Junior Data Analyst: Exploratory 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 accurately - 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 - Identify patterns and trends to derive data-driven insights Statistical analyses and data preparation using Python - Perform data cleaning and transformation to enable precise analyses - Utilize statistical methods to reliably identify data-driven relationships Data processing with powerful web technologies - Integrate interfaces with 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

• 2026-09-20T22:00:00.000Z · 2027-03-29T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-09-20T22:00:00.000Z · 2027-03-29T22:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-09-20T22:00:00.000Z · 2027-03-29T22:00:00.000Z · Dresden · Hybrid Learning
• 2026-09-20T22:00:00.000Z · 2027-03-29T22:00:00.000Z · Leipzig · Hybrid Learning
• 2026-09-20T22:00:00.000Z · 2027-03-29T22:00:00.000Z · Laatzen bei Hannover · Hybrid Learning