ARNAVSIRDESHMUKH
1 post
Jul 05, 2025
2:59 AM
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Data Analytics is a multi-disciplinary discipline that entails extracting, transforming, analyzing, and interpreting data to inform decision-making and problem-solving.
It draws elements from a number of core disciplines:
1. Statistics and Mathematics
Topics: probability, statistical modeling, hypothesis testing, regression, etc.
2. Computer Science
3. Business and Domain Knowledge
Knowledge of the particular industry or sector in which data is employed is essential in order to conduct meaningful analysis.
Topics: business processes, key performance indicators (KPIs), market trends, etc.
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4. Information Technology
Concerned with the infrastructure and the systems employed for collecting and storing data.
Topics: cloud computing, data warehousing, big data technologies (e.g., Hadoop, Spark).
5. Machine Learning and Artificial Intelligence (Advanced)
Typical Uses:
Business intelligence
Market analysis
Operations optimization
Healthcare analytics
Sports analytics
Financial modeling
Social media analysis
Summary: Data Analytics is at the crossroads of statistics, computer science, and business,
and is essential to transform raw data into actionable insights.
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