6 Best Spatial Data Courses & Certification [2020] [UPDATED]

Best spatial data course tutorial class certification training online

25 Experts have compiled this list of Best Six Spatial Data Online Courses, Tutorials, Training, Classes, and Certifications available online for 2020. It includes both paid and free resources to help you learn about Spatial Data, and these courses are suitable for beginners, intermediate learners as well as experts.

 

6 Best Spatial Data Online Courses, Certification & Training [2020] [UPDATED]

1. Spatial Data with R (DataCamp)

Studies based on spatial analysis is one of the key methods to draw information useful in making socioeconomic, geological decisions and is quickly becoming an important factor in various industries. If you are not acquainted with this topic, then this website will give you an overview and fundamental understanding of this area. Begin with small real-life examples, an introduction to ggmap and ggplot2 following which the lectures talk about object classes, the process of exploring them with a world map, reading data into R, and more.

 

Key USPs –

– This skill track comprises of four courses.

– Demonstrations based on real-life scenarios make it easy to follow.

– Create a visualization from the raw data and add credit to a map.

– Fifty-eight exercises to work alongside the lectures.

– Earn tips and advice about polishing your maps.

– The first module is freely accessible.

 

Duration: 20 hours

Rating: 4.5 out of 5

You can Sign up Here

 

 

2. Spatial Data Science and Applications by Yonsei University (Coursera)

If you have a basic understanding of data science, analysis, and want to build upon that, then this is open to the top options available online. The classes talk about the importance of these datasets and how open-source software deals with problems with these concepts. Explore the relevant disciplines, software, and tools. After you get an overview of foundational topics, the mentor will guide you through each of the disciplines and their applications.

 

Key USPs-

– Retrieve information from datasets and probe further.

– Learn about the ecosystem and tools of Hadoop.

– Topics covered include geographical information systems, DBMS, Big Data Systems, and tools.

– Attempt the quizzes to measure your understanding.

– Free enrolment allows you to self-learn, and the purchasable option is available for earning the verified certification.

 

Duration: 15 hours

Rating: 4.4 out of 5

You can Sign up Here 

 

Review: Great course. It helps I have a background in both Data Science and Geographic Information Science, but still found it equally interesting and challenging! I would highly recommend this course. – MW

 

 

3.  Spatial Data Science: The New Frontier in Analytics (Esri Academy)

This program will teach you to find patterns using location and utilize them to improve predictive modeling. Not only will you get to draw deep insights from huge chunks of data but also work with Esri’s ArcGIS software. Apart from this, you will understand how to integrate well known open source packages into your analytic process.

 

Key USPs-

– Basic knowledge of Python and statistics can be beneficial, but it is not mandatory.

– Hands-on activities include pattern mining, predictive modeling, object detection, and more.

– Prepare input files for analysis by using visualization tools and engineering techniques.

– Downloadable content is available that goes over tips to succeed and an overview of the course content.

– Free access is provided to a suite of software to analyze information and share the findings.

– Registration for the course can be done free of cost.

 

Duration: 6 weeks, 2 to 3 hours per week

Rating: 4.3 out of 5

You can Sign up Here

 

 

4. Core Spatial Data Analysis: Introductory GIS with R and QGIS (Udemy)

If working with spatial data seems intimidating to you, or you may not have found the suitable content to guide you through the practical aspects of spatial analysis, then this course is worth a look. The lessons allow you to get hands-on from the very beginning and let you work with real-world examples that can provide insights into understanding what kind of questions can be tackled by these analyses. Check out our compilation of Best Deep Learning Courses.

 

Key USPs-

– Initial lectures discuss the software and materials required to follow along with the lessons.

– Each topic is explained with practical examples.

– Numerous tips are provided to avoid glitches.

– Showcase your project to potential employers.

– Work on both R and QGIS.

– The mentor will be there to answer your doubts every step of the way.

– 32 Lectures + 1 Article + 4 Downloadable resource + Sectional quizzes + Full lifetime access + Certificate of completion

 

Duration: 2.5 hours                                                                                  

Rating:  4.3 out of 5

You can Sign up Here 

 

Review: Before taking this course, I had no experience about spatial data and GIS. The journey so far has given me the basic insights about geographic information and tools needed to manipulate, maintain, analyze, store and distribute them. – Abdulwahab Mohammad Ibrahim

 

 

5. Visualizing Geospatial Data in R (DataCamp)

This program has been developed for getting you started with the basics of spatial analysis. Lessons are divided into four sections, and they go over the foundational concepts one by one. Take the example of a US-based property sales and explore how ggplot2 and ggmap can be leveraged to add context to your plots. The following modules discuss how to deal with polygon, raster, and point data, the techniques to improve the visual presentation of maps, and more.

 

Key USPs-

– Look into packages like tmap, sp, raster, to name a few.

– Draw information from data and manipulate them to produce maps.

– The interactive classes consist of 58 exercises.

– The first section can be viewed for free.

 

Duration: 4 hours                                                                                     

Rating: 4.4 out of 5

You can Sign up Here

 

 

6. Working with Geospatial Data in Python (DataCamp)

Various programming languages are used to work on geospatial data. This program takes the help of Python libraries like GeoPandas to introduce you to the idea and terminologies. You will also go over the methodologies to read, extract information, and visualize them. Recognize patterns, the relation between them, and how they can be utilized in Python queries. The final set of classes let you practice using multiple datasets. Have a look at our take on Best Python Database Tutorials.

 

Key USPs-

– The importance of the reference system and their application, along with GeoPandas, are covered.

– Fifty-eight exercises and practice assignments follow theory lectures.

– Work on the case study of artisanal mining sites.

– Apply custom operations according to requirements.

– Free access to the first section is available.

 

Duration: 4 hours                                                                                     

Rating: 4.4 out of 5

You can Sign up Here 

 

So, these were the 6 Best Spatial Data Online Tutorials, Classes, Courses, Training & Certifications available online. Hope you found what you were looking for. Wish you a Happy Learning!