Requirements
- Minimum education: 12th pass or any graduation (recommended)
- Basic computer knowledge: files, folders, email, internet, MS Office
- Comfort with numbers: basic math (percentages, averages)
- Excel basics: tables, sorting/filtering (advanced Excel can be taught from scratch)
- Logical thinking: ability to solve problems step-by-step
- Communication skills: basic English for reports, meetings, and documentation
- Time commitment: consistent practice (assignments + mini-projects)
- Laptop/PC + stable internet (for online learning)
- No coding required to start (Python/SQL can be beginner-friendly if included in the course)
Features
- Live Project-Based Training
- Expert-Led Sessions
- Flexible Learning Options
- Interactive Learning
- Smart Labs with Advanced Equipment
- Unlimited Lab Access
- Comprehensive Study Material
- Globally Recognized Certification
- One-on-One Mentorship
- Career Readiness
- Job Assistance
Target audiences
- 12th pass students exploring an IT/business career path
- Graduates (any stream): BBA/BCom/BA/BSc/BTech who want job-ready skills
- Freshers aiming for roles like Business Analyst / Data Analyst
- Working professionals (0–8 yrs) who want to upskill for better roles/salary
- Career switchers from sales, support, operations, admin, teaching, etc.
- MBA/PG students who want practical analytics + dashboard skills
- Operations & business teams (HR, finance, supply chain, marketing) who work with reports/KPIs
- Entrepreneurs / startup founders who want data-driven decisions
Business Analytics Course in Gurgaon | Business Analytics Training in Gurgaon
Ascents Learning offers a Business Analytics Course in Gurgaon for learners who want practical skills in data analysis, reporting, business decision-making, and analytics tools used in modern companies. This course is designed to help students understand how raw data is collected, cleaned, analyzed, and presented to support business goals.
The Business Analytics Training in Gurgaon is suitable for students, freshers, working professionals, and career switchers who want to build job-ready skills in Excel, SQL, Power BI, Tableau, Python, statistics, and business reporting. It is useful for people aiming to move into analytics, operations, reporting, MIS, or data-driven business roles.
By the end of the course, learners should be able to work with business datasets, build dashboards, create reports, identify trends, and support business decisions with structured analysis. The focus is on practical application, real-world projects, and career readiness.
Business Analytics Course in Gurgaon
If you are looking for a Business Analytics Course in Gurgaon that balances theory, practical work, and job preparation, Ascents Learning provides structured training built for current industry needs. The program covers core analytics concepts, reporting tools, visualization platforms, and project-based learning so learners can build confidence with real business use cases.
The Business Analytics Training in Gurgaon at Ascents Learning is meant for learners who want more than just tool knowledge. It focuses on how businesses use analytics for decision-making in sales, marketing, finance, operations, customer service, and strategy.
Course Overview
The Business Analytics Course in Gurgaon is a practical training program that helps learners understand how organizations use data to solve business problems. Instead of treating analytics as only a technical skill, this course connects data handling with business thinking.
Learners are introduced to the full analytics workflow, including:
- Data collection and data preparation
- Excel-based analysis and reporting
- SQL for querying business databases
- Data visualization using Power BI and Tableau
- Python basics for analytics workflows
- Statistics for business interpretation
- Dashboard creation and KPI tracking
- Business problem-solving through case studies
This Business Analytics Training in Gurgaon is designed for learners who want to understand both the tools and the business logic behind analytics tasks.
Who Should Enroll
This Business Analytics Course in Gurgaon is suitable for a wide range of learners.
- Students who want to start a career in analytics, reporting, or business intelligence
- Freshers looking for job-ready skills that improve placement opportunities
- Working professionals who want to upskill in reporting, dashboarding, and data-driven decision-making
- Career switchers from non-technical or semi-technical backgrounds who want to move into business analytics roles
- MIS executives who want stronger reporting and visualization skills
- Operations, sales, finance, and marketing professionals who work with data and need better analysis skills
The Business Analytics Training in Gurgaon can also help learners who already use Excel but want to move into SQL, Power BI, Tableau, and analytics-based reporting.
Learning Outcomes
After completing the Business Analytics Course in Gurgaon, learners should be able to:
- Understand the role of business analytics in real business functions
- Work with structured and semi-structured business data
- Clean, filter, organize, and validate data for analysis
- Use Excel functions, formulas, pivot tables, and charts for reporting
- Write SQL queries to extract and analyze data from databases
- Build interactive dashboards in Power BI and Tableau
- Use Python basics for data analysis workflows
- Apply descriptive statistics and basic analytical thinking
- Track KPIs and business metrics across departments
- Present findings in a clear and business-friendly format
- Work on projects that reflect reporting and analytics tasks used in companies
These outcomes make the Business Analytics Training in Gurgaon relevant for both entry-level and upskilling needs.
Teaching Methodology
Ascents Learning follows a practical training approach for its Business Analytics Course in Gurgaon. The goal is to help learners understand how analytics is used in day-to-day business environments rather than just memorizing concepts.
- Instructor-led sessions with guided explanations
- Hands-on practice on analytics tools and datasets
- Real-world case studies from business functions
- Weekly assignments and structured assessments
- Project-based learning with mentor support
- Capstone work to connect multiple skills in one workflow
- Doubt-clearing sessions and trainer guidance
- Resume, portfolio, and interview preparation support
The Business Analytics Training in Gurgaon is structured to help learners move from basic reporting to analytical thinking with steady practice.
