Business Analyst Certification Course with AI & ChatGPT
- Earn Industry-recognized IBM certification
- Build real-time projects with industry-aligned tools
- Live Interactive sessions from industry veterans
- Updated curriculum designed for AI-era
- Boost employability with globally recognized IBM credentials
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Gain industry-ready skills and earn an official certificate from DataFlair and IBM.
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Online Business Analyst Training Course Curriculum
- What is Business Intelligence
- Stages of Business Intelligence
- Use Cases of BI
- What is Power BI?
- Benefits of using Power BI
- Real-world applications of Power BI
- Various BI Tools
- How to download Power BI Desktop
- Step-by-step installation guide
- Initial setup and configuration
Understanding Power BI components
- Desktop, Service, Mobile
- How these components work together
Power BI Desktop UI
- Introduction to Power BI Desktop
- Installation of Power BI Desktop
- Exploring the Power BI Desktop interface
- Overview of key features and tools
- Navigating through different panes and menus
Identify and Connect to a Data Source
- Types of data sources supported by Power BI
- Choosing the right data source for your needs
Get Data from Flat Files and Relational Data Sources
- Importing data from Excel, CSV, and other flat files
- Connecting to databases like SQL Server, MySQL, and more
Introducing the Power Query Editor and Power Query UI
- What is Power Query?
- Introduction to Power Query Editor
- Navigating the Power Query Editor interface
- Basic features and functionalities
Power Query Ribbon and Different Tabs Introduction
- Overview of the Power Query ribbon
- Understanding different tabs and their functions
Enhance the Structure of the Data and Table Structure
- Organizing and structuring your data tables
- Creating relationships between tables
Profile the Data
- Analyzing data quality
- Identifying and handling data issues
Evaluate and Transform Column Data Types
- Changing data types for accuracy
- Ensuring consistency across your data
Change Data Source Settings
- Updating and managing data source connections
- Handling data source changes efficiently
Identify Fact and Dimension Tables
- Understanding the difference between fact and dimension tables
- Organizing your data for better analysis
Define Relationships and Cardinality
- Creating relationships between tables
- Understanding one-to-many and many-to-many relationships
Design a Data Model Using a Star Schema
- Building a star schema for efficient data analysis
- Benefits of using a star schema in Power BI
Data Modelling and DAX
- Introduction to Relationships
- Creating Relationships
- Cardinality
- Cross-filter direction
- Use of inactive relationships
Introduction of DAX
- Why is DAX used?
- DAX syntax
- DAX functions
- Context in DAX
- Measures using DAX
Create Calculated Tables
- Adding new tables using DAX
- Practical examples of calculated tables
- Learning about table, information, logical, text, iterator,
- Time intelligence functions (YTD, QTD, MTD)
Create Calculated Columns
- Creating columns with custom calculations
- Using DAX for dynamic data manipulation
Create Basic Measures Using DAX
- Understanding measures in Power BI
- Writing simple DAX formulas for calculations
- Date and time functions
Difference Between Calculated Columns and Measures
- When to use calculated columns vs. measures
- Best practices for using DAX in your data model
- DAX advanced features
Create Report from Raw Data
- Starting your first Power BI report
- Importing and organizing your data in reports
Add Visualization Items to Reports
- Inserting charts, graphs, and other visuals
- Customizing visual elements for clarity
Choose an Appropriate Visualization Type
- Selecting the right visual for your data
- Understanding different visualization options
Formatting and Configuring Power BI Charts
- Enhancing the look and feel of your charts
- Using formatting tools effectively
Use a Custom Visual and Import Custom Visuals
- Exploring the Power BI marketplace for custom visuals
