Sana

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Response 1h

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Databases
MySQL
Data Analysis

Learn Data Analysis: Master data cleaning and interactive visual dashboards with an easy, no-coding approach!

Databases
MySQL
Data Analysis

Lesson location

- online

About Sana

As a BSc AI and Machine Learning student, I have always believed that data analysis is more about logic, patterns, and visual storytelling than just writing complex lines of code. Choosing to specialize in the practical side of data—like cleaning messy datasets, uncovering hidden insights, and building interactive visualizations—showed me how powerful data can be when it is made simple and accessible.

I want to share this knowledge because I know how overwhelming data analytics can seem to beginners and college students. My goal is to break down these concepts using everyday logic and visual-first tools, helping you ace your university projects and build practical skills without the coding stress.

About the lesson

I believe data analysis is about logic and visual storytelling, not complex coding. My classes are designed for college students and beginners who want to master data cleaning, exploratory analysis, and interactive dashboards without getting overwhelmed by programming.

My Approach & Methods:

Practical & Project-Based: We work on real-world datasets from day one, focusing on visual-first tools like Excel and Tableau to turn raw numbers into clear insights.

Step-by-Step Logic: I break down analytical concepts into simple, everyday logic so you understand why we clean or visualize data a certain way.

Structure of a Class:
Each 60-minute session features a quick conceptual breakdown (15 minutes), a live dataset walk-through (30 minutes), and a dedicated Q&A session (15 minutes) to solve your doubts or review your university projects.

Learn Data Analysis: Master data cleaning and interactive visual dashboards with an easy, no-coding approach!

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About Sana

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online

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