Curriculum
- 44 Sections
- 229 Lessons
- 20 Weeks
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- Module 1: Excel Basics for BeginnersTools Covered: Microsoft Excel (All Versions)8
- 1.1Understanding Excel Interface and RibbonCopyCopyCopy
- 1.2Working with Workbooks, Worksheets, and CellsCopyCopyCopy
- 1.3Entering and Formatting DataCopyCopyCopy
- 1.4Basic Excel Formulas and Functions (SUM, AVERAGE, MIN, MAX)CopyCopyCopy
- 1.5Using AutoFill and Flash FillCopyCopyCopy
- 1.6Basic Formatting (Fonts, Colors, Borders, Cell Styles)CopyCopyCopy
- 1.7Adjusting Rows, Columns, and Cell SizesCopyCopyCopy
- 1.8Basic Excel Shortcuts for EfficiencyCopyCopyCopy
- Module 2: Data Entry, Cleaning, and FormattingTools Covered: Excel Formatting, Data Cleaning Tools6
- 2.1Data Validation (Drop-down Lists, Restrictions)CopyCopyCopy
- 2.2Conditional Formatting for Data HighlightingCopyCopyCopy
- 2.3Text Functions (LEFT, RIGHT, MID, LEN, TRIM, CONCATENATE)CopyCopyCopy
- 2.4Handling Duplicates and Blank CellsCopyCopyCopy
- 2.5Find and Replace, Go To SpecialCopyCopyCopy
- 2.6Sorting and Filtering Data for Better AnalysisCopyCopyCopy
- Module 3: Working with Formulas and FunctionsTools Covered: Excel Formulas, Logical and Lookup Functions5
- 3.1Understanding Relative, Absolute, and Mixed ReferencesCopyCopyCopy
- 3.2Logical Functions (IF, AND, OR, IFERROR, IFS)CopyCopyCopy
- 3.3Lookup and Reference Functions (VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH)CopyCopyCopy
- 3.4Date and Time Functions (TODAY, NOW, DATEDIF, NETWORKDAYS)CopyCopyCopy
- 3.5Text Manipulation with String Functions (TEXT, UPPER, LOWER, PROPER)CopyCopyCopy
- Module 4: Data Visualization with Charts and GraphsTools Covered: Excel Charts and Graphs5
- 4.1Creating and Customizing Charts (Column, Bar, Line, Pie, Area)CopyCopyCopy
- 4.2Advanced Charting (Combo Charts, Waterfall, Funnel, Histogram, Pareto)CopyCopyCopy
- 4.3Data Labels, Titles, and Formatting TechniquesCopyCopyCopy
- 4.4Using Sparklines for Miniature Charts in CellsCopyCopyCopy
- 4.5Dynamic Charts using Named RangesCopyCopyCopy
- Module 5: Data Analysis with Pivot Tables and Pivot ChartsTools Covered: Excel Pivot Tables and Pivot Charts6
- 5.1Introduction to Pivot Tables and Pivot ChartsCopyCopyCopy
- 5.2Creating Pivot Tables for Data AnalysisCopyCopyCopy
- 5.3Using Slicers and Filters in Pivot TablesCopyCopyCopy
- 5.4Summarizing Data with Pivot TablesCopyCopyCopy
- 5.5Creating Pivot Charts for Better InsightsCopyCopyCopy
- 5.6Grouping and Custom Calculations in Pivot TablesCopyCopyCopy
- Module 6: Advanced Excel Functions for Data AnalysisTools Covered: Excel Advanced Formulas and Functions5
- 6.1Advanced Lookup Functions (XLOOKUP, OFFSET, INDIRECT)CopyCopyCopy
- 6.2Array Formulas and Dynamic Arrays (SORT, FILTER, UNIQUE)CopyCopyCopy
- 6.3Advanced Conditional Formatting for Dynamic Data HighlightingCopyCopyCopy
- 6.4Statistical Functions (COUNTIF, AVERAGEIF, SUMIF, RANK, PERCENTILE, QUARTILE)CopyCopyCopy
- 6.5Data Forecasting and Trend AnalysisCopyCopyCopy
- Module 7: Power Query and Power Pivot for Data ModelingTools Covered: Power Query, Power Pivot5
- 7.1Introduction to Power Query for Data Cleaning and TransformationCopyCopyCopy
- 7.2Importing and Transforming Data using Power QueryCopyCopyCopy
- 7.3Introduction to Power Pivot for Data ModelingCopyCopyCopy
- 7.4Creating Relationships and Measures in Power PivotCopyCopyCopy
- 7.5Using DAX Functions for Data Analysis in Power PivotCopyCopyCopy
- Module 8: Working with Large Datasets and Advanced Excel ToolsTools Covered: Excel Data Management5
- 8.1Working with Large Datasets (1M+ Rows) EfficientlyCopyCopyCopy
