Module 1: SQL Server TSQL
Module 2: Power BI
Module 3: Python Analytics
Module 4: Advanced Excel
Module 5: Requirements & Workflow
Module 6: Agile & BRD
Business Analyst is a promising job role that deals with Business Operations, Business Life Cycle, Data and Analysis driven over a specific process drive the customers with rich Infographics of entire enterprise content as well as provide life cycle implementation plan.
✅ SQL & Excel for Business Analysis
✅ Real-time On-Job Challenges
✅ Power BI & Tableau Dashboards
✅ BRD/FRD Documentation
✅ Agile & Scrum Methodologies
✅ Process Modeling: UML, BPMN
✅ Data Visualization & Storytelling
✅ Python Basics for Data-Driven Insights
✅ Use Case Scenarios For Job Work
✅ 1:1 Mentorship, Interview Guidance
Module 1 : SQL Server & TSQL Queries
Ch 1: Data Analyst Job Roles
- Introduction to Data
- Business Analyst Job Roles
- Business Analyst Process in Realtime
- Business Analyst Challenges
- Requirements & Project Planning
- Need for understanding Data, Information and Dashboards
Ch 2: Database Intro & Installations
- Database Types (OLTP, DWH, ..)
- DBMS: Basics
- SQL Server 2025 Installations
- SSMS Tool Installation
- Server Connections, Authentications
Ch 3: SQL Basics V1 (Commands)
- Creating Databases (GUI)
- Creating Tables, Columns (GUI)
- SQL Basics (DDL, DML, etc..)
- Creating Databases, Tables
- Data Inserts (GUI, SQL)
- Basic SELECT Queries
Ch 4: SQL Basics V2 (Commands, Operators)
- DDL : Create, Alter, Drop, Add, modify, etc..
- DML: Insert, Update, Delete, select into, etc..
- DQL: Fetch, Insert… Select, etc..
- SQL Operations: LIKE, BETWEEN, IN, etc..
- Special Operators
Ch 5: Data Types
- Integer Data Types
- Character, MAX Data Types
- Decimal & Money Data Types
- Boolean & Binary Data Types
- Date and Time Data Types
- SQL_Variant Type, Variables
Ch 6: Excel Data Imports
- Data Imports with Excel
- SQL Native Client
- Order By: Asc, Desc
- Order By with WHERE
- TOP & OFFSET
- UNION, UNION ALL
Ch 7: Schemas & Batches
- Schemas: Creation, Usage
- Schemas & Table Grouping
- Real-world Banking Database
2 Part, 3 Part & 4 Part Naming
Batch Concept & “Go” Command
Ch 8: Constraints, Keys & RDBMS – Level 1
- Null, Not Null Constraints
- Unique Key Constraint
- Primary Key Constraint
- Foreign Key & References
- Default Constraint & Usage
- DB Diagrams & ER Models
Ch 9: Normal Forms & RDBMS – Level 2
- Normal Forms: 1 NF, 2 NF
- 3 NF, BCNF and 4 NF
- Adding PK to Tables
- Adding FK to Tables
- Cascading Keys
- Self Referencing Keys
- Database Diagrams
Ch 10: Joins & Queries
- Joins: Table Comparisons
- Inner Joins & Matching Data
- Outer Joins: LEFT, RIGHT
- Full Outer Joins & Aliases
- Cross Join & Table Combination
- Joining more than 2 tables
Ch 11: Views & RLS
- Views: Realtime Usage
- Storing SELECT in Views
- DML, SELECT with Views
- RLS: Row Level Security
- WITH CHECK OPTION
- Important System Views
Ch 12: Stored Procedures
- Stored Procedures: Realtime Use
- Parameters Concept with SPs
- Procedures with SELECT
- System Stored Procedures
- Metadata Access with SPs
- SP Recompilations
- Stored Procedures, Tuning
Ch 13: User Defined Functions
- Using Functions in MSSQL
- Scalar Functions in Real-world
- Inline & Multiline Functions
- Parameterized Queries
- Date & Time Functions
- String Functions & Queries
- Aggregated Functions & Usage
Ch 14: Triggers & Automations
- Need for Triggers in Real-world
- DDL & DML Triggers
- For / After Triggers
- Instead Of Triggers
- Memory Tables with Triggers
- Disabling DMLs & Triggers
Ch 15: Transactions & ACID
- Transaction Concepts in OLTP
- Auto Commit Transaction
- Explicit Transactions
- COMMIT, ROLLBACK
- Checkpoint & Logging
- Lock Hints & Query Blockin
- READPAST, LOCKHINT
Ch 16: CTEs & Tuning
- Common Table Expression
- Creating and Using CTEs
- CTEs, In-Memory Processing
- Using CTEs for DML Operations
- Using CTEs for Tuning
- CTEs: Duplicate Row Deletion
Ch 17: Indexes Basics, Tuning
- Indexes & Tuning
- Clustered Index, Primary Key
- Non Clustered Index & Unique
- Creating Indexes Manually
- Composite Keys, Query Optimizer
- Composite Indexes & Usage
Ch 18: Group By Queries
- Group By, Distinct Keywords
- GROUP BY, HAVING
- Cube( ) and Rollup( )
- Sub Totals & Grand Totals
- Grouping( ) & Usage
- Group By with UNION
- Group By with UNION ALL
Ch 19: Joins with Group By
- Joins with Group By
- 3 Table, 4 Table Joins
- Join Queries with Aliases
- Join Queries & WHERE
- Join Queries & Group By
- Joins with Sub Queries
- Query Execution Order
Ch 20: Sub Queries
- Sub Queries Concept
- Sub Queries & Aggregations
- Joins with Sub Queries
- Sub Queries with Aliases
- Sub Queries, Joins, Where
- Correlated Queries
Ch 21: Cursors & Fetch
- Cursors: Realtime Usage
- Local & Global Cursors
- Scroll & Forward Only Cursors
- Static & Dynamic Cursors
- Fetch, Absolute Cursors
Ch 22: Window Functions, CASE
- IIF Function and Usage
- CASE Statement Usage
- Window Functions (Rank)
- Row_Number( )
- Rank( ), DenseRank( )
- Partition By & Order By
Ch 23: Merge(Upsert) & CASE, IIF
- Merge Statement
- Upsert Operations with Merge
- Matched and Not Matched
- IIF & CASE Statements
- Merge Statement inside SPs
- Merge with OLTP & DWH
Module 2 : Power BI
Ch 1: Power BI Intro, Installation
- Power BI & Data Analysis
- 5 Design Tools, 3 Techniques
- 2 Hosting Solutions
- Power BI with Co-Pilot & AI
- Power BI Installation
Ch 2: Report Design Concepts
- Basic Report Design (PBIX)
- Get Data, Canvas (Design)
- Data View, Data Models
- Data Points, Spotlight
- Focus Mode, PDF Exports
Ch 3: Visual Interactions, PBIT
- Visual Interactions & Edits
- Limitations with Visual Edits
- Creating Power BI Templates
- CSV Exports & PBIT Imports
Ch 4: Grouping, Hierarchies
- Creating Groups : Lists
- Creating Groups: Bins
- List Items & Group Edits
- Bin Size & Bin Count
Ch 5: Slicer & Visual Sync
- Slicer Visual in Power BI
- Slicer: Format Options
- Single Select, Multi Select
- Slicer: Select All On / Off
- Visual Sync with Slicers
Ch 6: Hierarchies & Drill-Down
- Hierarchies: Creation, Use
- Hierarchies: Advantages
- Drill Up, Drill Down
- Conditional Drill Down
- Filtered Drill Down, Table View
Ch 7: Filters & Drill Thru
- Power BI Filters
- Basic, Top & Advanced
- Visual Filters, Page Filters
- Report Level Filters, Clear Filter
- Drill Thru Filters & Usage
Ch 8: Bookmarks, Buttons
- Power BI Bookmarks
- Images: Actions, Bookmarks
- Buttons: Actions, Bookmarks
- Page to Page NavigationsScore Cards, Master Pages
Ch 9: SQL DB Access & Big Data
- SQL DB Access, Queries
- Storage Modes: Direct Query
- Formatting & Date Time
- Storage Modes in Power BI
- Azure (Big Data) Access & Formatting
Ch 10: Power BI Visualizations
- Charts, Bars, Lines, Area
- TreeMaps & HeatMaps
- Funnel, Card, Multrow Card
- PieCharts & Waterfall
- Scatter Chart, Play Axis
- Infographics, Classifications
Ch 11: Power Query Introduction
- Power Query (Mashup)
- ETL Transformations in PBI
- Power Query Expressions
- Table Combine Options
- Merge, Union All Options
- Close, Apply & Visualize
Ch 12: Power Query : Table Tfns
- Table Duplicate, Header Promotion
- Group By Transformation
- Aggregate, Pivot Operation
- Reverse Rows, Count Rows
- Advanced Power Query Mode
Ch 13: Power Query: Column Tfn
- Any Column Transformations
- Data Type Detection, Change
- Rename, Replace, Move
- Fill Up, Fil Down
- Step Edits & Rollbacks
Ch 14: Power Query: Text, Date
- String / Text Transformations
- Split, Merge, Extract, Format
- Numeric and Date Time
- Add Column & Expressions
- Expressions and New Columns
- Column From Examples
Ch 15: Power Query: Parameters
- Parameters in Power Query
- Static Parameters, Defaults
- Dynamic Dropdowns, Lists
- Linking with Table Queries
- Step Edits, Type Conversions
Ch 16: Power BI Cloud: Publish
- Power BI Cloud Concepts
- Workspace Creation, Usage
- Report Publish Cloud
- Report Edits in Cloud
- Semantic Models & Usage
Ch 17: Power BI Cloud Dashboards
- Power BI Dashboards
- Dashboard Creation, Usage
- Pin Visuals, Pin LIVE Pages
- Add Image, Video Tiles
- Q&A & Pin Tiles
Ch 18: Power BI Cloud Operations
- Report Shares, Alerts
- Subscriptions, Exploration
- Downloads & Edits
- Report Cloning in Cloud
- QR Codes, Web Publish
- Lineage & Metrics
Ch 19: Power BI Cloud Gateways
- Data Gateways, Data Refresh
- Install, Configure Gateways
- Data Sources Configurations
- Data Refresh & Scheduling
- Gateway Optimizations
Ch 20: Power BI Cloud Apps
- Power BI Apps: Creation
- App Sections & Content
- Audience Options
- App Security & Sharing
- App Updates, Favourites
- App URL, End User Access
Ch 21: Power BI Report Server
- SQL Server 2025 (Mandatory Installations)
- Power BI Report Server
- Report Server Vs Cloud
- Installation, Configuration
- RS Config Tool Options
- Report Database, TempDB
- Web Service & Server URL
Ch 22: Paginated Reports
- Report Builder Tool
- Paginated Report (RDL)
- Report Expressions (RDL)
- Tablix, Chart Wizards
- Fields & Drill-Down
- RDL Report Publish
Ch 23: DAX Concepts (Basics)
- DAX Concepts: Intro & Realtime Need
- DAX Columns: Creation, Use
- DAX Measures: Creation, Use
- DAX Functions: IIF, ISBLANK
- SUM, CALCULATE Functions
- DAX Cheat Sheet
Ch 24: DAX Quick Measures
- Quick Measures in Power BI
- Average & Filters
- Running Totals
- Star Rating Calculations
- DAX Measures in Data View
- DAX in Visuals
- DAX in Cloud Reports
Ch 25: Data Modelling, DAX
- Dimensions Tables
- Fact Tables & DAX Measures
- Data Models & Relations
- DAX Expressions
- Star & Snowflake Schemas
- DAX Joins & Expressions
Ch 26: DAX Joins, Variables
- CALCULATEX & Variables
- COUNT, COUNTA, etc..
- SUM, SUMX, etc..
- SELECTED MEMEBER
- Filter Context, RETRUN
- Dynamic Report with DAX
Ch 27: DAX Time Intelligence
- Need for Time Intelligence
- Date Table Generation
- Time Intelligence with DAX
- PARALLELPERIOD, DATE
- CALENDAR, Total Functions
- YTD, QTD, MTD with DAX
Ch 28: DAX – Row Level Security
- RLS: Row Level Security
- Data Modelling & Roles
- Verify Roles (Testing)
- Add Cloud Users to Roles
- Dynamic Row Level Security
- Testing RLS in Power BI
Ch 29: Analytical Reports
- Analytical Report Concepts
- Excel Data Analytics
- Excel with Power BI Cloud
- SQL, AVRO, JSON Sources
- Analyse in Excel (Cloud)
- Excel Reports to Cloud
Ch 30: Power BI AI, CoPilot
- AI Components in Power BI
- CoPilot Practical Uses
- CoPilot with Desktop
- CoPilot with Cloud
- Need for AI Analytics (Fabric)
- PL 300 Exam (Microsoft Certified Data Analyst) Guidance
- PL 300 Exam Mocks
Realtime Project (ECommerce / Financial Analysis)
Module 3 : Python Analytics
Ch 1: Python Introduction
- Python Introduction
- Python Versions
- Python Job Roles
- Python for Data Analysts
- Python for Data Engineers
- Python for Data Scientists
- Python for Data Science Engineers
Ch 2: Python Architecture
- Python Architecture
- PVM: Python Virtual Machine
- Compiler
- Byte Code
- Execution Process
- Resource Allocations
- Python Implementations
Ch 3: Python Installations
- Python Introduction
- Python Installations
- Anaconda Installation
- Python IDE & Usage
- Jupyter Notebooks
Ch 4: Python Print Statement
- Python Print Statement
- print(), print()
- Testing Case Sensitivity
- Single Line print()
- Multi Line print()
- print() with single quotations
- Debug with AI (AI Assistants)
Ch 5: Python Variables
- Python Variables
- Assigning values
- Purpose & Rules
- Variable Value Reads
- Multiple Variables & Print()
Ch 6: Python Operators
- Athematic *& Multiplier Operators
- Python String Literals
- Single, Double Quotes
- Format Strings (f string)
- Comparison, Indexing Operators
Ch 7: Python Data Types
- Python Data Types
- Integer, Float, String Data Types
- Type Casting
- Type Identification
- Multi Value Assignments
- Python Built-In Classes (data types)
Ch 8: Python Lists
- Creating Python Lists
- Printing List Items
- Print List Slices
- Length & Type
- list() method
- Empty Lists, Append
- Loops, List Updates
Ch 9: Python Dictionaries
- Python Dictionary
- Creating, Indexing Dictionaries
- Edit / Overwrite Key Values
- Lists inside Dictionaries
- Delete & Clear
Ch 10: Python Tuples
- Python Tuples
- Defining, Indexing
- Length(), Type()
- Mixed Values in Tuples
- Overwriting Tuples
- Tuple Class, (( ))
Ch 11: Python IF..ELSE Condition
- If..Else conditions
- if..elif..else & Shorthand if
- composite conditions
- Indent, pass statement
- in & negation operators
- range conditions
Ch 12: Python Loops (For)
- Python For Loop
- For Loop @ Range
- For Loop @ Sequence Values
- Nested Loops
- Loop Control Statements
- Break, Continue, Paas
Ch 13: Python Loops (While)
- While Loop
- Termination Checks (Expressions)
- Variables, Logical Conditions
- Loop Conditions, Operators
- Exit Conditions
- iter() and Looping Options
Ch 14: Python Dataframes
- Dataframes: Creation
- Pandas Dataframes
- Dataframes From Single List
- Dataframes from Dictionary
- Display Dataframes, List Items
