Junior Data Analyst: Theoretical and Practical Foundations

Course overview

Data processing with powerful web technologies • Utilize interfaces to modern web technologies to enable real-time data processing in the Junior Data Analyst course SQL for database queries and data modeling • Formulate optimized SQL queries to selectively retrieve and analyze structured data • Develop database structures to ensure fast and precise queries for the Junior Data Analyst Collecting, processing, and analyzing data • Capture, clean, and prepare data from various sources for further analysis • Identify patterns and relationships to support data-driven business decisions Statistical analysis and data preparation using Python • Perform data cleaning and transformation to ensure accurate analysis results • Use statistical methods to reliably detect trends and relationships Creating professional dashboards and reports • Create interactive visualizations to present complex analyses understandably • Develop automated reports to provide informed insights for the Junior Data Analyst Data-driven process management and decision-making • Apply data-based methods to specifically optimize and manage business processes based on data • Develop strategies to efficiently implement data-driven decisions

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning