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 Ghaziabad | Business Analytics Training in Ghaziabad
The Business Analytics Course in Ghaziabad at Ascents Learning is a career-focused training program that teaches learners how to collect, clean, analyze, and interpret business data for better decision-making. It covers the practical use of analytics tools, reporting methods, data visualization, and business problem-solving in real work settings.
This course is designed for students, freshers, working professionals, and career switchers who want to build job-ready analytics skills. It is suitable for learners who want to move into roles such as Business Analyst, Data Analyst, Reporting Analyst, MIS Executive, or Operations Analyst.
By the end of the program, learners should be able to work with business data, build dashboards, generate reports, identify trends, and support business decisions using industry-relevant tools. The course is structured to help learners build both technical knowledge and practical project experience.
Course Overview
The Business Analytics Training in Ghaziabad at Ascents Learning is built for people who want practical skills, not just theory. Business analytics sits at the intersection of data, business understanding, and decision-making. Companies use it to improve sales, reduce costs, track performance, forecast demand, and solve operational problems.
In this course, learners study the core concepts of business analytics and apply them through hands-on assignments, case studies, and projects. The focus is on how analytics works in actual business environments such as finance, sales, marketing, operations, customer service, and supply chain.
This Business Analytics Course in Ghaziabad usually covers areas such as:
- Data collection and data preparation
- Excel for analysis and reporting
- SQL for querying structured data
- Power BI or Tableau for dashboards
- Statistics for business decisions
- KPI tracking and reporting
- Data visualization and storytelling
- Business problem-solving using analytics
- Project work based on real business scenarios
The course is suitable for learners from technical and non-technical backgrounds, provided they are willing to practice regularly.
Who Should Enroll
This Business Analytics Course in Ghaziabad is a good fit for:
- Students who want to enter analytics, business intelligence, or data-driven job roles
- Freshers looking for a practical skill that improves employability
- Working professionals who want to move into analyst roles
- Career switchers from BPO, finance, sales, operations, support, or admin backgrounds
- MIS professionals who want to upgrade from reporting to analytics
- Team leads and managers who want to make better use of business data
- Entrepreneurs and business owners who want to understand dashboards, KPIs, and trends
You do not need to be a programmer to start. A basic comfort level with numbers, logic, and spreadsheets is helpful, but the course is typically structured in a way that beginners can follow.
Learning Outcomes
After completing the Business Analytics Training in Ghaziabad, learners should be able to:
- Understand the role of business analytics in modern organizations
- Work with structured business data from spreadsheets and databases
- Clean and organize raw data for analysis
- Use Excel for formulas, pivot tables, charts, and reporting
- Write basic to intermediate SQL queries to extract and analyze data
- Build interactive dashboards in Power BI or Tableau
- Apply business metrics such as revenue, margin, churn, conversion rate, and growth rate
- Interpret data trends and present findings clearly
- Use basic statistics for business decisions
- Create business reports that support strategy and operations
- Solve case-based problems using data
- Prepare for job roles related to business analytics and reporting
These outcomes make the Business Analytics Course in Ghaziabad relevant for both entry-level and transitioning professionals.
Teaching Methodology
At Ascents Learning, the teaching approach is built around practical application. The goal is to help learners understand not just what a tool does, but how it is used in a work setting.
Training approach includes:
- Instructor-led sessions
- Hands-on tool practice
- Real-world datasets
- Case study-based learning
- Weekly assignments
- Project work
- Mentor support
- Doubt-clearing sessions
- Interview preparation support
How the course is typically delivered
Concept first, then practice
Topics are explained in simple language and then applied through exercises.
Business use cases
Learners work on examples related to sales reports, customer analysis, operations tracking, financial summaries, and business performance dashboards.
Project-based learning
Projects help learners connect tools with job tasks. This is especially useful for interviews and portfolio building.
Assessment and feedback
Regular assignments and reviews help learners identify gaps and improve accuracy, speed, and presentation skills.
This makes the Business Analytics Training in Ghaziabad more useful for people who want confidence with tools and business problem-solving.
