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LifestyleMachine Learning for Absolute Beginners - Level 3 (Udemy.com)
Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn
Created by: Wonder Ripple
Last updated June 2025
What you will learn
- Perform Exploratory Data Analysis (EDA) for any Dateset
- Visualise Data using a Variety of Chart Types
- Learn Matplotlib and Seaborn Fundamentals
- Creating Bar, Grouped Bar, Stacked Bar, Lollipop charts
- Creating Pie, Tree-map charts
- Creating Line, Area, Stacked Area charts
- Creating Histogram, Density, Box-and-Whisker, Swarm charts
- Creating Scatter, Correlogram, Heat-Map, Hexbin-Map charts
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.5 out of 5higher than 46% of them
- Reviews1,198#128 of 462 by number of reviews
- Length3 hoursshorter than 82% of them
- Last updatedJune 2025earlier than 57% of them
Course Description
Unleash the Power of ML
Machine Learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide!
Machine Learning for Absolute Beginners
The “Machine Learning for Absolute Beginners” training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for a continuous step-by-step learning path.
Level 3 – Data Visualization with Matplotlib and Seaborn
The third course, as part of the training program, aims to help you to perform Exploratory Data Analysis (EDA) by visualizing a dataset using a variety of charts. You will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries, including:
Matplotlib fundamentals
Seaborn fundamentals
Selecting the right chart for the right job
Bar, Grouped Bar, Stacked Bar, Lollipop charts
Pie, Three-map charts
Line, Area, Stacked Area charts
Histogram, Density, Box-and-Whisker, Swarm charts
Scatter, Correlogram, Heatmap, Hexbin charts
Each section has a summary exercise as well as a complete solution to practice new knowledge.
The Game just Started!
Enroll in the training program and start your journey to become a data scientist!
Udemy Discount
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Instructor Details
- 4.5 Rating
1,198 Reviews
Wonder Ripple
Welcome to Wonder Ripple.
We create engaging learning experiences that help people understand how to delegate real work to AI and get more done.
Our courses focus on practical AI-powered workflows that can support everyday work, business, productivity, research, planning, and decision-making. We turn emerging AI capabilities into clear, useful skills through simple explanations, practical examples, and step-by-step applications.
Wonder Ripple was founded by a group of engineers who believe that powerful technology should be understandable, approachable, and genuinely useful. Our approach combines structured thinking, practical problem-solving, and curiosity about how AI can change the way people work.
Every course is designed to help you move beyond simply talking to AI and start using it to research, organize, monitor, prepare, coordinate, and complete real-world tasks.
Developing Your AI-Powered Skills
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Reviews
By Anonymized User on 1/16/2025
Yes, good, focused revision. ROS is moderate so it helps to fasten the video speed and still understand things while covering ground.
By Ravi Prasad on 5/6/2024
"The course is elegantly structured, rich with comprehensive content and abundant, practical examples, facilitating the understanding of intricate AI and ML concepts with remarkable ease. The provided exercises prove invaluable in reinforcing learned principles and adeptly tackling real-world industry challenges."
By Matthew Hencke on 4/17/2024
I'm not able to download on this workstation, so I cannot fully leverage the prior exercises which lead to this training. Consequently, I rely upon heavy use of graphics to visualize instructions. This course offers that in spades.
By Anonymized User on 3/24/2024
Wonderful course. Deepdive into lots of concepts, explained in a plain simple manner!
By Anonymized User on 3/11/2024
The tutor has a way of breaking down complex concepts into simple terms, I totally enjoyed all sections of the course.
By Gary Beverly on 9/8/2023
While the class has good information I think it is named incorrectly. This class doesn't have anything to to do with Machine Learning. It's more charting and visualizations using Python.
By Anonymized User on 7/28/2023
Level 1 was a good overview. Level 2 was helpful. Though level 3 was good it was more helpful for programmers and developers.
By Jhedydiane Amores on 7/15/2023
Very good! The concepts that may seem complicated were simplified for easier understanding. Some parts of the code that were used have been deprecated in the later versions of the libraries, but since Idan already gave pointers on how to check the library documentations, it is easier to find the updated syntaxes. Thank you for the wonderful course!
By Gaby Diengott on 4/4/2022
I think that more exercise will be good
By Talha Umer on 1/21/2021
Its very helpful in enhancing my skill for plotting graphs and data visualization
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100
- Video Duration:
3h - Price: $12.99
- Provider: Udemy
- Updated:
June 2025 - Level:
Intermediate - Language:
English - Certificate:
Yes
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