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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Spatial Data Science and Applications certification course is a specialized course for the learners seeking for understanding Data Science and its applications. Programming and analysis are needed everywhere. Every big company today needs employees with skills to operate analysis related to data structure and the study of the whole data format.

Such need and study have brought a new requirement in today’s operating market which helps in gaining necessary information about various aspects of data structure. Topics like DBMS, SDBMS, HDFS and others are explained thoroughly under this course. With flexible deadlines, this Spatial Data Science and Applications online course is a one-stop destination for the learners seeking proper knowledge under this course.

The duration of Spatial Data Science and Application training course is 6 weeks and is available for the learners with a genuine interest in the subject.

The Highlights

Offered by YONSEI University
Online offering
Approx. 11 hours course duration
Subtitles in English and Spanish
Intermediate level

Programme Offerings

Certificate of completion
Online self-paced classes
Flexible Deadlines
Different language subtitles available

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 2381	yes	Coursera

Spatial Data Science and Applications Course fee is Rs. 2,381.

Any learner who requires this course can take up the course without paying any fee amount but they will not receive any certificate of completion.

Head	Amount
Purchase Course	Rs. 2,381

Eligibility Criteria

Certifying Qualification Details

The course completion certificate for the Spatial Data Science and Applications course is awarded if learners complete their entire syllabus and the practical work assigned during the course. They also need to pay for the certificate.

What you will learn

Knowledge of Big Data

Learners will have the core concept of spatial data science along with its applications.
Learners will have knowledge of unique aspects of spatial data science from different perspectives of data, business and technology.
Learners will understand the use of DBMS and Big Data Systems to regulate spatial big data.
Learners will have a basic understanding of the classification of different algorithms such as Minimum Distance to Mean, Decision Tree, Means and DBSCAN.
Understand the value of spatial big data and power of the solution structure that combines the four disciplines.

Who it is for

Data Scientist

Admission Details

Participants must follow the below-given process for seeking admission.

Step 1: Simply visit the website of the programme https://www.coursera.org/learn/spatial-data-science

Step 2: Land on the webpage and click on Enroll for Free. Thereafter sign up and get access to a dashboard.

Step 3: Select the mode i.e. Audit mode or Purchase.

Step 4: If you are willing to purchase then make the payment as per the mode preferred.

The Syllabus

Videos

Open Source Software
Four Disciplines for Spatial Data Science and Applications
Spatial Data vs. Spatial Big Data
Spatial Data Science Problems

Readings

What is spatial Big Data?
QGIS vs. ArcGIS

Practice exercise

Solution Structures of Spatial Data Science Problems

Videos

Introduction to the Course
Why is Spatial Special? (III) - A Data Perspective
Why is Spatial Special? (I) - A Business Perspective
Introduction to Spatial Data Science
Why is Spatial Special? (II) - A Technical Perspective

Practice exercise

Understanding Spatial Data Science

Videos

Five Layers of GIS
Geo-visualization and Information Delivery
Spatial Data Models
Spatial Data Analysis
Spatial Reference Framework
Spatial Data Acquisition

Readings

Making Sense of Maps
Sources of Spatial Data

Practice exercise

Geographic Information System (GIS)

Videos

Spatial Interpolation
Network Analysis
Spatial Data Analytics
Spatial Categorization
Hotspot Analysis
Spatial Autocorrelation
Proximity and Accessibility

Readings

Happy Maps
Starbucks GIS

Practice exercise

Spatial Data Analytics

Videos

Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots
Server GIS - An Integration of Municipal Spatial Databases
Spatial Data Analytics II - Military Infiltration Route Analysis
Spatial Data Analytics I - Influential Variables of Regional Disease Prevalence Rate
Desktop GIS - Finding Optimal Counties for Timber Investment

Readings

Infiltration route analysis using Thermal Observation Devices

Practice exercise

Practical Application of Spatial Data Science

Videos

Spatial Database Management System
Spatial Big Data Systems
Database Management System
Hadoop Ecosystem
Big Data System – Hadoop
Big Data System – MapReduce

Reading

DBMS vs. MapReduce

Practice exercise

Spatial DBMS and Big Data Systems

Instructors

Yonsei University, Seoul Frequently Asked Questions (FAQ's)

1: Can I access this Spatial Data Science and Applications training programme in Spanish Language?

The subtitles are available in different languages including English and Spanish. Learners can access any of these language subtitles according to their convenience.

2: How much time would I need to complete this Spatial Data Science and Applications online course?

Learners can complete this course in under 11 hours. It's very easy and accessible.

3: What are the skills to be taught under this course?

Learners will learn many skills under this course such as Spatial Analytics, Qgis, Big Data and Geographic Information System (GIS).

4: Are demo classes available with this course?

Learners can opt for 7 days of the free trial before they are assured about taking the course.

5: Is financial assistance available for this Spatial Data Science and Applications class course?

Learners who can’t afford the fee amount of the course can apply for financial aid by filling the application form available. Learners who are shortlisted for financial aid will be notified through email.