Roles and Responsibilities1. Training & Instruction
Deliver qualified training in Data Science concepts, tools, and technologies.
Teach subjects including:
Python Programming for Data Science
Data Analysis and Data Visualization
Statistics and Probability
Machine Learning Fundamentals
Supervised and Unsupervised Learning
Deep Learning Basics
Data Preprocessing and Feature Engineering
Model Evaluation Techniques
Conduct both theoretical sessions and practical hands-on training.
Software & Tools Training

Train students in industry-standard tools and platforms such as:
Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn)
Jupyter Notebook / Google Colab
SQL and Database Management
Excel for Data Analysis
Power BI / Tableau for Data Visualization
Basic AI tools and frameworks (if applicable)
Curriculum Delivery
Follow the institute’s approved syllabus and academic structure.
Prepare lesson plans, coding exercises, assignments, and practical activities.




Update course materials according to the latest industry trends and technologies.
Simplify complex data science concepts for students with different learning abilities.
Practical Projects & Portfolio Development
Guide students in developing real-world projects such as:
Predictive analytics models
Customer segmentation projects
Sales and business analysis dashboards
Recommendation systems
Data-driven decision-making applications
Help students create solid portfolios and project documentation.
Student Assessment & Evaluation
Conduct coding tests, quizzes, assignments, and project evaluations.
Monitor student progress and provide constructive feedback.
Identify students who need additional support and provide mentoring.
Career & Placement Support
Prepare students for job roles such as:
Data Analyst
Data Scientist
Machine Learning Associate
Business Intelligence Analyst
Support students with:
Resume preparation
Portfolio

📌 Data Science And Data Analyticstrainer Kozhikode
🏢 Softroniics
📍 Kozhikode