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 RibbonCopy
- 1.2Working with Workbooks, Worksheets, and CellsCopy
- 1.3Entering and Formatting DataCopy
- 1.4Basic Excel Formulas and Functions (SUM, AVERAGE, MIN, MAX)Copy
- 1.5Using AutoFill and Flash FillCopy
- 1.6Basic Formatting (Fonts, Colors, Borders, Cell Styles)Copy
- 1.7Adjusting Rows, Columns, and Cell SizesCopy
- 1.8Basic Excel Shortcuts for EfficiencyCopy
- Module 2: Data Entry, Cleaning, and FormattingTools Covered: Excel Formatting, Data Cleaning Tools6
- 2.1Data Validation (Drop-down Lists, Restrictions)Copy
- 2.2Conditional Formatting for Data HighlightingCopy
- 2.3Text Functions (LEFT, RIGHT, MID, LEN, TRIM, CONCATENATE)Copy
- 2.4Handling Duplicates and Blank CellsCopy
- 2.5Find and Replace, Go To SpecialCopy
- 2.6Sorting and Filtering Data for Better AnalysisCopy
- Module 3: Working with Formulas and FunctionsTools Covered: Excel Formulas, Logical and Lookup Functions5
- 3.1Understanding Relative, Absolute, and Mixed ReferencesCopy
- 3.2Logical Functions (IF, AND, OR, IFERROR, IFS)Copy
- 3.3Lookup and Reference Functions (VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH)Copy
- 3.4Date and Time Functions (TODAY, NOW, DATEDIF, NETWORKDAYS)Copy
- 3.5Text Manipulation with String Functions (TEXT, UPPER, LOWER, PROPER)Copy
- Module 4: Data Visualization with Charts and GraphsTools Covered: Excel Charts and Graphs5
- Module 5: Data Analysis with Pivot Tables and Pivot ChartsTools Covered: Excel Pivot Tables and Pivot Charts6
- Module 6: Advanced Excel Functions for Data AnalysisTools Covered: Excel Advanced Formulas and Functions5
- 6.1Advanced Lookup Functions (XLOOKUP, OFFSET, INDIRECT)Copy
- 6.2Array Formulas and Dynamic Arrays (SORT, FILTER, UNIQUE)Copy
- 6.3Advanced Conditional Formatting for Dynamic Data HighlightingCopy
- 6.4Statistical Functions (COUNTIF, AVERAGEIF, SUMIF, RANK, PERCENTILE, QUARTILE)Copy
- 6.5Data Forecasting and Trend AnalysisCopy
- Module 7: Power Query and Power Pivot for Data ModelingTools Covered: Power Query, Power Pivot5
- Module 8: Working with Large Datasets and Advanced Excel ToolsTools Covered: Excel Data Management5
- 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)Copy
- 12.2Difference Between SQL and NoSQL DatabasesCopy
- 12.3Database Architecture and ACID PropertiesCopy
- 12.4Setting Up MySQL / SQL Server / PostgreSQL EnvironmentCopy
- 12.5Introduction to SQL and Its Role in Data AnalysisCopy
- Module 12: SQL Basics – Writing QueriesTools Covered: SQL Query Editor, MySQL Workbench, SSMS6
- 13.1Introduction to SQL Syntax and Data TypesCopy
- 13.2Creating and Managing DatabasesCopy
- 13.3Creating, Modifying, and Deleting TablesCopy
- 13.4Understanding Primary Keys, Foreign Keys, and ConstraintsCopy
- 13.5Inserting, Updating, and Deleting Records (CRUD Operations)Copy
- 13.6Querying Data using SELECT StatementsCopy
- Module 13: Advanced Data Retrieval and FilteringTools Covered: SQL Querying Tools5
- Module 14: Aggregations and Grouping DataTools Covered: SQL Functions and Queries4
- Module 15: Working with Joins and RelationshipsTools Covered: SQL Joins and Relationships5
- Module 16: Advanced SQL for Data AnalysisTools Covered: SQL Advanced Queries5
- 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 UpCopy
- 22.2Introduction to Power BI Components and TerminologyCopy
- 22.3Creating a Dashboard in Minutes (Hands-on Exercise)Copy
- 22.4Refreshing Data in Power BI ServiceCopy
- 22.5Interacting with Dashboards and ReportsCopy
- 22.6Sharing Dashboards and ReportsCopy
- Module 21: Getting and Transforming Data with Power BI DesktopTools Covered: Power BI Desktop, Power Query Editor6
- Module 22: Data Modeling in Power BITools Covered: Power BI Desktop7
- 24.1Introduction to Data ModelingCopy
- 24.2Setting Up and Managing RelationshipsCopy
- 24.3Understanding Cardinality and Cross-FilteringCopy
- 24.4Default Summarization and Sorting OptionsCopy
- 24.5Creating Calculated ColumnsCopy
