Python and Data Science Trainer
13 hours ago
We are seeking a passionate and knowledgeable Python & Data Science Trainer to deliver high-quality training programs for students and professionals. The trainer will be responsible for conducting classroom and online sessions, designing curriculum content, guiding learners through projects, and preparing them for real-world applications and industry requirements.
Contact :
Key Responsibilities:
- Deliver interactive classroom and online training sessions on Python, Data Science, Machine Learning, and related technologies.
- Design, develop, and update training materials, course content, and assignments.
- Provide hands-on guidance to students through coding exercises, projects, and case studies.
- Explain complex technical concepts in a simplified manner for learners at different levels.
- Monitor student progress and provide regular feedback and mentoring.
- Prepare learners for certifications, interviews, and industry-level projects.
- Stay updated with emerging technologies, tools, and best practices in Python and Data Science.
- Conduct assessments, quizzes, and evaluations to measure learner performance.
- Collaborate with the academic team to improve curriculum and teaching methodologies.
- Ensure high levels of student engagement, satisfaction, and successful course completion.
Qualifications & Skills:
- Bachelor's/Master's degree in Computer Science, Data Science, or related field.
- Strong proficiency in Python programming and libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/PyTorch (preferred).
- Solid knowledge of Data Science concepts: Statistics, Data Analysis, Machine Learning, and Data Visualization.
- Prior experience in teaching/training (classroom or online) preferred.
- Excellent communication and presentation skills.
- Ability to guide students with practical projects and real-time problem solving.
Job Type: Full-time
Pay: ₹20, ₹25,000.00 per month
Benefits:
- Cell phone reimbursement
- Internet reimbursement
- Leave encashment
Work Location: In person
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