Junior Data Analyst: Explorative and Descriptive Data Analysis

Course overview

Creation of professional dashboards and reports Design interactive visualizations to present complex data understandably Create automated reports 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 precisely Optimize database structures to enable powerful queries for a Junior Data Analyst Collecting, processing, and analyzing data Integrate, clean, and prepare data sources for targeted analyses Recognize patterns and trends to derive data-driven insights Statistical analyses and data preparation using Python Perform data cleaning and transformation to enable accurate analyses Utilize statistical methods to reliably identify data-driven relationships Data processing with powerful web technologies Integrate interfaces to web technologies to implement real-time data processing in the Junior Data Analyst course Data-driven process management and decision-making Apply analytical methods to make informed data-driven business decisions Develop strategies to effectively utilize exploratory and descriptive analysis

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