Steven Lawrence
Coding Tutor from Thomas College - Python Lessons for Kids
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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
Upskilling
Code Optimization
Exam prep
Job readiness
Code Review
Homework 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 College students
Coding for Kids
Coding for Adults
Coding for Beginners
Coding for School 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 guided the student through practical data manipulation techniques in Google Sheets, including splitting data, using SUM and AVERAGE functions, and extracting unique values. They practiced applying formulas and discussed efficient methods for data analysis and spreadsheet organization. The session concluded with renaming the document for future reference.
Cell References and Formulas
Using Functions for Data Analysis (SUM
AVERAGE
UNIQUE)
Hiding Columns and Avoiding Data Loss
Data Splitting with the SPLIT Function
The Tutor guided the Student through troubleshooting Excel file access issues and demonstrated best practices for data management and reporting within Excel. They focused on optimizing the Student's workflow by showcasing efficient data structuring, dynamic reporting, and interface customization, particularly for financial record-keeping.
Excel Formula Bar and Cell Linking
Optimal Data Structuring in Excel
Excel Interface Customization
Excel File Management: Cloud vs. Local
The Student and Tutor explored the complexities of automating financial projections for grant funding. They discussed the challenges posed by inconsistent data formats, manual data entry, and the need for accurate forecasting to manage institutional resources. A potential solution involving a data structure revamp and automation was discussed as a long-term goal.
Challenges of Automation in Complex Financial Systems
The Critical Role of "Commitment" Data in Grant Management
The Manual Workflow of Grant Budget Management
Data Structure Challenges in Financial Reporting
The Student and Tutor reviewed essential Excel terminology and practical functions like the Format Painter. They practiced setting up bilingual documents using the TRANSLATE function and explored features for collaboration and document protection. The next session will involve analyzing financial statements.
Collaboration Features: Protection and Change Tracking
Page Layout and Printing in Excel
Excel's Translate Function
Format Painter Tool
Excel Interface and Definitions
The tutor and student worked on data analysis and spreadsheet functions using Google Sheets. They practiced data exploration, formatting, using AVERAGEIFS and UNIQUE functions, and applying filters. The session concluded with an introduction to dynamic dropdowns and COUNTIF functions for creating interactive reports, with plans for continued practice in future sessions.
Data Formatting in Spreadsheets
Data Validation for Dropdown Lists
Using Filters for Data Selection
AVERAGEIF and COUNTIF Functions
Data Exploration and Categorization
The tutor and student worked extensively with Excel pivot tables, practicing data generation, import, analysis, and formatting. They focused on asking and answering business questions through data manipulation and exploring calculated fields for custom analysis. The next session was scheduled for Tuesday.
Text to Columns Wizard
Creating and Utilizing Excel Tables
Pivot Table Fundamentals: Rows
Columns
Values
and Filters
Calculated Fields in Pivot Tables
Data Formatting and Naming Conventions
Approach & tools used by coding tutor
Visual Studio Code
Jupyter Notebook
Google Colab
Hands-on coding classes
Open Q&A
Pets are welcomed
Record lessons
Note taking
Parent feedback

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