Data Analyst - Fundamentals

Course overview

Course: Data Analyst - Fundamentals Course Description The course "Data Analyst - Fundamentals" provides the foundation for entering the field of data analysis. Participants will learn the key methods, tools, and concepts to collect, clean, analyze, and visualize data. Practical examples will demonstrate how data can be transformed into valuable information for businesses. The goal is to build a solid understanding of modern data analysis. Target Audience Beginners, students, business analysts, trainees, and career changers who want to acquire foundational knowledge in data analysis. Course Level Beginner Prerequisites and Recommended Preliminary Courses No specific prerequisites are necessary. Basic knowledge of Excel or IT is helpful. Introduction to Data Analysis Participants will learn the fundamentals of data analysis and understand its benefits in businesses. Practical example: Analyzing sales data to identify patterns. Fundamentals of Data Analysis Benefits in a Business Context Typical Methods and Procedures Practical Example: Sales Data Data Fundamentals - Microsoft DP-900 Basic database and data management concepts will be taught. Practical example: Creating a customer database in Azure SQL. Microsoft DP-900 Azure Data Fundamentals Relational and NoSQL Databases Data Management in Azure Practical Example: Customer Database Visualization with Power BI - Microsoft PL-300 Participants will learn the basics of visualization and how to create initial dashboards. Practical example: KPI report for management. Microsoft PL-300 Power BI Data Analyst Fundamentals of Visualization Creating Simple Dashboards Practical Example: KPI Report Python Basics for Data Analytics This section teaches how Python can be used for data preparation and analysis. Practical example: Cleaning and analyzing survey data. Python for Data Science Pandas and NumPy Basics Data Cleaning and Transformation Practical Example: Survey Data Data Competence - CompTIA Data+ Participants will learn to conduct exploratory data analyses and interpret results. Practical example: Conducting an A/B analysis for product evaluation. CompTIA Data+ Exploratory Data Analysis Data Interpretation Practical Example: A/B Analysis Additional Information The course is AZAV certified and eligible for funding through education vouchers and the Qualification Opportunities Act (QCG). It is suitable for both individuals and B2B clients. Conducted by New Horizons (Munich, Stuttgart, Nuremberg) and learn2program.de. All courses can be taken online throughout Germany. Many of our courses are offered in German and/or English. Conclusion The training "Data Analyst - Fundamentals" provides practical knowledge of the key foundations of data analysis. With Power BI, Python, Azure, and CompTIA Data+, participants are optimally prepared for a career in the field of data analytics.

Upcoming dates

• 2026-09-14T22:00:00.000Z · 2027-01-11T23:00:00.000Z · Passau · Combined Learning
• 2026-09-14T22:00:00.000Z · 2026-11-11T23:00:00.000Z · Passau · Combined Learning
• 2026-09-16T22:00:00.000Z · 2026-11-13T23:00:00.000Z · München · Combined Learning
• 2026-09-16T22:00:00.000Z · 2027-01-13T23:00:00.000Z · München · Combined Learning
• 2026-09-19T22:00:00.000Z · 2027-01-16T23:00:00.000Z · Regensburg · Combined Learning