IT trainer Edtech

Job Description

Role: IT Trainer – Data Science & Data Analytics (EdTech) Experience Required: 3 to 6 Years Department: Training & Curriculum Development Industry: EdTech / Education Technology Key Responsibilities: 🔹 Training Delivery Conduct engaging and hands-on training sessions (live online or classroom) on Data Science and Data Analytics topics such as Python, SQL, Machine Learning, Power BI, Tableau, and Excel. Deliver curriculum-aligned content to learners at beginner to intermediate levels. Customize sessions based on learner needs, industry trends, and real-world applications. 🔹 Curriculum Development Design, update, and improve training modules, slide decks, lab exercises, assignments, and project guidelines. Collaborate with the content and academic teams to align modules with job market requirements. 🔹 Project & Case Study Supervision Guide learners through capstone projects, real-world case studies, and problem-solving exercises. Review project submissions and provide constructive feedback. 🔹 Assessment & Evaluation Develop quizzes, tests, and assessments to track learner progress. Conduct periodic evaluations and suggest improvement plans for underperforming learners. 🔹 Mentoring & Support Provide one-on-one mentorship and doubt-clearing sessions. Offer career guidance related to data roles, interview preparation, and skill improvement. 🔹 Industry Alignment Stay updated with the latest trends in data science, analytics tools, and AI/ML technologies. Integrate emerging tools and methods into training content (e.g., LLMs, Python libraries, cloud-based analytics platforms). 🔹 Tech Platform Familiarity Use LMS platforms, virtual labs, and interactive tools effectively for session delivery. Ensure timely upload of resources, attendance tracking, and learner feedback collection. Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, Matplotlib) SQL & RDBMS Power BI / Tableau Excel (Advanced Level) Statistics & Machine Learning Basics Jupyter Notebooks, Google Colab Familiarity with cloud tools (AWS, Google Cloud – optional) Show more Show less