- Identify, Replace Nulls, NumPy
Ch 15: Python SQL DB Access
- SQL DB Access with Python
- import pandas.DataFrame
- pyodbc module, sql functions
- SQL DB Cursor Connections
- SQL Query Executions: DDL, DML
- Filters, Aggregations with SQL
- Dataframe Usage with SQL
Ch 16: Dataframe Transformations – 1
- Dataframe Transformations
- Concat & Append
- Merge Function
- Join with Multiple Dataframes
- Indexing Operations
- Data Type Checks, Conversions
- Loops with Dataframes
Ch 17: Dataframe Transformations – 2
- Pandas – Cleaning Data
- Replace, Transform Columns
- Data Discovery & Column Fill
- Identify & Remove Duplicates
- dropna(), fillna() Functions
- Data Plotting & matlib Lib
Ch 18: Python Functions & Lambda
- Python Functions & Usage
- Function Parameters
- Default & List Parameters
- Python Lambda Functions
- Recursive Functions, Usage
- Return & Print @ Lamdba
Ch 19: Python File Handling
- File Handling, Activities
- Loop, Write, Close Files
- Appending, Overwriting
- import os, path.exists
- f.open, f.write
- f.read, f.close
Realtime Case Study (Banking / Finance) For Data Analysis
Module 4: Advanced Excel & Data Analytics
Ch 1: Basic Functions
- SUM, AVERAGE, MAX, MIN, COUNT, COUNTA
- Absolute, Mixed
- Relative Referencing
Ch 2: Formatting and Proofing
- Currency Format
- Format Painter
- Formatting Dates
- Custom and Special Formats
- Formatting Cells
Ch 3: Functions
- SUMIF, SUMIFS, COUNTIF
- COUNTIFS, AVERAGEIF
- AVERAGEIFS, NESTED IF
- IFERROR STATEMENT
- AND, OR, NOT
Ch 4: Protecting Excel
- File Level Protection
- Workbook
- Worksheet Protection
- Security Concepts
- Realtime Issues, Solutions
Ch 5: Text Functions
- Upper, Lower, Proper
- Left, Mid, Right
- Trim, Len, Exact
- Concatenate
- Find, Substitute
Ch 6: Date & Time Functions
- Today, Now
- Day, Month, Year
- Date, Date if, Date Add
- EOMONTH
- Weekday Functions
Ch 7: Adv. Techniques
- Paste Formulas
- Paste Formats
- Paste Validations
- Transpose Tables
Ch 8: New in Excel & 365
- Charts – Tree map & Waterfall
- Sunburst, Box and whisker Charts
- Combo Charts – Secondary Axis
- Adding Slicers Tool in Pivot & Tables
- Using Power Map and Power View
- Forecast Sheet, park lines
Ch 9: New in Excel & 365
- Using 3-D Map
- New Controls in Pivot Table
- Various Time Lines
- Auto complete a data range
- Quick Analysis Tool
- Smart Lookup manage Store
Ch 10: Printing Workbooks
- Setting Up Print Area
- Customizing Headers
- Templates
- Print Titles –Repeat Rows
Ch 11: Sorting and Filtering
- Filtering on Text
- Numbers & Colors
- Sorting Options
- Advanced Filters
- Filter Criteria
Ch 12: What If Analysis
- Goal Seek
- Scenario Analysis
- Data Tables (PMT Function)
- Solver Tool
Ch 13: Logical Functions
- If Function
- How to Fix Errors – if error
- Nested If
- Complex if and or functions
Ch 14: Data Validation
- Number, Date & Time
- Text and List Validation
- Custom validations formulas
- Dynamic Dropdowns
Ch 15: Lookup Functions
- V lookup / H Lookup
- Index and Match
- Smooth User Interface
- Nested V Lookup
- Reverse Lookup
- Worksheet linking
- V lookup with Helper Column
Ch 16: Pivot Tables – 1
- Creating Simple Pivot Tables
- Classic Pivot table
- Choosing Field
- Filtering PivotTables
- Modifying PivotTable Data
- Grouping
- Calculated Fields
Ch 17: Pivot Tables – 2
