Junior Data Analyst for Methods and Tools for Aspiring Analysts

Course overview

This training provides you with practical foundations for starting work as a Junior Data Analyst. You will learn important methods, tools, and ways of thinking that will help you structure, analyze data, and derive initial data-driven insights. Fundamentals of Data Analysis Understand the role and tasks of a Junior Data Analyst Classify data sources, data formats, and analysis objectives Learn basic analysis processes from the question to the evaluation Critically assess data quality and the significance of data Methods for Aspiring Analysts Clean, structure, and prepare data for analysis Recognize key figures, patterns, and relationships in datasets Apply basic statistical principles for evaluations Interpret analysis results in a comprehensible manner Tools of Data Analysis Use spreadsheet-based tools for initial analyses Classify the basics of databases and queries Create visualizations to present results Select analysis tools meaningfully for professional questions Professional Application and Communication Address data-driven questions from everyday work Prepare and present results understandably Conceptually classify reports and simple dashboards Understand collaboration with departments, management, and technical teams This training supports you in building important analytical skills for entering data-related professions. You will develop a solid understanding of methods and tools that play a central role in the daily work of Junior Data Analysts.

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2027-02-07T23:00:00.000Z · Eberswalde · Blended Learning
• 2026-08-16T22:00:00.000Z · 2027-02-07T23:00:00.000Z · Heilbronn, Neckar · Blended Learning
• 2026-08-16T22:00:00.000Z · 2027-02-07T23:00:00.000Z · Berlin · Blended Learning
• 2026-08-16T22:00:00.000Z · 2027-02-07T23:00:00.000Z · Augsburg, Bayern · Blended Learning
• 2026-08-16T22:00:00.000Z · 2027-02-07T23:00:00.000Z · Bergisch Gladbach · Blended Learning