Big Data Analyst: Analyses

Course overview

Participants will learn to use Power BI and SQL to conduct complex Big Data analyses as well as methods for efficient data management and automation. Interactive dashboards with Power BI for Big Data Analyst tools for Big Data Analyst analyses Import and visualize data sources from various systems Utilize DAX functions for calculated columns and dynamic analyses SQL for data analysis and database queries Write complex SQL queries for efficient data analysis Purposefully link data using joins, aggregations, and subqueries Efficient data management and organization Optimize structured storage and management of large data volumes Apply fundamentals of relational databases for high-performance analyses Statistical methods for Big Data Analyst analyses Recognize patterns and analyze trends using statistical methods Utilize descriptive statistics for informed preparation and interpretation Automation with database programming Develop stored procedures to automate recurring analyses Implement transaction control for secure and error-free data processes Big Data Analyst tools for Big Data Analyst analyses - Efficient working methods Efficiently process, clean, and analyze data sources Employ optimized ETL processes for powerful data analyses

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