Data Science (Mentor-Led Learning)

The Data Science – Intermediate course is designed for learners who have basic Python knowledge and want to strengthen their programming logic and control flow skills, which are essential for data analysis and data science workflows. This mentor-led program focuses on writing efficient, readable, and structured Python code.

The curriculum covers control structures and program flow in Python, helping learners understand how execution moves through a program. Participants will gain in-depth knowledge of conditional statements in Python, including decision-making logic used in real-world data processing scenarios.

Learners will master loops in Python, enabling them to automate repetitive tasks, iterate through datasets, and apply logic efficiently. The course reinforces concepts through repeated practice of conditional statements and flow control, ensuring strong conceptual clarity and confidence in coding.

Delivered in a mentor-led format, this course emphasizes practical examples, guided exercises, and industry-aligned coding practices. Upon successful completion, learners receive industry-recognized certifications, including participation, industrial training, and internship completion certificates.

This intermediate data science course is ideal for aspiring data scientists, analysts, and professionals looking to build strong Python logic before moving into data manipulation, visualization, and machine learning.