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Admission Open for Session 2026-27

Data Science & Analytics

Build Expertise in Data & Machine Learning

12 Months with OJT | Seats: 30 Students Per Batch

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About This Program

This program equips students with practical skills in data analysis, visualization, and machine learning tools used across industries.

The curriculum covers Python programming, data cleaning, data visualization, SQL database handling, Excel analytics, Power BI dashboards, and introductory machine learning concepts aligned with current industry requirements.

Students work on real-world business case studies involving sales analysis, financial forecasting, marketing performance tracking, and operational data interpretation to develop analytical problem-solving skills.

By building practical portfolios and industry-oriented projects, learners become job-ready for roles in IT companies, fintech firms, consulting organizations, startups, and corporate analytics departments.

Career Opportunities

Admission Details

Eligibility Graduate
Duration 12 Months with OJT
Selection Process Direct Admission
Seats 30 Students Per Batch
Fee ₹30,000 (excluding exam fee)
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Frequently Asked Questions

Common questions about Data Science & Analytics

The duration of the programme varies according to the course structure and academic training schedule offered by the institute.

Students who have completed 10+2, diploma, or graduation in relevant disciplines are generally eligible to apply depending on programme requirements.

The programme covers data analysis, machine learning basics, statistics, Python programming, data visualization, business analytics, big data concepts, and predictive analytics techniques.

Yes, students receive hands-on practical training through live projects, case studies, datasets, analytics tools, and real-world problem-solving exercises.

Students are introduced to industry-relevant tools and technologies such as Python, Excel, Power BI, Tableau, SQL, and data analytics platforms.

Students can work as Data Analysts, Business Analysts, Junior Data Scientists, Analytics Consultants, Data Visualization Specialists, and Research Associates.

No, the programme is designed to help beginners learn programming and analytics concepts from foundational to advanced levels.

Yes, the course emphasizes practical analytics skills, real-world applications, project-based learning, and industry-oriented problem solving.

Yes, graduates can explore opportunities in IT companies, startups, financial institutions, healthcare analytics, e-commerce, marketing analytics, and consulting sectors.

The programme offers practical learning, modern analytics tools, project-based training, and career-oriented education aligned with growing industry demand for data professionals.

Industry-Integrated Certification Programmes

Skill-oriented programmes aligned with industry standards and practical learning.

Certificate
Industry Recognition

Programmes aligned with industry-oriented learning and skill development.

SSC & NSDC Alignment

Courses mapped with Sector Skill Councils and industry standards.

Practical Learning

Hands-on training, workshops, projects, and practical exposure.

Career Focused

Designed to enhance employability and professional competency.

Student Testimonials

"The practical projects and analytics training helped me build confidence in handling real-world datasets and business problems."

Aditya Sharma
Data Analyst

"The programme provided excellent exposure to Python, data visualization, and analytics tools which improved my technical skills significantly."

Sana Fatima
Business Analytics Student

"The hands-on learning approach and industry-oriented curriculum helped me understand modern data science and analytics concepts effectively."

Mohammad Danish
Junior Data Scientist