How can you build a smart data analysis pipeline in no time using Sparklyr, R, and Power BI? In this one-on-one course, you’ll discover how to turn geospatial data into insights that really make a difference. With personalized guidance and hands-on online modules, you’ll learn exactly how to process and visualize large datasets in a way that makes an impression.
In the world of geoinformation, you work with large amounts of data every day. To properly process, analyze, and visualize this data, you need the right tools. In this blended learning course, you’ll learn to work with three powerful applications: Sparklyr, Power BI Desktop, and the R programming language.
For data visualization, we use Power BI Desktop. This is a user-friendly yet powerful tool that allows you to bring together data from various sources into a single, organized data model. With it, you can build interactive dashboards and clear visualizations that you can easily share with others within your organization.
For processing large datasets, we use Sparklyr. This open-source library serves as the bridge between R and Apache Spark. Sparklyr enables you to analyze large amounts of geospatial data quickly and efficiently, with support for distributed machine learning and advanced algorithms.
Finally, you’ll learn to work with R, a programming language widely used for statistical analysis and data science. Thanks to the combination of R with Sparklyr and Power BI, you’ll develop a comprehensive skill set for transforming raw geodata into valuable insights.
With this blended learning approach—a combination of online modules and in-person sessions—you’ll learn in a flexible, practical, and efficient way. This allows you to immediately apply your new knowledge in your professional field.
Blended Learning Sparklyr, Power BI, and R Programming is a practical course in which you’ll learn how to build powerful big data pipelines using modern analytics tools. You’ll work with cutting-edge technologies such as Sparklyr, Power BI Desktop, and the R programming language, specifically designed for analyzing and visualizing large volumes of geospatial data.
During the course, you’ll work with a realistic case study based on raw earthquake data. You’ll learn how to extract, clean, and convert this data into a usable format. You’ll then use this data to create predictive analyses and data visualizations.
For processing large datasets, you’ll use Sparklyr. This is an open-source library that connects R with Apache Spark, allowing you to work with large datasets quickly and interactively. You’ll also gain access to Spark’s powerful machine learning algorithms, enabling advanced analyses.
With Power BI Desktop, you combine data from various sources into a single data model. You then use this to build clear dashboards and interactive reports that you can easily share with your team or organization.
By combining these tools, you’ll learn step by step how to extract valuable insights from raw data—from source to visualization. This course provides you with a solid foundation and in-depth knowledge of modern data analysis within geoinformation.
Blended learning combines independent online learning with hands-on, interactive sessions, allowing you to develop both theoretical knowledge and practical skills in Sparklyr, R, and Power BI—all applied to geospatial data analysis.
The online modules give you the freedom to learn at your own pace. They include interactive lessons on processing big data, performing statistical analyses, and creating visual reports. You’ll learn, among other things, how to process large datasets with Sparklyr, set up predictive models in R, and build professional dashboards in Power BI Desktop.
During the hands-on online sessions, you’ll immediately put your knowledge into practice. You’ll work with real geodata and receive personalized guidance from experienced data experts. You’ll learn to clean, combine, and transform raw data into usable datasets. You’ll then convert these into dashboards and visualizations that provide immediate insights. Additionally, you’ll discover how to apply machine learning techniques to extract patterns and predictions from your data.
Thanks to the combination of flexible online learning and hands-on assignments, you’ll not only develop technical skills in Sparklyr, R, and Power BI, but you’ll also learn how to apply these tools in realistic geo-projects. Upon completing this course, you’ll be able to independently process and analyze geodata and translate it into clear insights that contribute to smarter and better-informed decisions within your field.
Is blended learning not for you after all? Then choose our Power BI Desktop course with extra personalized guidance—in a classroom or online, whichever you prefer.
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:
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.
