ole Overview:
The Data Science Trainer will be responsible for designing and delivering comprehensive training programs to equip learners with essential data science skills. This role involves creating course materials, conducting lectures, and providing hands-on training to students or professionals in data analysis, machine learning, statistical modeling, and other relevant topics.
Responsibilities:
Develop and deliver curriculum for data science training programs.
Conduct classroom and online training sessions covering various data science topics.
Create and update training materials, including presentations, exercises, and assessments.
Provide mentorship and guidance to students, helping them apply concepts in real-world scenarios.
Assess and monitor student progress, offering feedback and support as needed.
Stay up-to-date with industry trends and incorporate new tools, techniques, and methodologies into training.
Skills and Qualifications:
Strong knowledge of data science:Proficient in Python/R, SQL, machine learning algorithms, data visualization tools, and statistical analysis.
Experience in teaching or training:Prior experience in an instructional or training role, preferably in a data science context.
Communication skills:Excellent verbal and written communication skills, with the ability to explain complex concepts clearly.
Hands-on experience:Practical experience in data science projects, with a strong portfolio of work to demonstrate expertise.
Problem-solving skills:Ability to think critically and help students troubleshoot issues during practical exercises.
Adaptability:Ability to adjust teaching methods to suit diverse learning styles and needs.
Preferred Qualifications:
Education:Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
Certifications:Relevant certifications in data science or related areas.
Industry Experience:Professional experience in a data science role is a plus.
Job Type: Part-time
Pay: ₹8,000.00 - ₹12,000.00 per month
Expected hours: 24 per week
Work Location: In person
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