Steven Lawrence

Computer Science Tutor at Thomas College: Specializing in Programming & Databases

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Computer Science learning materials by Steven
Computer Science learning materials by Steven
Computer Science learning materials by Steven

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Steven Lawrence

Bachelors degree

/ 55 min

Steven - Know your tutor

I am an experienced VBA developer with a deep understanding of Microsoft Access and database management. Over the years, I have built efficient, scalable solutions that streamline data processing, automate workflows, and enhance business operations. My expertise lies in designing structured, optimized databases that ensure seamless data retrieval and manipulation. One of my key strengths is breaking down complex problems into logical, manageable steps. Whether it’s designing relational database structures, optimizing queries, or automating reports with VBA, I focus on creating solutions that are both powerful and user-friendly. I teach my students how to visualize code execution, ensuring they understand how each function interacts within the database before implementation. My structured six-lesson series is designed to equip students with the skills needed to confidently work with Microsoft Access and VBA. From designing tables and queries to automating processes with macros and custom functions, my approach ensures students gain practical, real-world experience. If you're looking for a tutor who can simplify VBA and database management, enhance problem-solving abilities, and help you master Microsoft Access, I’d love to work with you!

Programming tutor specialities

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Assignment help

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Job readiness

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Project help

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Debugging

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Code Optimization

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AI modules

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Podcast

Quiz

Learnings

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Learner for programming class

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Middle School students

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College students

Programming class overview

Mastering VBA and Microsoft Access requires more than just learning syntax—it’s about designing efficient, scalable database solutions. My tutoring approach focuses on problem-solving, code design, and real-world application, ensuring students gain practical skills that translate directly into professional environments. I structure my lessons around three key steps: WHAT, WHY, and HOW. WHAT – We define the problem and identify the business rules shaping the project. A well-structured database starts with clear objectives, ensuring every table, query, and function serves a purpose. WHY – We analyze the reasoning behind each design choice. Understanding why certain database structures and VBA automation techniques are used helps students develop a strategic mindset, making their solutions more effective. HOW – Finally, we focus on execution. With the what and why established, we confidently implement VBA code and database structures optimized for performance and scalability. I foster a relaxed, interactive learning environment where students feel comfortable asking questions and exploring creative solutions. My lessons are project-based, centered around topics that genuinely interest each student—whether it’s automating reports, optimizing data entry, or designing relational databases in Microsoft Access. By prioritizing code design first, students learn to visualize how their VBA code interacts with the database before writing it. This leads to cleaner, more efficient programs that withstand real-world demands. My goal is to help students master Microsoft Access and VBA, ensuring they can confidently build professional-grade database solutions. Let’s create something powerful together!

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Expert in debugging code

Breaks down coding issues into manageable steps.

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Rated highly for assignment help

Clear, step-by-step support for assignments.

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Highly rated for problem-solving approach

95% of students improve problem-solving skills and speed.

Your programming tutor also teaches

Databases

Databases

Visual Basic

Visual Basic

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Computer Science concepts taught by Steven

Student learned 9 days ago

The Student and Tutor worked on an Excel file to analyze Robinhood stock transactions for tax purposes. They focused on extracting stock prices, integrating them using XLOOKUP, and applying complex conditional formulas to calculate taxable and untaxable gains/losses. The Student plans to review the calculated figures and formulas with their accountant for verification.

Excel Data Transformation: Text to Columns

Efficient Data Lookup: XLOOKUP Function

Advanced Conditional Logic: Calculating Taxable Gain/Loss with IFS

Excel Data Organization & Formatting for Financial Analysis

File Formats: CSV vs. XLSX in Data Handling

Leveraging AI for Financial Data Retrieval

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Student learned 11 days ago

The Student and Tutor reviewed core Python concepts, including variables, various arithmetic and logical operators, and the `print()` function. The session included practical examples and discussions on comparison and logical operations, preparing the Student for hands-on coding. As follow-up, the Student was tasked with installing Python and VS Code and preparing a simple project idea for their next class.

Identity and Membership Operators

The `len()` Function and Boolean Values

Relational (Comparison) Operators

Advanced Division & Modulo

Basic Arithmetic Operators

Variables and Assignment

Logical Operators (`and`

`or`

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Student learned 12 days ago

The Student and Tutor continued building an Excel spreadsheet to calculate stock gains and losses for tax reporting, specifically focusing on distinguishing between total gains and taxable gains prior to January 1, 2025. They developed and refined formulas using `SEARCH`, `LEFT`, and `IF` functions to extract data and apply conditional logic for financial calculations. The Student will continue populating another spreadsheet, and they plan to meet again to continue refining the analysis.

Conditional Logic for Taxable Gains (IF Function)

Aggregating Data with SUMIFS (Concept Introduced)

Understanding Excel File Types (CSV vs. XLSX)

Calculating Gain/Loss Per Share

Extracting Numeric Data from Text (LEFT & SEARCH Functions)

Excel Data Auto-Fitting

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Student learned 19 days ago

The Tutor introduced fundamental Python programming concepts including functions, basic arithmetic operators, and data types. The Student practiced using the `print()` function for output, performing calculations, and understanding the difference between data types like integers and strings. The session concluded with an introduction to variables, emphasizing their role in storing and manipulating data dynamically, and the Tutor offered to share resources for setting up a Python development environment.

Variables

Data Types

Basic Arithmetic Operators

The Print Function

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Student learned 20 days ago

The Student and Tutor worked through complex Excel formulas, focusing on dynamic data analysis using functions like FILTER, XLOOKUP, and IF.ERROR. They practiced building flexible models with checkboxes for scenario planning and discussed best practices for creating reusable spreadsheet solutions, aiming to improve efficiency and reduce errors in future analyses. The next session will continue exploring these concepts.

VLOOKUP vs. XLOOKUP

Dynamic Array Functions (FILTER

ROWS)

Avoiding Hardcoding with Named Ranges and Cell References

Nesting Functions (IFERROR

SUM

CHOOSE.COLUMNS)

Understanding 'Spill' Errors

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Student learned 25 days ago

The tutor introduced a beginner student to Python programming, focusing on data cleaning techniques using a practical example. The student learned about identifying and resolving data inconsistencies, missing values, and formatting issues in a CSV file through a Python script, with plans to continue with further lessons.

What is "Dirty Data"?

Python for Data Cleaning: Core Operations

The Data Lifecycle: From Raw to Insight

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Teaching tools used by tutor

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Visual Studio Code

Dynamic programming 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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Pets are welcomed

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