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 Delhi | Business Analytics Training in Delhi
The Business Analytics Course in Delhi at Ascents Learning is a practical, job-oriented training program designed to help learners build skills in data analysis, reporting, business decision-making, and analytics tools used in real work environments. It covers the core areas employers expect in entry-level and mid-level analytics roles, including Excel, SQL, Power BI, Tableau, statistics, dashboarding, and business problem-solving.
This course is suitable for students, freshers, working professionals, and career switchers who want to move into analytics, reporting, operations, business intelligence, or data-driven business roles. It is built for learners who want clear guidance, hands-on practice, and exposure to business use cases rather than only theory.
After completing the Business Analytics Training in Delhi, learners should be able to clean data, analyze trends, build dashboards, prepare reports, and support business decisions using standard analytics tools. The goal is to help learners become job-ready for roles such as Business Analyst, Data Analyst, MIS Analyst, Reporting Analyst, and BI Analyst.
Course Overview
The Business Analytics Course in Delhi is structured to teach how businesses use data to improve performance, reduce inefficiencies, track KPIs, and support strategic decisions. In most companies, business analytics professionals work with sales data, finance data, customer data, operations reports, and performance dashboards. This course is designed around those practical requirements.
At Ascents Learning, the course combines foundational concepts with tool-based implementation. Learners start with data handling and analytical thinking, then move into spreadsheet analysis, SQL querying, reporting, visualization, and business insights. The program also introduces common business metrics, reporting logic, and dashboard design principles used across industries.
This Business Analytics Training in Delhi is useful for candidates who want a clear path into analytics without needing a deep software engineering background. The training focuses on business understanding, structured analysis, and real-world reporting workflows.
Core Focus Areas
- Data analysis fundamentals
- Business problem-solving
- Excel for analytics
- SQL for data extraction
- Data visualization
- Dashboard creation
- KPI tracking and reporting
- Basic statistics for business decisions
- Presentation of insights
- Real-world case studies
Who Should Enroll
The Business Analytics Course in Delhi is designed for a wide mix of learners.
- Students who want to start a career in analytics or business intelligence
- Freshers looking for practical skills that improve employability
- Working professionals in operations, finance, sales, support, or reporting roles
- Career switchers moving from non-technical or semi-technical backgrounds into analytics
- MIS executives who want to upgrade into analyst roles
- Team leads and coordinators who need data reporting and dashboard skills
- Entrepreneurs and business owners who want to understand business performance data better
Helpful Background
- Basic computer knowledge
- Comfort with numbers and spreadsheets
- Interest in data-driven decision-making
- Willingness to work on practical assignments
A technical degree is not mandatory for many learners joining Business Analytics Training in Delhi, especially when the goal is to enter reporting, dashboarding, or business analysis roles.
Learning Outcomes
By the end of the Business Analytics Course in Delhi, learners should be able to work with structured business data and present useful insights in a clear way.
- Understand the role of business analytics in modern organizations
- Collect, organize, and clean raw business data
- Use Microsoft Excel for formulas, functions, lookup operations, pivot tables, charts, and summaries
- Write SQL queries to retrieve and filter business data from databases
- Build dashboards in Power BI and Tableau
- Interpret KPIs, trends, patterns, and outliers
- Apply basic statistical concepts for business reporting
- Convert raw data into management-friendly reports
- Communicate insights using charts, summaries, and dashboards
- Work on business case studies related to sales, finance, customer behavior, and operations
Practical Skill Outcomes
- Report automation basics
- Business presentation of data
- Data storytelling
- Trend analysis
- Performance monitoring
- Decision-support reporting
A good Business Analytics Training in Delhi should not only teach tools. It should help learners understand how businesses ask questions, what kind of reports decision-makers expect, and how analytics supports everyday business operations. That is the focus here.
Teaching Methodology
At Ascents Learning, the training method is built around application rather than passive theory. The course is taught through guided sessions, hands-on exercises, assignments, and project work.
Training Approach
- Instructor-led sessions
- Practical lab work
- Real business examples
- Weekly assignments
- Dashboard practice
- Case-study-based learning
- Project reviews with mentors
- Interview-oriented guidance
How Learning Is Delivered
- Concept explanation in simple language
- Tool demonstrations
- Step-by-step implementation
- Practice datasets for analysis
- Problem-solving tasks based on business scenarios
- Capstone-style project for portfolio use
This structure helps learners understand how a Business Analyst or Data Analyst works in a real company environment. Instead of only learning commands and formulas, learners practice using those tools for business reporting, KPI review, and management insights.
