Basic Data Analysis With Excel
Course Overview
The “Basic Data Analysis With Excel” course is a comprehensive and practical guide designed to equip participants with fundamental data analysis skills using Microsoft Excel. This course is suitable for beginners and those looking to enhance their Excel skills for data manipulation and analysis. It covers various Excel functionalities, from basic navigation and data cleaning to data analysis, formatting, and best practices for structuring workbooks.
Who Needs This Course
This course is beneficial for a wide range of individuals, including:
Students: Students looking to gain essential data analysis skills for academic projects or future careers.
Entry-Level Professionals: Professionals who are new to data analysis and want to learn how to use Excel effectively for their job roles.
Small Business Owners: Business owners or entrepreneurs aiming to analyze business data for decision-making.
Researchers: Researchers who need to organize and analyze research data efficiently.
Administrative Staff: Administrative personnel who want to enhance their data management skills.
Anyone Interested in Excel: Individuals interested in improving their Excel proficiency and data analysis capabilities.
Benefits for Learners
By enrolling in the “Basic Data Analysis With Excel” course, learners can expect the following benefits:
Excel Proficiency: Gain confidence in using Microsoft Excel for data analysis and manipulation.
Efficient Navigation: Learn how to navigate Excel quickly and efficiently, including inserting/deleting rows, columns, and sheets.
Data Cleaning Skills: Understand how to prepare and clean data for analysis, including filtering, sorting, and text manipulation.
Data Analysis Techniques: Master essential data analysis functions such as averages, percentiles, counts, and sums.
Pivot Tables: Learn how to create and use pivot tables for summarizing and analyzing data.
Advanced Functions: Explore advanced Excel functions like INDEX MATCH for more complex data operations.
Data Formatting: Discover how to format data for improved readability, including number formatting, conditional formatting, and cell formatting.
Workbook Structure: Learn best practices for structuring workbooks and worksheets to maintain organization.
Practical Application: Acquire hands-on skills that can be immediately applied to real-life scenarios, such as business data analysis or academic projects.
Efficiency and Productivity: Increase efficiency by using Excel shortcuts and tools effectively.
Workbook Management: Understand how to manage and structure workbooks efficiently for better workflow.
Data Visualization: Learn techniques for presenting data in a visually appealing and informative manner.
Overall, this course provides participants with a strong foundation in data analysis using Excel, enabling them to organize, clean, analyze, and present data effectively in various personal, academic, or professional contexts.
SECTION 1: INTRODUCTION
SECTION 2: HOW TO NAVIGATE QUICKLY IN EXCEL
SECTION 3: HOW TO CLEAN DATA IN PREPARATION FOR ANALYSIS
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7Insert Filters, Multiple Sort
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8Create Tables
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9Find And Replace Data
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10IFERROR For Calculations
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11IFS For Creating Buckets In A New Column
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12LEFT RIGHT LEN SEARCH For Manipulating Text
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13LEFT RIGHT LEN SEARCH For Manipulating Text (Advanced)
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14Cleaning Dates
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15Using Excel's Smart Autofill Feature
SECTION 4: HOW TO ANALYZE DATA
SECTION 5: HOW TO FORMAT YOUR OUTPUT
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24Format Numbers Quickly, Set Decimal Points
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25Using Detailed Formatting Options In Ctr + 1
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26Conditional Formatting
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27Align Text, Font Color
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28Adding Cell Borders
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29Cell Highlights
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30Use Paste Special To Copy Formats From Another Cell
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31Clear Formatting From Cells
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32Insert And Delete Comments From Cells
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33Set Row Width And Column Height, Use Autofit
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34Show And Hide Gridlines
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35Color The Tabs In Your Workbook