Steven Lawrence
Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions




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Steven Lawrence
Bachelors degree
/ 55 min
About your data science tutor
Hello! I’m Steven, a tutor specializing in Microsoft Excel and VBA coding. With over 10 years of Excel expertise and 3+ years of solving real-world problems with VBA, I’ve automated workflows that boosted productivity by over 300%. I offer personalized coaching, project guidance, and a structured six-lesson series designed to prepare you for a professional career using Excel and VBA. Whether you're a student or a working professional, my step-by-step approach will help you master essential techniques, optimize workflows, and automate tasks effectively. My lessons foster confidence, creativity, and problem-solving skills in a relaxed learning environment. By working on projects that challenge and inspire you, you'll gain the expertise needed to apply Excel and VBA in real-world scenarios. Let’s elevate your skills together looking forward to helping you succeed!
Data Science tutor skills
Business intelligence
Deep Learning
Assignment help
Data visualization
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 types for data science class
Data Science for beginners
Data Science for intermediate
Data Science for advanced
Data sciece class overview
My tutoring approach is rooted in solving real-world problems. Traditional Excel and VBA lessons often rely on basic examples that don’t translate effectively into practical scenarios. My goal is to bridge that gap, helping students develop the flexibility, creativity, and problem-solving skills needed to tackle complex challenges. I structure problem-solving into three key steps: WHAT, WHY, and HOW. First, we define WHAT—identifying the business rules shaping the project. Next, we explore WHY—understanding the purpose behind the task. Finally, we determine HOW—the implementation strategy. Many rush into execution without considering the what or why, leading to ineffective solutions. My approach ensures you design robust, scalable tools. A key part of my tutoring is a six-lesson series designed to prepare students for a professional role in tech. This structured program equips you with essential skills to efficiently manage data, automate workflows, and build solutions that withstand real-world demands. I prioritize building tools that are efficient and sustainable. Simple solutions are often the best, but they must hold up under real-world pressures. Through my training, you’ll gain expertise in Excel and VBA, making you a valuable asset in any professional setting. If you're ready to take the next step in mastering Excel and VBA for a career in tech, let's get started!
Improved problem-solving skills
92% of students report faster problem-solving after lessons.
Project-based learning for real-world skills
90% of students complete relevant coding projects.
Focused on real-world coding applications
Build real projects, from apps to websites.
Your data science tutor also teaches
Data Analysis
Excel

Data Science concepts taught by Steven
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)
The Student and Tutor practiced advanced Excel functions for a sample exam. They worked on database queries using the `DAVERAGE` function, corrected formulas for calculating age and years of service, and developed logic for conditional birthday messages by comparing only the day and month of dates.
D-Functions for Database Queries with Criteria
Precise Age and Years of Service Calculations
Crafting Dynamic Birthday and Anniversary Alerts
The Student and Tutor worked on an Excel task involving data consolidation. They practiced filtering appointment data for June 2026 from two separate sheets, copying the filtered data, and pasting it into a combined tab. The session concluded with refreshing a pivot table to update it with the newly added data.
Efficient Data Selection and Copying
Appending Data to a Combined Sheet
Updating Excel Pivot Tables
Applying and Clearing Excel Filters
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Chat for quick help
Parent feedback
Note taking
Pets are welcomed
Record lessons

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