Categorical Variable
Key Statistics for Analysts
Practical Data Analysis Approaches
Predictive Analytics Models
Building Predictive Models
Data Mining Approaches
Data Mining Techniques for Future Predictions
Activities
Key Statistics for Analysts 
Mode: The most frequently occurring value in a dataset, useful for
categorical data analysis
...Regression Analysis: A statistical method for modeling the relationship between a dependent
variable and one or more independent variables
...
Practical Data Analysis Approaches question "Why did this happen?" through techniques such as: Correlation Analysis: Identifies relationships between
variables
...Classification Algorithms: Such as decision trees and support vector machines, used to predict
categorical outcomes
...
Predictive Analytics Models Regression Analysis Regression analysis is a statistical method used to model the relationship between a dependent
variable and one or more independent variables
...Classification Models Classification models are used to predict
categorical outcomes
...
Building Predictive Models This process includes: Handling missing values Removing duplicates Encoding
categorical variables Normalizing or standardizing numerical features 4
...
Data Mining Approaches 1 Classification Classification is a supervised learning approach where the goal is to predict the
categorical label of new observations based on past data
...3 Association Rule Learning Association rule learning is used to discover interesting relationships between
variables in large databases
...
Data Mining Techniques for Future Predictions Regression Predicting a continuous value based on the relationship between
variables
...The goal is to predict the
categorical label of new, unseen data points
...
Activities Correlation analysis to identify relationships between
variables
...Description Use Case Bar Charts Displays
categorical data with rectangular bars
...
Analyzing Customer Data with Machine Learning Applications Regression Analysis Predicting a continuous outcome
variable based on one or more predictor variables
...Data Preprocessing: Clean and prepare the data for analysis by handling missing values, encoding
categorical variables, and normalizing numerical values
...
Data Mining Techniques for Financial Forecasting Regression Analysis Regression analysis is a statistical method used for estimating the relationships among
variables
...Handles both numerical and
categorical data
...
Data Overview commonly used in business analytics: Regression Analysis: A method for modeling the relationship between a dependent
variable and one or more independent variables
...Chi-Square Test: A test to determine whether there is a significant association between
categorical variables
...
Eine Geschäftsidee ohne Eigenkaptial 
Wenn ohne Eigenkapital eine Geschäftsidee gestartet wird, ist die Planung besonders wichtig. Unter Eigenkapital zum Selbstständig machen versteht man die finanziellen Mittel zur Gründung eines Unternehmens. Wie macht man sich selbstständig ohne den Einsatz von Eigenkapital? Der Schritt in die Selbstständigkeit sollte gut überlegt sein ...
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