| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to Excel for Data Analysis | |||
| 1. What is Data Analysis.mp4 | 64.1 MB | ||
| 2 - Excel Basics Refresher | |||
| 3 - Data Cleaning and Preparation | |||
| 4 - Essential Formulas for Analysis | |||
| 10. Logical Formulas IF, AND, OR, IFERROR.mp4 | 67.2 MB | ||
| 11. Lookup Formulas VLOOKUP, HLOOKUP, INDEX MATCH, XLOOKUP.mp4 | 60.9 MB | ||
| 12. Text Functions LEFT, RIGHT, MID, TRIM, LEN, CONCATENATE.mp4 | 51.3 MB | ||
| 13. Date and Time Functions.mp4 | 84.3 MB | ||
| 14. Nested and Dynamic Formulas.mp4 | 83.4 MB | ||
| 5 - Data Aggregation and Summarization | |||
| 15. Using SUMIF, COUNTIF, AVERAGEIF.mp4 | 51.5 MB | ||
| 16. Dynamic Ranges with OFFSET and INDIRECT.mp4 | 54 MB | ||
| 17. Conditional Formatting for Data Insights.mp4 | 32.2 MB | ||
| 18. Subtotals and Grouping.mp4 | 35.5 MB | ||
| 6 - Pivot Tables & Pivot Charts | |||
| 19. Creating and Customizing Pivot Tables.mp4 | 45.9 MB | ||
| 20. Filtering, Sorting and Grouping Data.mp4 | 46.6 MB | ||
| 21. Calculated Fields and Custom Summaries.mp4 | 45 MB | ||
| 22. Building Pivot Charts for Interactive Reports.mp4 | 31.5 MB | ||
| 7. Identifying and Handling Missing Data.mp4 | 43.6 MB | ||
| 8. Text-To-Columns, Flash Fill, and Find & Replace.mp4 | 42 MB | ||
| 9. Data Validation and Drop-Down Lists.mp4 | 23.7 MB | ||
| 3. Workbook Structure and Navigation.mp4 | 105.1 MB | ||
| 4. Data Types and Formatting Essentials.mp4 | 92.6 MB | ||
| 5. Working with Tables and Named Ranges.mp4 | 52.8 MB | ||
| 6. Keyboard Shortcuts for Productivity.mp4 | 120.4 MB | ||
| 2. Why Use Excel for Data Analysis.mp4 | 99.3 MB |
Excel Data Analysis for Professionals and Analysts
https://WebToolTip.com
Published 2/2026
Created by Muhammad Riaz Uddin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 39m ) | Size: 1.3 GB
From Beginner Formulas To Advanced Data Analysis and Visualization Techniques
What you'll learn
✓ What is Data Analysis?
✓ Why Use Excel for Data Analysis?
✓ Data Types and Formatting Essentials
✓ Working with Tables and Named Ranges
✓ Keyboard Shortcuts for Productivity
✓ Identifying and Handling Missing Data
✓ Data Validation and Drop-Down Lists
✓ Conditional Formatting for Data Insights
✓ Creating and Customizing Pivot Tables
✓ Calculated Fields and Custom Summaries
✓ Creating Dynamic Charts with Named Ranges
Requirements
● No experience needed. You'll learn everything from the beginning.
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