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Excel Mastery

Microsoft Excel is a powerful spreadsheet software developed by Microsoft. It allows users to organize, format, and calculate data using formulas and functions. Excel is widely used for data analysis, financial modeling, chart creation, and task management. It supports features like pivot tables, conditional formatting, and various data visualization tools, making it an essential tool in business, education, and data science.

Original price was: ₹800.00.Current price is: ₹385.00.

About This Course

Excel course is a structured program designed to teach individuals how to effectively use Microsoft Excel for personal, academic, or professional purposes. The courses cover a wide range of topics, starting from basic spreadsheet navigation and data entry to advanced features like formulas, functions, charts, pivot tables, data analysis tools, and automation using macros and VBA.

Key topics covered in Excel course:

  • Introduction to the Excel interface

  • Basic formulas and functions (SUM, AVERAGE, IF, etc.)

  • Data formatting and validation

  • Charts and data visualization

  • Pivot tables and pivot charts

  • Conditional formatting

  • Data sorting and filtering

  • Advanced functions (VLOOKUP, INDEX-MATCH, etc.)

  • Macros and basic VBA (in advanced courses)

Whether you’re a beginner or looking to upgrade your skills, an Excel course can boost productivity, enhance your data management capabilities, and increase your value in the job market.

Course Content

Module 1 - Introduction to Excel
  • Overview of Excel Interface
    • Workbook, Worksheets, and Cells
    • Ribbon, Tabs, and Quick Access Toolbar
    • Workbook Management (Open, Save, New, Close)
  • Basic Excel Operations
    • Creating and Saving Workbooks
    • Navigating Cells, Rows, and Columns
    • Entering Data: Text, Numbers, and Dates
    • Formatting Cells: Fonts, Alignment, and Number Formats
  • Basic Formulas
    • SUM, AVERAGE, COUNT, COUNTA
    • Basic Arithmetic Operations: +, -, *, /
    • Using Parentheses for Formula Order
  • Cell Referencing
    • Relative vs. Absolute Referencing (e.g., A1 vs. $A$1)
    • Mixed Referencing (e.g., $A1, A$1)
  • Data Types
    • Text, Number, Date, Time formats
    • Custom Formats
  • Cell Formatting
    • Adjusting Column Width and Row Height
    • Borders, Backgrounds, and Color Formatting
    • Conditional Formatting (Basic Highlighting, Data Bars)
  • Text Functions 
    • CONCATENATE, LEFT, RIGHT, MID
    • TEXT, LEN, FIND, REPLACE
  • Sorting and Filtering
    • Sorting Data in Ascending/Descending Order
    • Filtering Data with AutoFilter
    • Advanced Filters: Custom Criteria
  • Data Validation
    • Setting Up Data Validation Rules
    • List Validation, Date Validation
    • Creating Drop-Down Lists
  • Tables and Structured References
    • Creating and Formatting Tables
    • Sorting and Filtering within Tables
    • Using Structured References
  • Lookup Functions
    • VLOOKUP, HLOOKUP
    • INDEX, MATCH, and combining INDEX-MATCH for dynamic lookups
    • XLOOKUP (Excel 365 feature)
  • IF Functions
    • Basic IF Statement
    • Nested IF Functions
    • IFERROR, IFS
  • Logical Functions
    • AND, OR, NOT
    • Combining Logical Functions with IF statements
  • Text Functions
    • TEXT, CONCAT, TEXTJOIN
  • Introduction to Charts
    • Types of Charts (Bar, Line, Pie, etc.)
    • Inserting and Customizing Charts
    • Chart Formatting and Data Labels
  • Advanced Charting Techniques
    • Combo Charts
    • Secondary Axes
    • Sparklines
  • Creating PivotTables
    • Organizing Data with PivotTables
    • Grouping Data
    • Summarizing Data using Sum, Average, Count, etc.
    • Filtering and Sorting PivotTables
  • PivotCharts
    • Creating and Customizing PivotCharts
    • Dynamic Filtering using Slicers
  • What-If Analysis
    • Goal Seek
    • Data Tables
    • Scenario Manager
  • Solver
    • Introduction to Solver
    • Using Solver for Optimization Problems
  • Power Query
    • Importing Data from External Sources (CSV, Web, etc.)
    • Transforming Data with Power Query Editor
    • Combining and Merging Data
  • Introduction to Macros
    • Recording and Running Macros
    • Assigning Macros to Buttons
    • Simple Macro Editing (VBA editor basics)
  • VBA Programming for Excel
    • Introduction to VBA Syntax
    • Writing Simple VBA Code
    • Variables, Loops, and Conditional Statements
  • Keyboard Shortcuts
    • Navigating Excel Quickly
    • Data Entry Shortcuts
    • Formatting Shortcuts
  • Excel Productivity Tips
    • Flash Fill
    • Using Templates
    • Freeze Panes and Split Screens
  • Protecting and Sharing Workbooks
    • Workbook and Worksheet Protection
    • Password Protection
    • Sharing Workbooks for Collaboration

Earn A Certificate

Earning a certificate from Vital Skills enhances your professional credentials and expertise, boosting your career opportunities. It also fosters personal growth and confidence in your abilities

Why Join This Course?

