Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids
Loading...



Show all photos
Steven Lawrence
Bachelors degree
/ 55 min
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
Job readiness
Code Optimization
Exam prep
Upskilling
Debugging
Project help
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner types for coding classes
Coding for Kids
Coding for School students
Coding for Beginners
Coding for Adults
Coding for College students
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
Coding for kids
SQL

Coding concepts taught by Steven
The Tutor and Student worked with spreadsheet data, focusing on text manipulation techniques. They practiced using functions like SPLIT, TRIM, PROPER, TEXTJOIN, UPPER, and LOWER to clean, reformat, and split data. The next session is scheduled for Tuesday, June 2nd at 10 a.m.
Handling and Modifying Original Data
Text Join Function
Spreadsheet Data Splitting and Cleaning
The student and tutor worked on Excel, specifically focusing on the SUMIFS function for data analysis. The student successfully calculated total revenue per brand using SUMIFS and correctly implemented absolute referencing. They discussed future steps, including adding more criteria to the SUMIFS function and developing new analytical questions for the dataset.
SUMIFS Function
Absolute Referencing ($)
SUM vs. SUMIF vs. SUMIFS
Data Analysis & Question Generation
The tutor and student reviewed common text functions in spreadsheets and then practiced generating a dataset using AI. They applied `TEXTSPLIT` to parse data and began strategizing how to dynamically extract titles, first names, and last names from a full name column by analyzing spaces and using `LEN` and `SUBSTITUTE` functions.
TEXTSPLIT Function
FIND Function
LEN Function
SUBSTITUTE Function
Counting Spaces for Data Parsing
The student and tutor revisited advanced Excel functions, focusing on COUNTIFS, SUMIFS, FILTER, and VLOOKUP. They practiced building dynamic data analysis tools for offshore candidate identification, incorporating multiple criteria and an assumption-based rule set. The session concluded with troubleshooting VLOOKUP errors and the student saving their work to continue later.
COUNTIFS Function
SUMIFS Function
FILTER Function with Multiple Conditions
VLOOKUP for Assumption Checks
ROWS Function with FILTER
The Student and Tutor reviewed several Excel functions for data manipulation, including `TEXTSPLIT`, `CONCAT`, `TEXTJOIN`, `UPPER`, `LOWER`, `IF`, and `IFS`. They practiced formatting dates and applied conditional logic to categorize data. The Tutor also provided the Student with access to recorded lessons and practice files via Google Drive for future review.
Text Manipulation Functions: TEXTSPLIT
CONCAT
TEXTJOIN
Case Conversion Functions: UPPER and LOWER
Conditional Logic: IF and IFS Statements
Data Formatting: Numbers
Dates
and Currency
The student and tutor worked on creating and refining an output sheet in a spreadsheet program. They focused on using advanced Excel functions like VSTACK, FILTER, and IF statements to dynamically pull and organize data, assign responsibilities for adjustments, and handle potential data discrepancies, with plans to test the finalized sheet.
NESTED FUNCTIONS: FILTER
UNIQUE
VSTACK
Dynamic Data Filtering with FILTER
Conditional Logic with IF Statements
VLOOKUP with Calculated Ranges
Data Alignment and Reference Integrity
Approach & tools used by coding tutor
Visual Studio Code
Google Colab
Jupyter Notebook
Hands-on coding classes
Note taking
Pets are welcomed
Open Q&A
Weekend lessons
Parent feedback

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