- How to import and use custom visuals in your reports
Apply and Customize Themes
- Changing the overall theme of your report
- Creating a consistent look and feel
Configure Conditional Formatting
- Highlighting important data points
- Using color rules to emphasize trends
Apply Sorting
- Sorting data to improve readability
- Techniques for effective data sorting
Apply Slicing and Filtering
- Adding slicers for interactive filtering
- Using filters to focus on specific data
Create Hierarchies
- Building data hierarchies for better navigation
- Using hierarchies to drill down into data
Drilldown/Drillup into Data Using Interactive Visuals
- Exploring data at different levels of detail
- Making your visuals interactive and dynamic
AI Visuals – Q & A, Key Influencers, Decomposition Tree, Smart Narratives
- Utilizing AI-powered visuals for deeper insights
- How to implement and use AI visuals in your reports
Publish Reports
- Sharing your reports with others
- Publishing reports to the Power BI service
Create and Configure a Workspace
- Setting up workspaces for collaboration
- Organizing your projects within workspaces
Assign Workspace Roles
- Managing user roles and permissions
- Ensuring secure access to your data
Configure and Update a Workspace App
- Creating apps for easy access to reports and dashboards
- Updating and maintaining workspace apps
Create Dashboard
- Building your first Power BI dashboard
- Adding and arranging visuals on the dashboard
Manage Tiles on a Dashboard
- Customizing tiles for better presentation
- Organizing tiles for optimal layout
Pin a Live Report Page to a Dashboard
- Linking live report data to your dashboard
- Ensuring real-time data updates on your dashboard
- Introduction to GenAI and its integration with Power BI
- Using Power BI Copilot for report generation and data analysis
- Enhancing dashboards with AI-generated summaries and insights
- Automating data storytelling with natural language narratives
- Real-world use cases of GenAI in business intelligence
- Best practices for using GenAI features responsibly
- Introduction to the Role and Value of Business Analysis
- Core Principles and Key Concepts Every Analyst Should Know
- Methods for Assessing Business Problems and Opportunities
- Effective Techniques for Eliciting Clear, Actionable Requirements
- Planning and Monitoring Business Analysis Activities
- Collaborative Techniques for Engaging Stakeholders
- Managing the Entire Requirements Lifecycle Effectively
- Strategic Thinking and Business Needs Alignment
- Breaking Down Requirements and Designing Practical Solutions
- Evaluating Solutions for Performance and Business Value
- Applying Business Analysis in Agile Environments
- Leveraging Business Intelligence for Better Decision-Making
- Aligning Business Goals with IT Capabilities
- Understanding Business Architecture and Enterprise Context
- Introduction to Interface
- Navigating Sheets and Workbooks
- Ribbon in Excel
- Entering and Editing Data
- Basic Formatting: Fonts, Alignment, Number Formats
- Working with Cell Ranges and Selections
- Saving, Sharing and Collaborating
- Understanding Formulas: Operators and Cell References
- Basic Functions: SUM, AVERAGE, COUNT
- Working with Dates and Times
- Introduction to Logical Functions: IF, AND, OR
- Common Text Functions: CONCATENATE, LEFT, RIGHT, MID
- More on Functions: MIN, MAX, MEDIAN
- Array Formulas Basics
- Error Handling in Formulas
- ISNA and IFERROR Function
- Advanced Sheet Operations
- Jumping Between Sheets
- Mastering Multiple Workbooks
- Hiding and Unhiding Rows and Columns
- Freezing Panes and Splitting Screens
- Conditional Formatting: Highlighting Data
- Creating and Applying Cell Styles
- Working with Tables
- Sorting and Filtering Data
- Charts and Graphs: Creating Visualizations
- Customizing Charts: Formatting and Design
- Sparklines: Visual Data in Cells
- Sorting and Filtering Data: Advanced Techniques
- Working with Pivot Tables: Creating Interactive Reports
- Pivot Charts: Visualizing Pivot Table Data
- What-If Analysis: Goal Seek
- Data Tools in Excel
- Data Validation: Ensuring Data Integrity
- Importing and Exporting Data (CSV, Excel, etc.)
