Python for Data Science (IBM) Course with Internship (Mentor-Led Learning)

The Python for Data Science (IBM) Course is a practical, industry-aligned program designed to help learners master Python for data science applications, focusing on data manipulation, analytics workflows, and working with real-world datasets. The curriculum follows industry best practices inspired by IBM, ensuring learners gain job-relevant and future-ready data skills.

In the first month of training, learners develop a strong foundation in data-oriented Python programming, covering essential Python libraries used in data science. The course emphasizes data manipulation, cleaning, transformation, and visualization techniques, enabling learners to handle structured datasets efficiently and extract meaningful insights.

The second month is internship-focused, where learners work on a hands-on analytics project involving real datasets. This phase includes reporting and dashboard creation, helping learners present analytical insights in a business-friendly and decision-oriented format.

By the end of this program, learners will be able to:

• Use Python effectively for data science and analytics tasks

• Manipulate, clean, and analyze real-world datasets

• Build visualizations and analytical dashboards

• Apply analytics workflows used in professional data teams

This course is ideal for students, freshers, and professionals looking to build careers in Python-based Data Science, Analytics, and Data Engineering roles.