Junior Data Analyst: Methods and Tools for Aspiring Analysts

Course overview

Collecting, Processing, and Analyzing Data - Capture, clean, and structure data from various sources - Identify patterns and trends to support data-driven decisions in the Junior Data Analyst course SQL for Database Queries and Data Modeling - Formulate efficient SQL queries to analyze large datasets effectively - Optimize database structures to enable powerful analyses for a Junior Data Analyst Creating Professional Dashboards and Reports - Create interactive visualizations to present complex data clearly - Generate automated reports to effectively support data-driven decisions Statistical Analysis and Data Preparation Using Python - Perform data cleaning and transformation to achieve more accurate analysis results - Apply statistical methods to derive meaningful insights from datasets Data Processing with Powerful Web Technologies - Utilize web interfaces to implement real-time data processing in the Junior Data Analyst course Data-Driven Process Management and Decision Making - Use data-driven methods to analyze and optimize business processes - Develop strategies to systematically improve data-driven decision-making

Upcoming dates

• 2026-08-30T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-03-08T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning