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  • Data Analysis & Visualization with Excel

Data Analysis & Visualization with Excel

  • By Certiedge official
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Course Duration: 32 Hours of Comprehensive Learning

Mode of Learning:

Choose the learning style that best fits your schedule and preferences:

  1. Online Instructor-Led Training – Learn in real time with live expert-led sessions.
  2. Online Self-Paced Learning – Study anytime, anywhere with flexible recorded modules.
  3. Onsite/Classroom Training – Experience in-person, hands-on learning guided by certified trainers.

What’s Included in the Training Program:

Our industry-leading Training Program is designed to provide a complete learning experience through a perfect blend of theory and practical exposure. Here’s what you’ll get:

  • Live, Instructor-Led Online Training Sessions
  • Hands-on Lab Exercises
  • Certified and Experienced Trainers
  • Post-Training Support & Mentorship
  • Comprehensive Learning Resources including eBooks, guides, and reference materials.
  • Real-World Case Studies & Application Scenarios
  • Networking Opportunities
  • Group Projects and Collaborative Learning Activities
  • Best Practices and Industry Insights.
  • Access to Recorded Sessions (available for online learners, based on client permissions).
  • Follow-up Review Sessions.
  • Tool Demonstrations and Guided Walkthroughs
  •  

This training helps you gain the knowledge and hands-on experience needed to advance your career in today’s competitive IT landscape.

 

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Course Content

Introduction to Excel Spreadsheets

  • Navigating the Excel Interface
  • Understanding Workbook and Worksheet Structures
  • Customizing Views and Layouts

Understanding Different Types of Data and Data Formats

  • Text, Number, Date, Currency
  • Data Validation and Formatting Best Practices

Various Tools and Frameworks for Data Analysis

  • Overview of Excel Features for Analytics
  • Managerial Use Cases in Financial Data

Data-Driven Decision Making

  • What is Data-Driven Culture in Finance?
  • Importance of Data Integrity in Decision Making
  • Exercise: Identify 3 finance problems solved using data

Types of Data Analysis

  • Descriptive, Diagnostic, Predictive, and Prescriptive Analysis
  • Exercise: Classify financial reports under each type

Challenges and Best Practices for Data-Driven Decision Making

  • Common pitfalls in data usage
  • How to ensure accurate and ethical data use
  • Exercise: Create checklist for clean financial reporting

Viewing, Editing, and Filtering Data

  • Sorting and Applying Filters
  • Freeze Panes and Data Highlighting

Copying, Filtering, and Formatting Cells and Data

  • Conditional Formatting
  • Paste Special, Format Painter

Basics of Formulas

  • AutoSum, Basic Arithmetic Functions
  • Relative vs Absolute Referencing

Introduction to Functions

  • SUM, AVERAGE, COUNTIF, IF, AND, OR
  • Nesting Functions in Formulas

Referencing Data in Formulas

  • Cell Referencing, Named Ranges
  • Using Data from Multiple Sheets

Removing Duplicated, Inaccurate Data and Empty Rows

  • Use of Remove Duplicates
  • Manual & Automated Clean-up Techniques

Dealing with Inconsistencies in Data

  • Data Normalization
  • Standardizing Categories and Formats

Cleaning Data

  • Using TRIM, CLEAN, SUBSTITUTE
  • Managing Nulls and Errors (IFERROR)

Filtering and Sorting Data

  • Multi-level Sorting
  • Custom Sort and AutoFilte

Useful Functions for Data Analysis

  • TEXT, DATE, CONCAT, LEFT, RIGHT, LEN
  • ROUND, RANK, TRANSPOSE

VLOOKUP and HLOOKUP

  • Searching and Mapping Data across Tables
  • Practical Use Cases in Finance

Pivot Table and Pivot Table Features

  • Creating Pivot Tables
  • Adding Filters, Columns, and Calculated Fields

Basic Visualization Using Excel

  • Column, Line, Pie, and Bar Charts
  • Chart Formatting and Customization

Advanced Visualization Using Excel

  • Combination Charts, Sparklines
  • Use of Slicers and Timelines

Creating Dashboards with Excel

  • Designing KPI Dashboards
  • Interactive Elements with Form Controls

Extracting Data from External Sources

  • Import from CSV, Web, Database
  • Introduction to Connections

Transformation of Data using Power Query

  • Power Query Editor Basics
  • Merging and Appending Queries

Loading the Data in Excel

  • Data Model Integration
  • Load to Table vs Pivot vs Data Model

Course Includes:

  • Price:
    ₹50,000.00 ₹65,000.00
  • Lessons:51
  • Level:Intermediate
₹50,000.00 ₹65,000.00
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