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
Assignment help
Data visualization
Deep Learning
CoTutorAI 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 intermediate
Data Science for advanced
Data Science for beginners
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
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
The Student and Tutor reviewed intermediate Excel functions, including table creation, dynamic updates, and cross-sheet data referencing. They then transitioned to a comprehensive lesson on effective file management and organization, covering local folder structures and the benefits of cloud storage. The Student expressed a desire for future lessons to adopt a problem-based learning approach, applying Excel skills to real-world scenarios like financial statement analysis.
Excel Tables vs. Ranges for Data Management
Inter-Sheet Data Referencing in Excel
Structured File & Folder Organization
Document Version Control & Cloud Backup
Secure Password Management
The Student and Tutor reviewed the Student's independent work using the `SUMIFS` function in Excel. They then focused on modifying the `SUMIFS` formula to calculate "units sold" and applying `SUMIFS` with multiple criteria. The Student also learned how to use data filters to verify calculation results, and was assigned to complete the remaining "units sold" calculations as homework. The next session was scheduled.
Extending SUMIFS for Different Metrics
Dynamic Data Setup with 'Remove Duplicates'
Multi-Criteria SUMIFS for Granular Analysis
Essential Formula Debugging in Excel
Verifying Data Accuracy with Filters
Standard Number Formatting for Clarity
Student and Tutor continued working on an Excel project to identify and manage account discrepancies within a business context. They focused on refining complex spreadsheet formulas and data organization to streamline the identification of accounts needing performance adjustments, specifically utilizing XLOOKUP and IF statements for dynamic owner assignment and advanced data filtering. They also discussed setting up saved filter views for efficient data analysis, with the Student planning to apply these techniques.
Identifying Hidden Revenue Discrepancies
Dynamic Partner Assignment for Performance Adjustments
Configuring Auxiliary Lookup Tables for Flexibility
Handling Blank Rows and Errors with `IF` and `IFERROR`
Advanced Filtering with `FILTER` and Multiple Conditions (`OR`/`AND`)
Leveraging Filter Views for Personalized Reports
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Chat for quick help
Record lessons
Pets are welcomed
Weekend lessons
Open Q&A
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.