Total study time: 24 hours
How do you uncover hidden insights from massive datasets using PySpark, Tableau, and MongoDB? In this 1-on-1 course, you'll explore how to process data intelligently, visualize it clearly, and manage it flexibly using tools trusted by leading companies around the world. With personal guidance and hands-on online modules, you'll build practical skills you can apply immediately in real-world projects.
The combination of PySpark, Tableau, and MongoDB forms the backbone of many modern data platforms. Today’s organizations generate massive amounts of data every day. These tools are essential for turning that raw data into clear, actionable insights.
PySpark, built on Apache Spark, lets you process large datasets quickly and efficiently. It’s widely used for building data pipelines and performing complex calculations across distributed systems.
Tableau is a powerful visualization tool that turns data into easy-to-read graphs and interactive dashboards. This makes patterns and trends immediately visible—even to those without technical experience.
MongoDB is a flexible NoSQL database ideal for storing unstructured or semi-structured data like sensor readings, application logs, or system data. Thanks to its speed and scalability, it’s a popular choice for real-time data management.
Together, these three tools offer a solid foundation for data analytics in fast-paced, data-driven environments.
This course focuses on three must-have tools in modern data analysis: PySpark, Tableau, and MongoDB. Each module is built around real-world examples designed to boost your skills from day one.
You’ll discover how to use PySpark to process large volumes of data, build scalable pipelines, and run ETL processes. With Tableau, you’ll learn to design clear, interactive dashboards that make complex insights easy to understand. Then, you’ll explore how to store and manage unstructured data using MongoDB.
Throughout the course, you’ll work on:
By the end, you’ll have hands-on experience that fits roles like data analyst, data engineer, or BI specialist.
Blended learning gives you the best of both worlds—live interaction and the freedom to study at your own pace—so you can develop real, job-ready data skills. In this course, you’ll get hands-on with PySpark, Tableau, and MongoDB to turn complex data into valuable insights.
We kick things off with a live session where you’ll jump right into working with real data. With guidance from experienced professionals, you’ll learn how to process information using PySpark, create dynamic dashboards in Tableau, and manage flexible data structures in MongoDB.
Next, you’ll dive into self-paced modules that cover key topics like data pipelines, visualization techniques, and NoSQL modeling. You’ll sharpen your skills using tools that are standard in today’s data industry.
Later, in a second live session, you’ll apply what you’ve learned to solve realistic data challenges. You’ll build reliable, scalable workflows and receive expert feedback to refine your approach.
A highlight of the course is a case-based project that reflects the kind of work data teams face every day. You’ll create outputs you can directly apply to tasks in business intelligence, automation, or strategic decision-making.
By combining expert instruction with flexible learning, this course helps you go beyond the basics. You’ll gain the confidence to independently manage and analyze large datasets—and make a real impact in your role.
After completing this course, you will be able to:
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.