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
Data visualization
Deep Learning
Assignment help
Business intelligence
Learner types for data science class
All levels
College
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
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Data Science concepts taught by Steven
The student and tutor focused on Excel's data validation features, including named ranges and dropdown lists, and then transitioned to an introduction of Power Query for data automation. They practiced transforming and combining data from multiple reports to streamline a monthly billing process, with plans to continue this exploration in a subsequent session.
Data Cleaning in Power Query
Power Query Basics
Excel Tables
Data Validation Dropdowns
Named Ranges
The session covered advanced spreadsheet techniques, focusing on creating dynamic dashboards and optimizing data management. The student practiced setting up tables, dropdowns, and dynamic date filters, and learned to construct SUMIFS formulas for data aggregation within specified date ranges.
Table Data Types and Formatting
SUMIFS Function for Multi-Criteria Analysis
Dynamic Date Filtering
Spreadsheet Dashboards
The Tutor and Student focused on enhancing a candidate management system. They discussed implementing user profiles with email verification and resume links, improving the candidate profile interface for better data management and editing, and developing a system for active/inactive candidate statuses. The session also covered advanced UI/UX considerations like consolidated interfaces and custom reporting functionalities.
Candidate Profile Management
Duplicate Candidate Resolution
Interface Design and Navigation
Data-Driven Reporting and Automation
The Tutor and Student worked on implementing dependent dropdowns in Google Sheets. They configured category and subcategory dropdowns using formulas and helper sheets, and addressed the specific challenges of applying these within a table structure, including managing absolute references and adding rows.
Dependent Dropdowns in Google Sheets
Helper Sheet for Dynamic Filtering
FILTER Function for Dynamic Data Extraction
TRANSPOSE Function for Horizontal Layout
Dropdowns from a Range & Absolute References
Managing Data Growth and Row Addition
The Tutor and Student worked through advanced Excel techniques for creating population and sample datasets. This included using dynamic array functions for random sampling, data cleaning by removing duplicates, calculating specific date ranges, and applying VLOOKUPs. They planned to schedule another session to review a different, simpler assignment and work through it.
Nested Formulas in Excel
Dynamic Array Functions: TAKE and SORTBY
Date Manipulation in Excel: EOMONTH and Date Arithmetic
VLOOKUP for Data Retrieval
Data Cleaning: Removing Duplicates and Filtering
The student and tutor worked on setting up dynamic data filtering in Excel using the FILTER and TRANSPOSE functions. They configured a helper table to dynamically display subcategories based on a selected category and implemented dynamic data validation dropdowns. The session concluded with spreadsheet optimization and preparation for future use, with a follow-up session scheduled for the following Monday.
The FILTER Function
The TRANSPOSE Function
Creating Dynamic Dropdowns with Data Validation
Table Formatting and Named Ranges
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Chat for quick help
Record lessons
Parent feedback
Pets are welcomed
Open Q&A

Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
