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

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Project help

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Job readiness

Debugging icon

Debugging

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Upskilling

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Code Review

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Code Optimization

Learner types for coding classes

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Coding for Beginners

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Coding for School students

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Coding for College students

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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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15 days Refund

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Coding concepts taught by Steven

Student learned 1 day ago

The student and tutor focused on improving Excel performance by addressing issues with conditional formatting and practicing advanced pivot table creation. They explored methods to troubleshoot crashing files, optimize data analysis through pivot tables, and implement calculated fields for richer insights. The session concluded with plans to continue these Excel skills in the following week.

Conditional Formatting and Performance

Pivot Table Creation and Manipulation

Excel File Performance Issues

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Student learned 2 days ago

The Student and Tutor reviewed essential Excel skills, beginning with data import and structure using the 'Text to Columns' feature. They then focused on transforming data ranges into Excel Tables, highlighting the benefits of tables for data management, filtering, sorting, and dynamic formulas. The session concluded with an introduction to basic formulas and conditional functions like SUM and SUMIFS.

Sorting and Filtering Data

Excel Functions vs. Formulas

Data Formatting and Data Types

Excel Tables vs. Ranges

CSV Data Import and Text to Columns

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Student learned 3 days ago

The student and tutor reviewed and optimized Excel formulas, distinguishing between functions and formulas. They practiced using `SUMIF` and addressed errors related to incorrect arguments and data structure, with the student assigned homework to correct specific formulas using relative references and avoiding hardcoding.

Functions vs. Formulas in Excel

Optimizing Calculations: Avoiding Unnecessary Functions

Understanding SUMIF Arguments and Errors

Hardcoding vs. Relative References

Data Structure and Analysis Separation

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Student learned 5 days ago

The Student and Tutor discussed advanced Excel functions for HR data analysis. The Student learned about using named ranges and dynamic tables for efficient data updating, as well as `SUMIFS` and `COUNTIFS` for data aggregation based on multiple criteria. The next steps include practicing these functions and building summary tables with dropdown filters based on a sample project.

Filter Function to reduce duplicated outputs

Named Ranges in Excel

Excel Tables for Dynamic Data

SUMIFS Function for Conditional Summation

COUNTIFS Function for Conditional Counting

If Statements and Logic in Excel

Unique Function for distinct rows

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Student learned 6 days ago

The Tutor guided the Student through using `IFS`, `SEARCH`, `ISNUMBER` and `VLOOKUP` in Excel to extract data based on a priority and assign compliance values. The Student reviewed initial steps, including cleaning and sorting data using `TEXTJOIN` and `FILTER` functions. The Student will review a previous lesson with their instructor on Tuesday, but requested an extension to include this lesson as well.

Text Join and Filter Function

IFS Function with Search

ISNUMBER Function

VLOOKUP for Data Extraction

Cleaning Data for Exact Matches

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Student learned 7 days ago

The student and tutor reviewed advanced Excel features, including efficient sheet duplication, formatting techniques, layout optimization, and controlled printing. They practiced these skills to prepare a standardized template for future use, with the student actively participating in the demonstrations.

Formatting for Clarity and Printability

Creating Reusable Excel Templates

Understanding Excel Calculation Settings

Excel Sheet Duplication Methods

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Approach & tools used by coding tutor

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Jupyter Notebook

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Visual Studio Code

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Google Colab

Hands-on coding classes

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Parent feedback

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Weekend lessons

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Note taking

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Open Q&A

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Chat for quick help

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