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

The Data Analysis with Python (IBM) Course is a practical, industry-aligned program designed to train learners in data analysis using Python, with a strong focus on exploratory data analysis (EDA), data visualization, and extracting actionable business insights from real datasets. The course follows industry practices aligned with frameworks and workflows inspired by IBM, ensuring relevance to modern analytics roles.

In the first month of training, learners build a solid foundation in Python data structures, followed by in-depth hands-on training in Pandas and NumPy, the most widely used Python libraries for data analysis. The curriculum emphasizes data cleaning, transformation, and visualization, enabling learners to work confidently with real-world datasets.

The second month is internship-focused, where learners apply their skills to hands-on data projects, create dashboards, and prepare professional analytical reports. This phase is designed to simulate real business scenarios, helping learners understand how data-driven insights support strategic decision-making.

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

• Analyze and process datasets using Python

• Perform exploratory data analysis and visualization

• Use Pandas and NumPy for efficient data handling

• Generate business insights through dashboards and reports

This program is ideal for students, freshers, and professionals aiming to build careers in Data Analytics, Business Insights, and Python-based Analytics Engineering.