- 8.2Data Consolidation from Multiple Worksheets/WorkbooksCopyCopyCopy
- 8.3Advanced Filtering and Sorting TechniquesCopyCopyCopy
- 8.4Using What-If Analysis (Goal Seek, Data Tables, Solver)CopyCopyCopy
- 8.5Scenario Manager for Business ForecastingCopyCopyCopy
- Module 9: Excel for Business Intelligence and ReportingTools Covered: Power BI, Excel Dashboards4
- Module 10: Projects and Interview PreparationTools Covered: Excel, Power Query, Power Pivot4
- SQL Course Curriculum – SQL (Basic to Advanced)A structured learning path for mastering SQL for data analysis, from fundamentals to advanced database querying.0
- Module 11: Introduction to Databases and SQLTools Covered: MySQL, Microsoft SQL Server, PostgreSQL5
- 12.1Understanding Databases and Relational Database Management Systems (RDBMS)CopyCopyCopy
- 12.2Difference Between SQL and NoSQL DatabasesCopyCopyCopy
- 12.3Database Architecture and ACID PropertiesCopyCopyCopy
- 12.4Setting Up MySQL / SQL Server / PostgreSQL EnvironmentCopyCopyCopy
- 12.5Introduction to SQL and Its Role in Data AnalysisCopyCopyCopy
- Module 12: SQL Basics – Writing QueriesTools Covered: SQL Query Editor, MySQL Workbench, SSMS6
- 13.1Introduction to SQL Syntax and Data TypesCopyCopyCopy
- 13.2Creating and Managing DatabasesCopyCopyCopy
- 13.3Creating, Modifying, and Deleting TablesCopyCopyCopy
- 13.4Understanding Primary Keys, Foreign Keys, and ConstraintsCopyCopyCopy
- 13.5Inserting, Updating, and Deleting Records (CRUD Operations)CopyCopyCopy
- 13.6Querying Data using SELECT StatementsCopyCopyCopy
- Module 13: Advanced Data Retrieval and FilteringTools Covered: SQL Querying Tools5
- 14.1Using WHERE, ORDER BY, and LIMIT ClausesCopyCopyCopy
- 14.2Applying Logical Operators (AND, OR, NOT)CopyCopyCopy
- 14.3Working with NULL Values and Handling Missing DataCopyCopyCopy
- 14.4Using CASE Statements for Conditional LogicCopyCopyCopy
- 14.5Aliasing Columns and Tables for Better ReadabilityCopyCopyCopy
- Module 14: Aggregations and Grouping DataTools Covered: SQL Functions and Queries4
- Module 15: Working with Joins and RelationshipsTools Covered: SQL Joins and Relationships5
- 16.1Understanding Different Types of Joins (INNER, LEFT, RIGHT, FULL)CopyCopyCopy
- 16.2Self Joins and Cross JoinsCopyCopyCopy
- 16.3Using UNION, UNION ALL, INTERSECT, and EXCEPTCopyCopyCopy
- 16.4Subqueries and Nested Queries for Complex Data RetrievalCopyCopyCopy
- 16.5Common Table Expressions (CTEs)CopyCopyCopy
- Module 16: Advanced SQL for Data AnalysisTools Covered: SQL Advanced Queries5
- 17.1Using String Functions (CONCAT, SUBSTRING, REPLACE, CHARINDEX)CopyCopyCopy
- 17.2Date and Time Functions (NOW, DATEADD, DATEDIFF)CopyCopyCopy
- 17.3Handling Complex Queries using CTEs and Recursive QueriesCopyCopyCopy
- 17.4Pivoting Data for Business Intelligence ReportsCopyCopyCopy
- 17.5Ranking and Analytical FunctionsCopyCopyCopy
- Module 17: SQL Performance Optimization and IndexingTools Covered: SQL Server / MySQL Performance Tools5
- Module 18: SQL for Data Analysis and ReportingTools Covered: SQL Reporting and Visualization4
- Module 19: Real-World Projects and Interview PreparationTools Covered: SQL, Power BI, Excel4
- Power BI Course Curriculum (Beginner to Advanced)A structured approach for mastering Power BI with real-world projects and interview preparation.0
- Module 20: Quick Start with Power BI ServiceTools Covered: Power BI Service, Power BI Desktop6
- 22.1Getting Power BI Tools: Installing and Setting UpCopyCopyCopy
- 22.2Introduction to Power BI Components and TerminologyCopyCopyCopy
- 22.3Creating a Dashboard in Minutes (Hands-on Exercise)CopyCopyCopy
- 22.4Refreshing Data in Power BI ServiceCopyCopyCopy
