Steven Lawrence

Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions

4.8(129)

Free trial in 24 hr

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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

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

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Data visualization

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Deep Learning

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Assignment help

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Business intelligence

Learner types for data science class

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All levels

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College

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Adult/Professionals

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School

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

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Data Science concepts taught by Steven

Student learned about 2 hours ago

The student and tutor focused on Excel's data validation features, including named ranges and dropdown lists, and then transitioned to an introduction of Power Query for data automation. They practiced transforming and combining data from multiple reports to streamline a monthly billing process, with plans to continue this exploration in a subsequent session.

Data Cleaning in Power Query

Power Query Basics

Excel Tables

Data Validation Dropdowns

Named Ranges

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Student learned about 3 hours ago

The session covered advanced spreadsheet techniques, focusing on creating dynamic dashboards and optimizing data management. The student practiced setting up tables, dropdowns, and dynamic date filters, and learned to construct SUMIFS formulas for data aggregation within specified date ranges.

Table Data Types and Formatting

SUMIFS Function for Multi-Criteria Analysis

Dynamic Date Filtering

Spreadsheet Dashboards

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Student learned about 5 hours ago

The Tutor and Student focused on enhancing a candidate management system. They discussed implementing user profiles with email verification and resume links, improving the candidate profile interface for better data management and editing, and developing a system for active/inactive candidate statuses. The session also covered advanced UI/UX considerations like consolidated interfaces and custom reporting functionalities.

Candidate Profile Management

Duplicate Candidate Resolution

Interface Design and Navigation

Data-Driven Reporting and Automation

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Student learned 1 day ago

The Tutor and Student worked on implementing dependent dropdowns in Google Sheets. They configured category and subcategory dropdowns using formulas and helper sheets, and addressed the specific challenges of applying these within a table structure, including managing absolute references and adding rows.

Dependent Dropdowns in Google Sheets

Helper Sheet for Dynamic Filtering

FILTER Function for Dynamic Data Extraction

TRANSPOSE Function for Horizontal Layout

Dropdowns from a Range & Absolute References

Managing Data Growth and Row Addition

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Student learned 2 days ago

The Tutor and Student worked through advanced Excel techniques for creating population and sample datasets. This included using dynamic array functions for random sampling, data cleaning by removing duplicates, calculating specific date ranges, and applying VLOOKUPs. They planned to schedule another session to review a different, simpler assignment and work through it.

Nested Formulas in Excel

Dynamic Array Functions: TAKE and SORTBY

Date Manipulation in Excel: EOMONTH and Date Arithmetic

VLOOKUP for Data Retrieval

Data Cleaning: Removing Duplicates and Filtering

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Student learned 4 days ago

The student and tutor worked on setting up dynamic data filtering in Excel using the FILTER and TRANSPOSE functions. They configured a helper table to dynamically display subcategories based on a selected category and implemented dynamic data validation dropdowns. The session concluded with spreadsheet optimization and preparation for future use, with a follow-up session scheduled for the following Monday.

The FILTER Function

The TRANSPOSE Function

Creating Dynamic Dropdowns with Data Validation

Table Formatting and Named Ranges

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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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Chat for quick help

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Record lessons

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Parent feedback

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Pets are welcomed

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Open Q&A

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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.