Steven Lawrence
Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions
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Steven Lawrence
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
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
Assignment help
Data visualization
Business intelligence
Deep Learning
Learner types for data science class
All levels
School
College
Adult/Professionals
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 collaborated to enhance a spreadsheet used for managing subcontractor payments, focusing on automating workman's compensation withholdings and differentiating data by year. The session involved the practical application of VLOOKUP and SUMIFS formulas. The Student began restructuring the spreadsheet to improve scalability, with plans to continue this work and refine the new consolidated input and summary sheets.
IF Function with VLOOKUP
SUMIFS Function
Data Validation with Dropdowns
Tables for Structured Data
Withholding Calculations and Summaries
Structuring Sheets for Scalability
VLOOKUP Function
The session focused on refining CRM reporting processes, particularly consolidating reports, managing cash flow, and integrating new data journeys. The student explored how to create a unified report for easier data import and discussed tracking clawbacks and managing lead costs. They planned to test the new journey system and to define specific report requirements for salesman performance in future sessions.
CRM Reporting and Data Extraction
CRM Tool Functionality and Customization
Cash Flow Forecasting and Discrepancy Analysis
Commission Payment Terms
Clawback Management
Lead Status Tracking and Interpretation
The session involved enhancing a software application through validation and data management improvements. The student and tutor worked on implementing validation rules for position creation and prefilling data on the screening page. They also discussed building an audit log to track historical changes within the application. The next steps involve finishing validation on screening inputs, prefilling data, and building the audit log.
Audit Log Implementation
Unique Position IDs
Salary Validation During Position Creation
Prefilling Screening Data
The Student and Tutor collaborated to set up a custom tool designed to generate profit and loss statements in PDF format using data extracted from Simplify. The Student practiced exporting data, creating PDF reports with specific date ranges, and saving the files. The Tutor is providing a written summary of the spoken instructions for future reference.
Invoice Payment via SquareUp
PDF Creation Tool Setup
Generating Profit and Loss Statements
Overwriting and Managing PDF Reports
Modifying Source Data Before PDF Creation
Accessing the Tool and Support Information
The Student and Tutor worked on improving an Excel spreadsheet to accurately compare hire dates and calculate vacation and sick days based on employee seniority. They identified issues with the initial VLOOKUP implementation and implemented more robust solutions using IF statements and data formatting techniques. The Tutor recommended practicing the new formulas on similar spreadsheets.
Data Type Formatting and Conversion
VLOOKUP Limitations and Exact Matches
Absolute vs. Relative Cell References
Nested IF Statements (IFS)
Combining VLOOKUP with Categorization
The Student and Tutor reviewed `SUMIFS`, `AVERAGEIFS`, and `COUNTIFS` functions in Excel and Google Sheets for data analysis. The Student practiced applying these functions to a rental property expense tracker and implemented data validation. The next session will focus on calculating workers' compensation withholdings based on contractor payments.
SUMIFS Function
IFERROR Function
Data Validation
Table Naming & References
COUNTIFS Function
AVERAGEIFS Function
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Record lessons
Chat for quick help
Weekend lessons
Parent feedback
Open Q&A
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
