Data Science Trainer
2 weeks ago
Key Responsibilities: Training Delivery: Conduct engaging and interactive training sessions on Python and data science topics, both online and offline. Design and deliver hands-on projects, case studies, and assignments to reinforce learning. Break down complex concepts into easy-to-understand lessons. Curriculum Development: Develop and update course materials, including presentations, exercises, and assessments, to stay aligned with industry trends. Create structured learning paths for different skill levels (beginner to advanced). Technical Expertise: Cover topics such as Python fundamentals, libraries (NumPy, Pandas, Matplotlib, Scikit-learn, etc.), data cleaning, and analysis. Teach machine learning algorithms, data visualization, and exploratory data analysis (EDA). Incorporate real-world datasets and tools (e.g., Jupyter Notebook, SQL, TensorFlow) into training. Student Engagement: Provide guidance and mentorship to students, addressing queries and offering personalized feedback. Conduct assessments and provide constructive feedback to improve student learning outcomes. Foster a positive and motivating learning environment. Industry Updates: Stay up-to-date with emerging trends, tools, and techniques in data science and Python programming. Incorporate the latest developments and use cases into the training content. Performance Tracking: Monitor and track student progress. Provide regular updates and feedback to management on the effectiveness of training programs. Skills and Competencies: Proficiency in Python and its libraries for data analysis and visualization (NumPy, Pandas, Matplotlib, Seaborn, etc.). Strong knowledge of machine learning algorithms and tools like Scikit-learn, TensorFlow, or PyTorch. Experience with SQL, data cleaning, and data preprocessing techniques. Excellent communication and presentation skills. Ability to create an engaging and interactive learning experience. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Preferred Qualifications: Prior experience as a trainer or educator in Python ( Django) and data science. Industry experience in data science, machine learning, or analytics roles. Certifications such as Google Data Analytics, AWS Machine Learning, or similar are an advantage.
Job Types: Full-time, Permanent
Pay: ₹18, ₹25,000.00 per month
Benefits:
- Internet reimbursement
Work Location: In person
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