Ge Healthcare
Essential Skills for Data Analysts
Data Mining for Decision Making
Data Mining in Cloud Computing
Data Analysis for Sustainable Development
Forecasting Trends with Predictive Analytics
Building Predictive Models for Success
Unlocking Value from Big Data
Enhancing Forecast Accuracy with Predictive Analytics 
Healthcare: Anticipating patient admissions and optimizing resource allocation in hospitals
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Real-Time Data Processing in BI 
include: Data Sources: Various sources such as IoT devices, social media, transactional systems, and web applications
generate data continuously
...Healthcare: Monitoring patient vitals in real-time to provide timely medical interventions
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Essential Skills for Data Analysts 
Domain-Specific Knowledge: Familiarity with specific industries, such as finance,
healthcare, or marketing, can enhance the relevance of the analysis
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Data Mining for Decision Making 
Healthcare: Predictive analytics for patient outcomes and treatment effectiveness
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Data Mining in Cloud Computing 
Some notable applications include:
Healthcare: Analyzing patient data to improve treatment outcomes and operational efficiency
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Data Analysis for Sustainable Development 
Traffic management systems using real-time data Reduced congestion and emissions
Healthcare Analyzing health data to improve public health strategies Better health outcomes and resource allocation
...They analyze real-time data to
generate insights that inform humanitarian responses and development strategies
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Forecasting Trends with Predictive Analytics 
Healthcare: Anticipates patient outcomes and improves treatment plans by analyzing historical health data
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Building Predictive Models for Success 
Healthcare: Forecasting patient admissions and optimizing resource allocation
...
Unlocking Value from Big Data 
Big data refers to the vast volumes of structured and unstructured data
generated by businesses and consumers on a daily basis
...Healthcare: Utilizing patient data to improve treatment outcomes and reduce costs
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Advanced Statistical Techniques for Decision-Making 
Likelihood Posterior Probability Bayesian methods are widely used in various fields, including finance, marketing, and
healthcare ...
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