Steven Lawrence

Data Analysis Tutor from Thomas College Offering Comprehensive Data Science Sessions

4.8(32)

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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Assignment help

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Deep Learning

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Business intelligence

Learner types for data science class

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Adult/Professionals

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School

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College

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All levels

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 4 days ago

The session focused on practical Excel functions for data manipulation and analysis. The tutor guided the student through text functions (LEFT, RIGHT, MID, TRIM, UPPER, LOWER), rounding functions (ROUND, ROUNDDOWN, ROUNDUP), and lookup functions (VLOOKUP, XLOOKUP). Date functions like TODAY, EOMONTH, MONTH, YEAR, and DATEDIF were also covered, with plans to discuss INDEX MATCH and multiple criteria in the next session.

IFERROR Function: Error Handling

Date and Time Functions (TODAY

EOMONTH)

VLOOKUP and XLOOKUP: Data Retrieval

Text Manipulation Functions (LEFT

RIGHT

MID

LEN

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Student learned 3 days ago

The Student and Tutor explored advanced Excel functions like Goal Seek and Scenario Manager to manipulate financial data, specifically within a divorce settlement context involving asset and liability splits. They worked on making the spreadsheet more intuitive and functional, discussing potential automation and structural improvements for future use.

Dynamic Calculation with Excel Formulas

Advanced Excel Automation with VBA

Data Formatting and Readability in Excel

Excel's Goal Seek and Scenario Manager

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Student learned 5 days ago

The Student and Tutor collaboratively worked on designing an Excel-based maintenance log and dashboard system. They discussed data structure, visualization methods for flagging maintenance needs, and strategies for handling a large inventory of equipment. Future steps include further research into lookup functions and consultation with the Student's business partner.

Dashboard Design Principles

Lookup Functions and Data Retrieval

Data Organization and Efficiency

Maintenance Log Structure

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Student learned 6 days ago

The student and tutor worked on advanced Excel techniques for generating a federal grant salary report. They focused on data cleaning, using SUMIFS formulas with multiple criteria for date and name matching, and understanding cell referencing for accurate calculations. The session aimed to automate a previously manual and time-consuming reporting process.

SUMIFS Function

Date Criteria in SUMIFS

Cell Reference Locking for Dragging Formulas

Absolute Cell References ($)

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Student learned 6 days ago

The class focused on Excel data manipulation and analysis functions. The student practiced using `Text to Columns`, `COUNTIFS`, and `SUMIFS`, and learned best practices for data cleaning, handling leading zeros, and applying filters. The next session will continue with remaining functions and pivot tables.

Text to Columns: Data Separation

COUNTIF and COUNTIFS: Conditional Counting

SUMIF and SUMIFS: Conditional Summation

Data Cleaning: Handling Dates and Formatting

AND vs. OR Logic in Formulas

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Student learned 7 days ago

The Student and Tutor worked on improving data organization within a spreadsheet, focusing on managing dynamic data entries and structuring a maintenance log. They practiced converting data ranges into tables, implementing sorting, and setting up conditional logic for service alerts using Excel functions.

IFS Function for Complex Logic

Conditional Formatting for Alerts

Multilevel Sorting

Freeze Panes and Tables for Navigation

Data Structure and Organization

Dynamic Data Arrays (Spilling)

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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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Note taking

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Parent feedback

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Pets are welcomed

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Open Q&A

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Record lessons

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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.