- Lookup Functions: VLOOKUP, INDEX, MATCH, XLOOKUP
- Statistical Functions: COUNTIFS, SUMIFS, AVERAGEIFS, STDEVIFS
- Array Formulas: Working with Ranges of Data
- Financial Functions: PMT, NPV, IRR, FV, PV
- Advanced Text Functions: LEN, PROPER, TRIM, FIND, SEARCH
- Working with Dates and Times (Advanced)
- Advanced Logical Functions
- Introduction to Power Query and Data Import
- Data Cleaning and Transformation
- Adding Columns and Combining Data
- Power Query Automation and Web Scraping
- Loading Data and Best Practices
- Power Pivot in Excel
- Introduction to Excel Automation and Macros
- Getting Started with the VBA Editor (Interface)
- VBA Fundamentals: Variables, Data Types
- Working with Objects: Ranges, Worksheets, and Workbooks
- Automating Tasks & User Interaction
- Debugging, Error Handling, & Macro Security
- Analyze Data Feature: Generating Insights and Visualizations
- Ideas Feature: Formula Suggestions, Data Patterns
- Data from Picture: Extracting Data from Images
- Forecasting with Forecast Sheet: Predicting Future Trends
- Keyboard Shortcuts and Productivity Tips
- Optimizing Performance for Large Datasets
- Planning and Designing Dashboards
- Using PivotTables and PivotCharts for Dynamic Data
- Slicers and Timelines for Interactive Filtering
- Creating Interactive Form Controls
- Introduction to SQL
- SQL Prerequisites
- What is SQL
- Purpose of SQL
- MySQL Server Installation
- SQLYog Installation
- Difference Between DBMS and RDBMS
- SQL Database and Database Server
- Comments in SQL
- What are SQL Commands
- SQL DDL Statements
- SQL DDL Statements – Alter and Drop Command
- Practical Implementation of SQL DDL Command
- SQL DML Statements
- SQL DML Statements – Delete and Update Command
- Practical Implementation of SQL DML Command
- SQL TCL Command
- Practical Implementation of TCL Command
- SQL DCL Command
- Practical Implementation of DCL Command
- What are Data Type in SQL
- String Data Type in SQL
- Numerical Data Type in SQL
- Date Data Type in SQL
- Practical Implementation of Date Data Type in SQL
- What are Operators in SQL
- Arithmetic Operator in SQL
- Relational Operator in SQL
- Logical Operator in SQL
- Practical Implementation of Arithmetic, Relational and Logical Operators
- SQL String Operators
- SQL Like and Not Like Command
- Constraints in SQL
- Practical Implementation of Constraints in SQL
- Order by Clause in SQL
- Practical Implementation of Order by Clause
- GROUP BY and HAVING in SQL
- Practical Implementation of GROUP BY and HAVING in SQL
- Like Command in SQL
- Practical Implementation of Like Command in SQL
- Between and In Command in SQL
- Practical Implementation of Between and In Command
- ANY and ALL Operators
- Alias in SQL
- Practical Implementation of Alias in SQL
- What are Joins in SQL
- Practical Implementation of SQL Joins
- Practical Implementatin of Self Join
- Primary Key and Foreign Key Constraint in SQL
- Practical Implementation of Primary Key and Foreign Key Constraint
- Injection in SQL
- Practical Implementation of Injection
- Null Functions
- Check Constraint in SQL
- Practical Implementation of Check Constraint
- Default Constraint in SQL
- Practical Implementation of Default Constraint
- Null Value in SQL
- Practical Implementations of Null Value in SQL
- Auto Increment in SQL
- Practical Implementation of Auto Increment in SQL
- Aggregate Functions in SQL
- Practical Implementation of Aggregate Functions
- String Functions
- Nested Query in SQL
- Practical Implementation of Nested Query
- SQL Window Function
- Practical Implementation of Window Function
- Bulk Insert in SQL
- Backup and Restore in SQL
- SQL Library Management System Project
- SQL Sales Data Analysis Project
- SQL Restaurant Billing System Project
- SQL Patient Record System Project
- SQL Vehicle Service Booking System Project
- SQL Simple Inventory ans Sales System Project
- SQL Movie Rating System Project
