Job Role

- Python, Data Science &
- Data Analytics Trainer

- Deliver classroom and practical training in Python, Data Science, and Data Analytics.

- Teach Python programming from fundamentals to advanced concepts.

- Train students in data analysis, data visualization, statistics, and machine learning.

- Develop and deliver industry-oriented course content, practical exercises, assignments, and projects.

- Conduct assessments, coding challenges, quizzes, and practical evaluations.

- Guide students through real-world datasets, case studies, and industry-relevant projects.

- Mentor students in portfolio building, GitHub projects, resume preparation, and technical interview preparation.

- Monitor student performance, attendance, assessments, and overall engagement.

- Keep training content updated according to current industry trends and technologies.

- Collaborate with the academic team to improve curriculum and teaching methodologies.

Key Responsibilities

Training &

- Teaching:

- Deliver engaging and practical training in Python, Data Science, and Data Analytics.

- Explain complex technical concepts in a simple and practical manner.

- Teach students with different levels of technical understanding.

- Conduct hands-on exercises using real-world datasets.

- Use case studies, assignments, projects, quizzes, and coding challenges to support learning.

- Conduct classroom and practical sessions effectively.

Python Training

- Teach Python fundamentals and advanced Python concepts.

- Cover Object-Oriented Programming (OOP).

- Teach functions, modules, and packages.

- Explain exception handling and file handling.

- Train students on Python data structures.

- Teach API integration and working with APIs.

- Use Jupyter Notebook for practical training.

Data Analytics

- Train students in data cleaning and data preprocessing.

- Teach Exploratory Data Analysis (EDA).

- Explain statistical analysis and data interpretation.

- Teach data visualization techniques.

- Develop reporting and dashboarding skills.





- Provide practical training using Excel for data analysis.

- Train students on Power BI and/or Tableau.

Data Science &

- Machine Learning

- Teach Machine Learning fundamentals.

- Explain supervised and unsupervised learning.

- Train students in regression and classification.

- Teach clustering techniques.

- Explain model evaluation methods.

- Cover feature engineering concepts.

- Guide students through practical Machine Learning projects.

Libraries &

- Tools

- NumPy

- Pandas

- Matplotlib

- Seaborn

- Scikit-learn

- Jupyter Notebook / Google Colab

- Excel

- Power BI and/or Tableau

- SQL / MySQL

Student Mentoring &

- Development

- Guide students in developing industry-relevant Data Science and Analytics projects.

- Provide individual doubt resolution and technical support.

- Monitor student performance and provide constructive feedback.

- Assist students with portfolio development and GitHub projects.

- Support resume preparation and interview-oriented technical preparation.

- Encourage practical, project-based learning.

Assessments &

- Reporting

- Design and conduct quizzes, assignments, coding challenges, and assessments.

- Evaluate student projects and provide constructive feedback.

- Maintain attendance and training records.

- Maintain assessment results and student performance reports.

- Participate in academic reviews and curriculum improvement activities.

Required Skills

- Strong knowledge of Python programming.

- Good understanding of Data Analytics and Data Science.

- Knowledge of statistical analysis and data visualization.

- Hands-on experience with NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.

- Knowledge of Machine Learning fundamentals.

- Good knowledge of SQL / MySQL.

- Proficiency in Excel for data analysis.

- Knowledge of Power BI and/or Tableau.

- Strong problem-solving and analytical skills.

- Excellent communication and presentation skills.

- Solid command of spoken and written English.

- Ability to simplify complex technical concepts.

- Strong classroom management and student engagement skills.

- Practical and project-oriented approach to teaching.

📌 IT Trainer - Python , Data Science , Data Analytics (Delhi)
🏢 JobTrade
📍 Delhi