Steven Lawrence

Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions

4.8(129)

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Data Science learning materials by Steven
Data Science learning materials by Steven
Data Science learning materials by Steven

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Steven Lawrence

Bachelors degree

/ 55 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!

Data Science tutor skills

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Deep Learning

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Assignment help

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Business intelligence

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Data visualization

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AI modules

Summary

Podcast

Quiz

Learnings

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Zero Risk Guaranteed

15-days refund

Free tutor swap

No cancel fee

1-yr validity

24/7 support

Learner types for data science class

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School

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College

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All levels

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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!

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Improved problem-solving skills

92% of students report faster problem-solving after lessons.

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Project-based learning for real-world skills

90% of students complete relevant coding projects.

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Focused on real-world coding applications

Build real projects, from apps to websites.

Your data science tutor also teaches

Data Analysis

Data Analysis

Excel

Excel

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Data Science concepts taught by Steven

Student learned 2 days ago

The Student and Tutor worked on advanced Excel functions, specifically VLOOKUP and pivot tables, using multiple reports to extract and analyze data. They practiced importing data, applying VLOOKUP for data retrieval and calculations like total order price, and creating pivot tables for summarizing sales data. The next session is scheduled for the following Wednesday to continue their learning.

Data Cleaning and Preparation

Order Total Calculation

Pivot Tables for Data Summarization

VLOOKUP Function

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Student learned 5 days 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 6 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.

Data Preparation: Text to Columns

Relative vs. Absolute References

VLOOKUP Function: Core Principles

Understanding and Using Pivot Tables

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Student learned 7 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 7 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 8 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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Teaching tools used by data science tutor

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Google Colab

Interactive data science classes

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Record lessons

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Open Q&A

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Note taking

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Weekend lessons

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Pets are welcomed

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Data Science tutors on Wiingy are vetted for quality

Every tutor is interviewed and selected for subject expertise and teaching skill.