The Secrets of Data Analytics is Out!
Types of Data Analytics
Predictive Analytics:
Explores "Why did it happen?" and "What will happen?"
Descriptive Analytics:
Answers "What happened?" using past data
Prescriptive Analytics:
Recommends actions with "What should be done?"
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Tools Used
Tableau & Power BI:
Advanced data visualizations and dashboards
Spreadsheets:
Basic analytics and easy data sharing
Low-code tools:
Build analytics workflows without extensive coding
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Real-World Applications
Finance:
Automated trading and risk optimization
Marketing:
Personalized recommendation systems
Advertising:
Real-time programmatic ad buying
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Skills Required
Proficiency in summary statistics and model-based inferences
Hands-on learning approach recommended (e.g., IBM’s courses)
Strong understanding of business needs and analytics tools
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Future of Data Analytics
Real-time analytics will dominate business decision-making
AI and Machine Learning will revolutionize data insights
Growing demand for skilled professionals in data engineering, data science, and analytics
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