- 24.6Creating Measures and Quick MeasuresCopy
- 24.7Optimizing Data Models for PerformanceCopy
- Module 23: Data Visualization in Power BITools Covered: Power BI Desktop20
- 25.1Creating Different Types of VisualizationsCopy
- 25.2Formatting and Customizing VisualizationsCopy
- 25.3Setting Sort Order for VisualsCopy
- 25.4Using Scatter and Bubble Charts with Play AxisCopy
- 25.5Tooltips and Interactive ReportsCopy
- 25.6Slicers, Timeline Slicers, and Sync SlicersCopy
- 25.7Cross Filtering and HighlightingCopy
- 25.8Applying Visual, Page, and Report Level FiltersCopy
- 25.9Drill Down and Drill Up FunctionalityCopy
- 25.10Working with HierarchiesCopy
- 25.11Adding Reference and Constant LinesCopy
- 25.12Creating Tables and Matrices with Conditional FormattingCopy
- 25.13Using KPI Indicators, Cards, and GaugesCopy
- 25.14Map VisualizationsCopy
- 25.15Importing and Using Custom VisualsCopy
- 25.16Managing and Arranging Visuals in ReportsCopy
- 25.17Implementing Drill-through for In-depth AnalysisCopy
- 25.18Using Custom Report ThemesCopy
- 25.19Grouping and Binning DataCopy
- 25.20Working with Selection Pane, Bookmarks, and ButtonsCopy
- 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 OptionsCopy
- 27.2Overview of Different Sharing MethodsCopy
- 27.3Publishing Reports from Power BI DesktopCopy
- 27.4Publishing Reports to the WebCopy
- 27.5Sharing Dashboards with Power BI ServiceCopy
- 27.6Creating and Managing Workspaces and Apps (Power BI Pro)Copy
- 27.7Using Content Packs (Power BI Pro)Copy
- 27.8Printing or Saving Reports as PDFsCopy
- 27.9Implementing Row-Level Security (Power BI Pro)Copy
- 27.10Exporting Data from VisualizationsCopy
- 27.11Publishing Reports for Mobile ApplicationsCopy
- 27.12Exporting Reports to PowerPointCopy
- 27.13Summary of Sharing OptionsCopy
- 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
- 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 IntelligenceCopy
- 32.2Fundamentals of Data Analysis and VisualizationCopy
- 32.3Business Reporting and Dashboard EssentialsCopy
- 32.4Introduction to Tableau and Its ArchitectureCopy
- 32.5Understanding Measures vs. DimensionsCopy
- 32.6Continuous vs. Discrete Data, Value & Category AxesCopy
- Module 30: Connecting and Managing Data Sources4
- Module 31: Saving and Publishing Workbooks3
- Module 32: Core Data Visualization Techniques5
- Module 33: Creating Effective VisualizationsBuilding Various Chart Types:6
- 36.1Line, Bar, Stacked, and Dual-Axis ChartsCopy
- 36.2Heat Maps, Text Tables, and Highlight TablesCopy
- 36.3Symbol and Filled Maps, Pie Charts, and TreemapsCopy
- 36.4Symbol and Filled Maps, Pie Charts, and TreemapsCopy
- 36.5Symbol and Filled Maps, Pie Charts, and TreemapsCopy
- 36.6Gantt, Bullet, and Packed Bubble ChartsCopy
- Module 34: Advanced Features and Analytics7
- 37.1Designing Interactive DashboardsCopy
- 37.2Forecasting and Trend AnalysisCopy
- 37.3Adding Reference Lines, Bands, and Visual HighlightsCopy
- 37.4Handling Missing Values and Null DataCopy
- 37.5Implementing Table Calculations and TotalsCopy
- 37.6Custom Formatting, Annotations, and Layout AdjustmentsCopy
- 37.7Using Dashboard Actions: Filters and HighlightsCopy
- 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.Copy
- 40.2FRD: Specify features, workflows; link to BRD.Copy
- 40.3Process Modeling: Use BPMN (tasks, events); create flowcharts.Copy
- 40.4Elicitation: Conduct interviews, prioritize with MoSCoW.Copy
- 40.5Practical Application:Copy
- 40.6Draft BRD/FRD for an order system; model its process with a flowchart.Copy
- 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.Copy
- 42.2Presentation (Canva): Design slides to communicate insights.Copy
- 42.3AI Insights/Automation: Use AI tools (e.g., ChatGPT) for drafting or insights.Copy
- 42.4Practical Application:Copy
- 42.5Design a wireframe (Figma) and presentation (Canva) for a BA deliverable; enhance with AI-generated insights.Copy
- Capstone Project5
- Perks & Benefits5
