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
Deep Learning
Data visualization
Business intelligence
Assignment help
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
College
All levels
Adult/Professionals
School
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 student and tutor worked through practical Excel challenges related to financial record-keeping. They practiced using spreadsheet functions, understanding cell behavior, interpreting formulas, and troubleshooting file sharing issues. The session concluded with scheduling a follow-up to address further Excel-related questions.
Excel Screen Sharing and Navigation
Excel Formula Bar and Cell Referencing
File Transfer Methods and Email Attachments
Excel Application vs. Browser Version
The Tutor introduced Pivot Tables in Excel, covering their creation, use of fields (Rows, Columns, Values, Filters), and the importance of structuring data as an Excel Table. They practiced renaming field headers for clarity and demonstrated filtering data by date. The session concluded with a discussion on applying these skills in a finance and accounting context and planning for hands-on practice.
Using Filters for Granular Analysis
Introduction to Pivot Tables
Pivot Table Fields: Rows
Columns
Values
Filters
Refreshing and Updating Pivot Tables
Customizing Pivot Table Headers
The student and tutor worked on troubleshooting an Excel pivot table and associated year-over-year report that was not displaying data correctly. They focused on identifying and resolving issues caused by blank rows, incorrect data formatting, and improper refresh procedures, ultimately restoring the report's functionality. The tutor provided guidance on data input and pivot table management for future reference.
Pivot Table Refresh Mechanism
Handling Blank Rows in Data
Data Sorting and Filtering for Accuracy
Pivot Table Field List and Data Grouping
The student and tutor reviewed and practiced advanced Excel functions, including the `COUNTIF` function with absolute referencing. They also worked on data manipulation techniques such as creating tables, sorting, and filtering data, and formatting dates for proper chronological analysis. The student is scheduled to meet again in two weeks.
COUNTIF Function with Absolute Referencing
Excel Tables: Automatic Expansion and Formula Propagation
Using Filters for Sorting and Hiding Data
Formatting Dates as Text for Custom Sorting
The student and tutor discussed the complexities of grant financial management and effort allocation across multiple projects with staggered grant cycles. They explored challenges in data structuring, compliance with grant rules, and the need for accurate financial projections, with a focus on how these issues are managed using spreadsheets and data analysis.
Effort Allocation and Reporting
Data Management and Automation in Research Administration
Indirect Cost (IDC) Management
Grant Budget Allocation Challenges
The student and tutor reviewed Excel functionalities, covering data formatting, cell references (relative and absolute), and essential functions like SUM, AVERAGE, and COUNTIF. They practiced calculations for property tax and market analysis, and the tutor introduced Google Sheets as a free alternative for hands-on practice in upcoming sessions.
Conditional Counting: COUNTIF
Cell Formatting and Values
Cell References: Relative vs. Absolute
Introduction to Google Sheets
Spreadsheet Functions: SUM
COUNT
AVERAGE
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Pets are welcomed
Chat for quick help
Weekend lessons
Record lessons
Open Q&A

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Every tutor is interviewed and selected for subject expertise and teaching skill.
