Data Science - Specialization

Course overview

Course: Data Science - Specialization Course Description The course "Data Science - Specialization" is aimed at participants who wish to deepen and specialize their foundational knowledge in the field of Data Science. Building on solid foundations, advanced methods, tools, and concepts are taught to conduct complex data analyses and to productively implement AI-supported models. The goal is to develop an individual competency profile that qualifies for demanding tasks in the field of Data Science. Target Group Data Analysts, Data Scientists, Business Analysts, IT professionals, and specialists from controlling or marketing who want to specialize in advanced Data Science tasks. Course Level Advanced to Professional Prerequisites and Recommended Preliminary Courses Good knowledge of Python, SQL, and data analysis is recommended. Deepening Python and ML Participants will expand their knowledge in Python and Machine Learning. Practical example: Development of a classification model for customer data. Python for Data Science Machine Learning with Python Practical example classification model Data Management and Analysis - Microsoft DP-900 and PL-300 Advanced concepts of databases and visualization techniques will be taught. Practical example: Development of an interactive dashboard for management. Microsoft DP-900 Azure Data Fundamentals Microsoft PL-300 Power BI Data Analyst Interactive dashboards and KPI reports Practical example management dashboard Advanced Data Science Methods - CertNexus CDSP Participants will learn complex analytical procedures and modeling approaches. Practical example: Forecast model for optimizing marketing campaigns. CertNexus CDSP - Certified Data Science Practitioner Exploratory analyses Forecasting methods Practical example marketing forecast AI Integration - Microsoft AI-900 and AI-102 Participants will acquire knowledge on the use of AI and Cognitive Services. Practical example: Development of a chatbot with Azure Cognitive Services. Microsoft AI-900 Azure AI Fundamentals Microsoft AI-102 Azure AI Engineer Associate Cognitive Services for AI integration Practical example chatbot Specialization Deep Learning This module teaches the fundamentals of Deep Learning and the use of modern frameworks. Practical example: Development of an image classification model with PyTorch. Deep Learning fundamentals PyTorch framework Practical example image classification Additional Information The course is AZAV certified and eligible for funding through education vouchers and the Qualification Opportunities Act (QCG). It is suitable for both individuals and B2B clients. Conducted by New Horizons (Munich, Stuttgart, Nuremberg) as well as learn2program.de. All courses can be taken online throughout Germany. Many of our courses are offered in German and/or English. Conclusion The training "Data Science - Specialization" offers a practice-oriented program that prepares participants for demanding roles in the field of Data Science. With DP-…

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-03-17T23:00:00.000Z · München · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-08-10T22:00:00.000Z · München · Combined Learning
• 2026-11-08T23:00:00.000Z · 2027-03-31T22:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-11-08T23:00:00.000Z · 2027-08-24T22:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-11-09T23:00:00.000Z · 2027-04-01T22:00:00.000Z · Passau · Combined Learning