Tuesday, September 30, 2025

Advanced Excel Institute -Excel | Power BI | Tableau & SQL Training in Chandigarh | 9988113578

 

 Advanced Excel Institute -Excel | Power BI | Tableau & SQL Training in Chandigarh






Tally ,Busy,GST,Advance Excel,Course in Chandigarh | 9988113578

Course Content

Module 1: Excel Foundations & Data Handling

  • 1. Getting Started with Excel
  • Navigating the Excel interface: ribbons, tabs, and quick access toolbar
  • Understanding the difference between workbooks and worksheets
  • Opening, saving, and managing Excel files efficiently
  • Customizing the Excel environment for better productivity
  • 2. Working with Data Entry
  • Entering and editing data accurately
  • Using keyboard shortcuts for faster work
  • Understanding data types: numbers, text, dates, and currency
  • Preventing common mistakes in data entry
  • 3. Formatting for Clarity
  • Applying number formats, date formats, and custom formats
  • Adjusting column widths, row heights, and alignment for readability
  • Using cell styles for consistency
  • Adding borders, shading, and themes for professional-looking sheets
  • 4. Formulas & Basic Functions
  • Understanding the formula bar and how Excel calculates
  • Using basic arithmetic formulas (+, –, *, /)
  • Introduction to common functions: SUM, AVERAGE, MIN, MAX, COUNT
  • Understanding cell references (relative, absolute, mixed) and when to use them
  • 5. Organizing & Structuring Data
  • Sorting data alphabetically, numerically, and by custom order
  • Filtering data to find exactly what you need
  • Freezing panes and splitting windows for large datasets
  • Grouping and outlining rows or columns for better navigation
  • 6. Data Cleaning Essentials
  • Removing duplicates and fixing empty cells
  • Trimming extra spaces and correcting inconsistent text
  • Handling errors like #DIV/0! and #N/A
  • Converting text to numbers or dates
  • 7. Introduction to Data Validation
  • Creating drop-down lists for consistent data entry
  • Setting rules for acceptable inputs
  • Preventing invalid entries with custom messages

Module 2: Advanced Excel for Data Analysis

  • 1. Logical Functions for Smarter Decisions
  • Understanding the IF function for simple decision-making
  • Combining multiple conditions with AND & OR
  • Writing nested IFs for multi-step logic
  • Real-world examples: pass/fail results, sales commission calculation, and project status flags
  • 2. Lookup Functions to Find Data Quickly
  • Mastering VLOOKUP for vertical data searches
  • Using HLOOKUP for horizontal data searches
  • Introducing XLOOKUP for faster, more flexible lookups
  • Handling errors with IFERROR in lookups
  • Practical examples: pulling product prices, matching employee IDs, retrieving customer details
  • 3. Text Functions for Data Cleaning & Manipulation
  • Extracting specific text with LEFT, RIGHT, and MID
  • Finding text positions with FIND and SEARCH
  • Combining text with CONCATENATE and TEXTJOIN
  • Cleaning messy data with TRIM, PROPER, UPPER, LOWER
  • Real-world uses: cleaning customer names, splitting codes, formatting phone numbers
  • 4. Date & Time Functions for Reporting
  • Understanding Excel’s date and time system
  • Calculating differences with DATEDIF and NETWORKDAYS
  • Extracting day, month, and year from a date
  • Creating dynamic reports with TODAY and NOW
  • Practical examples: project deadlines, employee age, workdays between two dates
  • 5. Named Ranges & Dynamic Formulas
  • Creating and managing named ranges for easier formulas
  • Making formulas dynamic with OFFSET and INDEX
  • Using structured references in tables
  • Real-world use: updating reports automatically when new data is added
  • 6. Conditional Formatting for Instant Insights
  • Applying color scales, data bars, and icon sets
  • Creating custom rules for highlighting important data
  • Using formulas in conditional formatting for advanced logic
  • Examples: highlighting top performers, overdue tasks, and sales below target
  • 7. Working with Tables for Structured Data Management
  • Converting data into Excel tables for better organization
  • Understanding table features like auto-fill and structured references
  • Sorting, filtering, and applying slicers to tables
  • Benefits for automation and Power Query integration

Module 3: Data Analysis Tools in Excel

  • 1. PivotTables – The Heart of Data Analysis
  • Understanding what PivotTables are and why they’re powerful
  • Creating PivotTables from raw data
  • Rearranging (pivoting) fields to view data from different angles
  • Summarizing data with counts, sums, averages, and percentages
  • Grouping data by dates, numbers, or categories
  • Real-world uses: monthly sales summaries, employee performance reports, expense tracking
  • 2. PivotCharts – Visualizing Your Analysis
  • Converting PivotTables into interactive charts
  • Choosing the right chart type for your data
  • Formatting PivotCharts for clarity and impact
  • Updating charts automatically when PivotTables change
  • 3. Grouping, Filtering & Slicers for Interactive Insights
  • Grouping data by months, quarters, or custom categories
  • Using filters to focus on relevant information
  • Adding slicers for quick, visual filtering of PivotTables and PivotCharts
  • Practical examples: region-based sales filters, department-wise HR reports
  • 4. Data Validation & Drop-Down Lists
  • Creating drop-down menus for consistent data entry
  • Restricting inputs to specific ranges or formats
  • Custom error messages to guide users
  • Real-world use: product selection lists, employee role assignment, category tagging
  • 5. What-If Analysis – Testing Different Scenarios
  • Using Goal Seek to find the value needed to reach a target
  • Exploring different possibilities with Scenario Manager
  • Understanding Data Tables for quick “what-if” calculations
  • Examples: pricing adjustments, budget forecasts, and target planning
  • 6. Quick Analysis Tools
  • Using the Quick Analysis button for instant formatting, charts, and totals
  • Spotting trends and summaries in just a few clicks
  • When and why to use Quick Analysis over manual setup

Module 4: Power Query in Excel

  • 1. Introduction to Power Query
  • What Power Query is and why it’s important for data analysis
  • The difference between Power Query in Excel and Power Query in Power BI
  • Navigating the Power Query Editor interface
  • Understanding the concept of query steps and applied transformations
  • 2. Connecting to Multiple Data Sources
  • Importing data from Excel files, CSV, text, and XML
  • Connecting to databases such as SQL Server, Access, and MySQL
  • Pulling data from online sources and web pages
  • Combining data from multiple files in a folder into one dataset
  • 3. Basic Data Cleaning Techniques
  • Removing unwanted rows, columns, and blank records
  • Renaming columns for clarity and consistency
  • Changing data types (text, number, date, currency)
  • Sorting and filtering data inside Power Query
  • 4. Advanced Data Transformation
  • Splitting columns by delimiter or character position
  • Merging multiple columns into one
  • Extracting specific portions of text (e.g., first name from full name)
  • Trimming spaces and fixing inconsistent text entries
  • Replacing values across datasets
  • 5. Combining & Merging Data
  • Appending queries to stack datasets vertically
  • Merging queries to combine datasets horizontally based on a key column
  • Understanding join types: inner join, left join, right join, full outer join
  • Practical uses: combining monthly sales files, merging customer lists with transaction data
  • 6. Adding Calculated Columns & Custom Logic
  • Creating custom columns with formulas in Power Query
  • Adding conditional columns for automated categorization
  • Real examples: calculating discounts, grouping customers by spend level
  • 7. Automating Data Refresh & Loading Options
  • Setting up refresh so reports update with one click
  • Understanding data load options (load to table, load to PivotTable, connection only)
  • Best practices for maintaining a clean and efficient Power Query workflow

Module 5: Introduction to Power BI

  • 1. Understanding Power BI
  • What Power BI is and how it fits into modern data analytics
  • Key components: Power BI Desktop, Power BI Service, and Power BI Mobile
  • Difference between Excel and Power BI — when to use each tool
  • How Power BI connects to different data sources
  • 2. Navigating the Power BI Desktop Interface
  • Overview of the ribbon, fields pane, and visualizations pane
  • Understanding the three main views: Report View, Data View, Model View
  • Customizing the interface for a smoother workflow
  • 3. Importing Data into Power BI
  • Connecting to Excel, CSV, databases, and cloud-based sources
  • Using Power Query in Power BI for data transformation
  • Setting data types and field properties
  • Best practices for importing clean and well-structured data
  • 4. Introduction to Data Modeling
  • Understanding tables, fields, and relationships
  • Creating relationships between multiple datasets
  • Primary keys, foreign keys, and cardinality explained
  • Avoiding common data model mistakes
  • 5. Working with Columns, Measures & DAX
  • Difference between calculated columns and measures
  • Introduction to DAX (Data Analysis Expressions) for calculations
  • Simple DAX formulas for totals, averages, and conditional results
  • 6. Introduction to Visualizations
  • Adding different chart types: bar, line, pie, map, card, and table
  • Choosing the right visual for your data
  • Formatting visuals for clarity and better storytelling
  • 7. Saving & Sharing Reports
  • Saving Power BI Desktop files (.pbix)
  • Publishing to Power BI Service for online access
  • Overview of how to securely share reports with others

Module 6: Building Interactive Reports in Power BI

  • 1. Choosing the Right Visuals for Your Data
  • Overview of visual types: bar, line, pie, maps, cards, gauges, tables, and matrices
  • Matching visuals to data types for effective storytelling
  • Avoiding over-complication by keeping visuals clear and relevant
  • 2. Creating and Formatting Visuals
  • Adding visuals to the report canvas
  • Customizing colors, labels, titles, and legends for better readability
  • Using built-in themes or creating custom ones for brand consistency
  • Aligning and grouping visuals for a clean, professional look
  • 3. Adding Interactivity with Filters and Slicers
  • Applying visual-level, page-level, and report-level filters
  • Adding slicers for quick category or date-based filtering
  • Using multiple slicers together for deeper drill-down analysis
  • Real-world examples: filtering sales by region, department, or time period
  • 4. Drill-Down, Drill-Up & Drill-Through Navigation
  • Setting up hierarchies for drill-down (e.g., Year → Quarter → Month → Day)
  • Allowing users to explore details without leaving the main report
  • Creating drill-through pages for focused insights on specific data points
  • 5. Creating Calculated Fields & Measures with DAX
  • Using calculated columns for custom data categories
  • Building measures for KPIs, growth rates, and performance metrics
  • Common DAX functions for advanced calculations (CALCULATE, DIVIDE, SUMX)
  • 6. Designing Effective Report Layouts
  • Placing KPIs and key visuals in priority positions
  • Grouping related visuals to guide user attention
  • Using whitespace strategically for a clean look
  • Optimizing for mobile view with responsive layouts
  • 7. Publishing & Sharing Your Reports
  • Publishing to Power BI Service for online access
  • Managing permissions and secure sharing
  • Setting up scheduled data refresh for real-time dashboards

Module 7: Advanced Power BI Features

  • 1. Advanced Data Modeling
  • Managing relationships between multiple datasets
  • One-to-many, many-to-many, and bidirectional relationships explained
  • Using role-playing dimensions (e.g., Order Date vs. Ship Date)
  • Designing efficient star and snowflake schemas for faster performance
  • 2. Advanced DAX for Deeper Insights
  • Understanding filter context vs. row context
  • Using CALCULATE, FILTER, and ALL for flexible calculations
  • Time intelligence functions (YTD, QTD, MTD, SAMEPERIODLASTYEAR)
  • Creating running totals, ranking, and percentage of total metrics
  • 3. Custom & Advanced Visualizations
  • Installing visuals from the Power BI Marketplace
  • Using decomposition trees, waterfall charts, gauges, and KPI cards
  • Creating bookmarks for guided storytelling and presentations
  • Adding dynamic tooltips with additional insights
  • 4. Working with Hierarchies
  • Building date, location, and product hierarchies
  • Enabling drill-down and drill-up navigation
  • Grouping related fields for better report usability
  • 5. Conditional Formatting & KPIs
  • Applying conditional formatting to tables, matrices, and charts
  • Creating color-coded KPIs for performance tracking
  • Designing dynamic status indicators (red/yellow/green)
  • 6. Automation & Collaboration
  • Publishing reports to Power BI Service workspaces
  • Setting up row-level security (RLS) to control data access
  • Automating report refresh with scheduled updates
  • Creating data alerts and subscriptions for key metrics
  • 7. Performance Optimization
  • Reducing file size and improving report speed
  • Using aggregation tables for large datasets
  • Writing efficient DAX formulas to prevent slow calculations

Module 8: Real-World Business Projects

  • Operations and inventory management dashboard
  • Sales performance analysis dashboard
  • Financial reporting and forecasting in Power BI
  • HR analytics – employee performance and attrition trends
  • Marketing campaign analysis and ROI tracking


Offce Address


SCO 85-86, 4th Floor, Sector 34A,
Chandigarh, 160034.

Mohali Branch

204, Divine World, Kharar Landran Road,

                          Call: +91-7888919083

at No comments:

ChandigarhQB – QuickBooks Training in Chandigarh / Intuit QuickBooks Certification in Chandigarh Mohali - 9988113578

 

QuickBooks Pro – Intuit QuickBooks Certified

 

in Chandigarh




  Call: +91-7888919083








             Call: +91-7888919083


QuickBooks Training In Chandigarh

  • Installing QuickBooks
  1. System requirements
  2. Installing QuickBooks
  3. Getting started with QuickBooks
  4. Converting data from other Intuit products
  5. Registering your copy of QuickBooks
  6. Checking for QuickBooks software updates
  7. What’s new in this version of QuickBooks
  • Setting up your company file
  1. Choose a start date
  2. Gather information
  3. Create your company file
  4. Set up company lists
  5. Enter opening balances
  6. Set up payroll
  7. Enter optional adjustments
  8. Customize preferences
  9. Entering historical transactionsHistorical transactions overview
  10. Entering sales and accounts receivable (A/R) transactions
  11. Entering accounts payable (A/P) transactions
  12. Entering payroll transactions
  13. Entering bank and other transactions
  14. Changing your start date
  • Lists
    1. Types of lists
    2. Editing and deleting list items
    3. Speeding up data entry with lists
    4. Adding customized fields to lists
    5. Keeping your lists organized
    6. Printing, saving, or emailing a list
  • Your chart of accounts
    • Chart of accounts overview
    1. Adding new accounts
    2. Entering opening balances for accounts in use
    3. Editing opening balances
    4. Editing account information
    5. Deleting an account
    6. Using account numbers
    7. Keeping your chart of accounts organized
    8. Changing an account’s color
    9. Merging existing accounts
    10. Printing your chart of accounts
  • Items—your products and services
    1. Items overview
    2. Creating items
    3. Tips for businesses that invoice for costs
    4. Using subitems
    5. Reports about items
    6. Editing item information
    7. Deleting items
    8. Changing prices
  • Tracking sales
    1. Types of sales forms
    2. Entering a sales transaction
    3. Working with sales transactions
    4. Customizing your sales form
    5. Printing, saving, or emailing a sale form
    6. Charging for actual time and costs
    7. Creating a daily sales summary
    8. Assessing finance charges
    9. Using billing statements
    10. Using estimates
    11. Questions and answers about sales forms
  • Receiving and depositing payments
    1. Recording an invoice or statement payment
    2. Overpayments, down payments, and prepayments
    3. Retainers
    4. Correcting the application of a payment
    5. Depositing payments
    6. Recording a return
    7. Handling a bounced check from a customer
    8. Questions and answers about payments
  • Inventory
    1. Inventory overview
    2. Viewing items on order
    3. Receiving inventory items
    4. Using the inventory register
    5. Viewing the average cost of inventory items
    6. Adjusting value and quantity on hand
    7. Returning items to a vendor
    8. Reports about inventory
  • Sales tax—track and pay
    1. Sales tax overview
    2. Turning on sales tax
    3. Creating tax items for each single tax you apply
    4. Creating tax groups
    5. Editing sales tax items
    6. Assigning taxes to customers
    7. Marking items you sell as taxable
    8. Applying sales tax to an invoice or cash sale
    9. Non-taxable sales
    10. Unusual tax situations
    11. Keeping track of how much sales tax you owe
    12. Paying sales tax
  • Accounts receivable management
    1. Viewing the accounts receivable register
    2. Viewing the customer register
    3. Editing a transaction in the A/R register
    4. Changing the opening balance for a customer
    5. Viewing an A/R transaction history
    6. Viewing a QuickReport about a customer
    7. Working with A/R reports and graphs
  • Bills
    1. Bills overview
    2. Entering a bill
    3. Paying bills
    4. Viewing a bill payment
    5. Editing bills and payments
    6. Deleting bills and payments
    7. Having QuickBooks remind you to pay your bills
    8. Entering credit from a vendor
    9. Questions and answers about bills
  • Accounts payable management
    1. Viewing the accounts payable register
    2. Editing a transaction in the A/P register
    3. Viewing an A/P transaction history
    4. Viewing a QuickReport about a vendor
    5. Working with A/P reports and graphs
  • Managing your checkbook
    1. Checks overview
    2. Entering a check
    3. Editing checks
    4. Voiding checks
    5. Deleting checks
    6. Printing, saving, or emailing checks
    7. Depositing funds into your checking account
  • Credit card transactions
    1. Credit card overview
    2. Entering a credit card transaction
    3. Editing a credit card transaction
    4. Reconciling/paying your credit card statement
  • Purchase orders
    1. Purchase order overview
    2. Turning on the purchase order feature
    3. Customizing purchase orders
    4. Entering a purchase order
    5. Viewing purchase orders
    6. Receiving items against a purchase order
    7. Editing purchase orders
    8. Closing a purchase order manually
    9. Printing purchase orders
  • Account registers
    1. Account registers overview
    2. Opening an account’s register
    3. Entering transactions in a register
    4. Editing transactions in a register
    5. Finding a specific transaction
    6. Printing, saving, or emailing a register
  • Assets, liabilities, and equity
    1. Assets overview
    2. Adding fixed asset and depreciation accounts
    3. Selling fixed assets
    4. Recording thefts or losses of fixed assets
    5. Purchasing assets
    6. Liabilities overview
    7. Borrowing money
    8. Adding a loan to your chart of accounts
    9. Tracking loan payments
    10. Equity overview
    11. Distributing yearly profits to partners
    12. Creating equity accounts
    13. Transferring money out of Opening Bal Equity
    14. Recording an owner’s draw
    15. Recording an owner’s capital investment
  • Account reconciliation
    1. Reconciling accounts overview
    2. Balancing your account for the first time
    3. Reconciling your checking account statement
    4. Marking cleared transactions
    5. Completing reconciliation
    6. Reconciling your credit card statement
    7. Correcting differences
    8. Printing a reconciliation report
  • Time tracking
    1. Time tracking overview
    2. Time tracking preferences
    3. Filling in a weekly timesheet
    4. Entering single activities
    5. Invoicing customers for time
    6. Reports about time
  • Reports, graphs, and budgets
    1. Setting your report preferences
    2. Creating a report
    3. Customizing a report
    4. Filtering report data
    5. Using QuickZoom for report details
    6. Printing, saving, or emailing a report
    7. Exporting a report to Microsoft Excel
    8. Memorizing and recalling reports
    9. QuickReports
    10. Questions and answers about reports
    11. Graphs
    12. Budgets


Power BI Course in Chandigarh & Mohali | Data Analyst Training with Placement

Microsoft Power BI Data Analyst (PL-300) certification Course Content

Module 1 – Introduction to PL-300 & Power BI Ecosystem

  • Role of a Power BI Data Analyst
  • Understanding PL-300 exam format & weightage
  • Power BI architecture & components (Desktop, Service, Mobile)
  • Installation & setup of Power BI Desktop
  • Overview of Power Query & DAX

Module 2 – Prepare the Data

Lesson 2.1 – Get or Connect to Data

  • Identify & connect to data sources (Excel, SQL Server, Azure, SharePoint, Web)
  • Connect to shared semantic models
  • Change data source settings (credentials, privacy levels)
  • Choose between DirectQuery vs Import vs Live Connection
  • Create & use parameters in Power Query

