DIPLOMA IN ADVANCE EXCEL

Duration: 1 YEAR

Course Syllabus

Course Title: Diploma in Advance Excel (Skill Development )

Course Duration:  1 Year

Course Objectives:

  1. To empower students with advanced Excel skills for data analysis, visualization, and reporting.
  2. To enable learners to efficiently manage and process large datasets.
  3. To prepare students for self-employment by mastering Excel tools for freelancing, consultancy, or entrepreneurship.
  4. To enhance career growth through practical knowledge of Excel in various industries like finance, marketing, HR, and operations.

Course Overview:

The course covers advanced features of Excel, such as Pivot Tables, Power Query, VBA (Macros), Data Analytics, and Dashboard Creation. It is tailored to equip learners with tools to excel in modern workplaces or run their own businesses efficiently.

Teaching Methodology:

  • Interactive Sessions: Hands-on training with real-world examples.
  • Case Studies: Industry-relevant problem-solving tasks.
  • Assignments and Projects: Weekly tasks to ensure application of concepts.
  • Flexible Curriculum: Content can be adjusted to meet the learner's needs or local industry requirements.
  • Mock Freelancing Projects: Practice self-employment scenarios like generating reports or automating tasks.
  • Regular Feedback: To track progress and address individual challenges.

Importance for Career Growth & Self-Employment:

  • Career Growth: Advanced Excel skills are essential in roles such as data analysts, MIS executives, project managers, and financial analysts.
  • Self-Employment: Opens avenues for freelancing (data visualization, report generation), consultancy, or starting Excel-based training services.
  • Time Efficiency: Mastery in automation saves time, increasing productivity in professional or entrepreneurial roles.

Course Content

Module 1: Foundations of Excel (Weeks 1–4)

  • Introduction to Excel Interface and Features
  • Formatting, Conditional Formatting, and Data Validation
  • Basic Formulas and Functions

Module 2: Intermediate Excel (Weeks 5–8)

  • Advanced Formulas (VLOOKUP, HLOOKUP, INDEX, MATCH, etc.)
  • Pivot Tables and Pivot Charts
  • Handling and Cleaning Large Data Sets
  • Introduction to Charts and Graphs

Module 3: Advanced Excel Tools (Weeks 9–12)

  • Power Query and Power Pivot
  • Data Analysis Expressions Basics
  • Automation with Dashboards
  • Excel Add-ins Overview

Module 4: Financial Applications (Weeks 13–16)

  • Financial Modeling and EMI Calculators
  • Budgeting and Forecasting
  • Creating Financial Dashboards

Module 5: VBA and Macros (Weeks 17–22)

  • Introduction to VBA and Macro Recording
  • Writing VBA Scripts for Automation
  • Debugging and Error Handling
  • Project: Automating Workflow Processes

Module 6: Data Analytics with Excel (Weeks 23–28)

  • Data Analysis Techniques
  • Scenario and What-If Analysis
  • Statistical Analysis Using Excel
  • Case Study: Real-World Market Analysis

Module 7: Advanced Dashboard Creation (Weeks 29–36)

  • Advanced Visualization Techniques
  • Dynamic Dashboards with Slicers and Timelines
  • Industry-Specific Reports and Dashboards

Module 8: Freelancing and Business Skills (Weeks 37–48)

  • Understanding Freelancing Platforms
  • Pricing Strategies and Client Communication
  • Building an Online Portfolio
  • Practice: Freelance Simulations

Capstone Project (Weeks 49–52)

  • A comprehensive project integrating all modules, tailored to a specific industry or business need.

This syllabus is designed to be adaptive and flexible, allowing it to be tailored to the specific needs of learners based on their location or career goals in the Indian context.

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Eligibility

 


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