Data Science Trainer

    • Deliver engaging classroom and/or online training sessions on topics including:

    • Python for Data Science

    • Data Analytics using Excel and SQL

    • Statistics and Probability

    • Machine Learning and Deep Learning

    • Data Visualization using Power BI / Tableau

    • Create and update course materials, projects, assignments, and quizzes.

    • Provide hands-on training and real-world project guidance.

    • Evaluate student performance, provide constructive feedback, and track progress.

    • Stay updated with the latest trends, tools, and technologies in Data Science.

    • Mentor students during capstone projects and industry case studies.

    • Coordinate with the academic and operations team for batch planning and feedback.

    • Assist with the development of new courses and curriculum as needed.



Requirements

    • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

    • Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.).

    • Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras.

    • Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.

    • Strong communication, presentation, and mentoring skills.

    • Prior teaching/training experience is a strong advantage.

    • Certification in Data Science or Machine Learning (preferred but not mandatory).



See also

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