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Data Science + Python Faculty

Kuala, India

The job description of Data Science+ Python Trainer is as follows:

  • Deliver interactive online classes on Data Science and Python, covering essential concepts, techniques, and tools.
  • Mentor and guide students in understanding Python programming, machine learning, data analysis, and visualization.
  • Develop a positive learning environment that encourages student participation, engagement, and confidence in handling data science projects.
  • Design and structure course materials, including slides, assignments, coding exercises, and project guidelines.
  • Keep course content up-to-date with the latest industry trends, practices, and tools in data science and Python.
  • Adapt teaching methodologies to various student learning styles, ensuring effective understanding of complex topics.
  • Supervise students’ hands-on projects, providing direction, feedback, and support in coding, problem-solving, and analytical thinking.
  • Create real-world data science projects that simulate industry challenges, encouraging practical applications of theory.
  • Track student performance and progress, and assist in identifying areas for improvement.
  • Assist students in troubleshooting coding issues and resolving programming challenges in Python.
  • Provide support and resources to help students build proficiency in data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn).
  • Stay updated on advancements in data science, machine learning, and Python to provide students with current insights.
  • Participate in training sessions, workshops, or webinars to enhance teaching techniques and technical knowledge.
  • Passion for teaching and empowering students to achieve their career goals.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and manage time effectively in a remote work environment.

Job Type: Full-time

Pay: ₹15,000.00 - ₹25,000.00 per month

Benefits:

  • Paid sick time

Experience:

  • total work: 1 year (Required)

Work Location: In person

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