In this practical one-day workshop, you will learn the basics of data work from scratch. From data types and APIs to initial visualizations, you will work with real data and build a solid foundation for data-driven work.
Data Exploration – Hands-on work with data
Overview
Data is everywhere – but how do you actually use it?
Key Facts
Target group
The workshop is aimed at product and project managers, marketing managers, operations teams, founders, and anyone who wants or needs to work with data in a practical way. No prior knowledge is required.
What you can expect
- Interactive exercises with real data sets
- Hands-on sessions that immediately put theory into practice
- Concrete tools: Excel, BigQuery, APIs, and more
- Work in small teams with direct exchange of experiences
- Best practices from various industries
- Certificate from the renowned Hasso Plattner Institute
- Work materials
- Catering: Full board
At the end of the workshop, you will be able to work with data independently. You will not only understand the basics, but also be able to retrieve, prepare, and visualize data in a concrete way. This workshop is not a theoretical exercise, but a practical empowerment to work successfully with data.
Language
The workshop will be held in German. If you prefer English, please contact us at info-pdt@hpi.de
Customized for organizations
We will be happy to prepare an individual offer for you and your organization on request.
Interested? Send us an e-mail to info-pdt@hpi.de
Book your place
Data Exploration – Hands-on work with data
Objectives
- In-depth understanding of data types and data structures – learning about and applying the building blocks of data work
- Practical experience with data sources and APIs – Independently retrieve data and convert it into usable formats
- Fundamentals of data modeling – Understand how data is structured in databases and perform initial SQL queries
- Introduction to data visualization – Develop dashboard concepts that optimally represent data
- Understanding AI-supported data usage - Gain insight into how AI works based on data and where it can be applied
This workshop focuses on practical learning. You will work with real data sets and go through the entire process from data collection to initial visualization. Hands-on exercises and concrete examples will enable you to apply what you have learned directly in your everyday work.
Requirements
If possible, bring your own laptop. No prior knowledge required.
About the workshop
This workshop was developed to teach you practical skills in working with data. From basic data types to initial visualization, you will go through the entire process of data work hands-on.
What you will take away from the workshop:
A sound understanding of data types and sources
Learn about the different types of data, from structured to unstructured data. Understand what data sources exist and how you can tap into them. Collect data yourself and categorize it according to its characteristics.
Practical skills in data preparation
Master the basic techniques of data extraction and transformation. Learn how to convert unstructured data into structured formats. Understand how to connect tables using simple joins.
Working with APIs and databases
Learn how to retrieve data from different sources. Work with public APIs and retrieve data yourself. Learn the basics of SQL and perform your first queries in BigQuery.
Data visualization and communication
Develop an understanding of effective data visualization. Learn which forms of visualization are suitable for which data. Create dashboard concepts that present complex data in an understandable way.
Insight into AI and data
Understand the role of data in digital transformation. Learn where AI can be used in the data value chain. Discover how dashboards can be used to automatically generate AI reports.
Agenda
- Introduction: How data influences business success
- Understanding data types and capturing them in practice
- Structured vs. unstructured data: Transformation in practice
- Data sources & APIs: Hands-on with weather data
- Databases & SQL: First steps with BigQuery
- From data to insights: SQL exercises with real-world questions
- Getting to know visualization & dashboard concepts
- Dashboard prototyping: From concept to paper prototype
- AI & data: Possible applications in the data value chain
- Conclusion and feedback
All dates
- On request
Data Exploration – Hands-on work with data
In Person
Duration
1 dayPlace
PotsdamLanguages
German (English on request)