Data-Driven Analysis & Python Programming (m/f/d)

Course overview

The specialist in data-driven analysis & Python programming develops analytical solutions to predict trends and business developments. They extract, clean, and analyze complex datasets using Python programming. Their core tasks include implementing statistical models, creating machine learning algorithms, and visualizing data analyses. The specialist creates data-based decision-making foundations, optimizes existing analysis processes, and supports the integration of predictive analytics solutions into business processes. They work at the intersection of data analysis and computer science, utilizing Python frameworks for efficient evaluations. Predictive Analytics & Algorithms - Forecast Models and Data-Driven Decisions with Big Data • Data-driven predictions for companies - Understanding and applying forecast models • Data management for predictive analytics - Preparing and making data sources usable • Selecting algorithms specifically for predictions - Practically applying statistics & machine learning • Developing practical forecast models - Use cases for production, marketing, finance • Mastering the toolset for data-driven predictions - Utilizing analysis platforms & automation • Successfully training & testing models - Ensuring performance and generalizability • Translating forecasts into action - Real-time insights & decision dashboards • Minimizing risks of data-driven models - Bias, explainability & GDPR in practice • Operating predictions efficiently and sustainably - Model maintenance & evaluating ROI Software Development with Python - Programming Logic and Basic Concepts • Understanding data processing and hardware - Digitalization, AI & standards in the technology context • Setting up work environments & securely applying Python syntax - Structuring scripts and modules cleanly • Automating programs through logical control - Effectively integrating loops into tasks • Utilizing functions and designing programs modularly - Practically integrating error handling • Working with file formats and APIs - Professionally accessing & processing data sources • Using classes and objects in business applications - Creating structured software solutions with OOP • Preparing and visualizing data understandably - Creating dashboards for business use cases • Automating classification, clustering & predictions - Reflectively applying AI - Observing standards & ethics • Practical exercise ------------------------------------------------------------------------------------------------------------------ Work with our career advisors to develop your individual course plan ------------------------------------------------------------------------------------------------------------------

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning