Aggregation
Data Recognition
Analyzing Data for Insights
Concepts
Data Mining Processes Overview
Data Insights
Understanding Analytics Lifecycle
Data Preparation Steps
Evaluating Success Through Data Analysis 
It uses methods such as: Data
aggregation Data mining Statistical analysis 2
...
Data Recognition Data Transformation: Converting data into a suitable format for analysis, which may involve normalization or
aggregation ...
Analyzing Data for Insights 1 Key Features of Descriptive Analytics Data
Aggregation: Compiling data from various sources
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Concepts It answers the question: "What happened?" Techniques include: Data
aggregation Data mining Reporting 1
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Data Mining Processes Overview Data Transformation Converting data into a suitable format for analysis, such as normalization or
aggregation ...
Data Insights Techniques include: Data
aggregation Data mining Statistical analysis 2
...
Understanding Analytics Lifecycle process may include: Data cleaning (removing duplicates, correcting errors) Data transformation (normalization,
aggregation) Data integration (combining data from multiple sources) 4
...
Data Preparation Steps Aggregation: Summarizing data to a higher level
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Utilizing Reports for Effective Decision Making Key aspects of descriptive analytics include: Data
Aggregation: Compiling data from various sources to create a comprehensive view
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Effective Techniques for Visual Analysis Data
Aggregation: Summarizing data to focus on high-level insights
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Nebenberuflich selbstständig 
Nebenberuflich selbständig ist, wer sich neben seinem Hauptjob im Anstellungsverhältnis eine selbständige Nebentigkeit begründet.
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