AI-Based Data Analyst

Course overview

AI with a focus on Based Data Analyst 1. Introduction to AI-Based Data Analysis: Definition and significance of data analysis, Overview of the use of AI in data analysis, Important methods of data preparation 2. Artificial Intelligence in Data Analysis: Presentation of common AI technologies for data analysts, Best practices for using AI in data analysis, Integration of AI into existing analysis tools 3. Practical Implementation of Data Analysis with AI: Case studies of successful AI-supported data analyses, Group exercises for developing data models, Development of a data analysis plan with AI 4. Deepening in Data Analysis Strategies: Success factors for AI-supported data analyses, Risk management in data analysis, Techniques for continuous improvement of analysis processes 5. Management of AI-Based Data Projects: Strategies for leading data analysis teams, Communication strategies in data projects, Monitoring and reporting of analysis results 6. Analysis and Measurement of AI-Supported Data Analysis: KPIs for measuring the success of data analysis projects, Methods for evaluating AI-supported data projects, Optimization of existing data analysis processes 7. Practical Project in AI-Based Data Analysis: Development of your own data analysis project with AI, Presentation of results to the group, Feedback and improvement suggestions from peers 8. Transfer and Reflection in Data Analysis: Identification of lessons learned from data projects, Discussion of future trends in data analysis, Strategies for sustainable implementation of AI in data analysis

Upcoming dates

• 2026-08-17T22:00:00.000Z · 2027-11-14T23:00:00.000Z · Virtuelles Klassenzimmer