Steven Lawrence
Computer Science Tutor at Thomas College: Specializing in Programming & Databases




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Steven Lawrence
Bachelors degree
/ 55 min
Steven - Know your tutor
I am an experienced VBA developer with a deep understanding of Microsoft Access and database management. Over the years, I have built efficient, scalable solutions that streamline data processing, automate workflows, and enhance business operations. My expertise lies in designing structured, optimized databases that ensure seamless data retrieval and manipulation. One of my key strengths is breaking down complex problems into logical, manageable steps. Whether it’s designing relational database structures, optimizing queries, or automating reports with VBA, I focus on creating solutions that are both powerful and user-friendly. I teach my students how to visualize code execution, ensuring they understand how each function interacts within the database before implementation. My structured six-lesson series is designed to equip students with the skills needed to confidently work with Microsoft Access and VBA. From designing tables and queries to automating processes with macros and custom functions, my approach ensures students gain practical, real-world experience. If you're looking for a tutor who can simplify VBA and database management, enhance problem-solving abilities, and help you master Microsoft Access, I’d love to work with you!
Programming tutor specialities
Project help
Job readiness
Upskilling
Assignment help
Debugging
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner for programming class
Middle School students
College students
Programming class overview
Mastering VBA and Microsoft Access requires more than just learning syntax—it’s about designing efficient, scalable database solutions. My tutoring approach focuses on problem-solving, code design, and real-world application, ensuring students gain practical skills that translate directly into professional environments. I structure my lessons around three key steps: WHAT, WHY, and HOW. WHAT – We define the problem and identify the business rules shaping the project. A well-structured database starts with clear objectives, ensuring every table, query, and function serves a purpose. WHY – We analyze the reasoning behind each design choice. Understanding why certain database structures and VBA automation techniques are used helps students develop a strategic mindset, making their solutions more effective. HOW – Finally, we focus on execution. With the what and why established, we confidently implement VBA code and database structures optimized for performance and scalability. I foster a relaxed, interactive learning environment where students feel comfortable asking questions and exploring creative solutions. My lessons are project-based, centered around topics that genuinely interest each student—whether it’s automating reports, optimizing data entry, or designing relational databases in Microsoft Access. By prioritizing code design first, students learn to visualize how their VBA code interacts with the database before writing it. This leads to cleaner, more efficient programs that withstand real-world demands. My goal is to help students master Microsoft Access and VBA, ensuring they can confidently build professional-grade database solutions. Let’s create something powerful together!
Expert in debugging code
Breaks down coding issues into manageable steps.
Rated highly for assignment help
Clear, step-by-step support for assignments.
Highly rated for problem-solving approach
95% of students improve problem-solving skills and speed.
Your programming tutor also teaches
Databases
Visual Basic

Computer Science concepts taught by Steven
The tutor introduced a beginner student to Python programming, focusing on data cleaning techniques using a practical example. The student learned about identifying and resolving data inconsistencies, missing values, and formatting issues in a CSV file through a Python script, with plans to continue with further lessons.
What is "Dirty Data"?
Python for Data Cleaning: Core Operations
The Data Lifecycle: From Raw to Insight
The tutor guided the student through data consolidation and updating procedures using Excel within a reporting software. They practiced copying and pasting data, troubleshooting display issues with pivot tables, and refreshing data for accurate reporting, with a focus on ensuring data visibility and integrity.
Excel: Unhiding Columns and Adjusting Column Widths
Excel: Refreshing Pivot Tables for Updated Data
Excel: Copying and Pasting Data with Shortcuts
Excel: Using Data Filters and the 'Clear' Function
Excel: Adjusting Decimal Places and Understanding Auto-Rounding
Excel: Identifying Open Files via Taskbar Indicators
Screen Sharing Best Practices
Student and Tutor discussed strategies for organizing financial data in Google Sheets, including distinguishing between personal, work, and business expenses. They implemented an automated ID generation formula and refined the process for importing bank statement data from CSV files. Future sessions will focus on building automated data transformations using Power Query to streamline data entry from various bank sources.
Data Source Simplification & Single Source of Truth
Dynamic Unique ID Generation in Google Sheets
Optimizing Bank Statement Imports: CSV vs. PDF
Essential Data Transformations for Clean Imports
Introduction to Power Query for Automated Transformations
The Student and Tutor worked on enhancing an expense tracking system in Google Sheets. They implemented advanced `FILTER` and `CHOOSECOLS` functions to create a dynamic "Refund Status" sheet and extensively debugged a Google Apps Script to automate the updating and removal of paid refundable expenses. The Tutor shared an updated calendar link for planning future sessions.
Refining Dynamic Filters for Real-time Updates
Google Apps Script for Inter-Sheet Data Synchronization
Dynamic Data Extraction with Google Sheets Functions
Principles of Custom Financial Tracking
AI's Role and Limitations in Data Automation
Student and Tutor discussed foundational and advanced Excel functionalities. They practiced combining text from cells and thoroughly explored the differences and best practices for using "Merge & Center" versus "Center Across Selection." The Tutor also provided a demonstration of a complex, custom-built Excel application and explained the advantages of using Excel Tables for dynamic data management.
Center Across Selection: A Safer Alternative to Merging
Embracing Best Practices & Critical Feature Use
Excel as a Powerful Application Development Platform
Dynamic Excel Tables vs. Static Ranges
Merge & Center: Understanding Its Power and Pitfalls
Combining Text & Data Safely
The session commenced with the Tutor and Student performing audio checks. The Student then mentioned a specific problem they had discussed with their professor, indicating that the class was about to focus on reviewing or solving this particular academic challenge with the Tutor.
Remote Class Setup & Audio Verification
Proactive Problem Follow-up
Readiness for Interactive Presentation (Screen Sharing)
Teaching tools used by tutor
Visual Studio Code
Dynamic programming classes
Note taking
Weekend lessons
Pets are welcomed
Record lessons
Open Q&A

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