Data Science Course with Real-World Projects (Mentor-Led Learning)

The Data Science Course is a comprehensive, mentor-led training program designed to help learners extract meaningful insights from data using statistics, programming, and data visualization tools. This program focuses on business-driven data analysis, enabling learners to transform raw data into actionable insights that support strategic decision-making.

The course begins with strong fundamentals in Python programming and statistical analysis, followed by hands-on training in data cleaning, data preprocessing, and visualization techniques. Learners work with real datasets to understand patterns, trends, and relationships essential for solving real-world business problems.

In the second month, students gain practical exposure through real-world data science projects and internship-based case studies. This phase emphasizes applied learning, where learners use industry-standard tools and workflows to analyze data, present insights, and build job-ready portfolios under expert mentor guidance.

By the end of the program, learners will be equipped with the skills required to pursue careers in Data Science, Data Analytics, and Business Intelligence, making them competitive in today’s data-driven job market.

This course is ideal for students, graduates, and professionals looking to build a strong foundation in data science and analytics.