to deliver practical, industry-oriented training sessions for students and working professionals. The trainer should have strong knowledge of data analysis, machine learning, and real-world data science applications.
Responsibilities:
Conduct Data Science training sessions (theory + hands-on)
Teach Python for Data Science, statistics, and data analysis
Explain machine learning concepts with practical examples
Guide students on projects, assignments, and case studies
Help learners understand real-world data problems and solutions
Requirements:
Strong knowledge of Data Science concepts
Hands-on experience with Python, NumPy, Pandas, Matplotlib/Seaborn
Knowledge of Machine Learning algorithms
Experience with Jupyter Notebook and real datasets
Good communication and teaching skills
Preferred Qualifications (Optional):
Experience with SQL, Power BI / Tableau
Knowledge of Deep Learning (TensorFlow / PyTorch)
Prior training or teaching experience
Industry experience in Data Science or Analytics
Compensation:
Competitive pay (hourly / per session / monthly - based on experience)
Job Type: Part-time
Pay: ?15,000.00 - ?50,000.00 per month
Expected hours: 7 per week
Work Location: In person
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