Data Analysis using Python Long Term Internship

By the end of this program, learners will gain a strong foundation in Python programming, including data types, functions, and libraries essential for analysis. They will acquire practical skills in numerical computing with NumPy and Pandas, enabling efficient data manipulation and wrangling. Participants will learn to visualize data using Matplotlib, Seaborn, Plotly, and advanced tools like Tableau and Excel for reporting and dashboards. The course emphasizes statistical concepts, inferential methods, and hypothesis testing to support data-driven decision-making. Learners will also explore SQL for database analysis and integrate machine learning techniques such as regression, classification, clustering, and recommendation systems. With exposure to NLP, time series modeling, and final projects, students will be prepared to apply data analysis and machine learning to real-world problems across industries.