Get updates on Eligibility, Admission, Placements Fees Structure
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 2480 | yes | Coursera |
Spatial Data Science and Applications Fees Structure :
Head | Amount |
Purchase Course | Rs. 2,480 |
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
- 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
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
- Introduction to the Course
- Introduction to Spatial Data Science
- Why is Spatial Special? (III) - A Data Perspective
- Why is Spatial Special? (II) - A Technical Perspective
- Why is Spatial Special? (III) - A Data Perspective
Assignment
- Understanding Spatial Data Science
Discussion Prompts
- Your problem related to spatial data science
- Your opinion on why spatial is special
Videos
- Four Disciplines for Spatial Data Science and Applications
- Open Source Software
- Spatial Data Science Problems
- Spatial Data vs. Spatial Big Data
Readings
- QGIS vs. ArcGIS
- What is spatial Big Data?
Assignment
- Solution Structures of Spatial Data Science Problems
Videos
- Five Layers of GIS•8 minutes
- Spatial Reference Framework
- Spatial Data Models
- Spatial Data Acquisition
- Spatial Data Analysis
- Geo-visualization and Information Delivery
Readings
- Sources of Spatial Data
- Making Sense of Maps
Assignment
- Geographic Information System (GIS)
Discussion Prompt
- Coordinate systems of your country
Videos
- Database Management System (DBMS)
- Spatial Database Management System (SDBMS)
- Big Data System – MapReduce
- Big Data System – Hadoop
- Hadoop Ecosystem
- Spatial Big Data Systems
Readings
- DBMS vs. MapReduce
Assignment
- Spatial DBMS and Big Data Systems
Video
- Spatial Data Analytics
- Proximity and Accessibility
- Spatial Autocorrelation
- Spatial Interpolation
- Spatial Categorization
- Hotspot Analysis
- Network Analysis
Readings
- Starbucks GIS
- Happy Maps
Assignment
- Spatial Data Analytics
Video
- Desktop GIS - Finding Optimal Counties for Timber Investment
- Server GIS - An Integration of Municipal Spatial Databases
- Spatial Data Analytics I - Influential Variables of Regional Disease Prevalence Rate
- Spatial Data Analytics II - Military Infiltration Route Analysis
- Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots
Reading
- Infiltration route analysis using Thermal Observation Devices
Assignment
- Practical Application of Spatial Data Science
Discussion Prompt
- Your critique on the approach in the lecture