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Certified

Practical Demosntration

Essential
Skills

FAQs (Frequently Asked Questions)

Courses are designed from scratch by professionals. No prior knowledge is needed.

The course is usually delivered through a combination of video lectures and projects.

After completing Email Formatting course, career prospects include roles such as

Freelance Excel Specialist

Project Coordinator/Manager

Accountant or Bookkeeper

MIS Executive (Management Information Systems)

Data Entry Operator

across various industries.

Original price was: ₹800.00.Current price is: ₹385.00.

Use Coupon Code VITAL100 on checkout and get instant ₹100/- OFF on your next order!

Total Duration

4.2 Hours

Total Lessons

10

Course Validity

Lifetime

Level

All Levels

Job Opportunities

Data Entry Operator
Administrative Assistant
Financial Analyst
Data Analyst
MIS Executive (Management Information Systems)
Accountant or Bookkeeper
Project Coordinator/Manager
HR Analyst
Sales Analyst
Freelance Excel Specialist

Target Audience

  • Educators & Researchers
  • Small Business Owners
  • Job Seekers
  • Freelancers & Remote Workers
  • Professionals & Entrepreneurs
  • Students & Recent Graduates
  • Career Switchers

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Excel Mastery

Demo Lecture

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Course Curriculum

Module 1: Introduction to Excel

  • Overview of Excel Interface
    • Workbook, Worksheets, and Cells
    • Ribbon, Tabs, and Quick Access Toolbar
    • Workbook Management (Open, Save, New, Close)
  • Basic Excel Operations
    • Creating and Saving Workbooks
    • Navigating Cells, Rows, and Columns
    • Entering Data: Text, Numbers, and Dates
    • Formatting Cells: Fonts, Alignment, and Number Formats

Module 2: Basic Formulas and Functions

  • Basic Formulas
    • SUM, AVERAGE, COUNT, COUNTA
    • Basic Arithmetic Operations: +, -, *, /
    • Using Parentheses for Formula Order
  • Cell Referencing
    • Relative vs. Absolute Referencing (e.g., A1 vs. $A$1)
    • Mixed Referencing (e.g., $A1, A$1)

Module 3: Data Management and Formatting

  • Data Types
    • Text, Number, Date, Time formats
    • Custom Formats
  • Cell Formatting
    • Adjusting Column Width and Row Height
    • Borders, Backgrounds, and Color Formatting
    • Conditional Formatting (Basic Highlighting, Data Bars)
  • Text Functions 
    • CONCATENATE, LEFT, RIGHT, MID
    • TEXT, LEN, FIND, REPLACE

Module 4: Data Analysis Tools

  • Sorting and Filtering
    • Sorting Data in Ascending/Descending Order
    • Filtering Data with AutoFilter
    • Advanced Filters: Custom Criteria
  • Data Validation
    • Setting Up Data Validation Rules
    • List Validation, Date Validation
    • Creating Drop-Down Lists
  • Tables and Structured References
    • Creating and Formatting Tables
    • Sorting and Filtering within Tables
    • Using Structured References

Module 5: Advanced Functions

  • Lookup Functions
    • VLOOKUP, HLOOKUP
    • INDEX, MATCH, and combining INDEX-MATCH for dynamic lookups
    • XLOOKUP (Excel 365 feature)
  • IF Functions
    • Basic IF Statement
    • Nested IF Functions
    • IFERROR, IFS
  • Logical Functions
    • AND, OR, NOT
    • Combining Logical Functions with IF statements
  • Text Functions
    • TEXT, CONCAT, TEXTJOIN

Module 6: Working with Charts

  • Introduction to Charts
    • Types of Charts (Bar, Line, Pie, etc.)
    • Inserting and Customizing Charts
    • Chart Formatting and Data Labels
  • Advanced Charting Techniques
    • Combo Charts
    • Secondary Axes
    • Sparklines

Module 7: PivotTables and PivotCharts

  • Creating PivotTables
    • Organizing Data with PivotTables
    • Grouping Data
    • Summarizing Data using Sum, Average, Count, etc.
    • Filtering and Sorting PivotTables
  • PivotCharts
    • Creating and Customizing PivotCharts
    • Dynamic Filtering using Slicers

