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Excel for Data Analysis: Ultimate Guide

person icon Taesun Yoo

4.3

Excel for Data Analysis: Ultimate Guide

Complete Excel Analytics Path: Formulas and Functions, Charts, Dashboard, Pivot Tables, Power Query

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Taesun Yoo

category icon Office Productivity,Microsoft,Excel

Lectures -120

Resources -1

Duration -12.5 hours

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Course Description

Are you interested in becoming a Data Analyst? Do you want to gain practical skills and solve real-world business problems using Excel? Then this is the perfect course for you! Created by a Senior Data Analyst with extensive experience in the Insurance and Health Care sectors, this course will equip you with foundational knowledge and help you master key Excel functions and techniques for data analysis.

I will guide you step-by-step into the world of Excel for data analysis. With every lecture and lab exercise, you will develop a comprehensive understanding of these concepts to tackle real data problems! This course is designed to be engaging and practical, with a logical flow through essential modules:

  • Module 1 - Introduction to Excel for Data Analysis: Learn basic navigation, Excel menu, worksheets, tabs, and essential tips and tricks for efficient use.

  • Module 2 - Data Cleaning Techniques: Master advanced data cleaning techniques including manual data entry, formatting cells, removing duplicates, and text cleaning functions.

  • Module 3 - Logical Functions and Data Manipulation: Utilize basic and advanced formulas, logical operations, conditional calculations, and cell referencing.

  • Module 4 - Advanced Functions and Formulas: Implement advanced formulas and functions such as VLOOKUP, HLOOKUP, INDEX, MATCH, and perform statistical analysis with Excel Add-Ins.

  • Module 5 - Mastering Pivot Tables and Data Summarization: Create and manipulate Pivot Tables, filter and sort data, calculate KPIs, and create Pivot Charts.

  • Module 6 - Data Visualization and Dashboarding: Learn principles of data visualization, build effective charts, wireframe dashboards, and create comprehensive visual presentations.

  • Module 7 - Power Query and Power Pivot: Work with external data using Power Query, perform data merging, cleaning, and advanced data modeling with Power Pivot.

  • Module 8 - Capstone Project: Apply all skills in a practical, real-world scenario by developing a comprehensive data analysis project from raw data to a finalized dashboard presentation.

Each module contains independent content, allowing you to start from the beginning or jump into specific topics of interest. However, it is recommended to follow the course from Module 1 to Module 7 to fully prepare for the capstone project challenge.

This course is packed with real-world business problems solved during my career as a senior data analyst. You will not only learn theoretical concepts but also gain practical, hands-on experience. Enroll today and take the first step towards mastering data analysis using Excel.

Goals

  1. Excel Basics: Menus and worksheets, tabs, data selection
    Tips and shortcuts to apply using it efficiently: shortcut keys and formatting techniques
    Duplicate removal, deletion of empty rows, and text cleaning functions
    Logical operations with handling condition data (IF, AND, OR, SUMIF)
    Advanced problem-solving of lookup functions-VLOOKUP, HLOOKUP, INDEX, MATCH-and statistical analysis
    Mastering Pivot Tables for data organization, filtering, sorting, and KPI calculation
    Data Visualization: Effective charts and building complete dashboards; Power Query to import, merge, and clean data and use Power Pivot for advanced data modeling; capstone project with complete data analysis from raw data to a final presentation of a completed dashboard

Prerequisites

  1. Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1, and 10 or Mac.
  2. MS Office Excel
  3. No prior experience in other tools like R or Python, though fundamental knowledge of data structure concepts will be beneficial
Excel for Data Analysis: Ultimate Guide

Curriculum

Check out the detailed breakdown of what’s inside the course

Welcome to the course

6 Lectures
  • play icon What You Will Learn: Module 0
  • play icon 0_1. Lecture: Part A - Course Intro 06:10 06:10
  • play icon 0_2. Lecture: Part B - How to Create MS Account, Download and Install MS Office 07:05 07:05
  • play icon 0_3. Lecture: Part C - How to Install MS Excel Add-Ins 03:21 03:21
  • play icon DOWNLOAD COURSE PACK: Course Outline, Handouts, Labs and Capstone Projects
  • play icon 0_4. Demo: Overview of Course Folder Structure 04:43 04:43

Basic of Excel Spreadsheets

8 Lectures
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Data Cleaning: Entering and Formatting Data

18 Lectures
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Logical Operations and Conditional Data Handling

9 Lectures
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Advanced Formulas and Functions

22 Lectures
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Mastering Pivot Tables and Data Summarization

11 Lectures
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Data Visualization and Dashboarding

12 Lectures
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Power Query and Power Pivot

14 Lectures
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Capstone Projects

17 Lectures
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CONGRATULATIONS!!!

3 Lectures
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Instructor Details

Taesun Yoo

Taesun Yoo

πŸ‘‹πŸΌ Empowering Your Data Analytics Career
πŸŽ“ Senior BI Advisor | Online Course Instructor (Excel, SQL, Python, R, ChatGPT for Career Preparation)
πŸ“š Published a 5-course learning path on Udemy β€” helping aspiring analysts build end-to-end skills from spreadsheets to full-stack data fluency.
πŸ“Ή Founder of DataScienceOne β€” a YouTube community dedicated to real-world projects, career transitions, and portfolio mastery.
✨ Freelance Mentor & Career Coach β€” offering 1:1 guidance on career strategy, portfolio reviews, and job search success in the analytics world.

🌟 Technical Skills:
Excel, SQL, Python, R, SAS, Power BI, Tableau, MS Azure, Web Scraping, Machine Learning

🌟 Education & Leadership Skills:
Online Course Development, Career Mentorship & Coaching, Portfolio Advising, Communication, Presentation, Time Management, Project Management

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