Steven Lawrence
Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions
Loading...



Show all photos
Steven Lawrence
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
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!
Data Science tutor skills
Business intelligence
Assignment help
Deep Learning
Data visualization
Learner types for data science class
College
All levels
School
Adult/Professionals
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!
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.
Your data science tutor also teaches
Data Analysis
Excel
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Data Science concepts taught by Steven
The Student and Tutor explored methods to improve the presentation and analysis of audit data using Excel. They focused on transforming raw data into user-friendly reports with visual indicators and discussed strategies for creating new tracking spreadsheets with automated calculations and conditional formatting.
Excel for Reporting & Visualization
Data Visualization for Comparison
Streamlining Data Entry & Analysis
Structuring Data for Audit Tracking
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
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.
CSV Data Import and Text to Columns
Excel Functions vs. Formulas
Sorting and Filtering Data
Data Formatting and Data Types
Excel Tables vs. Ranges
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.
Understanding SUMIF Arguments and Errors
Functions vs. Formulas in Excel
Optimizing Calculations: Avoiding Unnecessary Functions
Hardcoding vs. Relative References
Data Structure and Analysis Separation
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.
Excel Tables for Dynamic Data
Named Ranges in Excel
SUMIFS Function for Conditional Summation
COUNTIFS Function for Conditional Counting
If Statements and Logic in Excel
Filter Function to reduce duplicated outputs
Unique Function for distinct rows
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
Cleaning Data for Exact Matches
VLOOKUP for Data Extraction
ISNUMBER Function
IFS Function with Search
Teaching tools used by data science tutor
Google Colab
Interactive data science classes
Open Q&A
Note taking
Chat for quick help
Weekend lessons
Pets are welcomed

Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
