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
Assignment help
Upskilling
Project help
Homework help
Code Review
Learner types for coding classes
Coding for Adults
Coding for Kids
Coding for College students
Coding for School students
Coding for Beginners
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

Coding concepts taught by Steven
The Tutor and Student worked on advanced Excel techniques to analyze performance review data. They focused on creating dynamic data views using dependent dropdowns and implementing multi-criteria lookups with INDEX MATCH to efficiently retrieve reviewer scores and identify supervisor relationships, with plans to refine the presentation and analysis of the data.
Dependent Dropdown Lists in Spreadsheets
VLOOKUP vs. INDEX/MATCH for Multiple Criteria
Conditional Formatting for Visual Cues
Optimizing Spreadsheet Performance
The Tutor and Student comprehensively reviewed the features found within the Home tab of Microsoft Excel. The session covered topics from font and alignment to number formatting and conditional formatting. The Student plans to schedule another session to continue exploring the Excel ribbon.
Number Formatting and Data Types
Data Validation
Find and Replace
Text Wrapping and Merging Cells
Excel Home Tab Sections
Cell Alignment and Indentation
The session focused on understanding Excel spreadsheets, identifying data sources, and best practices for workbook design. The student reviewed existing spreadsheets, differentiating between hardcoded data and formula-driven results, and explored how to identify and work with pivot tables. Future sessions will involve gathering information on current processes to implement automation and streamline workflows.
Process Documentation for Automation
Excel Pivot Tables
Excel Formula Bar and Functionality
Excel Worksheet Structure and Data Entry
Excel Navigation and Screen Sharing
The Student practiced using Excel formulas such as `COUNTIF`, `SUMIF`, and `VLOOKUP` to analyze employee benefits data and extract meaningful insights. The session included a review of VLOOKUP and an introduction to a practice file. The Student will work on performance rating data in the coming week.
Lookup Reliability and Data Uniqueness
String Concatenation with CONCAT
VLOOKUP Functionality
COUNTIF vs. SUMIF
Data Aggregation and Uniqueness
VLOOKUP Function
Conditional Division with Error Prevention
IFERROR Function
IF and AND Functions
Efficient Autofilling
Data Structure Best Practices
The Tutor and Student worked on validating data input for a screening form and discussed modifying code to allow alphanumeric position IDs. The Student was assigned to generate ideas for different features based on application tiers. They scheduled the next session to continue working on these issues.
Data Validation
Data Prefilling (Populating Fields)
String vs. Numerical Comparison
Accepting Special Characters in Strings
Approach & tools used by coding tutor
Jupyter Notebook
Google Colab
Visual Studio Code
Hands-on coding classes
Weekend lessons
Open Q&A
Record lessons
Note taking
Chat for quick help

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