Tools & Technologies Covered
A strong Business Analytics Course in Delhi should cover the tools most commonly seen in business reporting, analytics, and dashboard roles. This course focuses on widely used platforms that are relevant in hiring and practical work.
Main Tools Covered
Microsoft Excel
- Formulas and functions
- IF, COUNTIF, SUMIF
- VLOOKUP, HLOOKUP, XLOOKUP
- Pivot tables
- Charts and dashboards
- Data cleaning and formatting
SQL
- SELECT statements
- WHERE, GROUP BY, ORDER BY
- Joins
- Aggregate functions
- Subqueries
- Data filtering and reporting logic
Power BI
- Data import
- Data transformation
- Data modeling
- DAX basics
- Interactive dashboards
- KPI visualization
Tableau
- Visual analytics
- Filters and parameters
- Charts and dashboards
- Business reporting visuals
Supporting Concepts
- Business statistics
- Data interpretation
- KPI frameworks
- MIS reporting
- Dashboard design
- Business communication
- Data storytelling
Depending on the batch structure, Ascents Learning may also include exposure to project reporting workflows, presentation techniques, and interview-focused problem-solving.
Certification & Industry Recognition
After successful completion of the Business Analytics Training in Delhi, learners receive a course completion certificate from Ascents Learning. The purpose of certification is to validate that the learner has completed structured training in analytics tools, reporting, and business problem-solving.
Certification Value Includes
- Proof of tool-based training
- Support for resume building
- Better presentation of skills during job applications
- Useful addition for fresher and transition profiles
- Stronger profile for analytics, reporting, and BI interview opportunities
Industry relevance comes less from a certificate alone and more from the combination of practical assignments, project work, tool proficiency, business case understanding, and interview readiness.
That is why the Business Analytics Course in Delhi should be evaluated not only by syllabus, but by how effectively it helps learners apply analytics in real business contexts.
Career Opportunities After Completion
Business analytics skills are used across industries such as IT services, e-commerce, finance, retail, healthcare, logistics, telecom, education, and consulting. A learner who completes a practical Business Analytics Course in Delhi can apply for several entry-level and growth-stage roles depending on prior education and experience.
Common Job Roles
- Business Analyst
- Data Analyst
- Reporting Analyst
- MIS Analyst
- BI Analyst
- Operations Analyst
- Sales Analyst
- Excel Analyst
- Dashboard Analyst
- Junior Business Intelligence Executive
Typical Work Responsibilities
- Preparing weekly and monthly business reports
- Tracking sales, operations, or finance KPIs
- Working with Excel sheets and SQL databases
- Building dashboards in Power BI or Tableau
- Supporting management with data-backed decisions
- Analyzing trends and performance metrics
- Creating visual summaries for stakeholders
For freshers, the Business Analytics Training in Delhi can open a path into reporting and analyst roles. For experienced professionals, it can support role upgrades into analytics, business intelligence, or decision-support functions.
Why Choose Ascents Learning
Choosing the right institute matters because analytics is a practical field. Learners need project exposure, clear teaching, and career-oriented support, not just presentation slides.
Why Many Learners Consider Ascents Learning
- Practical hands-on training
- Focus on job-relevant tools
- Real-world assignments and case studies
- Trainer guidance with industry understanding
- Small-batch learning support
- Project-based learning structure
- Interview preparation support
- Resume and profile guidance
- Flexible learning modes
- Career-focused approach
What Makes the Training Useful
- Concepts are explained in simple language
- Sessions are designed for both beginners and working professionals
- Tools are taught with business use cases
- Learners practice reporting, dashboards, and data analysis tasks
- Course structure supports employability, not just completion
At Ascents Learning, the emphasis is on helping learners move from learning to practical execution. For anyone comparing options for Business Analytics Training in Delhi, this applied approach is often more useful than purely theory-based training.
If you are looking for a practical, career-focused Business Analytics Course in Delhi, Ascents Learning offers structured training designed for real business use cases, tool proficiency, and job readiness.
To learn more about the course structure, upcoming batches, learning mode, and enrollment process, call +91-921-780-6888 or visit www.ascentslearning.com.
Curriculum
- 44 Sections
- 229 Lessons
- 20 Weeks
- 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





