
Navigate and select large data ranges in Excel quickly using Ctrl+Arrow to reach the last row or column, and Ctrl+Shift+Arrow to select full range for project data analysis.
Master fast data entry in Excel by filling a selected range with the same value using Ctrl+Enter, and navigate with Ctrl and arrow keys for daily reports.
Master navigating large Excel databases with Ctrl+arrow key to reach the edge of continuous data, Ctrl+Shift+arrow key to select, and Ctrl+A to select the entire data area.
Customize the Excel environment for project databases by refreshing MSP data and building a days-by-months matrix to track hours and progress using center across selection.
Learn to generate random integers with rand between in Excel, apply it across ranges, and freeze results by paste special values; find and fill blanks with go to special.
Explore managing a course database in Excel, apply filters for weather data, and extract a unique list using the Excel 2021 unique function.
Discover practical methods to create a unique list from a column in Excel, using remove duplicates and advanced filter to copy results to another location without affecting original data.
Learn to categorize project data by weather in Excel for project data analysis and reporting, using nested IF formulas to map conditions like sunny, rainy, and snowy to permitted tasks.
Design practical database conditions with nested if statements in Excel, using absolute and relative references, dollar signs, and F4 to lock references while dragging formulas.
Use the row, rows, column, and columns functions to create dynamic row numbers in Excel, and apply the if function to display numbers only when a name exists.
Apply sum if to aggregate project expenses by cost center in Excel, and compare sum product and if logic for array-based reporting.
Learn to create a multi-criteria sum matrix in Excel using SUMIFS, enabling costs by cost center across projects, with unique lists, absolute references, and dynamic reporting.
Explore how Excel counts data using COUNT, COUNTA, COUNTBLANK, COUNTIF, and COUNTIFS, and understand how dates and times are stored as numbers for accurate project data analysis.
Learn how counta counts non-empty cells, and countblank counts empty cells, then apply countif and countifs to tally by cost center and by project using absolute references.
Learn to use wildcards in excel to count Paris occurrences with countif and countifs. Count six character names using six question marks and len.
Learn to count numbers greater than 50 with countif and countifs, use an if test to flag values, and apply conditional formatting to highlight and filter by color.
Learn to organize and split project data in Excel using Text to Columns and Flash Fill, separating delimited values and extracting year, month, and day.
Master vlookup to retrieve age, weight, and height by matching a name in the first column and returning values from subsequent columns, with exact match and key arguments explained.
Explore dynamic vlookup in Excel by leveraging the columns function to count columns, and apply absolute and relative references to create flexible, drag-ready lookup ranges for project data analysis.
Master approximate lookups in Excel using VLOOKUP to map values to weight ranges, return attributes from the third column, and understand exact vs approximate matches on a sorted list.
Use vlookup in Excel to map SPI values to a status label in MSP dashboards. Identify ranges like bad to ideal and reveal plan errors.
learn how to clean data in excel by using trim to remove extra spaces and apply vlookup with exact matching to ensure correct commission results.
Master VLOOKUP in tricky conditions by handling text-to-number conversions with value, using exact matches and absolute references, and error handling with iferror for dynamic project budgets and multi-column lookups.
Learn how to design combined vlookup formulas using the choose function to search across non-sequential data, creating dynamic lookup tables for project cost and part data.
Learn to combine index and match with dropdowns to dynamically retrieve schedule data from a grid, using exact matches for row and column lookups in project datasets.
Learn to use tables and pivot tables in Microsoft Excel for project data analysis and reporting, including formatting, filtering, totals, and slicers.
In construction projects, data is everywhere — but the real value comes from transforming raw project data into meaningful information for cost analysis, project control, and better decision-making.
This course is designed for Planning Engineers, Project Control Engineers, Civil Engineers, and Technical Office professionals who want to move beyond basic Excel usage and learn how to analyze real construction project data in a structured, practical, and job-focused way.
Unlike generic Excel courses, this course is built entirely around real construction project databases collected from multiple projects. You will work with practical project information including costs, invoices, progress data, weather conditions, cost centers, resources, and performance indicators.
Step by step, you will learn how to organize, clean, structure, and analyze construction project data using Excel tools and functions. Instead of learning isolated formulas, you will understand how Excel can be applied as a practical analytical tool in real project environments.
Throughout the course, you will learn how to build and manage project databases and use powerful Excel functions such as IF, SUMIF, SUMIFS, COUNTIF, COUNTIFS, VLOOKUP, INDEX/MATCH, and Pivot Tables to extract meaningful information from complex datasets.
You will develop practical systems for construction project analysis, including cost analysis, invoice analysis, performance tracking, data management, and permission-based logic systems based on real-world project conditions.
You will also learn how to improve data organization using Excel Tables, Data Validation, dynamic lists, filtering tools, and Pivot Tables to support project reporting and decision-making processes.
This course is fully based on realistic construction project data, meaning every concept is applied to engineering and project control scenarios rather than simple Excel examples.
What Makes This Course Different
Real construction project databases from multiple projects
Practical Excel applications for construction data analysis
Learning through realistic engineering and project control scenarios
Professional use of Excel formulas for project workflows
Cost, invoice, progress, and performance data analysis
Structured project data management techniques
Focus on practical skills used in construction environments
Main Topics Covered
Construction project database structure and data management
Excel Tables and efficient data organization
Logical functions and permission-based systems using IF
Project data analysis using SUMIF and SUMIFS
Cost and invoice analysis using COUNTIF and COUNTIFS
Data cleaning and text processing techniques
Professional data lookup using VLOOKUP
Advanced lookup methods using INDEX/MATCH and CHOOSE
Error handling with IFERROR
Dynamic lists and Data Validation
Pivot Tables for project data analysis
Practical reporting techniques using Excel tools
If you are a civil engineer, structural engineer, planning engineer, project control engineer, or technical office professional who wants to improve your ability to work with construction project data, this course will guide you step by step through a practical Excel-based workflow.
By the end of this course, you will be able to confidently manage construction project databases, analyze project information, extract valuable insights, and use Excel as a powerful tool for engineering and project control activities.
If you have any questions during the course, feel free to ask — I’m here to help you understand each concept step by step.