AI & Data Analytics
Summary
Teaches data analytics skills like Excel, SQL, and Power BI to students through classroom sessions, hands-on projects, and career prep, focusing on practical learning and placement readiness.
Key Responsibilities:
Training Delivery:
Conduct classroom and/or online sessions on Data Analytics modules, including Excel, SQL, Power BI, and basic Python (if applicable).Curriculum Implementation:
Deliver training as per the prescribed curriculum, ensuring timely completion of modules and alignment with industry standards.Student Assessment & Evaluation:
Conduct regular assessments, assignments, and mock tests to evaluate student progress and learning outcomes.Hands-on Learning:
Facilitate practical sessions, case studies, and real-world projects to enhance applied learning.Student Mentorship & Support:
Provide individual support to students for doubt resolution, career guidance, and interview preparation.Attendance & Batch Management:
Monitor student attendance, ensure discipline, and maintain batch performance records.Placement Readiness:
Prepare students for placements through resume building, mock interviews, and soft skills integration.Coordination & Reporting:
Maintain training records, submit MIS reports, and coordinate with centre managers and placement teams.
Requirements
Key Skills & Qualifications:
- Graduate/Postgraduate in Data Analytics, Computer Science, IT, Statistics, or related field
- Strong knowledge of:
- Advanced Excel (Pivot Tables, Formulas, Dashboards)
- SQL (basic to intermediate queries)
- Power BI / Tableau
- Basic Python (preferred but not mandatory)
- Advanced Excel (Pivot Tables, Formulas, Dashboards)
- Good understanding of data analysis concepts and visualization
- Strong communication and presentation skills
- Ability to engage and manage classroom effectively