Module 1: Introduction to Data Science & Analytics
What is Data Science & Data Analytics?Understanding the Data EcosystemCareer Scope & Industry ApplicationsOverview of Data Science Tools & TechnologiesSetting up Jupyter Notebook and GitHub
Python Basics: Variables, Loops, Functions, and ListsWorking with Libraries – NumPy, PandasData Structures & OperationsFile Handling and Data Import/ExportHands-on Practice: Python Data Projects
Data Visualization with Matplotlib & SeabornDashboard Creation in Power BI & TableauVisual Storytelling with DataBusiness Insights from Data VisualizationMini Project: Sales Dashboard & KPI Analysis