Data Analyst: Preparation for Data Analysts and Data Scientists

Course overview

Title: Data Analyst Preparation for Data Analysts and Data Scientists 1. Course Description The course "Data Analyst Preparation for Data Analysts and Data Scientists" provides the essential foundations and tools to enter the world of data analysis and data science. Participants will learn how to collect, process, analyze, and visualize data. The focus is on practical tools such as Microsoft Power BI and Azure Data Services, as well as methodological foundations of data analysis. The course establishes a solid foundation for future Data Analyst or Data Scientist roles. 2. Target Audience This course is aimed at aspiring Data Analysts, Business Analysts, Data Scientists, IT professionals, and career changers interested in data-driven work and analytical thinking. 3. Course Level From beginner to advanced - no programming knowledge required. 4. Prerequisites and Recommended Preliminary Courses Basic knowledge of Excel or Office applications is helpful. The course "Fit for the Office with Microsoft Office" is recommended to strengthen spreadsheet and data skills. 5. Agenda (4-6 Topic Blocks) Module 1: Fundamentals of Data Analysis and Data Science Participants will learn how to collect, clean, and prepare data for analysis. Basic terms such as data modeling, statistics, and visualization will be introduced. Practical Example: Analyzing a company dataset with Power BI. Course Content: - Introduction to Data Analytics and Data Science - Data Types, Sources, and Cleaning - Basics of Exploratory Data Analysis - Practical Examples from Business and IT Module 2: Microsoft DP-900 - Azure Data Fundamentals This module introduces the Microsoft Azure data platform. It provides an understanding of database concepts, cloud data analysis, and basic machine learning. Practical Example: Using Azure SQL and Azure Synapse for data analysis. Course Content: - Introduction to Relational and Non-Relational Databases - Overview of Azure Data Services - Data Processing with Azure Synapse Analytics - Basics of AI Integration in Azure Module 3: Power BI for Data Analysts - PL-300 This module teaches practical work with Microsoft Power BI. Participants will learn to develop interactive dashboards and make data-driven decisions. Practical Example: Creating an interactive corporate reporting with Power BI. Course Content: - Data Modeling and DAX Basics - Visualization and Storytelling with Power BI - Dashboard Design and Best Practices - Publishing and Data Refresh in the Cloud Module 4: CertNexus Certified Data Science Practitioner (CDSP) The CDSP module covers data science methods and tools for advanced analysis. The module prepares for an internationally recognized certification. Practical Example: Developing a machine learning model to predict customer data. Course Content: - Basics of Machine Learning - Model Training and Evaluation - Data Ethics and Governance - Project Work: Data Science Lifecycle Module 5: Career Perspectives and Practical Application At the end, par…

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-10-22T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2027-01-14T23:00:00.000Z · Würzburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2027-01-14T23:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-22T22:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-22T22:00:00.000Z · München · Combined Learning