Content Analysis
Data Preparation Best Practices
Data Mining for Workforce Analytics
Developing Data-Driven Business Strategies
Analytics Tools and Technologies
Statistics
Using Text Analytics for Product Development
Insight
Analytical Models 
mean, median, mode) Cluster
Analysis 2
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Techniques for Mining Customer Feedback Text 
techniques can be broadly categorized into the following: Natural Language Processing (NLP) Text Mining Sentiment
Analysis Topic Modeling Word Clouds 2
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Data Preparation Best Practices 
The importance of data preparation can be summarized as follows: Improves data quality Reduces errors in
analysis Increases model accuracy Facilitates better decision-making Key Steps in Data Preparation The process of data preparation can be broken down into several key steps:
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Data Mining for Workforce Analytics 
Overview Workforce analytics refers to the systematic
analysis of workforce data to improve organizational performance
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Developing Data-Driven Business Strategies 
Data
Analysis: Utilizing statistical tools and software to interpret and analyze data sets to uncover patterns and trends
...Netflix
Content recommendation algorithm based on viewer behavior
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Analytics Tools and Technologies (K) 
Data
analysis, report generation, data sharing
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Statistics 
Statistics is a branch of mathematics dealing with the collection,
analysis, interpretation, presentation, and organization of data
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Using Text Analytics for Product Development 
Overview of Text Analytics Text analytics involves various techniques that convert textual data into structured data for
analysis ...
Insight 
In the realm of business analytics, 'Insight' refers to the actionable information derived from data
analysis that helps organizations make informed decisions
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Practices 
Data Warehousing A centralized repository for integrated data from various sources, optimized for reporting and
analysis ...Infographics: Combining visual elements with informative
content to communicate data effectively
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Selbstständig machen mit Ideen 
Der Weg in die Selbständigkeit beginnt nicht mit der Gründung eines Unternehmens, sondern davor - denn: kein Geschäft ohne Geschäftsidee. Eine gute Geschäftsidee fällt nicht immer vom Himmel und dem Gründer vor die auf den Schreibtisch ...