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
Deep Learning
Data visualization
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 beginners
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
The Student and Tutor worked through complex accounting calculations in Excel to determine US and Puerto Rico sourced gains and losses on stock sales. They applied specific formulas based on purchase, residency change, and sale prices to two different datasets, debugging spreadsheet errors and adjusting for specific transaction types like calls and puts. The Student plans to review the calculated figures with their accountant.
Basic Computer Security: Windows Defender
Essential Spreadsheet Management for Tax Data
Handling Options (Calls & Puts) in Tax Calculations
Calculating Split Gains/Losses for Stocks
US vs. Puerto Rico Sourced Gains and Losses
Student and Tutor continued their Python programming session by focusing on lists, a fundamental data structure. They integrated list functionality into an existing number guessing game to track guesses and practiced various list manipulation methods such as `append`, `insert`, `pop`, `remove`, `reverse`, and `sort`. The next session will cover tuples.
Accessing List Elements by Index
Understanding Python Lists
Adding Elements to Lists: .append() and .insert()
Removing Elements from Lists: .pop() and .remove()
Reordering and Sorting Lists
The Student and Tutor practiced essential Excel skills required for a job test. They focused on data entry, editing, formatting numbers, applying basic formulas like the IF function, utilizing absolute references, and managing data through sorting and filtering. The session aimed to prepare the Student for practical Excel application in a professional context.
Efficient Data Analysis (Sort & Filter)
Data Entry & Manipulation Basics
Excel Structure Management (Rows
Columns
Resizing)
Conditional Logic with IF Function
Mastering Absolute References ($F$4)
The Student and Tutor engaged in a hands-on Excel practice session, covering a wide array of data manipulation, formatting, and analysis techniques. They practiced creating data, applying various cell and table formats, generating formulas, using Pivot Tables, and preparing data for printing. A follow-up session was scheduled for the next day to further prepare the Student for an upcoming test.
Data Persistence: Copy and Paste Values
Efficient Data Filling & Column Sizing
Formatting Dates and Currencies
Pivot Tables: Date Grouping & Value Aggregation
Excel Tables: Creation & Design
Conditional Formatting for Data Insights
Print Layout: Fitting to Page
Student and Tutor reviewed advanced Excel functions, covering how to create and modify pivot tables for data analysis, and techniques for managing, copying, and protecting worksheets and workbooks. They also discussed page layout and printing options in Excel. The session concluded with practice questions on VLOOKUP and INDEX MATCH functions.
Managing Worksheets (Insert
Delete
Move
Copy
Rename)
VLOOKUP vs. INDEX/MATCH for Data Retrieval
Worksheet & Workbook Protection
Page Layout & Printing in Excel
The Student and Tutor practiced various Excel functions and features, including `SUMIFS`, `VLOOKUP`, `INDEX-MATCH`, `IFERROR`, and logical `AND` statements. They also covered practical Excel skills such as cell referencing, conditional formatting, data sorting/filtering, tables, freeze panes, remove duplicates, and chart creation, all in preparation for an SHL assessment. The Tutor offered to provide the session recording and continue practice the following day.
Text Extraction with LEFT and FIND
Conditional Aggregation with SUMIFS
Excel Lookup Functions (VLOOKUP
INDEX MATCH)
Absolute and Relative Cell References
Logical Functions (AND
IFERROR)
Pivot Table Fundamentals for Data Aggregation
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Chat for quick help
Weekend lessons
Pets are welcomed
Parent feedback
Record lessons
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
