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AI & Data Analytics

Open 25d

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)
  • Good understanding of data analysis concepts and visualization
  • Strong communication and presentation skills
  • Ability to engage and manage classroom effectively


See also

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