- 22.5Interacting with Dashboards and ReportsCopyCopyCopy
- 22.6Sharing Dashboards and ReportsCopyCopyCopy
- Module 21: Getting and Transforming Data with Power BI DesktopTools Covered: Power BI Desktop, Power Query Editor6
- 23.1Introduction to Power BI DesktopCopyCopyCopy
- 23.2Getting Data: Excel vs Power BI Desktop and ServiceCopyCopyCopy
- 23.3Understanding Data Structure for Q&ACopyCopyCopy
- 23.4Direct Query vs Import DataCopyCopyCopy
- 23.5Connecting to Multiple Data SourcesCopyCopyCopy
- 23.6Data Cleaning and Transformation using Power QueryCopyCopyCopy
- Module 22: Data Modeling in Power BITools Covered: Power BI Desktop7
- 24.1Introduction to Data ModelingCopyCopyCopy
- 24.2Setting Up and Managing RelationshipsCopyCopyCopy
- 24.3Understanding Cardinality and Cross-FilteringCopyCopyCopy
- 24.4Default Summarization and Sorting OptionsCopyCopyCopy
- 24.5Creating Calculated ColumnsCopyCopyCopy
- 24.6Creating Measures and Quick MeasuresCopyCopyCopy
- 24.7Optimizing Data Models for PerformanceCopyCopyCopy
- Module 23: Data Visualization in Power BITools Covered: Power BI Desktop20
- 25.1Creating Different Types of VisualizationsCopyCopyCopy
- 25.2Formatting and Customizing VisualizationsCopyCopyCopy
- 25.3Setting Sort Order for VisualsCopyCopyCopy
- 25.4Using Scatter and Bubble Charts with Play AxisCopyCopyCopy
- 25.5Tooltips and Interactive ReportsCopyCopyCopy
- 25.6Slicers, Timeline Slicers, and Sync SlicersCopyCopyCopy
- 25.7Cross Filtering and HighlightingCopyCopyCopy
- 25.8Applying Visual, Page, and Report Level FiltersCopyCopyCopy
- 25.9Drill Down and Drill Up FunctionalityCopyCopyCopy
- 25.10Working with HierarchiesCopyCopyCopy
- 25.11Adding Reference and Constant LinesCopyCopyCopy
- 25.12Creating Tables and Matrices with Conditional FormattingCopyCopyCopy
- 25.13Using KPI Indicators, Cards, and GaugesCopyCopyCopy
- 25.14Map VisualizationsCopyCopyCopy
- 25.15Importing and Using Custom VisualsCopyCopyCopy
- 25.16Managing and Arranging Visuals in ReportsCopyCopyCopy
- 25.17Implementing Drill-through for In-depth AnalysisCopyCopyCopy
- 25.18Using Custom Report ThemesCopyCopyCopy
- 25.19Grouping and Binning DataCopyCopyCopy
- 25.20Working with Selection Pane, Bookmarks, and ButtonsCopyCopyCopy
- Module 24: Power BI Service Visualization ToolsTools Covered: Power BI Service5
- Module 25: Publishing and Sharing ReportsTools Covered: Power BI Service, Power BI Desktop13
- 27.1Introduction to Power BI Publishing and Sharing OptionsCopyCopyCopy
- 27.2Overview of Different Sharing MethodsCopyCopyCopy
- 27.3Publishing Reports from Power BI DesktopCopyCopyCopy
- 27.4Publishing Reports to the WebCopyCopyCopy
- 27.5Sharing Dashboards with Power BI ServiceCopyCopyCopy
- 27.6Creating and Managing Workspaces and Apps (Power BI Pro)CopyCopyCopy
- 27.7Using Content Packs (Power BI Pro)CopyCopyCopy
- 27.8Printing or Saving Reports as PDFsCopyCopyCopy
- 27.9Implementing Row-Level Security (Power BI Pro)CopyCopyCopy
- 27.10Exporting Data from VisualizationsCopyCopyCopy
- 27.11Publishing Reports for Mobile ApplicationsCopyCopyCopy
- 27.12Exporting Reports to PowerPointCopyCopyCopy
- 27.13Summary of Sharing OptionsCopyCopyCopy
- Module 26: Data Refresh and Gateway SetupTools Covered: Power BI Service, On-Premises Gateway5
- Module 27: Power BI and Excel IntegrationTools Covered: Power BI Desktop, Power BI Service, Excel5
- 29.1Different Options for Publishing Data from Excel to Power BICopyCopyCopy
- 29.2Pinning Excel Elements to Power BI DashboardsCopyCopyCopy
- 29.3Connecting Excel Data using Power BI Publisher and Analyze in ExcelCopyCopyCopy
- 29.4Publishing Excel Dashboards to Power BICopyCopyCopy
