Features:

• Build practical skills in data analysis, visualization, and business reporting using real datasets
• 250+ Hour, 6-month industry-ready program, co-developed with IBM·
• 200+ hours of live instructor-led training; 20+ hours of self-paced learning·
• 25 Industry Projects + Choice of 5 Capstone Projects·
• Includes 30 hours of IBM-designed courses·
• Master 20+ Industry-Standard Data Analytics & GenAI Tools
• Learn Excel, SQL, Power BI, Tableau, Python & Advanced Statistics
• 100% Career Assistance.
• Multiple certification from IBM, Career247, and NASSCOM.
• Batch Starting on :- 14th April 2026

Tools & Technologies:
Excel: Functions, pivot tables, dashboarding, data cleaning, and intermediate analytics.
Python: Python programming for data analysis, Pandas for data handling, visualization with Matplotlib.
SQL: DBMS fundamentals, joins, advanced query operations, database projects.
Power BI: Data modeling, DAX basics, interactive dashboards, publishing and reports.

Value-Added Courses:
• Generative AI for analytics: prompt engineering, automated data tasks, AI-enhanced SQL & Python integrations.
• Placement readiness modules: aptitude training, resume building, LinkedIn optimisation, mock interviews.
• Access to a broader skilling library with 200+ complimentary resources.

Career Benefits:
• Program prepares learners for data analyst and analytics support roles in multiple industries.
• Focus on job readiness with interview prep, resume and portfolio support.
• Projects and certification aimed at boosting employability in analytics workflows.

Certifications:
• Multiple certification on completion:IBM + Career247 certificate + NASSCOM-endorsed certification (where mentioned).

Post-Training Support:
• 100% Career assistance including mock interviews, technical test prep, resume review and career mentoring.
• Ongoing access to learning resources and expert guidance during the job search.

Payment Options:
• Scholarships and flexible payment plans (including No-Cost EMI) available.

Additional Highlights:
• Live sessions delivered by industry professionals with analytics experience.
• Course materials accessible 24/7 via an online portal.
• Designed for both freshers and career switchers (non-tech backgrounds).