Junior Data Analyst: Methods and Tools for Aspiring Analysts

Course overview

Collecting, Processing, and Analyzing Data Gather, 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

• 2026-08-02T22:00:00.000Z · 2027-02-08T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-02T22:00:00.000Z · 2027-02-08T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-02T22:00:00.000Z · 2027-02-08T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-02T22:00:00.000Z · 2027-02-08T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-02T22:00:00.000Z · 2027-02-08T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning