Overview

Course Overview:This course is designed to take learners from the basics of Excel to advanced techniques used in data analytics and business decision-making. By the end of the course, participants will be equipped with the skills to organize, analyze, and visualize data effectively.Who is this course for?This course is ideal for· Business professionals,· Data analysts,· School or college students,· Entrepreneurs,· Accountants,· Project managers,· Beginners seeking Excel skills,· Anyone interested in data-driven decision-making,· Individuals aiming to enhance productivity with Excel,· and those looking to automate tasks using VBA.Course SyllabusModule 1: Excel Basics (Beginner Level)Introduction to Excel Interface and BasicsRibbon, workbook, and worksheet navigationCreating, saving, and managing workbooksBasic data entry and formattingBasic Formulas and FunctionsArithmetic operations (+, -, *, /)Introduction to cell referencing (relative, absolute, and mixed)Essential functions: SUM, AVERAGE, MIN, MAX, COUNTData Formatting and ManagementCell formatting: text alignment, borders, colorsConditional formatting basicsWorking with rows, columns, and rangesModule 2: Intermediate Excel for Data ManagementData Organization and CleaningSorting and filtering dataRemoving duplicatesText functions: LEFT, RIGHT, MID, TRIM, CONCATENATEEssential Functions for AnalyticsLogical functions: IF, AND, OR, NOTLookup and reference functions: VLOOKUP, HLOOKUP, INDEX, MATCHWorking with TablesCreating and formatting Excel tablesTable slicers for filteringIntroduction to structured referencesModule 3: Advanced Excel TechniquesData Analysis and VisualizationCreating and customizing charts (line, bar, pie, combo)Pivot Tables and Pivot ChartsGrouping, summarizing, and drilling down in Pivot TablesAdvanced FormulasNested functions (e.g., IF + VLOOKUP)Array formulasText and date functions for advanced scenariosData Validation and ProtectionSetting up data validation rulesProtecting worksheets and workbooksModule 4: Excel for Business and Data AnalyticsData Modelling BasicsUnderstanding data relationshipsUsing Power Query for data cleaning and transformationIntro to Power PivotStatistical Analysis with ExcelDescriptive statistics: mean, median, mode, standard deviationCorrelation and regression analysisUsing Data Analysis ToolPakScenario AnalysisWhat-If Analysis: Goal Seek, Scenario ManagerCreating and analyzing data tablesModule 5: Excel Automation and MacrosIntroduction to MacrosRecording and running macrosModifying recorded macrosIntroduction to VBA for AutomationBasics of VBA syntaxWriting custom functionsAutomating repetitive tasksModule 6: Excel Integration and ReportingData Import and ExportImporting data from CSV, TXT, and databasesExporting Excel data to various formatsDynamic DashboardsDesigning interactive dashboards using slicers, charts, and conditional formattingLinking data for real-time updatesCapstone ProjectData Analytics Business CaseReal-world scenario 1: Analyze sales, finance, or operational dataReal-world scenario 2: Exploratory Data Analysis on Survival datasetCreate a report using Pivot Tables, charts, and dashboardsPresent insights and actionable recommendations

Skills

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