Big Data Analytics with GIS

Big Data Analytics with GIS, available at $44.99, has an average rating of 3.65, with 29 lectures, based on 85 reviews, and has 623 subscribers.

You will learn about At the end of this course you understand: the principles behind big data geo-analytics. the role of statistics, databases, and hardware and software in support of big data geo-analytics. how to use Open Source software and Manifold GIS to manage spatial data. how to conduct a big data geo-analytics project by interrogating real world databases. You'll work hands-on with various software products to manage big data: these include Postgres, QGIS, and Manifold Viewer. Yes, all free!! This course is ideal for individuals who are This course is for data professionals that want to learn how to manage large databases, especially those databases with a geographic component. or If you have worked with GIS or databases, this course will take you to the next level in your analysis skills as we’ll be slicing and dicing multi-gigabyte data stores. It is particularly useful for This course is for data professionals that want to learn how to manage large databases, especially those databases with a geographic component. or If you have worked with GIS or databases, this course will take you to the next level in your analysis skills as we’ll be slicing and dicing multi-gigabyte data stores.

Enroll now: Big Data Analytics with GIS

Summary

Title: Big Data Analytics with GIS

Price: $44.99

Average Rating: 3.65

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

At the end of this course you understand: the principles behind big data geo-analytics. the role of statistics, databases, and hardware and software in support of big data geo-analytics. how to use Open Source software and Manifold GIS to manage spatial data. how to conduct a big data geo-analytics project by interrogating real world databases.
You'll work hands-on with various software products to manage big data: these include Postgres, QGIS, and Manifold Viewer. Yes, all free!!

Who Should Attend

This course is for data professionals that want to learn how to manage large databases, especially those databases with a geographic component.
If you have worked with GIS or databases, this course will take you to the next level in your analysis skills as we’ll be slicing and dicing multi-gigabyte data stores.

Target Audiences

This course is for data professionals that want to learn how to manage large databases, especially those databases with a geographic component.
If you have worked with GIS or databases, this course will take you to the next level in your analysis skills as we’ll be slicing and dicing multi-gigabyte data stores.

Everyone is talking about big data and GIS, but is anyone really doing it? In this course you’ll work with
gigabytes of data to solve many different spatial and data related questions. All the software is free, but don’t let that fool you: we’ll be using the most effective open source products like Postgres and QGIS, and we’ll even perform parallel processing with Manifold Viewer – I hope you have a multi-core computer to see how fast this stuff is!

At the end of the course, you’ll understand:

the principles behind big data geo-analytics and the role of statistics, databases, parallel processing, and hardware and software in support of big data geo-analytics.
how to use open source software and Manifold GIS to perform parallel processing and manage spatial data.
how to conduct a big data geo-analytics project by interrogating multi-gigabyte real world databases.

And best of all, the software we use in this class is FREE and easy to set up – you’ll do it all yourself! �

The course is taught by Dr. Arthur Lembo who is a Professor at Salisbury University and has worked in the GIS field for
over 30 years.

Course Curriculum

Chapter 1: Course Welcome and What to Expect

Lecture 1: Getting started with the course

Lecture 2: Download the data

Chapter 2: Let's get started

Lecture 1: Our Data

Lecture 2: Loading our data

Chapter 3: The Three V's of Big Data Analytics

Lecture 1: The Three V's

Lecture 2: When more is less: a quick example

Chapter 4: The Data of Big Data

Lecture 1: Types of data

Lecture 2: Classifying data

Chapter 5: Leveraging Databases for Big Data Analytics

Lecture 1: Introduction to databases

Lecture 2: Hands on SQL in Postgres

Lecture 3: spatial SQL queries

Lecture 4: Understanding indexes

Chapter 6: Leveraging Statistics for Big Data Analytics

Lecture 1: Descriptive Statistics

Lecture 2: The Central Limit Theorem

Chapter 7: Leveraging GIS Tools for Big Data Analytics

Lecture 1: Coordinate Systems

Lecture 2: Multi-core processing

Lecture 3: Hardware and Software

Lecture 4: Spatial Indexing

Lecture 5: When more is less: an example from the field

Chapter 8: The LAWS of Manifold

Lecture 1: Launch and Explore the Interface

Lecture 2: Add Data

Lecture 3: Work on Stuff – Selections

Lecture 4: Work on Stuff – Transforms (part I)

Lecture 5: Work on Stuff – topology overlay

Lecture 6: Work on Stuff – SQL in Manifold

Chapter 9: Big Data GeoAnalytics in Manifold

Lecture 1: Aggregate Data

Lecture 2: Join Features

Chapter 10: Real World Example for Big Data Geo Analytics

Lecture 1: Agricultural Yield Potential in New York State

Chapter 11: Course Completion and Where to Go Next

Lecture 1: Bonus Lecture: How to continue learning

Instructors

Arthur Lembo
Professor

Rating Distribution

1 stars: 4 votes
2 stars: 6 votes
3 stars: 19 votes
4 stars: 25 votes
5 stars: 31 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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