Data Analytics Legends

Comprehensive Data Analysis Course OutlineTitle: Data Analysis with Python, SQL, Power BI & TableauDuration: 10–12 Weeks (4–6 hours/week)Audience: Aspiring Data Analysts, Business Analysts, Researchers, Graduates, Career SwitchersLearning Mode: Blended (Hands-on + Projects + Assessments)🔹 Module 1: Introduction to Data AnalysisTopics:What is Data Analysis?Roles, tools, and workflow of a data analystIntroduction to structured vs unstructured dataCourse roadmap overviewOutcome: Understand the data analysis landscape and tool relevance.🔹 Module 2: Python for Data Analysis (Weeks 1–3)Topics:Python setup and syntaxData types, variables, operatorsControl flow and functionsNumpy for numerical analysisPandas for data cleaning and manipulationDataFrames: filtering, sorting, mergingExploratory Data Analysis (EDA)Data visualization with Matplotlib and SeabornProject: Analyze a CSV dataset and generate insights (e.g., sales, healthcare, or education dataset)Outcome: Clean, transform, and explore data using Python.🐀𐄹𘁍odule 3: SQL for Data Extraction & Analysis (Weeks 4–5)Topics:Introduction to databases & relational modelsCRUD operations: SELECT, INSERT, UPDATE, DELETEFiltering and sorting dataJoins: INNER, LEFT, RIGHT, FULLGROUP BY, HAVING, aggregation functionsSubqueries and CTEsWindow functions (ROW_NUMBER, RANK, etc.)Exporting SQL results to Excel or CSVProject: Write SQL queries to analyze customer behavior, sales, or performance data from a relational database.Outcome: Query and analyze datasets stored in databases.🔹 Module 4: Power BI for Business Intelligence (Weeks 6–7)Topics:Power BI Desktop vs Power BI ServiceConnecting to data sources (Excel, SQL Server, Web)Power Query Editor for data cleaningData modeling and relationshipsCreating measures and calculated columns with DAXVisualizations: bar, line, map, matrix, slicersDashboards, interactivity, and filtersPublishing and sharing reportsProject: Build a dashboard analyzing sales, inventory, or financial KPIs for a fictional company.Outcome: Create powerful business dashboards with Power BI.🔹 Module 5: Tableau for Visual Analytics (Weeks 8–9)Topics:Tableau Desktop/Public interfaceConnecting to and preparing dataBuilding charts: line, bar, scatter, mapsDimensions vs MeasuresCalculated fields, parameters, and setsFilters and dashboard interactivityPublishing and sharing dashboardsProject: Visualize performance metrics and trends using Tableau dashboards for a business scenario (e.g., product sales or market trends)Outcome: Communicate insights effectively using visual storytelling.🔹 Module 6: Final Capstone Project (Weeks 10–11)Project Scope (choose one domain):Retail Sales & Inventory AnalysisCustomer Segmentation & Retention StrategyHealthcare Trends AnalysisMarketing Campaign PerformanceRequirements:Clean & analyze data using Python & SQLVisualize data using Power BI and TableauCreate a presentation/report showcasing insights and recommendationsOutcome: Demonstrate real-world data analysis skills across the four tools.🔹 Module 7: Portfolio Building & Career Prep (Week 12)Topics:Creating a data analyst portfolioHosting dashboards (Tableau Public, Power BI Service)GitHub for code projectsResume & LinkedIn tips for analystsInterview prep: SQL queries, Python scripts, dashboard walkthroughsOutcome: Get job-ready with a solid portfolio and interview confidence.Add-ons (Optional)Weekly assignments and mini-quizzes per modulePeer review on dashboards and codeCertificate upon course completion