- Array with IF, LEN
- MID function
- Array with Lookup
- Various Charts
- SLICERS, Filter data
- Manage Primary Axis
- Manage Secondary Axis
Ch 18: Excel Dashboard
- Planning a Dashboard
- Adding Tables and Charts to Dashboard
- Adding Dynamic Contents to Dashboard
Ch 19: VBA Macro – Level 1
- Using Outlook Namespace
- Send automated mail
- Outlook Configurations, MAPI
- Worksheet Operations
- Workbook Operations
Ch 20: VBA Macro – Level 2
- Merge Worksheets using Macro
- Merge multiple excel files into one sheet
- Split worksheets using VBA
- Worksheet copiers
Module 5: Project Requirements & WorkFlow
Ch 1: Project Concepts
- What is a Project
- What is a Product
- SMART Analysis
- Business Analyst In the project Team
- Business Analyst In the Product Team
Ch 2: Project Life Cycles
- Systems Development Life Cycles
- Project Life Cycles
- Product Life Cycles
- Requirement Life Cycles
- Seventh Morning’s Requirements Development Life Cycle
Ch 3: Forming Requirements
- Overview of Requirements
- Attributes of Good Requirements
- Types of Requirements
- Requirement Sources
- Gathering Requirements from Stakeholders
- Common Requirements Documents
Ch 4: Transforming Requirements
- Stakeholder Needs Analysis
- Decomposition Analysis
- Additive/Subtractive Analysis
- Gap Analysis
- Notations (UML & BPMN)
- Flowcharts
- Swim Lane Flowcharts
- Entity-Relationship Diagrams
- State-Transition Diagrams
- Data Flow Diagrams
- Use Case Modelling
- Business Process Modelling
Ch 5: Finalizing Requirements
- Presenting – 10 Tips
- Presenting Requirements
- Socializing Requirements and Gaining Acceptance
- Prioritizing Requirements
Ch 6: Managing Requirements Assets
- Change Control
- Requirements Tools
Ch 7: Project Management Life Cycle
- Traditional Project Management
- Tack your Initiation
- Plan your Task
- Start your Execution Phase
- Monitor and Control
- Get the Signoff
Ch 8: Product Management Life Cycle
- Idea without fail
- Research More
- Do the Analysis
- Implement the solution
- Test the Results
Ch 9: Product Growth Management
- Introduction to the Market
- Define the Growth
- Identify the Maturity
- Decline the product
Module 6: Agile & BRD
Ch 1: Data Storytelling
- Data storytelling
- Chart Types
- Trend Visualisation
- BRD Documentations
- BRD Analysis
- Insights Generation and Dashboard Building
Ch 2: Business Thinking
- Systems thinking
- Understanding Business Models
- KPI trees
- OKRs
Ch 3: Experimentation & A/B testing
- Experiment Design
- Hypothesis Building
- Control groups, sample size
- Interpreting test results: significance vs business impact
Ch 4: Opportunity Sizing & Market Research
- User Segmentation
- Opportunity sizing: TAM, TOM, SOM
- Hypotheses building
- Market research and analysis
Ch 5: Metrics & Analysis
- How to define metrics
- KPIs and KFIs
- Analysis techniques
- Data instrumentation
Ch 6: Descriptive and Inferential statistics
- Z-score
- Central Limit Theorem, p-value
- Hypothesis testing
- Power Analysis
Ch 7: Experimentation & A/B testing
- Experiment Design
- Hypothesis Building
- Control groups, sample size
- Interpreting test results: significance vs business impact
Module 7: End to End Project Work
👉🏻Realtime Project
👉🏻Resume Guidance
👉🏻1:1 mentorship
What is the Business Analyst Training?
