Big Data Analyst with Management and Business Planning

Course overview

In this course, you will first acquire business knowledge in the areas of business planning, budgeting, and investment calculation. You will also learn about Data Analytics and Data Engineering, the use of Artificial Intelligence (AI) in this field, and the management of data analysis in Big Data. Management and Business Planning Management Goals, methods, and tools for business plan creation (SWOT analysis, scenario analysis, portfolio analysis, creativity techniques) Contract law Artificial Intelligence (AI) in the work process Commercial and corporate law Project planning Environmental analysis Marketing Financial planning Investment calculation planning Financing planning Controlling Project work, certification preparation, and certification examination Data Engineer Basics of Business Intelligence, Data Engineering Requirements management for Data Engineers Artificial Intelligence (AI) in the work process Databases Data Warehouse ETL Project work for Data Engineers Data Analytics Introduction to data analysis Review of basic Python Data analysis, Data Analytics Artificial Intelligence (AI) in the work process Data visualization Data management Data analysis in the context of Big Data Dashboards Text Mining Project work for Data Analytics Big Data Specialist What is Big Data? Introduction to Big Data frameworks: Big Data solutions in the cloud (overview of AWS, Azure, GCP), introduction to Data Lakes and Data Warehouses, overview of Apache Hadoop and Spark Distributed data processing with Spark: Apache Spark Data pipelines and data integration: ETL and ELT processes, orchestration Components of Big Data: Apache Spark NoSQL and data storage: CAP theorem, ACID, BASE, HBase, databases Big Data visualization: BI tools (Power BI, Tableau) Data governance and data protection: GDPR, governance concepts Project work in Big Data Changes are possible; the course content is regularly updated.

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-02-11T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-11T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-11T23:00:00.000Z · Bochum · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-11T23:00:00.000Z · Braunschweig · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-02-11T23:00:00.000Z · Darmstadt · Combined Learning