Steven Lawrence
Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions
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Data Science tutor - Steven Lawrence
Bachelors degree
/ 30 min
About your data science tutor
Hello! I’m Steven, a tutor specializing in Microsoft Excel and VBA coding. With over 10 years of Excel expertise and 3+ years of solving real-world problems with VBA, I’ve automated workflows that boosted productivity by over 300%. I offer personalized coaching, project guidance, and a structured six-lesson series designed to prepare you for a professional career using Excel and VBA. Whether you're a student or a working professional, my step-by-step approach will help you master essential techniques, optimize workflows, and automate tasks effectively. My lessons foster confidence, creativity, and problem-solving skills in a relaxed learning environment. By working on projects that challenge and inspire you, you'll gain the expertise needed to apply Excel and VBA in real-world scenarios. Let’s elevate your skills together looking forward to helping you succeed!
Improved problem-solving skills
92% of students report faster problem-solving after lessons.
Project-based learning for real-world skills
90% of students complete relevant coding projects.
Focused on real-world coding applications
Build real projects, from apps to websites.
Data Science tutor skills
Data visualization
Assignment help
Business intelligence
Deep Learning
Data sciece class overview
My tutoring approach is rooted in solving real-world problems. Traditional Excel and VBA lessons often rely on basic examples that don’t translate effectively into practical scenarios. My goal is to bridge that gap, helping students develop the flexibility, creativity, and problem-solving skills needed to tackle complex challenges. I structure problem-solving into three key steps: WHAT, WHY, and HOW. First, we define WHAT—identifying the business rules shaping the project. Next, we explore WHY—understanding the purpose behind the task. Finally, we determine HOW—the implementation strategy. Many rush into execution without considering the what or why, leading to ineffective solutions. My approach ensures you design robust, scalable tools. A key part of my tutoring is a six-lesson series designed to prepare students for a professional role in tech. This structured program equips you with essential skills to efficiently manage data, automate workflows, and build solutions that withstand real-world demands. I prioritize building tools that are efficient and sustainable. Simple solutions are often the best, but they must hold up under real-world pressures. Through my training, you’ll gain expertise in Excel and VBA, making you a valuable asset in any professional setting. If you're ready to take the next step in mastering Excel and VBA for a career in tech, let's get started!
Your data science tutor also teaches
Data Analysis
Excel
Data Science concept taught by Steven
The session focused on expanding a chatbot's capabilities using Python by incorporating external libraries for dynamic language translation and integrating data structures (lists and dictionaries) to manage travel destinations. The Student implemented features to add, update, and delete destinations. The next step involves continuing to enhance the chatbot by developing additional functionalities.
Chatbot Interaction Flow and Error Handling
Package Installation using pip
Utilizing Chatbots for Text Translation and Data Management
Data Structures: Lists and Dictionaries for Travel Destinations
Expanding Chatbot Functionality Incrementally
Dynamic Translation with Google Translate
The Student and Tutor collaborated on designing a recruitment tracker spreadsheet in Excel. They discussed database design principles to efficiently manage and link candidate and requisition data. The session concluded with establishing a structure using separate sheets and establishing the links between the sheets.
Spreadsheet Design for Recruitment
Database-Inspired Model: Eliminating Data Duplication
Relationships: One-to-Many
Many-to-Many
Intermediary Table (Child Table)
Primary and Combined Primary Keys
Data Validation and Dropdown Lists
Interface Design and User Experience
The session involved enhancing a chatbot's travel recommendation logic using Python. The student implemented nested conditional statements and ternary operators to refine the chatbot's responses based on user input for budget, activities, and climate preferences. The student also prepared submission files including the code, sample interactions, and explanations of the code logic and challenges faced.
Chatbot Logic and Control Flow
User Input and Data Validation
Modular Programming with Functions
Ternary Operator
Nested Conditional Statements
The session covered data analysis and visualization in Python using xarray, NumPy, and Matplotlib. The Student practiced extracting data from netCDF files, creating plots, and defining custom functions. The session concluded with a discussion on presenting the code in a report format and scheduling the next lesson.
File Formats: netCDF vs. CSV
Importing and Using Libraries
Working with Data Arrays
Data Types and Nanoseconds
Plotting with Matplotlib
Creating Custom Functions
Masking and Filtering Data
The student and tutor worked on an Excel project involving phone configuration data. The student practiced using various Excel functions to calculate total configurations, probabilities, and analyze data based on given parameters and conditions. They also discussed the importance of table structures and proper formula construction for data analysis.
SUMIF and SUMIFS Functions
Product Function in Excel
Combinations and Permutations
Tables in Excel and Structured References
COUNTIF Function
Binomial Distribution
The Student and Tutor discussed mean, median, and mode and how outliers affect these measures, especially in skewed data. The Student practiced creating pivot tables and charts in Excel to analyze sales data, calculate average units sold, and determine the best and worst-selling brands. They also looked at the coefficient of variation to assess sales consistency and will work on creating a dashboard in the next session.
Best Selling Brand Analysis
Coefficient of Variation (COFV)
Pivot Tables: Average Unit Sold
Impact of Outliers
Mean vs. Median
Learner types for data science class
School
Adult/Professionals
All levels
College
Interactive data science classes
Parent feedback
Weekend lessons
Record lessons
Pets are welcomed
Chat for quick help
Teaching tools used by data science tutor
Google Colab
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