Tools & Technologies Covered
The exact tool stack may vary by batch, but a strong Business Analytics Course in Ghaziabad generally includes the following:
Microsoft Excel
- Data cleaning
- Sorting and filtering
- Formulas and functions
- Lookup functions
- Pivot tables
- Charts and reports
- Dashboard basics
SQL
- SELECT statements
- Filtering and sorting
- Joins
- Aggregations
- Group By
- Subqueries
- Basic reporting queries
Power BI
- Data import and transformation
- Data modeling
- DAX basics
- Dashboard creation
- Interactive reporting
- KPI cards and visual analytics
Tableau
- Data visualization
- Charts and dashboards
- Filters and calculated fields
- Interactive reporting
Statistics for Analytics
- Mean, median, mode
- Percentages and growth rates
- Variance and standard deviation
- Correlation basics
- Trend interpretation
Business Analytics Concepts
- KPI design
- Performance reporting
- Forecasting basics
- Decision support
- Root cause analysis
- Business storytelling with data
Additional exposure in some modules
- CSV and Excel data handling
- Data presentation frameworks
- Business communication for analysts
- Report documentation practices
This combination helps learners build both technical and analytical thinking skills.
Certification & Industry Recognition
On completion of the Business Analytics Course in Ghaziabad, learners typically receive a course completion certificate from Ascents Learning. This can support job applications by showing structured training in analytics tools and business reporting.
Certification matters most when it is backed by practical skill. That is why this course focuses on:
- Tool-based training
- Project work
- Case studies
- Assignments
- Interview readiness
For many employers, the combination of certification, project exposure, dashboard skills, SQL knowledge, and business understanding is more valuable than theory alone.
Learners can use their training, projects, dashboards, and case work to strengthen their resume, LinkedIn profile, and interview discussions.
Career Opportunities After Completion
A well-structured Business Analytics Training in Ghaziabad can prepare learners for a range of entry-level and mid-level roles depending on their prior education and work experience.
Common job roles include:
- Business Analyst
- Data Analyst
- Junior Business Analyst
- Reporting Analyst
- MIS Analyst
- MIS Executive
- Operations Analyst
- Sales Analyst
- Marketing Analyst
- Dashboard Analyst
- Business Intelligence Support Executive
Industries that hire analytics professionals
- IT and software services
- E-commerce
- Banking and finance
- Retail
- Healthcare
- Logistics and supply chain
- Telecom
- Consulting
- EdTech
- Manufacturing
Typical work responsibilities
- Preparing business reports
- Tracking KPIs and trends
- Building dashboards
- Supporting decision-making with data
- Analyzing customer and sales data
- Identifying process gaps
- Presenting performance insights to teams and managers
The Business Analytics Course in Ghaziabad is useful because these roles exist across industries, not just in one domain.
Why Choose Ascents Learning
Ascents Learning focuses on job-oriented, practical training. For learners comparing different institutes, the key difference often comes down to whether the course helps them perform real tasks, not just finish modules.
Why learners choose Ascents Learning
- Practical, hands-on training
- Real-world assignments and projects
- Industry-relevant tools and workflows
- Trainer guidance and doubt support
- Small-batch learning support
- Resume and interview assistance
- Career-focused training approach
- Flexible learning options
- Exposure to real business reporting scenarios
What makes the learning experience useful
Career relevance
The course is structured around the work expected in analyst roles.
Practical tool exposure
Learners practice with tools that are commonly used in reporting and analytics jobs.
Project-based understanding
This helps learners explain their skills clearly during interviews.
Support beyond theory
Training is designed to improve both technical ability and professional readiness.
For anyone looking for a reliable Business Analytics Course in Ghaziabad, Ascents Learning offers a structured path from learning to applied skill development.
If you are looking for a practical and career-focused Business Analytics Course in Ghaziabad, Ascents Learning offers training designed around real business tools, reporting skills, and project-based learning. Connect with the team to understand the course structure, batch options, and how the program aligns with your career goals.