Module 8: Advanced Data Analysis Tools

  • What-If Analysis
    • Goal Seek
    • Data Tables
    • Scenario Manager
  • Solver
    • Introduction to Solver
    • Using Solver for Optimization Problems
  • Power Query
    • Importing Data from External Sources (CSV, Web, etc.)
    • Transforming Data with Power Query Editor
    • Combining and Merging Data

Module 9: Excel Macros and VBA

  • Introduction to Macros
    • Recording and Running Macros
    • Assigning Macros to Buttons
    • Simple Macro Editing (VBA editor basics)
  • VBA Programming for Excel
    • Introduction to VBA Syntax
    • Writing Simple VBA Code
    • Variables, Loops, and Conditional Statements

Module 10: Excel Tips, Tricks, and Shortcuts 

  • Keyboard Shortcuts
    • Navigating Excel Quickly
    • Data Entry Shortcuts
    • Formatting Shortcuts
  • Excel Productivity Tips
    • Flash Fill
    • Using Templates
    • Freeze Panes and Split Screens
  • Protecting and Sharing Workbooks
    • Workbook and Worksheet Protection
    • Password Protection
    • Sharing Workbooks for Collaboration

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    Cloud Computing With AWS

    Demo Lecture

    Course Curriculum

    Module 1: Introduction to Cloud Computing

    • Overview of Cloud Computing
      • Definition, Characteristics, and Benefits
      • Types of Cloud Services: IaaS, PaaS, SaaS
      • Deployment Models: Public, Private, Hybrid, and Community Clouds
    • History and Evolution of Cloud Computing
      • From On-Premises to the Cloud
      • Major Milestones and Innovations
    • Why AWS for Cloud Computing?
      • AWS Overview and Market Leadership
      • Global Infrastructure: Regions and Availability Zones

    Module 2: Core Concepts of Cloud Computing

    • Virtualization Basics
      • AWS EC2 Instances as an Example of Virtual Machines
      • Amazon ECS and EKS for Container Management
    • Networking in the Cloud
      • Amazon VPC: Subnets, Route Tables, and Gateways
      • Elastic Load Balancing (ELB) and AWS Direct Connect
    • Storage in the Cloud
      • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
      • Amazon EBS for Block Storage

    Module 3: Cloud Infrastructure and Architecture

    • Scalability and Elasticity
      • Using AWS Auto Scaling for Elastic Workloads
      • Horizontal and Vertical Scaling with Amazon EC2
    • Cloud-Native Architecture
      • Serverless Computing with AWS Lambda
      • Orchestrating Containers with Amazon ECS and EKS
    • High Availability and Disaster Recovery
      • Multi-Region Deployments with AWS Route 53
      • Backup Strategies Using AWS Backup

    Module 4: Security in the Cloud

    • Cloud Security Fundamentals
      • Shared Responsibility Model with AWS
      • Identity and Access Management (IAM) for User Roles and Permissions
    • Data Security
      • Encryption Using AWS Key Management Service (KMS)
      • Monitoring and Auditing with AWS CloudTrail
    • Compliance and Governance
      • Managing Compliance with AWS Config and Artifact

    Module 5: Cloud Service Models

    • Infrastructure as a Service (IaaS)
      • Provisioning EC2 Instances
      • Managing Storage and Networking with Amazon VPC and Elastic IPs
    • Platform as a Service (PaaS)
      • Deploying Applications Using AWS Elastic Beanstalk
    • Software as a Service (SaaS)
      • Exploring AWS Marketplace for SaaS Solutions

    Module 6: DevOps and Automation in the Cloud

    • Cloud and DevOps Integration
      • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
    • Infrastructure as Code (IaC)
      • Automating Resource Provisioning Using AWS CloudFormation and Terraform
    • Monitoring and Logging
      • Application Monitoring with Amazon CloudWatch

    Module 7: Cloud Economics and Optimization

    • Cost Management in AWS
      • Exploring AWS Pricing Models
      • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
    • Resource Optimization
      • Reserved Instances and Savings Plans in EC2
      • Using Trusted Advisor for Recommendations
    • Sustainability in the Cloud
      • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

    Module 8: Emerging Trends in Cloud Computing

    • Edge Computing with AWS
      • AWS IoT Greengrass and AWS Wavelength
    • AI and Machine Learning in the Cloud
      • Using Amazon Sage Maker for Machine Learning Workflows
    • Hybrid and Multi-Cloud Strategies
      • Managing Hybrid Environments with AWS Outposts

    Module 9: Projects

     

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