks (TINs).
Terrain datasets Multipatch features.
3D features. 3D navigation basics.
Identify data types. Hot Spot Analysis

Course Content - Python(Basic to Advance) & ArcPY

Introduction to Python for ArcGIS.

Overview of Python

Python as a Programming Languages.

Basic Python

Core Python

Introduction

History

Features

Setting up Path, Working with Python

Basic Syntax, Variable and Data Types

Operator

Conditional Statements

If, If- else, Nested if-else

Looping

For, While, Nested loops

Control Statements

Break, Continue, Pass

String Manipulation

Accessing Strings, Basic Operations
String slices, Function and Methods

Lists

Introduction
Accessing list, Operations
Working with lists, Function and Methods

Tuple

Introduction
Accessing tuples, Operations
Working, Functions and Methods

Dictionaries

Introduction
Accessing values in dictionaries
Working with dictionaries
Properties, Functions

Functions

Defining a function
Calling a function, Types of functions
Function Arguments, Anonymous functions
Global and local variables

Modules

Importing module, Math module
Random module, Packages
Composition

Input-Output

Printing on screen
Reading data from a keyboard
Opening and closing file
Reading and writing files
Functions

Exception Handling

Exception, Exception Handling
Except clause, Try? finally, clause

User-Defined Exceptions

Advance Python

OOPs concept, Class and object
Attributes, Inheritance
Overloading, Overriding, Data hiding

Regular expressions

Match function, Search function
Matching VS Searching
Modifiers, Patterns

Multithreading

Thread, Starting a thread
Threading module
Synchronizing threads
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

Mode of Training

Total Duration - 90 Days / 180 Hrs, Monday to Friday.
Online Training Sessions (Daily 2 hours ) (Timing - 7am to 9am / 11am to 1pm / 3pm to 5pm / 7pm to 9pm)
Offline - Bangalore and Thiruvananthapuram.(10am to 12pm / 1pm to 3pm / 3pm to 5pm) Python & ArcPY Training will only be online
Dedicated Trainer, Practical sessions.
If Classes are missed, then Class recordings will be shared for Online Sessions.
Daily 2 Hrs (Need to have a laptop or Computer with Good Internet)
Live Training with dedicated Trainer

Who Can Attend the Training

Graduates, Post Graduates.
PhD Scholars.
Faculties.
Students who want to Get back to Work – GIS Domain.
GIS Experienced.
Corporate Employees & Companies

What you Get from this Training

Live Training with Experienced Trainers.
Trainers have 4 Yrs to 16 Yrs Experience.
Placement Assistance Training.
Guidance to Get Job
Labs for Practice, Assignments & Final Assessment for Certification
Internship and Live Project Assistance

For Fees & Registration, Contact us at :

For Registration Process & Fees details
Call Or Whatsapp - Mobile Number : +91 9980083996 / +91 97423 49602
Fees can be paid using Bank Transfers, or Credit Card
Group students Discounts available. Join with Your Friends.
Best Discounts available if College invites us to conduct Seminars and Program at college or Online.
Corporate Training Program will have discount from the original Fees

Batch & Fees & Discounts Details - For Indian Students only