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Sana
- Rate 36 GHS
- Response 1h

36 GHS/hr
Unfortunately, this tutor is unavailable
- 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
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
- Primary school
- Junior high school
- SHS 1
- +20
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Others
Child
- English
All languages in which the lesson is available :
English
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.
Rates
Rate
- 36 GHS
Pack prices
- 5h: 180 GHS
- 10h: 360 GHS
online
- GHS36/h
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