Tools & Technologies Covered
The Business Analytics Course in Gurgaon includes commonly used analytics tools and platforms that support reporting, data analysis, and business intelligence work.
- Microsoft Excel for data cleaning, formulas, pivot tables, lookups, charts, dashboards, and reporting
- SQL for database queries, joins, filtering, aggregation, and business data extraction
- Power BI for data modeling, dashboard creation, DAX basics, and interactive reporting
- Tableau for visualization, dashboard design, and business storytelling
- Python for analytics basics, data handling, and simple analysis workflows
- Statistics for mean, median, variance, correlation, trend interpretation, and decision support
- Business Reporting Concepts for KPI tracking, performance measurement, and management reporting
Depending on the batch structure, the Business Analytics Training in Gurgaon may also include exposure to:
- Data visualization principles
- Business problem framing
- Dashboard usability and reporting logic
- Case-based data interpretation
Certification & Industry Recognition
After completing the Business Analytics Course in Gurgaon, learners receive a course completion certification from Ascents Learning. This certification can support job applications, profile building, and skill validation when combined with projects and practical work.
The value of any Business Analytics Training in Gurgaon depends not only on certification but also on hands-on project experience, tool familiarity, and the ability to explain business insights clearly. For that reason, Ascents Learning places strong emphasis on project work, assignments, and portfolio development.
Learners may also strengthen their profile through:
- Capstone project work
- Practical assignments
- Dashboard portfolio development
- Resume and LinkedIn profile support
- Mock interview preparation
Career Opportunities After Completion
A well-structured Business Analytics Course in Gurgaon can help learners prepare for entry-level and mid-level roles where data interpretation, reporting, and business insight are part of the job.
Common roles after completing Business Analytics Training in Gurgaon include:
- Business Analyst
- Junior Business Analyst
- Data Analyst
- MIS Analyst
- Reporting Analyst
- BI Analyst
- Operations Analyst
- Market Research Analyst
- Dashboard Developer
- Excel Reporting Executive
These roles are relevant across industries such as:
- IT and software services
- E-commerce
- Banking and financial services
- Retail
- Healthcare
- Consulting
- Logistics and supply chain
- EdTech and service-based businesses
The Business Analytics Course in Gurgaon is especially useful for learners who want a role where analytical thinking, reporting accuracy, and business understanding matter.
Why Choose Ascents Learning
Ascents Learning offers a Business Analytics Course in Gurgaon with a practical, career-focused structure. The focus is on helping learners build useful skills for actual job roles rather than only covering theory.
- 100% practical hands-on training
- Real-world projects and case-based learning
- Industry-experienced trainers and mentors
- Weekly assignments and assessments
- Small batches for better interaction
- One-to-one doubt support
- Resume, LinkedIn, and interview preparation guidance
- Placement support with dedicated career assistance
- Flexible learning options for students and working professionals
- Online, offline, weekday, and weekend batch options
- Certification and project-based profile building
- Focus on tools companies actually use in analytics and reporting roles
For learners comparing options for Business Analytics Training in Gurgaon, Ascents Learning is suitable for those who want practical exposure, structured support, and a course path aligned with employability.
If you want to build practical reporting, dashboarding, and business decision-making skills, the Business Analytics Course in Gurgaon at Ascents Learning offers a structured path to start or grow your analytics career. Contact Ascents Learning to explore batch options, course structure, and training support.
Call us: +91-921-780-6888
Website: www.ascentslearning.com
Curriculum
- 44 Sections
- 229 Lessons
- 20 Weeks
Expand all sectionsCollapse all sections
- 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
FAQ
The course typically covers Excel, SQL, Power BI, Tableau, Python basics, statistics, dashboard creation, business reporting, KPI tracking, and project work based on real business use cases.
Students, freshers, working professionals, MIS executives, and career switchers can join. The course is suitable for learners who want practical analytics skills for business and reporting roles.
No. A coding background is not required for most beginner-level business analytics programs. Basic computer knowledge and willingness to work with data are usually enough to start.
Yes. It can be a strong option for freshers because it introduces job-relevant tools, business reporting concepts, and project work that can help build an entry-level analytics profile.
Common tools include Microsoft Excel, SQL, Power BI, Tableau, and Python. These are widely used in reporting, analytics, and business intelligence tasks.
Learners may apply for roles such as Business Analyst, Data Analyst, MIS Analyst, Reporting Analyst, BI Analyst, or Operations Analyst, depending on their skills, projects, and prior background.
Yes. Ascents Learning provides a course completion certification. Project work and practical skills also play an important role in strengthening job applications.
Yes. Practical assignments, case studies, and project work are important parts of the learning process because they help learners apply concepts in realistic business scenarios.
Business analytics focuses more directly on business decisions, KPIs, reporting, and performance improvement. Data analytics is a broader field that can include technical, statistical, and predictive analysis across different domains.
Ascents Learning offers practical training, live project exposure, trainer support, career guidance, and placement-focused preparation. The course is designed for learners who want real-world skills with structured mentorship.