Lesson 2.2 – Profile & Clean the Data

  • Data profiling in Power Query (column distribution, quality, profiling)
  • Handling null values, duplicates, and unexpected data
  • Fixing data import errors
  • Resolving data type mismatches

Lesson 2.3 – Transform & Load the Data

  • Assign appropriate column data types
  • Creating & transforming columns (Add Column, Custom Column)
  • Grouping & aggregating rows
  • Pivot, unpivot, and transpose transformations
  • Converting semi-structured data (JSON, XML) to tables
  • Creating fact & dimension tables
  • Reference vs duplicate queries – use cases & performance impact
  • Merge & append queries
  • Creating keys for relationships
  • Configuring data load settings

Hands-On Lab: Clean and transform a messy CSV file into a usable Power BI dataset.

Module 3 – Model the Data

Lesson 3.1 – Design & Implement a Data Model

  • Configuring table & column properties (data types, descriptions)
  • Role-playing dimensions (e.g., multiple date relationships)
  • Relationships – cardinality, cross-filter direction, active/inactive relationships
  • Creating a common date table
  • Calculated columns vs calculated tables – when & why

Lesson 3.2 – Create Model Calculations with DAX

  • Introduction to DAX syntax & context
  • Creating single aggregation measures (SUM, AVERAGE, COUNT)
  • Using CALCULATE function & filter context manipulation
  • Implementing time intelligence (YTD, MTD, QTD, SAMEPERIODLASTYEAR)
  • Statistical functions in DAX (MINX, MAXX, MEDIANX)
  • Semi-additive measures (LASTNONBLANK, FIRSTNONBLANK)
  • Quick measures for rapid development
  • Calculation groups for reusable measures

Lesson 3.3 – Optimize Model Performance

  • Removing unnecessary columns & rows
  • Identifying slow measures using Performance Analyzer & DAX query view
  • Reducing granularity for performance boost

Hands-On Lab: Build a sales model with calculated measures and optimize it.

Module 4 – Visualize & Analyze the Data

Lesson 4.1 – Create Reports

  • Choosing the right visual for the data
  • Formatting & configuring visuals (titles, legends, labels)
  • Applying themes & conditional formatting
  • Filtering: slicers, filters pane, drill-through
  • Paginated reports – when to use
  • Creating visual calculations with DAX

Lesson 4.2 – Enhance Reports for Storytelling

  • Configuring bookmarks for interactive storytelling
  • Custom tooltips & report navigation
  • Editing interactions between visuals
  • Sorting visuals & using sync slicers
  • Grouping/layering visuals with Selection Pane
  • Drill through navigation
  • Export settings configuration
  • Designing reports for mobile devices
  • Enabling personalized visuals for users
  • Accessibility design considerations
  • Automatic page refresh for live dashboards

Lesson 4.3 – Identify Patterns & Trends

  • Using the Analyze feature in Power BI
  • Grouping, binning, and clustering data
  • AI visuals (Decomposition Tree, Key Influencers)
  • Adding reference lines, error bars, and forecasts
  • Detecting outliers & anomalies

Hands-On Lab: Create an interactive sales dashboard with storytelling features.

  • Creating & configuring workspaces
  • Configuring workspace apps
  • Publishing, importing, and updating items
  • Creating dashboards & choosing distribution methods
  • Subscriptions & data alerts
  • Promoting/certifying datasets
  • When to use a data gateway
  • Scheduling semantic model refresh

Module 5 – Manage & Secure Power BI

Lesson 5.1 – Create & Manage Workspaces

Lesson 5.2 – Secure & Govern Power BI Items

  • Assigning workspace roles (Viewer, Contributor, Member, Admin)
  • Configuring item-level access
  • Setting access to semantic models
  • Implementing row-level security (RLS) roles & group membership
  • Applying sensitivity labels for data governance

Hands-On Lab: Publish a dashboard to Power BI Service with RLS applied.

Final Revision & Mock Tests

 

  Call: +91-7888919083

at No comments:
Subscribe to: Comments (Atom)

Financial Modeling Training in Chandigarh -9988113578

   Financial Modeling & Valuation Analyst Course in Chandigarh, Mohali Duration: 3 Months Mode: Online/Offline (Chandigarh an...