Steven Lawrence
Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions
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Data Science tutor - Steven Lawrence
Bachelors degree
/ 30 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!
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.
Data Science tutor skills
Deep Learning
Assignment help
Business intelligence
Data visualization
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!
Your data science tutor also teaches
Data Analysis
Excel
Data Science concept taught by Steven
The session focused on streamlining data import from a CRM system into Excel. The student and tutor explored methods for automating data extraction, transformation, and loading. They discussed database normalization principles and practical Excel techniques for data manipulation and error handling. The goal is to automate the process of importing data, validating it, and generating reports for various business metrics. The student was assigned the task of gathering all required data headers from their CRM system to enable future automation.
Data Export and Import
Data Normalization
Excel Shortcuts and Techniques
Using 'IFERROR' Function
Text to Columns Feature
Excel Import Tool with Validation
The student learned advanced Excel techniques for data manipulation, including using the TRANSPOSE function dynamically and managing data integrity during deletions. The session covered sorting and formatting techniques to present data effectively. The Tutor provided a screenshot of the sorting criteria to help the student remember the settings.
Transposing Data with the TRANSPOSE Function
Best Practices for Deleting Data in Tables
Adding Values by Paste Special
Pasting Values and Formatting
Creating Formulas Using Concatenation
Sorting Data in Tables
Filtering Data by Color
The Tutor guided the Student in creating a dynamic Excel sheet for managing employee data. The Student learned how to use VLOOKUP formulas, data validation, and advanced sorting techniques to automate data organization and maintain consistency. The session concluded with setting up error handling and dropdown menus for easier data entry and validation.
Named Ranges
VLOOKUP Function
IFERROR Function
Excel Tables
Sorting Data
Data Validation Lists (Dropdowns)
The student and tutor worked on enhancing a recruitment spreadsheet tool. The student implemented data validation rules, default values, and improved user guidance through error messages. They also started designing the interface for connecting candidates with job requisitions, planning to implement the code in the next session.
Connecting Data Across Sheets
Enhancements: Candidate Sourcing and Candidate Classification
Data Validation and User Input in Spreadsheet Applications
Google Sheets Functionality
The student and tutor reviewed the steps of the data life cycle to build a regression model, focusing on feature engineering, data scaling, and train-test splitting. They analyzed correlation matrices and discussed the impact of data standardization. The student plans to complete the assignment, incorporating the discussed techniques and insights.
Data Life Cycle
Outlier Handling
Feature Scaling (Standardization)
Random Seed for Reproducibility
Importance of Context in Data Interpretation
Data Splitting: Train
Test
The session focused on designing an Excel-based cash flow management tool with dynamic features. The student and tutor worked through data structure, formula building, and user interface design. Follow-up includes the student preparing a spreadsheet with properly formatted and described headers to facilitate formula construction in the next session.
Automating Data Entry with VBA (Visual Basic for Applications)
Data Normalization for Efficient Spreadsheets
Error Handling in Complex Excel Formulas
Distinguishing Actual Transaction Date vs. Expected Payment Date
Dynamic Date Calculations Based on Lookup Tables
Spreadsheet Design Prioritization: Functionality
Ease of Use
Learner types for data science class
College
Adult/Professionals
All levels
School
Interactive data science classes
Parent feedback
Pets are welcomed
Open Q&A
Record lessons
Chat for quick help
Teaching tools used by data science tutor
Google Colab
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
