What happens when you combine the power of Sparklyr, Tableau, and R into a single data-driven workflow? In this one-on-one course, you’ll discover how to quickly extract insights from complex data and present them in a visually compelling way. With personalized guidance, interactive online modules, and hands-on assignments, you’ll learn the techniques that make data analysts indispensable today.
Anyone who works with geodata and information from various sources knows how important it is to create a clear overview. Sparklyr, Tableau, and R are three tools that together form a powerful combination for anyone looking to work with data.
With Sparklyr, you can effortlessly combine different data sources, such as satellite imagery and geographic files. It’s the ideal tool for structuring raw data and preparing it for further analysis.
You then use Tableau to translate that data into interactive dashboards. This allows you to see trends, patterns, and anomalies at a glance. That makes it easier to support decisions or share insights with colleagues or clients.
R is a programming language that allows you to perform in-depth statistical analyses. Think of making predictions, discovering correlations, or performing classifications. When combined with geodata, R opens the door to powerful and flexible analytical capabilities.
These three tools complement each other perfectly. They enable you to extract insights from complex datasets in a smart and visually compelling way—even if you have no prior experience with data analysis or programming.
During this blended learning course, you’ll build practical skills step by step that you can immediately apply in the field of data analysis and geodata. You’ll learn how to prepare, process, and translate datasets into visual insights—using both open-source and commercial tools.
You’ll start with ESA SNAP software, ideal for preprocessing satellite imagery. Next, you’ll use GRASS GIS, a powerful tool for geospatial analysis. Both programs offer extensive capabilities for refining raw data and making it usable.
Next, you’ll be introduced to the Semi-Automatic Classification Plugin (SCP) in QGIS. This free plugin, developed by Luca Congedo, helps you classify remote sensing images. From downloading satellite data to performing raster calculations—you’ll learn how to set up a complete workflow, even without experience in remote sensing.
After that, you’ll move on to Sparklyr, which allows you to combine and clean data sources. This lays a solid foundation for your analysis. In Tableau, you’ll then create dashboards that convey insights in a visually powerful way. Finally, you’ll dive into R, where you’ll program your own analyses to discover correlations and patterns in data.
This course is anything but superficial. You’ll work with real-world tools in a logical, step-by-step approach that directly applies to the professional field. Whether you work with geodata, remote sensing imagery, or statistical datasets—you’ll develop a broad and robust skill set for the future.
Blended learning combines independent online learning with hands-on, interactive sessions, so you gain both theoretical knowledge and practical experience with Sparklyr, Tableau, and R. The online modules give you the freedom to learn at your own pace. They include interactive lessons on data integration, data visualization, and statistical analysis. You’ll discover how to merge different data sources with Sparklyr, how to build powerful dashboards in Tableau, and how to independently generate insights using data models and calculations with R.
During the hands-on online sessions, you’ll immediately apply your knowledge in practice. You’ll work with real-world datasets from the fields of geodata and data analysis and receive personalized guidance from experienced experts. You’ll learn how to effectively process raw data, build clear visualizations, and perform analyses that support your work. In addition, you’ll learn how to document your workflow, share your data, and collaborate within a team. By practicing hands-on with realistic scenarios, you’ll develop a workflow that you can immediately apply to your own projects.
The combination of flexible online learning and practical training ensures that you not only learn to work with Sparklyr, Tableau, and R, but also how to use them effectively in realistic data analysis projects. After this course, you will be able to independently prepare, visualize, and analyze datasets. This will enable you to make better-informed decisions and increase your value as a data professional—whether you work in the geospatial sector or beyond.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
After completing this course, you will be able to:
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Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
After the course, you’ll have another two weeks to ask the instructor questions. Since the instructor is already teaching other courses, it’s best to email your questions to info@geo-ict.nl. Your question will be forwarded to the instructor, and you’ll receive a response within 24 hours.
If you’re a bit further along and encounter practical problems you can’t solve on your own, it’s best to use Online Support. You’ll spend one day online with the instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.
If you run into problems in practice that you can’t solve on your own, you have two options: you can sign up for a beginner or advanced course, or you can sign up for Online Support.
You’ll spend a day online with an instructor and receive personalized one-on-one instruction. All your problems will be resolved, and you’ll have made significant progress.
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All courses are taught in person. Course hours are from 9:00 AM to 4:00 PM. Coffee, tea, lunch, and a laptop are provided.
Taking a course online is also possible, but we only offer hybrid courses in exceptional cases. If you wish to participate in a course online, please indicate this during registration—select “Online” as the location. If that is not possible, this course will only be offered on-site in Apeldoorn.
Yes, we do this regularly. Our instructor will come to your location and bring laptops for the participants. All you need to do is arrange a classroom at your location.
Please email your requirements to info@geo-ict.nl, and we will send you a quote. Once you’ve confirmed the order, our course coordinator will contact you to schedule the training days.
After each course, participants receive a link to our evaluation portal. There, you can share your feedback on what you liked and didn’t like about the course. We always do our very best, but of course, there may be times when you have a complaint. Click on “Complaints Procedure.” It explains what steps you can take. Geo-ICT Training Center, Netherlands is a member of the Dutch Council for Training and Education (NRTO).
After the course, we will email you a link to our evaluation portal. There, you can log in and fill out an evaluation form, and you can also download your certificate of participation.
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