Course Overview
Want to turn messy data into powerful, interactive visuals that tell compelling stories? This course was built for you!
In just a few weeks, you'll go from raw data to stunning dashboards — no advanced coding experience required. Whether you're a data newbie or looking to level up your analytics game, this hands-on course will teach you how to clean, shape, and visualize data like a pro.
Throughout the course, you'll master key tools and techniques including:
Python & Pandas – for data cleaning and transformation
NumPy – for efficient numerical operations
Matplotlib & Seaborn – for building clear, effective visualizations
Plotly & Dash – for creating interactive, web-based dashboards
Real-World Datasets – to apply your skills in meaningful, practical projects
What you will learn
Learn how to clean and structure raw data using Python and pandas.
Explore data transformation techniques for analysis readiness.
Use regular expressions and string methods for text data cleaning.
Store and retrieve structured data using CSV, Excel, and SQL.
Handle missing values and outliers in large datasets effectively.
FINAL PROJECT: Visualize insights from a messy dataset using matplotlib and seaborn.
Course Curriculum
17
Lessons
(
10 hours
)
Course Review

Markram
This course on Data Wrangling and Visualization is an excellent introduction to handling messy data. It covers all the essential techniques and tools needed to clean and visualize data effectively. The hands-on projects were especially helpful in reinforcing the concepts learned. Highly recommend it for anyone looking to improve their data analysis skills.

Lucas
I found the Data Wrangling and Visualization course to be both practical and engaging. It provides clear, step-by-step guidance on transforming raw data into actionable insights using powerful visualization techniques. The real-world examples made it easy to apply what I learned. It's a must-take for aspiring data scientists.