This training teaches end-to-end Business Analysis including SQL, Power BI, Python Analytics, Advanced Excel, Requirements Gathering, UML, Agile, BRD, Workflows, and two real-time projects.
Who can join this Business Analyst course?
Anyone — freshers, non-IT learners, working professionals, job seekers, career switchers. The course starts from basics of data, processes, workflows, and analysis.
What is the duration of the Business Analyst Training?
The complete course duration is 3.5 months, including 2 real-time projects, assignments, and weekly mock interviews.
What modules are included in this course?
Do I need any technical background to join?
No. The course begins from scratch with fundamentals of data, business processes, SQL basics, analysis, and dashboards.
What SQL topics will I learn as a Business Analyst?
SQL basics, joins, constraints, keys, ER models, views, stored procedures, functions, triggers, transactions, indexing, CTEs, tuning, window functions, merge, subqueries, and real-time banking datasets.
Does the course include Power BI?
Yes. Report design, visualizations, slicers, filters, hierarchies, bookmarks, cloud publishing, dashboards, data modelling, DAX basics, RLS, gateways, apps, and PL-300 exam guidance.
Will I learn Python for Business Analytics?
Yes. Python basics, lists, dictionaries, loops, DataFrames, Pandas cleaning, transformations, SQL access, merges, joins, plotting, and a real-time analysis project are included.
Does the course include Advanced Excel?
Yes. Functions, formatting, lookups, pivot tables, dashboards, macros, slicers, charts, what-if analysis, forecast tools, data validation, and Excel 365 features.
Do we learn Requirements Gathering in this training?
Yes. Requirement types, stakeholders, sources, attributes of good requirements, requirement lifecycle, decomposition, gap analysis, UML, BPMN, flowcharts, ER diagrams, and swimlane diagrams.
Does this course teach UML and Workflow Modelling?
Yes. UML, BPMN, flowcharts, DFDs, state-transition diagrams, entity-relationship diagrams, and use case modelling are included in Module 5.
Do you cover Agile Methodology and BRD?
Yes. Agile basics, data storytelling, BRD documentation, KPIs, OKRs, experimentation, AB testing, opportunity sizing, and metrics analysis are taught.
Are real-time projects included in the training?
Yes. Two full real-time projects covering SQL, Power BI, Python, Excel, Requirements, Workflows, Agile & BRD are included.
What kind of Business Analyst activities will I learn?
Requirement analysis, gap analysis, stakeholder interactions, work item processing, change control, presenting requirements, prioritizing tasks, and documentation standards.
Will I learn KPIs, OKRs and metrics design?
Yes. You will learn defining KPIs, business KPIs vs process KPIs, metric instrumentation, analysis techniques, and KPI trees.
Does this course include A/B Testing and Experimentation?
Yes. Experiment design, hypothesis building, sample size, control groups, significance testing, and interpreting results are included.
Is the course suitable for complete beginners?
Yes. The course starts from basic concepts of data and business understanding and gradually moves to real-time analytics and BA workflows.
What tools will I become proficient in?
SQL Server, SSMS, Excel, Power BI Desktop, Power BI Cloud, Python Pandas, Jupyter, UML tools, BRD/FRD templates, and Flowcharting tools.
What job roles can I apply for after the training?
Business Analyst, Data Analyst, Reporting Analyst, Power BI Analyst, SQL Analyst, Requirements Analyst, Product Analyst, and MIS Analyst.
What training modes are available?
Live Online Training, Self-Paced Videos, Resume Preparation, Weekly Mock Interviews, Real-Time Project Mentorship, and 1-on-1 Support.
Placement Partners
SQL SCHOOL
24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.
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Why Choose SQL School
- 100% Real-Time and Practical
- ISO 9001:2008 Certified
- Weekly Mock Interviews
- 24/7 LIVE Server Access
- Realtime Project FAQs
- Course Completion Certificate
- Placement Assistance
- Job Support