NE, Omaha - Regus - Landmark Center

1299 Farnam Street Suite 300, Omaha, United States, 68102

The Landmark Center is centrally located in downtown Omaha and easily accessible by car via Interstates 29 and 80, with secure underground and surface parking available around the building. Visitors arriving from Eppley Airfield (OMA) will typically reach the venue in 15–20 minutes by taxi or rideshare via I‑480 into the city. Public transportation is convenient, with DPT bus routes stopping at 13th & Farnam and 12th & Harney—both just a block away—while the surrounding area is walkable and bike-friendly.

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Excel: Basic, Intermediate, Advanced

10 Hours

Excel for Inventory, Budgeting, and Data Analysis

14 Hours

Microsoft Excel (Basic, Intermediate, and Advanced)

28 Hours

Excel and Google Sheets

14 Hours

Excel Modelling

7 Hours

Excel Advanced

14 Hours

Microsoft Office Excel - intermediate level

14 Hours

Visual Basic for Applications (VBA) in Excel - Advanced

14 Hours

Visual Basic for Applications (VBA) in Excel - Introduction to programming

21 Hours

Excel VBA Introduction

14 Hours

Excel For Statistical Data Analysis

14 Hours

Excel to Power BI

7 Hours

VBA For Access & Excel

21 Hours

Excel Basics

14 Hours

Financial Analysis in Excel

14 Hours

Excel in One Day

7 Hours

Analysing Financial Data in Excel

14 Hours

R Programming for Excel

21 Hours

Excel VBA in One Day

7 Hours

Excel - Intermediate

7 Hours

Word and Excel Basics

14 Hours

Excel 2016 - Level 1

7 Hours

Excel - Basic

7 Hours

Python for Excel

14 Hours

Excel - Advanced

7 Hours

Working with spreadsheet in Microsoft Excel

14 Hours

Excel Advanced with VBA

21 Hours

Visual Basic for Applications (VBA) in Excel (intermediate level)

14 Hours

Microsoft Office Excel - working effectively with the spreadsheet

14 Hours

Visual Basic for Applications (VBA) for Analysts

21 Hours

Excel and VBA Programming for Audit and Finance Professionals

28 Hours

Advanced Excel for Sales Professionals: Data Analysis, Reporting, and Automation

35 Hours

Excel - Best Practices for Everyday Work

7 Hours

Excel Data Analysis

14 Hours

Excel 365- Spill Formulas and New Functions: Clearer and Faster

7 Hours

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