Inhouse Workshops & Seminars

You do not want to leave data science to service providers and prefer to master it yourself? Not only does DATANOMIQ offer innovative services in big data analytics and data science, it also empowers your employees to apply the basics of data science, whether in purchasing, controlling, sales, manufacturing, quality or risk management!

Workshops & Seminars for Software Developers / BI Experts

Subsequent workshops / seminars provide introductory expertise in the areas of data science and / or data engineering. The courses are aimed at professionals of computer science / engineering and technology-savvy economists. The workshops or seminars have a duration of 3 to 5 days (8 hours each). Whether an event is organized more as a seminar (theoretically) or as a workshop (processing of practical programming tasks), and which content-related priorities should be set, must be agreed in advance.

Big Data Tools – Introduction to Data Engineering

Workshop / seminar for the introduction of the Big Data tools Apache Hadoop, Apache Spark and the two NoSQL databases MongoDB and Neo4J. The participants learn how to handle these big data tools and how to develop their first applications with them. The target group of this workshop are IT developers with background in software development or business intelligence. More information can be found here.

Data Science with Python – Introduction to Data Science & Machine Learning

Workshop / seminar for the introduction to the methods of Data Science. Participants will learn how to implement the basics of descriptive and inductive statistics and the most common methods of machine learning with Python. The target audience for this workshop will be IT professionals / consultants with background in software development or business intelligence. More information can be found here.

Process Mining – practical introduction to data mining for processes

Workshop / Seminar for the introduction in Process Mining, a special method of the data-based reconstruction of business processes for business analytics, process optimization or auditing. More information can be found here.