Curriculum
- 44 Sections
- 229 Lessons
- 20 Weeks
- Module 1: Excel Basics for BeginnersTools Covered: Microsoft Excel (All Versions)8
- 1.1Understanding Excel Interface and RibbonCopyCopy
- 1.2Working with Workbooks, Worksheets, and CellsCopyCopy
- 1.3Entering and Formatting DataCopyCopy
- 1.4Basic Excel Formulas and Functions (SUM, AVERAGE, MIN, MAX)CopyCopy
- 1.5Using AutoFill and Flash FillCopyCopy
- 1.6Basic Formatting (Fonts, Colors, Borders, Cell Styles)CopyCopy
- 1.7Adjusting Rows, Columns, and Cell SizesCopyCopy
- 1.8Basic Excel Shortcuts for EfficiencyCopyCopy
- Module 2: Data Entry, Cleaning, and FormattingTools Covered: Excel Formatting, Data Cleaning Tools6
- 2.1Data Validation (Drop-down Lists, Restrictions)CopyCopy
- 2.2Conditional Formatting for Data HighlightingCopyCopy
- 2.3Text Functions (LEFT, RIGHT, MID, LEN, TRIM, CONCATENATE)CopyCopy
- 2.4Handling Duplicates and Blank CellsCopyCopy
- 2.5Find and Replace, Go To SpecialCopyCopy
- 2.6Sorting and Filtering Data for Better AnalysisCopyCopy
- Module 3: Working with Formulas and FunctionsTools Covered: Excel Formulas, Logical and Lookup Functions5
- 3.1Understanding Relative, Absolute, and Mixed ReferencesCopyCopy
- 3.2Logical Functions (IF, AND, OR, IFERROR, IFS)CopyCopy
- 3.3Lookup and Reference Functions (VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH)CopyCopy
- 3.4Date and Time Functions (TODAY, NOW, DATEDIF, NETWORKDAYS)CopyCopy
- 3.5Text Manipulation with String Functions (TEXT, UPPER, LOWER, PROPER)CopyCopy
- Module 4: Data Visualization with Charts and GraphsTools Covered: Excel Charts and Graphs5
- 4.1Creating and Customizing Charts (Column, Bar, Line, Pie, Area)CopyCopy
- 4.2Advanced Charting (Combo Charts, Waterfall, Funnel, Histogram, Pareto)CopyCopy
- 4.3Data Labels, Titles, and Formatting TechniquesCopyCopy
- 4.4Using Sparklines for Miniature Charts in CellsCopyCopy
- 4.5Dynamic Charts using Named RangesCopyCopy
- Module 5: Data Analysis with Pivot Tables and Pivot ChartsTools Covered: Excel Pivot Tables and Pivot Charts6
- 5.1Introduction to Pivot Tables and Pivot ChartsCopyCopy
- 5.2Creating Pivot Tables for Data AnalysisCopyCopy
- 5.3Using Slicers and Filters in Pivot TablesCopyCopy
- 5.4Summarizing Data with Pivot TablesCopyCopy
- 5.5Creating Pivot Charts for Better InsightsCopyCopy
- 5.6Grouping and Custom Calculations in Pivot TablesCopyCopy
- Module 6: Advanced Excel Functions for Data AnalysisTools Covered: Excel Advanced Formulas and Functions5
- 6.1Advanced Lookup Functions (XLOOKUP, OFFSET, INDIRECT)CopyCopy
- 6.2Array Formulas and Dynamic Arrays (SORT, FILTER, UNIQUE)CopyCopy
- 6.3Advanced Conditional Formatting for Dynamic Data HighlightingCopyCopy
- 6.4Statistical Functions (COUNTIF, AVERAGEIF, SUMIF, RANK, PERCENTILE, QUARTILE)CopyCopy
- 6.5Data Forecasting and Trend AnalysisCopyCopy
- Module 7: Power Query and Power Pivot for Data ModelingTools Covered: Power Query, Power Pivot5
- 7.1Introduction to Power Query for Data Cleaning and TransformationCopyCopy
- 7.2Importing and Transforming Data using Power QueryCopyCopy
- 7.3Introduction to Power Pivot for Data ModelingCopyCopy
- 7.4Creating Relationships and Measures in Power PivotCopyCopy
- 7.5Using DAX Functions for Data Analysis in Power PivotCopyCopy
