Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids
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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 coding tutor - Steven
I am an experienced programmer with a passion for problem-solving and software development. With years of coding experience across multiple languages, including Python, I specialize in breaking down complex problems into clear, logical steps. My ability to analyze challenges and develop efficient solutions has helped me create robust applications, automate tasks, and optimize workflows. One of my key strengths is visualizing code execution—understanding how each function interacts within a system before implementation. This skill is especially valuable in Python, where data structures, algorithms, and logic flow play a critical role in building scalable solutions. I teach my students how to think beyond individual lines of code, helping them develop a strategic mindset for efficient programming. My structured six-lesson series is designed to prepare students for professional coding roles. Whether you’re aiming to start a career in tech or refine your programming skills, my approach ensures you gain a deep understanding of problem-solving strategies, debugging techniques, and real-world applications—especially in Python, one of the most versatile and powerful languages in the industry. If you’re looking for a tutor who can simplify programming, strengthen problem-solving abilities, and help you visualize what happens when code is executed, I’d love to work with you!
Coding tutor specialities
Exam prep
Upskilling
Homework help
Code Review
Job readiness
Debugging
Learner types for coding classes
Coding for Beginners
Coding for School students
Coding for Kids
Coding for College students
Coding for Adults
Coding class highlights
Programming is more than just writing code—it’s about designing solutions that are efficient, scalable, and adaptable. While implementation is important, code design is the foundation of a well-structured program. A strong design ensures code remains maintainable and capable of handling real-world challenges. I structure my teaching approach around three key steps: WHAT, WHY, and HOW. WHAT – We define the problem and establish business rules that shape the project. Clear objectives ensure smart design choices. WHY – We analyze the purpose behind each function or system. Understanding why a solution is needed guides decision-making. HOW – With the what and why established, we write clean, optimized code with confidence, prioritizing architecture over rushed implementation. I foster a relaxed, interactive learning environment where students feel comfortable asking questions and developing creative solutions. My lessons are project-based, focusing on topics that genuinely inspire each student—whether it's automation, data analysis, or web applications using Python. By prioritizing code design first, students gain the ability to visualize how their code functions before writing it. This leads to cleaner, more efficient programs that stand the test of time. My goal is to help students master the thought process behind coding, ensuring long-term success in any tech career.
Hands-on learning
Students gain confidence applying coding skills to real projects.
Paired coding for effective learning
90% of students benefit from collaborative lessons.
Proven success with code projects
85% of students complete personal projects in a few months.
Steven - Coding tutor also teaches
SQL
Coding for kids
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Coding concepts taught by Steven
The Student and Tutor worked extensively in Excel, focusing on data structuring, formula implementation (VLOOKUP, IF, ROUNDDOWN), and data analysis using pivot tables. They practiced troubleshooting and refining data presentation for reporting purposes, and discussed strategies for future data management and analysis projects.
Cell Referencing and Locking
Spreadsheet Formulas: VLOOKUP and IF
Pivot Tables: Data Aggregation and Summarization
Data Formatting for Readability and Analysis
The tutor and student worked through practical Excel applications, focusing on data anonymization techniques for HIPAA compliance and foundational Excel interface elements. They practiced creating placeholder data and using VLOOKUP functions, and the tutor provided definitions for key Excel terms and features.
Excel Interface: Tabs
Ribbon
and Sheets
Cell Addressing and Navigation
Save and Undo Functionality
HIPAA Compliance and Data Anonymization
Spreadsheet Design Principles
The student worked with the tutor to consolidate and analyze faculty data in Excel, focusing on using VLOOKUP, XLOOKUP, and SUMIFS functions. They practiced data manipulation techniques to create a comprehensive report, preparing for a follow-up session to build a dropdown interface for the data.
Data Validation and Dropdown Lists
SUMIFS Function for Multi-Criteria Analysis
VLOOKUP and Advanced Lookup Functions
Data Consolidation and Structuring
The Tutor guided the Student through various tabs and features in Microsoft Excel, covering data import and manipulation techniques, data integrity tools like Data Validation, and automation through macros. They also reviewed collaboration and protection features within Excel, and discussed navigating different workbook views.
Macros: Automating Repetitive Tasks
Protect Sheet and Workbook: Securing Your Data
Data Validation for Input Control
Remove Duplicates for Unique Data Sets
Data Import with Text to Columns
The student and tutor worked on advanced Excel techniques to analyze production and order data. They resolved data filtering issues, practiced creating and combining pivot tables, and refined data presentation for reporting. The next steps involve creating charts and exploring slicers for enhanced data visualization.
Data Filtering and Its Impact
Excel Formula Troubleshooting and Best Practices
Pivot Table Efficiency and Structure
Data Visualization for Business Insights
The student and tutor worked on building a task management system in Excel using VBA. They focused on setting up the workbook structure, implementing data validation for clients and dates, and creating dynamic dropdown lists. The session concluded with the initial setup of the 'Active Tasks', 'Client List', and 'Archive' sheets, with plans to refine functionality in future sessions.
Building a Task Management System in Excel
Data Validation in Excel
Excel Tables and Dynamic Data
VBA and Macros in Excel
Approach & tools used by coding tutor
Jupyter Notebook
Google Colab
Visual Studio Code
Hands-on coding classes
Record lessons
Pets are welcomed
Parent feedback
Open Q&A
Weekend lessons

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