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
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Data visualization
Deep Learning
Business intelligence
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15-days refund
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1-yr validity
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Learner types for data science class
Data Science for advanced
Data Science for intermediate
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 Student and Tutor reviewed the XLOOKUP function, including optional parameters, nested lookups, and order of operations in complex formulas. They also discussed absolute vs. relative cell references, data cleaning with 'Text to Columns', and strategies for reconciliation in Excel, including potential pitfalls and the use of the COUNTIF function. The Student received intermediate and advanced XLOOKUP practice files and plans to gain hands-on experience with reconciliation data at their new job to inform future lessons.
Data Cleaning: Text to Columns
Absolute and Relative Cell References
Introduction to Excel Automation & VBA
Excel's Order of Operations
Nested XLOOKUPs for Multi-Step Retrieval
Reconciliation Strategies & Avoiding False Positives
XLOOKUP Function Fundamentals
The Student and Tutor practiced a multi-step Excel task involving copying data from August tabs into a combined sheet and refreshing pivot tables. They focused on essential data management techniques like checking for hidden columns, clearing filters, accurate data selection, and correct pasting methods. The Student successfully completed the process for two different data sets.
Cleaning 'Ghost' Data Rows
Data Consolidation Workflow & Pivot Table Refresh
Managing Hidden Columns
Efficient Range Selection (Ctrl + Shift + Down)
Data Visibility & Filter Management
The session focused on Python programming concepts including defining and calling functions, understanding variable scope, and debugging code execution flow using breakpoints. Student and Tutor also practiced handling user input, type conversion, and conditional logic within a number guessing game, alongside essential file management for saving and organizing Python scripts.
Python Functions: Definition and Calling
Online Python Development Environment
Understanding Code Execution Flow and Debugging
Variables and Data Types: String vs. Integer
Control Flow: While Loops and Conditional Statements
Basic Error Handling and Debugging Practices
The session focused on introducing fundamental Python programming concepts through a guessing game project. Initial time was spent troubleshooting Python installation issues on the Student's computer and exploring alternative online coding environments due to access restrictions. The Tutor then guided the Student through creating a simple guessing game, covering variables, random number generation, input/output, while loops, conditional statements, and f-strings, while emphasizing code readability for future learning.
Input Validation (.isdigit())
F-strings (Formatted String Literals)
Python Development Environment Setup
Variables and Data Types
Loops (while
break
continue)
Conditional Logic (if
The Student and Tutor focused on improving Excel proficiency for information management and document formatting. They reviewed methods for unhiding and unmerging cells, clearing formats, inserting/deleting columns, using freeze panes, and applying format painter. Discussions also covered printing gridlines, customizing the Excel ribbon, and leveraging data filters. For the next session, the Tutor plans to prepare a 'messy' Excel document for hands-on troubleshooting of printing, spacing, and layout issues.
Global Unhide & Resize for Columns/Rows
Clearing Formats
Contents
or All
Mastering Merged Cells
Understanding Delete & Insert Actions
Freeze Panes vs. Table Headers
Format Painter for Efficiency (Single vs. Double Click)
The Student and Tutor worked on an Excel file to analyze Robinhood stock transactions for tax purposes. They focused on extracting stock prices, integrating them using XLOOKUP, and applying complex conditional formulas to calculate taxable and untaxable gains/losses. The Student plans to review the calculated figures and formulas with their accountant for verification.
File Formats: CSV vs. XLSX in Data Handling
Leveraging AI for Financial Data Retrieval
Excel Data Transformation: Text to Columns
Efficient Data Lookup: XLOOKUP Function
Advanced Conditional Logic: Calculating Taxable Gain/Loss with IFS
Excel Data Organization & Formatting for Financial Analysis
Teaching tools used by data science tutor
Google Colab
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