- 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)CopyCopy
- 12.2Difference Between SQL and NoSQL DatabasesCopyCopy
- 12.3Database Architecture and ACID PropertiesCopyCopy
- 12.4Setting Up MySQL / SQL Server / PostgreSQL EnvironmentCopyCopy
- 12.5Introduction to SQL and Its Role in Data AnalysisCopyCopy
- Module 12: SQL Basics – Writing QueriesTools Covered: SQL Query Editor, MySQL Workbench, SSMS6
- 13.1Introduction to SQL Syntax and Data TypesCopyCopy
- 13.2Creating and Managing DatabasesCopyCopy
- 13.3Creating, Modifying, and Deleting TablesCopyCopy
- 13.4Understanding Primary Keys, Foreign Keys, and ConstraintsCopyCopy
- 13.5Inserting, Updating, and Deleting Records (CRUD Operations)CopyCopy
- 13.6Querying Data using SELECT StatementsCopyCopy
- 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
- 17.1Using String Functions (CONCAT, SUBSTRING, REPLACE, CHARINDEX)CopyCopy
- 17.2Date and Time Functions (NOW, DATEADD, DATEDIFF)CopyCopy
- 17.3Handling Complex Queries using CTEs and Recursive QueriesCopyCopy
- 17.4Pivoting Data for Business Intelligence ReportsCopyCopy
- 17.5Ranking and Analytical FunctionsCopyCopy
- 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 UpCopyCopy
- 22.2Introduction to Power BI Components and TerminologyCopyCopy
- 22.3Creating a Dashboard in Minutes (Hands-on Exercise)CopyCopy
- 22.4Refreshing Data in Power BI ServiceCopyCopy
- 22.5Interacting with Dashboards and ReportsCopyCopy
- 22.6Sharing Dashboards and ReportsCopyCopy
- Module 21: Getting and Transforming Data with Power BI DesktopTools Covered: Power BI Desktop, Power Query Editor6
- 23.1Introduction to Power BI DesktopCopyCopy
- 23.2Getting Data: Excel vs Power BI Desktop and ServiceCopyCopy
- 23.3Understanding Data Structure for Q&ACopyCopy
- 23.4Direct Query vs Import DataCopyCopy
- 23.5Connecting to Multiple Data SourcesCopyCopy
- 23.6Data Cleaning and Transformation using Power QueryCopyCopy
- Module 22: Data Modeling in Power BITools Covered: Power BI Desktop7
- 24.1Introduction to Data ModelingCopyCopy
- 24.2Setting Up and Managing RelationshipsCopyCopy
- 24.3Understanding Cardinality and Cross-FilteringCopyCopy
- 24.4Default Summarization and Sorting OptionsCopyCopy
- 24.5Creating Calculated ColumnsCopyCopy
- 24.6Creating Measures and Quick MeasuresCopyCopy
- 24.7Optimizing Data Models for PerformanceCopyCopy
- Module 23: Data Visualization in Power BITools Covered: Power BI Desktop20
- 25.1Creating Different Types of VisualizationsCopyCopy
- 25.2Formatting and Customizing VisualizationsCopyCopy
- 25.3Setting Sort Order for VisualsCopyCopy
- 25.4Using Scatter and Bubble Charts with Play AxisCopyCopy
- 25.5Tooltips and Interactive ReportsCopyCopy
- 25.6Slicers, Timeline Slicers, and Sync SlicersCopyCopy
- 25.7Cross Filtering and HighlightingCopyCopy
- 25.8Applying Visual, Page, and Report Level FiltersCopyCopy
- 25.9Drill Down and Drill Up FunctionalityCopyCopy
- 25.10Working with HierarchiesCopyCopy
- 25.11Adding Reference and Constant LinesCopyCopy
- 25.12Creating Tables and Matrices with Conditional FormattingCopyCopy
- 25.13Using KPI Indicators, Cards, and GaugesCopyCopy
- 25.14Map VisualizationsCopyCopy
- 25.15Importing and Using Custom VisualsCopyCopy
- 25.16Managing and Arranging Visuals in ReportsCopyCopy
