Course

Daten Analysieren, um Fragen zu Beantworten

Google

In Google's Daten Analysieren, um Fragen zu Beantworten course, you'll delve into the essentials of data analysis. Learn to organize and format data using spreadsheets and SQL, aggregate data for analysis, and perform calculations to achieve business objectives. With practical exercises and expert guidance, you'll build the skills necessary for entry-level data analysis roles.

Key elements of the course include:

  • Understanding the importance of structuring data before analysis
  • Converting and formatting data
  • Creating SQL queries to combine data from multiple database tables
  • Using functions for basic data calculations in spreadsheets

Certificate Available ✔

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Daten Analysieren, um Fragen zu Beantworten
Course Modules

Explore the comprehensive modules of Daten Analysieren, um Fragen zu Beantworten. From organizing data and formatting it to aggregating and performing calculations, gain practical skills crucial for data analysis roles.

Organisieren von Daten vor der Analyse

The first module covers the essential skill of organizing data before analysis. You'll learn about sorting and filtering datasets, using functions, and applying SQL queries to sort data. Practical exercises and quizzes will reinforce your understanding of these concepts.

Daten formatieren und anpassen

In the second module, you'll delve into data formatting and customization. Topics include data validation, conditional formatting, transforming data in spreadsheets and SQL, and combining multiple data sources. Practical exercises and self-reflection tasks will solidify your knowledge.

Daten für die Analyse aggregieren

Module three focuses on aggregating data for analysis. You'll explore techniques such as using SVERWEIS and JOINs, understanding COUNT and COUNT DISTINCT, and working with subqueries. Practical exercises and knowledge tests will enhance your mastery of these concepts.

Datenberechnungen durchführen

The final module centers on performing data calculations. Topics include general calculation formulas, working with functions and conditions, using pivot tables, embedding calculations in SQL, and utilizing temporary tables. Engage in practical exercises and quizzes to reinforce your learning.

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