- SQL E-commerce Product Refund and Return Analytics System Project
Tools & Technologies
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From Learning to Placement – Enroll in our Live Business Analyst Mastery Batch
Join 1,67,950+ learners enrolled in our Business Analyst Course – Try before you Buy
Benefits:
- ✓ Live Classes with Expert Mentors
- ✓ Practical-based learning
- ✓ Hands-on Projects & Case Studies
- ✓ Dedicated Job Assistance & Resume Building
- ✓ Lifetime Course Access
Benefits:
- ✓ Everything in Live Online Course, plus:
- ✓ Earn Global IBM certificates
- ✓ Professional-level training from IBM
- ✓ Masterclasses from IBM experts
- ✓ IBM-aligned labs for job-ready output
Enroll in Self-paced Business Analyst Course
Key Features:
- ✓ Self-paced Expert-led Course
- ✓ Practical-based Curriculum
- ✓ Full Notes + Study Material
- ✓ Real-world Practicals
- ✓ Assessments to Test Skills
- ✓ Interview Ques of Top MNCs
- ✓ Real-time Live Projects
- ✓ Beginner to Advanced
- ✓ 3 years Access Duration
- ✓ Professional Certificate
Key Features:
- ✓ Everything in “PLUS” plus:
- ✓ Job-Ready Skill Training
- ✓ Live Industry Case Studies
- ✓ 1:1 Expert Counselling
- ✓ Dedicated Job Assistance
- ✓ Resume & Interview Prep
- ✓ Additional live Projects
- ✓ Latest Tools/Tech Covered
- ✓ Lifetime Course Access
- ✓ Learn with ChatGPT & AI
Key Features:
- ✓ Everything in “PRO” plus:
- ✓ Global Certification from IBM
- ✓ IBM-aligned curriculum
- ✓ Industry-grade projects
- ✓ Company-wise Interview Ques
- ✓ Pro-level training from IBM
- ✓ Additional Real-time Projects
- ✓ IBM-aligned labs, job-ready output
- ✓ Masterclasses from IBM experts
- ✓ Enhanced Career Opportunities
Business Analyst Course Objectives
This Business Analyst online course by techVidvan is designed to help you master Business Analysis — even if you come from a non-technical background. The goal is to make you job-ready by teaching the core responsibilities of a Business Analyst through practical tools, real-world examples, and case-based learning.
By the end of this online Business Analyst course, you’ll be able to gather and analyze business requirements, work with data using tools like Excel, SQL, and dashboards, and effectively communicate insights to stakeholders. You will also learn how Business Analysts function across various domains, including IT, banking, healthcare, retail, and telecom, preparing you to apply your skills in any industry.
Why should you learn Business Analysis?
Business Analysis is not only a corporate buzzword nowadays — it’s a skill that helps in executing ideas for business growth. Whether you want to switch careers or to grow in your current role, mastering Business Analysis can be a career booster.
- It’s one of the most demanding roles in various fields like IT, finance, healthcare, and e-commerce
- No coding required — ideal for non-programmers and career switchers
- Enhances your problem-solving, communication, and decision-making skills
- Gives you hands-on knowledge of tools like Excel, SQL, Power BI, and more
- Helps you understand how real businesses operate and make decisions
- Opens the door to job roles like Business Analyst, Product Analyst, and Data Analyst
What is Business Analysis?
Business Analysis is the process of identifying business needs, analyzing problems, and finding solutions that improve processes, products, or services. A Business Analyst acts as the bridge between stakeholders and technical teams, turning vague ideas into clear, actionable plans.
It includes gathering business requirements, analysing large datasets, identifying workflows, and helping businesses make better and brighter decisions. Launching a new product in the market, improving the existing customer experience, or reducing product costs are all tasks undertaken by Business Analysts, ensuring that every decision is made logically, not by guesswork.
What to do before you begin?
