Non-parametric Models
Improving Employee Productivity with Insights
Capabilities
Methodologies
Analyzing Financial Data
Market Trends
Practical Applications of Statistical Analysis
Analyze Market Trends
Statistical Analysis for Strategic Business Decisions 
Descriptive and inferential statistics are essential for creating financial
models and conducting risk assessments
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Data Analysis Basics Predictive Analysis Uses statistical
models and machine learning techniques to predict future outcomes
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Improving Employee Productivity with Insights reports, employee turnover analysis Predictive Analytics Uses statistical
models to predict future outcomes based on historical data
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Capabilities Techniques used in prescriptive analytics include: Optimization
Models Simulation Models Decision Analysis 7
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Methodologies the iterative process of sampling data, exploring it for patterns, modifying it for analysis, modeling to create predictive
models, and assessing the models for accuracy
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Analyzing Financial Data Predictive Analysis: Utilizing statistical
models and machine learning techniques, predictive analysis forecasts future trends based on historical data
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Market Trends Enhancing predictive
models for market trends
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Practical Applications of Statistical Analysis Budgeting Utilizing statistical
models to create more accurate budgets based on historical data
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Analyze Market Trends Quantitative Forecasting Uses mathematical
models and historical data to forecast future trends
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Using Clustering Techniques commonly used clustering techniques: K-Means Clustering Hierarchical Clustering DBSCAN Gaussian Mixture
Models (GMM) Spectral Clustering Applications of Clustering in Business Clustering techniques have numerous applications across various business sectors
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