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Excel for Data Analysis

This course aims to provide learners with crucial Excel skills for effective data analysis. 

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. This course aims to provide learners with crucial Excel skills for effective data analysis.

  2. It caters to both beginners and those seeking to enhance their expertise, covering a range of foundational to intermediate Excel tools commonly utilized in business, research, and analytics.

  3. Participants will discover how to efficiently organize, analyze, visualize, and interpret data by leveraging Excel’s robust features.

  4. By engaging in hands-on exercises, real-world case studies, and practical applications, this course will empower you to make informed, data-driven decisions with confidence.

CERTIFICATION:

  1. Upon finishing the course, participants will be awarded a Certificate of Completion.This certificate confirms your proficiency in:

  2. Utilizing Excel methods for data analysis.

  3. Developing impactful visualizations and dashboards.

  4. Employing Excel formulas, functions, and tools for effective data management.

  5. You can display this certificate on LinkedIn, include it in your resume, or present it to potential employers as evidence of your expertise.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Data Management

    Effectively clean, sort, and filter datasets. Utilize Excel tables and data validation tools to manage large datasets.

  2. Excel Functions & Formulas

    Employ essential Excel functions such as VLOOKUP, HLOOKUP, INDEX, MATCH, IF, SUMIFS, and COUNTIFS. Execute both basic and advanced calculations for business and statistical purposes.

  3. Data Visualization

    Develop engaging charts and graphs, including bar charts, line graphs, and pivot charts. Construct dashboards to visually summarize and present insights.

  4. PivotTables & Analysis Tools

    Achieve proficiency in PivotTables and PivotCharts for efficient data summarization. Leverage Excel tools like Goal Seek, Solver, and Scenario Manager for predictive analysis.

  5. Data Automation

    Streamline repetitive tasks through basic Excel Macros and shortcuts. Enhance productivity by combining formulas and optimizing workbooks.

  6. Real-World Applications

    Evaluate financial data, sales reports, and survey findings. Address practical case studies utilizing Excel analytics techniques. This course is well-suited for students, professionals, business analysts, and anyone aiming to improve their data analysis capabilities with Excel.

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Course Curriculum

Introduction to Excel for Data Analysis
  1. Overview of Excel interface and features
  2. Understanding data analysis and its importance
  3. Navigating worksheets and workbooks
Data Manipulation and Cleaning
  1. Importing and exporting data (CSV, TXT, and databases)
  2. Sorting, filtering, and organizing data
  3. Removing duplicates and handling missing values
Formulas and Functions
  1. Basic arithmetic operations and cell referencing
  2. Essential functions: SUM, AVERAGE, COUNT, MAX, MIN
  3. Logical functions: IF, AND, OR, and nested formulas
  4. Text functions: CONCATENATE, LEFT, RIGHT, LEN, TRIM
Data Visualization
  1. Creating and customizing charts: Line, Bar, Pie, and Scatter plots
  2. Conditional formatting for visual insights
  3. Sparklines and data bars
PivotTables and PivotCharts
  1. Creating and using PivotTables for summarizing data
  2. Advanced PivotTable techniques: Slicers, grouping, and calculated fields
  3. Creating dynamic PivotCharts
Advanced Analysis Tools
  1. Data validation and drop-down lists
  2. Using Solver for optimization problems
  3. Goal Seek and Scenario Manager for what-if analysis
Automation with Macros
  1. Introduction to macros and their uses
  2. Recording, editing, and running macros
  3. Basics of VBA (Visual Basic for Applications)
Case Studies and Practical Applications
  1. End-to-end data analysis projects in business, marketing, and finance
  2. Interpreting data for decision-making
  3. Creating dynamic dashboards

Training Features

Interactive Exercises

Hands-on tasks with real-world datasets to practice data cleaning, analysis, and visualization.

Step-by-Step Tutorials

Detailed walkthroughs for mastering complex Excel features, including formulas, PivotTables, and macros.

Dynamic Projects

Real-life case studies focusing on finance, marketing, and business intelligence to build practical expertise.

Excel Templates and Tools

Pre-built templates for dashboards, reports, and analysis models for quick adoption in real scenarios.

Expert-Led Guidance

Live sessions or recorded lessons by Excel professionals to clarify concepts and provide tips.

Certificate of Proficiency

A certification upon successful completion, validating skills in Excel for data analysis.

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