Skills for Today, Success for Tomorrow
This hands-on course introduces learners to the complete data analysis process, from understanding raw data to extracting meaningful insights. Students begin by learning the data analysis workflow and build strong foundations in NumPy for numerical operations and Pandas for data manipulation, including reading, cleaning, filtering, and transforming real datasets. The course covers essential statistical concepts, group-based analysis, and practical techniques for handling missing data. Learners then move into data visualization using Matplotlib and Seaborn to communicate findings effectively. The course culminates in Exploratory Data Analysis (EDA) and a mini project, where students apply all skills to analyze a real dataset and present data-driven insights with clarity and confidence.
