
OBJECTIVES
- To familiarize students with the knowledge and skills required to become a competent and employable Data Analytics professional.
- To cover key topics in Data Analytics, including data analysis, data visualization, regression techniques, and supervised learning.
- To provide hands-on experience with industry projects to help students apply their knowledge in real-world scenarios.
- To deepen students' understanding of Data Analytics and its applications for better decision-making in a data-driven world.
- To cater to working professionals, with no prior programming knowledge required.
- To offer instructor-led offline sessions to enhance the learning experience.
- To equip students with the skills to analyze and work on raw data for human consumption and informed decision-making.
- To help students understand how Data Analytics can be implemented across industry sectors to solve problems, aid decision-making, and serve customers better.
- To prepare students for a career in the competitive Data Analytics market place.
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Duration1 Year
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Fee2000 (1000 per Sem)
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FormatOn-Campus
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