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Access Sql Essentials For Excel Power Users
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charlie
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6 463 posts 6 463 threads Dołączył: Nov 2025
18-01-2026, 21:42 -
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Access Sql Essentials For Excel Power Users
Published 1/2026
Created by IsáBel .
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 2h 21m ) | Size: 1.6 GB[/center]
Learn SQL Queries to Replace VLOOKUP, Filters, and PivotTables
What you'll learn
✓ Understand the Fundamental Difference Between Excel and SQL
✓ Write Fundamental SQL Queries to Extract and Filter Data
✓ Connect Related Data Using SQL JOINs
✓ Generate Summary Reports with GROUP BY and Aggregate Functions
✓ Save and Reuse SQL Queries for Automated Reporting
Requirements
● Microsoft Access 2016 or Later
● Comfortable with Excel formulas (VLOOKUP/XLOOKUP)
● Experience creating and using PivotTables
● Familiarity with Excel filters and data sorting
Description
Tired of formulas that break when columns move?
Spending hours rebuilding PivotTables every week?
There's a better way.
Access SQL Essentials for Excel Power Users is designed specifically for Excel users who want to transform their data analysis skills. If you're comfortable with VLOOKUP and PivotTables, you're ready to learn SQL. And this course will prove it.
What You'll Learn
This hands-on course takes you from zero SQL knowledge to writing queries that replace your most time-consuming Excel tasks. You'll discover how to extract, filter, combine, and summarize data using SQL's simple, readable syntax, and why SQL queries won't break when your data structure changes.
Module 1: SQL Basics teaches you to write SELECT statements that replace manual filtering and column hiding. You'll learn WHERE clauses (Excel's FILTER function, but better) and ORDER BY for sorting. By the end of this module, you'll retrieve exactly the data you need with just a few lines of code.
Module 2: JOINs Made Simple solves the VLOOKUP problem forever. You'll learn why VLOOKUP formulas break when columns move, and how INNER JOIN connects tables based on relationships, not column positions. LEFT JOIN teaches you to find missing data (customers without orders, employees without training) using NULL values. No more fragile formulas that error out when your colleague inserts a new column.
Module 3: GROUP BY & Aggregates replaces your PivotTables with queries you can save and rerun with one click. You'll use SUM, COUNT, and AVG to create summary reports, and learn to combine filtering with aggregation. The best part? Save your query once, run it forever-no more rebuilding PivotTables when data updates.
Who Should Take This Course
This course is perfect for you if you
• Use Excel daily and know your way around VLOOKUP, XLOOKUP, or PivotTables
• Spend time manually filtering data or copying columns between worksheets
• Have formulas that break when colleagues rearrange your spreadsheets
• Want to automate reports that currently require manual updates
• Need to analyze data faster and more reliably than Excel allows
No prior SQL or database experience required. If you can write an Excel formula, you can write a SQL query.
What Makes This Course Different
Translation, not theory. I won't be teaching you database design or entity relationships. Every SQL concept directly translates to something you already do in Excel. VLOOKUP becomes JOIN. FILTER becomes WHERE. PivotTables become GROUP BY. You'll recognize the logic immediately.
Hands-on from minute one. You'll work with a realistic sales database containing customers, orders, employees, and training records. Every concept includes working examples you can type, run, and modify. By the end, you'll have written actual queries that solve real business problems.
Built for speed. This isn't a semester-long course. It's 90 minutes of focused, practical instruction designed to get you querying data by lunchtime. You'll leave with working queries, a practice database, reference materials, and the confidence to start using SQL immediately.
Learning Outcomes
By the end of this course, you will be able to
• Write SQL queries using SELECT, WHERE, and ORDER BY to extract and filter data, replacing Excel's manual filtering and column management
• Connect related tables using INNER JOIN and LEFT JOIN to replace VLOOKUP formulas that break when columns move
• Create summary reports with GROUP BY and aggregate functions (SUM, COUNT, AVG) that replace manually-rebuilt PivotTables
• Save and reuse queries in Microsoft Access for one-click reporting and automatic Excel data refresh
Technical Requirements
• Microsoft Access 2016 or later (included in Office Professional)
• Basic computer skills
• Willingness to try something new
Time Investment
• Course Duration: 90 minutes of instruction
• Practice Time: 2-3 hours recommended for full mastery
• Lifetime Value: Skills transfer to SQL Server, MySQL, PostgreSQL, and all major databases
Your Instructor
Taught by experienced instructor and data management expert IsáBel, who specializes in translating complex technical concepts into practical, immediately-applicable skills. With extensive experience teaching professionals how to leverage software tools for real-world productivity, this course brings the same clarity and hands-on approach to SQL training.
The Bottom Line
Stop fighting with Excel. Start asking questions of your data.
In 90 minutes, you'll go from never having written a SQL query to confidently extracting, joining, and summarizing data. You'll replace fragile formulas with reliable queries. You'll automate reports that currently take hours to build. And you'll wonder why you didn't learn this years ago.
Enroll today and transform the way you work with data.
Access SQL Essentials for Excel Power Users is brought to you by TecKnowledge LLC-professional training that bridges the gap between knowing Excel and mastering data.
Who this course is for
■ This course is designed specifically for Excel power users who want to leverage SQL in Microsoft Access to create faster, more reliable data analysis workflows.

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https://rapidgator.net/file/2c31cb743123...1.rar.html

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