aarohi shikhare
1 post
Jul 03, 2025
3:30 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.
Please visit our website:- Data Analytics Classes in Pune 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. 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.Please visit our website:- Data Analytics Course in Pune
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