DATA SCIENCE Course Details
Data science is an interdisciplinary field that combines mathematics, statistics, specialized programming (like Python/R), and artificial intelligence to extract actionable insights from large datasets. It involves the entire data lifecycle—capturing, maintaining, processing, and analyzing data—to solve complex problems, predict future trends, and drive strategic decision-making.
Duration:
6 months
Eligibility:
ELIGIBILITY: Plus Two or equivalent examination recognized by this University with other subjects under Part III optional subjects provided they have secured 45% of the aggregate marks.
Job Sector
- Finance & Banking: Risk management, fraud detection, and algorithmic trading.
- Technology & Software: Developing AI products, improving user experience, and managing large datasets.
- Retail & E-commerce: Personalized marketing, demand forecasting, and inventory management.
- Healthcare & Life Sciences: Medical imaging analysis, drug discovery, and patient trend analysis.
- Manufacturing & Logistics: Supply chain optimization and predictive maintenance.
Job Role
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Data Scientist: Analyzes, processes, and models data to create actionable business insights. Machine Learning Engineer: Designs, develops, and deploys predictive models and AI systems. Data Engineer: Builds and maintains data infrastructure, pipelines, and storage systems. Data Analyst: Interprets data, identifies trends, and prepares reports to support decision-making. Data Architect: Designs the overall blueprint for data management systems, ensuring security and organization. Business Intelligence Analyst: Analyzes market trends and business strategies to optimize performance.
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Instructors
Jhon Pedrocas
Professor
Jhon Pedrocas
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Stephane Smith
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Anna Sthesia
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Petey Cruiser
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