TechVidvan Business Analyst course is designed for absolute beginners and non-programmers — no prior technical or coding knowledge is required. If you’re curious about how businesses operate, how decisions are made, and want to build a high-impact career without diving into code, you’re in the right place.
All you need is a willingness to learn, basic computer skills, and a logical mindset. We’ll take care of the rest — from tools to techniques, all explained in simple language.
You’re ready for this course if you:
- Have basic computer and internet usage skills
- Are comfortable using tools like Excel or Google Sheets
- Have good communication and a problem-solving attitude
- Are curious about how businesses make decisions and solve problems
Who should go for this Business Analyst course?
TechVidvan Business Analyst Online course is ideal for anyone looking to step into a high-impact role without needing a technical background. Whether you’re starting fresh, switching careers, or aiming to upskill for better opportunities, Business Analysis offers a clear path forward.
You should take this course if you are:
- A non-programmer wanting to enter the tech/business world
- A graduate or fresher exploring career options in analytics
- A working professional aiming to transition into a business-facing role
- From domains like finance, HR, marketing, or operations and want to add analytical skills
- Preparing for Business Analyst job roles or interviews
- Someone who enjoys solving problems, working with data, and improving processes
By enrolling in our Business Analyst course, you can expect the following benefits:
This Best business analyst online course equips you with the exact skills companies expect from entry-level Business Analysts — without overwhelming you with technical jargon or code. You’ll learn how to gather business requirements, analyze data, create impactful reports, and communicate insights that drive decisions.
By the end of the course, you’ll be confident using industry-relevant tools like Excel, SQL, Power BI, and more. You’ll also understand how Business Analysts work across different domains such as IT, banking, healthcare, and e-commerce — making you ready to step into a professional role with clarity and purpose.
Jobs after Learning this Business Analyst Course
Once you complete TechVidvan Business Analyst course, you’re not just certified—you’re employable.
Here are some of the top job roles you can aim for:
- Machine Learning Engineer: Design, build, and optimize ML models for real-world applications
- Data Scientist: Analyze complex data and extract meaningful business insights using ML
- AI Engineer: Build intelligent systems that mimic human thinking and behavior
- Data Analyst (with ML skills): Perform predictive analysis and automation using ML algorithms
- Research Analyst / Applied Scientist: Conduct experiments and develop models for innovation
- Business Intelligence Developer: Use ML to forecast trends, customer behavior, and decisions
- ML Developer: Create recommendation systems, image classifiers, NLP tools, and more
With companies actively hiring for these roles, your skills will not just be relevant—they’ll be irreplaceable.
Features of Business Analyst Course
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We are a team of trainers who have 20+ years of Industry Experience. They provide project based training and cover real time scenarios during the interactive training sessions.
Contact our Industry Experts & get answers to all your queries.
Business Analyst Online Training FAQs
Yes, absolutely. This online Business Analyst course is designed specifically for non-programmers and beginners. No coding knowledge is required.
You’ll learn widely-used tools like Excel, SQL, Power BI, and requirement gathering frameworks — all essential for a Business Analyst
Yes. This course is job-oriented and covers the core skills, tools, and real-world tasks that companies expect from entry-level Business Analysts.
No prior business knowledge is needed. We start from scratch and also give you exposure to how BAs work across various domains like IT, finance, healthcare, and more.
Definitely. Many Business Analysts come from non-tech backgrounds like teaching, BPO, sales, or finance. This course is perfect for those looking to switch careers into business analysis.
Yes. You’ll receive a certificate upon successful completion, which you can showcase in your resume and LinkedIn profile.
You’ll work on real-world business case studies, requirement documents, data analysis tasks, and dashboards — similar to what you’d do on the job.
Our support team and instructors will guide you through any challenges. You’re not alone — help is just a message away.
Yes, we provide placement support, including resume guidance, mock interviews, and job referrals through our network.
Most learners complete the course in 4–6 weeks with regular study, but you can learn at your own pace based on your schedule.
