Big Data Analyst: Data Analysis

Course overview

SQL for Data Analysis and Database Queries - Formulate efficient queries using joins, subqueries, and aggregations - Improve database performance through indexing and optimization Efficient Data Management and Organization - Understand structured storage and organization of large data volumes - Utilize relational databases for high-performance data analysis Creating Interactive Dashboards with Power BI - Integrate data sources and develop meaningful visualizations - Apply DAX functions to calculate complex metrics Statistical Methods for Big Data Analyst Data Analysis - Conduct pattern recognition and trend analysis in large data sets - Purposefully employ descriptive and inferential statistical techniques Automation with Database Programming - Efficiently design recurring processes with stored procedures - Implement secure transaction control and error handling Big Data Analyst Expertise for Data Analysis - Extract, transform, and cleanse data from heterogeneous sources - Develop optimized ETL processes for efficient data processing

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2027-03-15T23:00:00.000Z · München · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-09-06T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Stuttgart · Hybrid Learning