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Pooja Dalwani

"Excel Virtuoso: Unraveling Data Magic with Real-World Mastery"

4.8(32)

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Profile photo of Pooja, Computer Science tutor at Wiingy
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Computer Science learning materials by Pooja
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Pooja Dalwani

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Each lesson is 55 min

50 lessons


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30 lessons


15% off

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20 lessons


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10 lessons


5% off

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5 lessons


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1 lessons


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Pooja - Know your tutor

Hi there! I’m Pooja, and I work in a tech company where Excel is a huge part of my daily life — from building dashboards and tracking invoices to organizing project data and generating reports. Along the way, I realized how powerful Excel can be once you understand how to use it properly — and that’s what made me want to teach. I love simplifying complicated tools and helping people feel more confident. Whether you’re just starting out or trying to do more with your spreadsheets, I’m here to guide you with patience, clarity, and real-world examples. My goal is to make Excel feel less intimidating and more empowering — so you can use it with ease in school, work, or life.

Certificates of Pooja

Certificates of Pooja

Programming tutor specialities

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Upskilling

Assignment help icon

Assignment help

Homework help icon

Homework help

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Exam prep

Learner for programming class

Anxiety or Stress Disorders icon

Anxiety or Stress Disorders

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College

Adult / Professional icon

Adult / Professional

Programming class overview

I’ve always believed that learning should feel empowering, not intimidating — especially when it comes to tools like Excel that many people find overwhelming at first. I know that feeling well, because I’ve been there myself. I didn’t learn Excel in a classroom — I learned it on the job, solving real business problems, building reports from scratch, and figuring things out through trial and error. And that’s exactly why I love teaching it now — because I know what it’s like to start from zero and slowly realize how powerful Excel can be once you understand the logic behind it. I started teaching Excel because I realized that many of my colleagues, friends, and even managers were struggling with it — not because it was too hard, but because no one ever explained it to them in a clear, simple way. That’s what I love doing. I enjoy breaking things down, using real-world examples, and seeing that moment when someone says, “Oh! That actually makes sense now.” I believe that everyone can learn Excel — they just need someone to guide them without judgment, at their pace, with patience. Whether you’re a student trying to complete an assignment, a professional managing weekly reports, or someone exploring data analysis for the first time, I tailor my sessions to your level and your goals. I cover everything from the basics — formatting, formulas, VLOOKUP, XLOOKUP — to more intermediate topics like Pivot Tables, dashboards, and beginner-friendly automation using macros.

keyLearning

Computer Science concepts taught by Pooja

Student learned about 1 month ago

The Tutor guided the Student in using Excel pivot tables and charts to analyze business data. The Student practiced refreshing and modifying pivot tables, creating visualizations, and formatting charts. The next session will involve further analysis of the created charts to derive business insights.

Selecting Ranges vs. Copying Cells in Excel

Creating Pivot Tables from Scratch

Chart Customization

Choosing the Right Chart Type

Sorting Data within Charts

Accessing Chart Formatting Options

Pivot Table Refreshing

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Student learned about 2 months ago

The Tutor and Student discussed strategies for data aggregation and transformation from multiple sources into a master dataset for PowerBI. The Student presented a real-world Excel master model for kindergarten demand forecasting, seeking assistance with its complexity and unclear methodologies. The Tutor will prepare data sets for the Student to combine and transform in PowerBI, and they scheduled additional sessions to delve deeper into the master model.

Data Transformation Techniques

Data Aggregation from Multiple Sources

Data Modeling in Power BI

Understanding Data Methodology and Context

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Student learned about 2 months ago

The Student practiced using Excel pivot tables and charts to analyze additional work order (AWO) data. They learned how to create and customize line charts to visualize site-wise financial metrics and reorganized pivot table rows to analyze revenue by department. The Student will add more data to the AWO sheet and practice creating pivot tables in the next session.

Interpreting Visualized Data

Customizing Charts for Clarity

Pivot Charts: Visualizing Data

Pivot Tables: Summarizing Data

Rearranging Pivot Table Fields

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Student learned about 2 months ago

The Tutor guided the Student on using Excel for data analysis, specifically focusing on data cleaning, formatting, and summarization. The Student learned to use the format painter, create pivot tables, and generate pivot charts to visualize revenue trends. The next session will revisit these topics.

Excel Navigation Shortcuts

Format Painter

Excel Data Types

Pivot Tables for Data Summarization

Sorting Pivot Table Data

Pivot Charts for Data Visualization

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Student learned about 2 months ago

The Student learned to approach data analysis in PowerBI, focusing on exploratory data analysis and selecting appropriate visualizations to represent different aspects of a well-being program data set. They explored different chart types and discussed data modeling concepts. The student was assigned to find and send vulnerability data for the next session to practice forecasting skills.

Exploratory Data Analysis

Data Storytelling

Choosing the Right Visualization

Master Table & Dimensional Data

Data Cleaning and Transformation

Power BI for End-to-End Analysis

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Student learned 2 months ago

The student presented a hypothetical dataset about children's mental well-being programs, and they discussed using PowerBI to derive meaningful insights. The Tutor shared examples of real-world data analysis reports related to community services and maternal child health. They planned to work on the student's data set in PowerBI during the next session.

Data Analysis Beyond Visualization

The Importance of Domain Knowledge in Data Analysis

Stakeholder Engagement in Data Projects

Holistic Evaluation: Economic and Social Equity Perspectives

Data Cleaning and Preparation

Beyond Dashboards: Delivering Actionable Reports

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Teaching tools used by tutor

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Jupyter Notebook

Dynamic programming classes

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Chat for quick help

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Record lessons

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Open Q&A

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Parent feedback

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Note taking

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