- 29.5Uploading and Exporting Excel Data to Power BICopyCopyCopy
- Module 28: Power BI Projects and Interview PreparationTools Covered: Power BI Desktop, Power BI Service4
- Tableau Mastery (Optional**): Data Visualization and Business Intelligence0
- Module 29: Introduction to Tableau and BI Concepts6
- 32.1Overview of Data Warehousing and Business IntelligenceCopyCopyCopy
- 32.2Fundamentals of Data Analysis and VisualizationCopyCopyCopy
- 32.3Business Reporting and Dashboard EssentialsCopyCopyCopy
- 32.4Introduction to Tableau and Its ArchitectureCopyCopyCopy
- 32.5Understanding Measures vs. DimensionsCopyCopyCopy
- 32.6Continuous vs. Discrete Data, Value & Category AxesCopyCopyCopy
- Module 30: Connecting and Managing Data Sources4
- Module 31: Saving and Publishing Workbooks3
- Module 32: Core Data Visualization Techniques5
- 35.1Creating Worksheets and DashboardsCopyCopyCopy
- 35.2Applying Filters and Customizing Filter ActionsCopyCopyCopy
- 35.3Understanding Row and Column ShelvesCopyCopyCopy
- 35.4Using Marks Cards: Color, Size, Labels, Tooltips, and PathsCopyCopyCopy
- 35.5Working with Sets, Groups, Parameters, and Calculated ColumnsCopyCopyCopy
- Module 33: Creating Effective VisualizationsBuilding Various Chart Types:6
- 36.1Line, Bar, Stacked, and Dual-Axis ChartsCopyCopyCopy
- 36.2Heat Maps, Text Tables, and Highlight TablesCopyCopyCopy
- 36.3Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopyCopy
- 36.4Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopyCopy
- 36.5Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopyCopy
- 36.6Gantt, Bullet, and Packed Bubble ChartsCopyCopyCopy
- Module 34: Advanced Features and Analytics7
- 37.1Designing Interactive DashboardsCopyCopyCopy
- 37.2Forecasting and Trend AnalysisCopyCopyCopy
- 37.3Adding Reference Lines, Bands, and Visual HighlightsCopyCopyCopy
- 37.4Handling Missing Values and Null DataCopyCopyCopy
- 37.5Implementing Table Calculations and TotalsCopyCopyCopy
- 37.6Custom Formatting, Annotations, and Layout AdjustmentsCopyCopyCopy
- 37.7Using Dashboard Actions: Filters and HighlightsCopyCopyCopy
- Module 35: Tableau Server and Collaboration4
- Module 36: Project Work and Interview Preparation3
- Module 37: Requirement Gathering and Process DocumentationTopics Covered:6
- 40.1BRD: Define scope, objectives, stakeholders; write clear needs.CopyCopyCopy
- 40.2FRD: Specify features, workflows; link to BRD.CopyCopyCopy
- 40.3Process Modeling: Use BPMN (tasks, events); create flowcharts.CopyCopyCopy
- 40.4Elicitation: Conduct interviews, prioritize with MoSCoW.CopyCopyCopy
- 40.5Practical Application:CopyCopyCopy
- 40.6Draft BRD/FRD for an order system; model its process with a flowchart.CopyCopyCopy
- Module 38: Agile and Collaboration ToolsTopics Covered:3
- Module 39: Design, Presentation, and AI IntegrationTopics Covered:5
- 42.1Wireframes (Figma): Create basic layouts for business solutions.CopyCopyCopy
- 42.2Presentation (Canva): Design slides to communicate insights.CopyCopyCopy
- 42.3AI Insights/Automation: Use AI tools (e.g., ChatGPT) for drafting or insights.CopyCopyCopy
- 42.4Practical Application:CopyCopyCopy
- 42.5Design a wireframe (Figma) and presentation (Canva) for a BA deliverable; enhance with AI-generated insights.CopyCopyCopy
- Capstone Project5
- 43.1Define a business problem (e.g., customer retention analysis).CopyCopyCopy
- 43.2Extract and analyze data (Excel/SQL).CopyCopyCopy
- 43.3Visualize insights (PowerBI/Tableau).CopyCopyCopy
- 43.4Document requirements (BRD, FRD, process model).CopyCopyCopy
- 43.5Present findings with a focus on stakeholder needs.CopyCopyCopy
- Perks & Benefits5
