Steven Lawrence

Coding Tutor from Thomas College - Python Lessons for Kids

4.8(129)

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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

Job readiness icon

Job readiness

Debugging icon

Debugging

Code Review icon

Code Review

Assignment help icon

Assignment help

Project help icon

Project help

Exam prep icon

Exam prep

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 School students

Coding for Adults icon

Coding for Adults

Coding for College students icon

Coding for College students

Coding for Kids icon

Coding for Kids

Coding for Beginners icon

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.

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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 about 24 hours ago

The tutor guided the student through using Excel's translation function, formatting spreadsheets for financial statement analysis, and performing horizontal and vertical checks on an income statement. They also discussed data management strategies, with a future session planned to delve deeper into file organization techniques.

Excel Translation Function

Excel Tables vs. Word Outlines

Creating and Formatting Spreadsheets for Printing

Financial Statement Analysis: Horizontal and Vertical Checks

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Student learned 3 days ago

The Tutor and Student reviewed and practiced VLOOKUP functions in Excel, focusing on data preparation, formula construction, and error troubleshooting. They also began exploring relative and absolute cell references for scaling calculations, with plans to revisit pivot tables in a future session.

VLOOKUP Function: Core Principles

Understanding and Using Pivot Tables

Data Preparation: Text to Columns

Relative vs. Absolute References

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Student learned 3 days ago

The student and tutor worked through practical exercises in Google Sheets, focusing on data manipulation and advanced functions like SUMIF. They practiced generating datasets using AI, cleaning and splitting data, and applying SUMIF to calculate totals based on specific criteria, with plans to continue this practice in the next session.

Data Validation for Exact Matching

Data Splitting with the SPLIT Function

Dynamic Summation with SUM(Column)

Conditional Summation with SUMIF

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Student learned 4 days ago

The Tutor and Student worked on refining Excel formulas for data analysis, specifically focusing on creating unique lists of accounts and associated personnel, and accurately calculating associated costs. They also troubleshooted formula errors and discussed methods for handling discrepancies and errors in the data, planning to build an output sheet for reconciliation in the next session.

Dependent Dropdowns (Conditional Dropdowns)

VLOOKUP with Exact Match

SUMIFS for Conditional Aggregation

Unique Function for Data Cleaning

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Student learned 5 days ago

The student and tutor worked through a complex Excel data reconciliation task using real-time financial data. They practiced advanced techniques like data alignment, formula implementation (IF statements), error identification, and formatting. The next session will involve a repeat of this process for reinforcement.

Conditional Logic with IF Statements

Identifying Data Relationships and Linkages

Data Reconciliation and Merging

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Student learned 5 days ago

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.

Using Functions for Data Analysis (SUM

AVERAGE

UNIQUE)

Hiding Columns and Avoiding Data Loss

Cell References and Formulas

Data Splitting with the SPLIT Function

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Approach & tools used by coding tutor

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Jupyter Notebook

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Google Colab

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Visual Studio Code

Hands-on coding classes

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Note taking

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Chat for quick help

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Parent feedback

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Weekend lessons

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Record lessons

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