Data Analytics Trainer

A Data Science & Analytics Trainer designs and delivers programs teaching data skills (Python, R, SQL, ML, Viz) through engaging workshops, hands-on projects, and mentoring, requiring strong technical knowledge, excellent communication, and the ability to stay updated on industry trends to empower learners with practical data analysis and modeling abilities Key Responsibilities Curriculum Development: Create comprehensive, up-to-date training materials, presentations, exercises, and real-world projects. Training Delivery: Conduct interactive workshops, lectures, and webinars for diverse audiences, both in-person and online. Technical Instruction: Teach core concepts like programming (Python, R), databases (SQL), machine learning, statistics, and data visualization (Tableau, Power BI). Learner Support: Mentor participants, offer one-on-one coaching, help with complex concepts, and provide career advice (resumes, interviews). Assessment & Feedback: Evaluate student progress through assignments and projects, providing constructive feedback for improvement. Industry Updates: Stay current with the latest data science trends, tools, and methodologies to keep content relevant. Collaboration: Work with other trainers and experts to ensure high-quality, cohesive learning experiences.  Required Skills & Qualifications Technical Expertise: Strong command of Python, R, SQL, data analysis, machine learning, and visualization tools (Tableau, Power BI). Teaching Ability: Proven experience in training, mentoring, or facilitating, with excellent communication and presentation skills. Experience: Background as a Data Analyst, Data Scientist, or similar role. Soft Skills: Ability to engage learners, manage group dynamics, and provide motivational guidance