Steven Lawrence

Coding Tutor from Thomas College - Python Lessons for Kids

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Coding learning materials by Steven
Coding learning materials by Steven
Coding learning materials by Steven

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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 icon

Upskilling

Debugging icon

Debugging

Exam prep icon

Exam prep

Code Review icon

Code Review

Homework help icon

Homework help

Project help icon

Project help

CoTutorCoTutor

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

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Coding for beginners

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Coding for adults

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Coding for kids

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.

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Hands-on learning

Students gain confidence applying coding skills to real projects.

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Paired coding for effective learning

90% of students benefit from collaborative lessons.

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Proven success with code projects

85% of students complete personal projects in a few months.

Steven - Coding tutor also teaches

Coding for kids

Coding for kids

SQL

SQL

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Coding concepts taught by Steven

Student learned 1 day ago

The Student and Tutor practiced essential Excel skills required for a job test. They focused on data entry, editing, formatting numbers, applying basic formulas like the IF function, utilizing absolute references, and managing data through sorting and filtering. The session aimed to prepare the Student for practical Excel application in a professional context.

Efficient Data Analysis (Sort & Filter)

Mastering Absolute References ($F$4)

Conditional Logic with IF Function

Excel Structure Management (Rows

Columns

Resizing)

Data Entry & Manipulation Basics

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Student learned 2 days ago

The Student and Tutor engaged in a hands-on Excel practice session, covering a wide array of data manipulation, formatting, and analysis techniques. They practiced creating data, applying various cell and table formats, generating formulas, using Pivot Tables, and preparing data for printing. A follow-up session was scheduled for the next day to further prepare the Student for an upcoming test.

Excel Tables: Creation & Design

Data Persistence: Copy and Paste Values

Efficient Data Filling & Column Sizing

Formatting Dates and Currencies

Pivot Tables: Date Grouping & Value Aggregation

Conditional Formatting for Data Insights

Print Layout: Fitting to Page

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Student learned 3 days ago

Student and Tutor reviewed advanced Excel functions, covering how to create and modify pivot tables for data analysis, and techniques for managing, copying, and protecting worksheets and workbooks. They also discussed page layout and printing options in Excel. The session concluded with practice questions on VLOOKUP and INDEX MATCH functions.

Managing Worksheets (Insert

Delete

Move

Copy

Rename)

VLOOKUP vs. INDEX/MATCH for Data Retrieval

Worksheet & Workbook Protection

Page Layout & Printing in Excel

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Student learned 4 days ago

The Student and Tutor practiced various Excel functions and features, including `SUMIFS`, `VLOOKUP`, `INDEX-MATCH`, `IFERROR`, and logical `AND` statements. They also covered practical Excel skills such as cell referencing, conditional formatting, data sorting/filtering, tables, freeze panes, remove duplicates, and chart creation, all in preparation for an SHL assessment. The Tutor offered to provide the session recording and continue practice the following day.

Conditional Aggregation with SUMIFS

Excel Lookup Functions (VLOOKUP

INDEX MATCH)

Absolute and Relative Cell References

Text Extraction with LEFT and FIND

Logical Functions (AND

IFERROR)

Pivot Table Fundamentals for Data Aggregation

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Student learned 6 days ago

The Student and Tutor worked on Python programming, specifically focusing on `for` loops, the `range()` function, and f-strings for formatted output. They also practiced taking user input with the `input()` function and handling `TypeError` by converting string input to integers using `int()`. The session concluded with an introduction to robust input validation using `while True` and `try-except` blocks, with the plan to implement the full solution in the next session.

Controlling Loop Flow: `break` and Input Placement

Iterating with `for` Loops and `range()`

Understanding `range()` Exclusivity

Formatted String Literals (`f-strings`)

Data Type Conversion with `int()`

Basic Error Handling: `try-except` Blocks

Python Variables and Assignment

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Student learned 10 days ago

The Student and Tutor reviewed the XLOOKUP function, including optional parameters, nested lookups, and order of operations in complex formulas. They also discussed absolute vs. relative cell references, data cleaning with 'Text to Columns', and strategies for reconciliation in Excel, including potential pitfalls and the use of the COUNTIF function. The Student received intermediate and advanced XLOOKUP practice files and plans to gain hands-on experience with reconciliation data at their new job to inform future lessons.

Data Cleaning: Text to Columns

Absolute and Relative Cell References

Introduction to Excel Automation & VBA

Excel's Order of Operations

Nested XLOOKUPs for Multi-Step Retrieval

Reconciliation Strategies & Avoiding False Positives

XLOOKUP Function Fundamentals

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Approach & tools used by coding tutor

Visual Studio Code image

Visual Studio Code

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Google Colab

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Jupyter Notebook

Hands-on coding classes

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Chat for quick help

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Pets are welcomed

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Weekend lessons

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Parent feedback

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Record lessons

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