Data Analyst - Data Quality 2.0

Course overview

Course: Data Analyst - Data Quality Course Description The course "Data Analyst - Data Quality" provides practical knowledge for ensuring, optimizing, and evaluating data quality. Participants will learn how to check, clean, and make data usable for meaningful analyses. The goal is to create a solid foundation for data-driven decisions in the company. Target Group Data Analysts, Business Analysts, IT professionals, as well as specialists from controlling and data management who wish to deepen their knowledge in the area of data quality. Course Level From beginner to advanced Prerequisites and Recommended Preliminary Courses Basic knowledge in statistics or databases is helpful but not mandatory. Fundamentals of Data Quality Participants will learn about the dimensions of data quality - accuracy, consistency, and completeness. They will understand how these aspects are crucial for reliable analyses. Practical example: Checking a customer database. Dimensions of data quality Relevance for companies Typical sources of error Practical example customer database Data Fundamentals - Microsoft DP-900 Basic data management concepts and types of databases will be covered. Practical example: Analyzing data quality with Azure SQL. Microsoft DP-900 Azure Data Fundamentals Relational and NoSQL databases Data management in Azure Practical example Azure SQL Data Visualization with Power BI - Microsoft PL-300 Participants will learn how to visualize and monitor data quality. Practical example: Creating a dashboard to monitor quality indicators. Microsoft PL-300 Power BI Data Analyst Visualization of quality metrics Creating interactive dashboards Practical example dashboard Data Preparation with Python The focus is on cleaning, transforming, and standardizing data. Practical example: Preparing survey data with Pandas. Python for Data Science Basics of Pandas and NumPy Transformation and standardization Practical example survey data Advanced Skills - CertNexus CDSP and DEBIZ With CDSP, participants will learn the professional application of data science methods, while DEBIZ provides business perspectives on data ethics and governance. Practical example: Conducting an A/B analysis with CDSP. CertNexus CDSP - Certified Data Science Practitioner CertNexus DEBIZ - Data Ethics for Business Professionals Governance and compliance Practical example A/B analysis Additional Information The course is AZAV certified and can be funded 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) as well as 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 - Data Quality" qualifies participants to comprehensively assess, improve, and transparently present data quality in reports. With Power BI, Python, and CDSP, they receive practical tools f…

Upcoming dates

• 2026-08-12T22:00:00.000Z · 2027-02-27T23:00:00.000Z · Landshut, Isar · Combined Learning
• 2026-08-12T22:00:00.000Z · 2026-11-18T23:00:00.000Z · Landshut, Isar · Combined Learning
• 2026-09-09T22:00:00.000Z · 2027-03-27T23:00:00.000Z · Landshut, Isar · Combined Learning
• 2026-09-09T22:00:00.000Z · 2026-12-16T23:00:00.000Z · Landshut, Isar · Combined Learning