Data Science (Professional Learning)

The Data Science – Advanced course is a professional, industry-oriented program designed for learners who want to master advanced Python programming and data handling techniques required in real-world data science roles. This course focuses on writing scalable code, managing data efficiently, and working with databases used in enterprise environments.

The curriculum covers Objects and Classes in Python, enabling learners to understand Object-Oriented Programming (OOP) concepts such as encapsulation, inheritance, and modular design. Participants will gain hands-on experience with file handling, learning how to read, write, and manage structured and unstructured data efficiently.

Learners will master exception handling in Python, allowing them to build robust, error-resistant applications. The course also introduces Python packages, helping learners understand how to use and manage external libraries essential for data science workflows.

A key component of this advanced course is SQL, where learners gain practical knowledge of database querying, data extraction, and integration of SQL with Python for analytical tasks. These skills are critical for working with large datasets in production environments.

Delivered in a professional, mentor-led format, the course emphasizes real-world scenarios, clean coding practices, and industry-aligned projects. Upon successful completion, learners receive globally recognized certifications, including a Certification from Microsoft, along with participation, industrial training, and internship completion certificates.

This advanced data science course is ideal for data analysts, aspiring data scientists, software professionals, and individuals aiming for senior technical roles in data-driven organizations.