Learning Outcomes

Introduction to Data Science

Programming Languages

Data Science Methodology

Data Science via Chatbot

Libraries, API’s, Datasets and GitHub

Lesson Summary

This module will introduce you to data science and its applications. You will gain knowledge of data science concepts, methodology as well as programming languages. Learners will be shown how to extract useful data from large chunks of data and evaluate it. You will learn how to create customer response systems and collaborate online for projects.

Data Science Masterclass for Beginners - Course assessment

Discover if data science is the right path for you by learning about its methodology and more in this free course.

Data Science Masterclass for Beginners

Have you ever wondered how businesses use the vast amounts of data they collect and store? This course will introduce you to some of the skills and tools necessary to work with the most valuable resource of today: data. Various topics are covered, including programming languages, data science methodology and collaboration. Take the first steps in getting involved in the vital task of helping organizations make sense of their information.

Data Quality and Measures

Positional Accuracy and Source of Errors

Classification Accuracy and Pixel Errors

Spatial Data Editing and Transformations

Map Display and Visualization in GIS

This module explores data quality, the different data measures, data assessment techniques, and errors that they may have. You will learn about the aspects considered for data accuracy, the factors affecting spatial data quality, and the sources of error in spatial data. You will also learn about map display and visualization in GIS.

Introduction to GPS

GPS: Working and Signals

GPS Errors and DGPS

GNSS and Applications

Introduction to QGIS

This module explores the global positioning system. You will learn about the history of the global positioning system, the working principles, GPS satellite signals, and errors in GPS. You will also learn about the global navigation satellite system and an introduction to QGIS.

GIS Data Quality and Geographic Positioning System - Course Assessment

Learn about data quality in geographic information system and global positioning system in this free online course.

GIS Data Quality and Geographic Positioning System

This free online course will help you to gain an understanding of data quality in geographic information systems. You will be introduced to data assessment techniques, and the errors they may have. This will bring you up to speed with the aspects considered for data accuracy, the factors affecting spatial data quality, and the sources of error in spatial data. You will then learn about the map display and the global navigation satellite systems.

Geographic Information System

Geographic Information Science

Origin and Idea of GIS

Spatial Data Acquisition

Thematic Mapping and Data Investigation

This module discusses aspects of geographic information, geographic information technologies, remote sensing, and spatial analysis. You will learn about geographic information science, spatial data, attribute data, the disciplines contributing to GIS, and the applications of GIS. You will also learn about the origins of GIS, GIS capabilities, spatial data acquisition; data investigation, and software integration.

Real World to Digital World Through GIS

GIS Data Models

Quality of data

GIS Data Collection

Methods of Generating Data for GIS

In this module, you will learn about representing the real-world on a digital scale. You will be introduced to how to convert real-world data into a digital real-world model, and the principles of the real-world model. You will also learn about entities in the real-world model, attributes, and relationships.

Types of Data

Vector Data Model

Raster Data Model

Surface Representation

Triangulated Irregular Network

This module discusses what data is, the kind of data that can be handled by GIS, the different data models, and examples of data models. You will learn about the vector data model, the two types of vector data models which are
the spaghetti data model and the topological data model. You will also learn about representing the real world in the surface model.

Querying and Georeferencing

Elevation, Relative and Discrete Referencing

Coordinate Systems

Maps and Numbering

Map Projections

This module discusses how to do georeferencing, the kinds of different systems there are, and different projections. You will learn about geoid, what kind of geoid is there, and how we look at the geoid as a reference point. You will then learn about datums, how we look at datums, and certain coordinate
systems.

Advanced Diploma in Geographic Information Systems- First Assessment

You need to score 80% or more to pass this assessment.

Introduction to Database

Components of a Database Management System

Database Keys and Normalization

DBMS Models

Normalization Forms

This module discusses the meaning of a database and database management system. You will learn about how to store data, how to retrieve data, And most importantly, the different ways of storing data in the different databases that are available. You will also learn about the languages that are being used in order to manage this database or query data from the database.

Creating and Maintaining a database

Spatial Query using SQL - Introduction

Database Design and Spatial Analysis

Classification Systems

Basic Editing of Data

This module discusses how to create, maintain, edit, and how well you can use a database. You will learn about the different types of databases, how the
querying can be done, and how to address certain issues when creating a database. You will also learn about the structured query language, spatial analysis, and basic editing.

Introduction to Remote Sensing

Basic Spatial Analysis

Report Generation: Overlay and Buffers

Points in Polygon Analysis

Advanced Spatial Analysis

This module explores remote sensing in GIS, spatial analysis, the basic spatial
analysis with examples, and also advanced spatial analysis with some examples. You will learn about the limitations of having a geographical information system in place, and a formal problem in establishing GIS.

Introduction to QGIS and Data Importing

QGIS Plugins

Georeferencing an Image

Creating Vector Features

Vector Functions and Querying

This module discusses the interface of QGIS, importing vector data, tabular data, and raster data into the QGIS interface. You will learn about the properties, identification of features; the attribute table followed by metadata inspection and properties viewing.

Data Acquisition and Raster Functions

How to Analyse Various Raster Functions

Map Composition

Bhuvan Geoportal and Google Earth

Introduction to R Software

R and its Functions

This module explores where to get the raster data from. You will learn how to download raster data, how to perform terrain analysis; such as slope, aspect, hill shade, and contour. You will also learn how a raster calculator works and QGIS, which has an inbuilt raster calculator function.

Open Source GIS Software

Open Source Software Image Map

Pros and Cons of Open Source

GIS Data Standards

Open Geospatial Consortium (OGC)

National Spatial Data Infrastructure (NSDI)

Introduction to Web GIS and GeoServer

Geoserver: Raster and SLD Integration

This module explores how well open-source software is designed and how it actually compares with proprietary software. You will understand how an open-source standard is being built and how India is actually becoming a greater game. You will gain more understanding of the open-source software and how you can use it.

Diploma in Advanced Geographic Information Systems - Second Assessment

Advanced Diploma in Geographic Information Systems - Course Assessment

Learn about geographic information systems, and how to represent data in the real world in this free online course.

Advanced Diploma in Geographic Information Systems

This free online course will help you understand the concept of geographic information systems. You will learn about how to represent data in the real world, and how we can use GIS to achieve this. You will be informed on how data flows, the different databases, models, and the various opportunities available in the GIS field. You will also learn the various analyses that can be done on data collected and the software used in mastering GIS tools.