- 25.17Implementing Drill-through for In-depth AnalysisCopyCopy
- 25.18Using Custom Report ThemesCopyCopy
- 25.19Grouping and Binning DataCopyCopy
- 25.20Working with Selection Pane, Bookmarks, and ButtonsCopyCopy
- 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 OptionsCopyCopy
- 27.2Overview of Different Sharing MethodsCopyCopy
- 27.3Publishing Reports from Power BI DesktopCopyCopy
- 27.4Publishing Reports to the WebCopyCopy
- 27.5Sharing Dashboards with Power BI ServiceCopyCopy
- 27.6Creating and Managing Workspaces and Apps (Power BI Pro)CopyCopy
- 27.7Using Content Packs (Power BI Pro)CopyCopy
- 27.8Printing or Saving Reports as PDFsCopyCopy
- 27.9Implementing Row-Level Security (Power BI Pro)CopyCopy
- 27.10Exporting Data from VisualizationsCopyCopy
- 27.11Publishing Reports for Mobile ApplicationsCopyCopy
- 27.12Exporting Reports to PowerPointCopyCopy
- 27.13Summary of Sharing OptionsCopyCopy
- 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 BICopyCopy
- 29.2Pinning Excel Elements to Power BI DashboardsCopyCopy
- 29.3Connecting Excel Data using Power BI Publisher and Analyze in ExcelCopyCopy
- 29.4Publishing Excel Dashboards to Power BICopyCopy
- 29.5Uploading and Exporting Excel Data to Power BICopyCopy
- 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 IntelligenceCopyCopy
- 32.2Fundamentals of Data Analysis and VisualizationCopyCopy
- 32.3Business Reporting and Dashboard EssentialsCopyCopy
- 32.4Introduction to Tableau and Its ArchitectureCopyCopy
- 32.5Understanding Measures vs. DimensionsCopyCopy
- 32.6Continuous vs. Discrete Data, Value & Category AxesCopyCopy
- 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 ChartsCopyCopy
- 36.2Heat Maps, Text Tables, and Highlight TablesCopyCopy
- 36.3Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopy
- 36.4Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopy
- 36.5Symbol and Filled Maps, Pie Charts, and TreemapsCopyCopy
- 36.6Gantt, Bullet, and Packed Bubble ChartsCopyCopy
- Module 34: Advanced Features and Analytics7
- 37.1Designing Interactive DashboardsCopyCopy
- 37.2Forecasting and Trend AnalysisCopyCopy
- 37.3Adding Reference Lines, Bands, and Visual HighlightsCopyCopy
- 37.4Handling Missing Values and Null DataCopyCopy
- 37.5Implementing Table Calculations and TotalsCopyCopy
- 37.6Custom Formatting, Annotations, and Layout AdjustmentsCopyCopy
- 37.7Using Dashboard Actions: Filters and HighlightsCopyCopy
- 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.CopyCopy
- 40.2FRD: Specify features, workflows; link to BRD.CopyCopy
- 40.3Process Modeling: Use BPMN (tasks, events); create flowcharts.CopyCopy
- 40.4Elicitation: Conduct interviews, prioritize with MoSCoW.CopyCopy
- 40.5Practical Application:CopyCopy
- 40.6Draft BRD/FRD for an order system; model its process with a flowchart.CopyCopy
- 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.CopyCopy
- 42.2Presentation (Canva): Design slides to communicate insights.CopyCopy
- 42.3AI Insights/Automation: Use AI tools (e.g., ChatGPT) for drafting or insights.CopyCopy
- 42.4Practical Application:CopyCopy
- 42.5Design a wireframe (Figma) and presentation (Canva) for a BA deliverable; enhance with AI-generated insights.CopyCopy
- Capstone Project5
- Perks & Benefits5





