Tutor - Data Science

  • Hyderabad
  • Coursevita
Job Description Coursevita is an EdTech company committed to revolutionizing education through innovative technology solutions. Our mission is to empower learners worldwide by providing access to high-quality educational resources and personalized learning experiences. We are seeking a dynamic and experienced Tutor specializing in Data Science to join our team at Coursevita. As a Tutor, you will play a crucial role in delivering comprehensive instruction and support to learners enrolled in our Data Science courses, helping them develop essential skills and expertise in data science. Roles and Responsibilities: Conduct live online tutoring sessions for learners enrolled in Data Science courses, covering foundational concepts, techniques, and methodologies in data science. Develop and deliver engaging and interactive lesson plans, tutorials, and assignments tailored to the learning objectives and skill levels of learners. Provide personalized guidance, feedback, and support to learners to help them understand complex data science concepts, algorithms, and tools. Facilitate discussions, group projects, and hands-on activities to reinforce learning and promote critical thinking and problem-solving skills among learners. Stay updated on the latest trends, advancements, and best practices in data science, machine learning, and artificial intelligence. Assist in the development and enhancement of course content, curriculum, and learning resources based on learner feedback and industry trends. Collaborate with other tutors, subject matter experts, and instructional designers to ensure the quality and effectiveness of Data Science courses. Foster a positive and inclusive learning environment that encourages active participation, collaboration, and continuous improvement among learners. Provide support and guidance to learners outside of scheduled tutoring sessions through email, discussion forums, and virtual office hours. Maintain accurate records of tutoring sessions, learner progress, and performance evaluations in the company's learning management system. Requirements Technical Expertise Expected: Strong understanding of core concepts and principles of data science, including data analysis, statistical modelling, machine learning, and data visualization. Proficiency in programming languages commonly used in data science, such as Python, R, or SQL. Familiarity with data science libraries and frameworks, such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch. Experience working with data manipulation, cleaning, and preprocessing techniques using tools like pandas and SQL. Ability to explain complex data science algorithms, methodologies, and techniques in a clear and understandable manner. Experience applying data science concepts to real-world problems and projects, including data wrangling, feature engineering, and model evaluation. Knowledge of data ethics, privacy regulations, and best practices in data science is a plus. Requirements 1. Data science fundamentals: analysis, modeling, ML, and visualization. 2. Proficiency in Python, R, or SQL. 3. Familiarity with key libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch. 4. Experience in data manipulation and preprocessing. 5. Ability to simplify complex algorithms. 6. Practical experience in real-world projects. 7. Knowledge of data ethics and privacy.