Udemy

Machine Learning for Absolute Beginners - Level 3

Enroll Now
  • 16,192 Students
  • Updated 6/2025
4.4
(1,141 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 1 Minute(s)
Language
English
Taught by
Idan Gabrieli
Rating
4.4
(1,141 Ratings)

Course Overview

Machine Learning for Absolute Beginners - Level 3

Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn

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!

Course Content

  • 6 section(s)
  • 40 lecture(s)
  • Section 1 Getting Started with Level 3!
  • Section 2 Data Visualization with Matplotlib and Seaborn
  • Section 3 Ranking and Proportion Charts
  • Section 4 Trend and Distribution Charts
  • Section 5 Correlation Charts
  • Section 6 Course Summary

What You’ll 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


Reviews

  • E
    EDUARDO DAVID CASTRO
    5.0

    all good

  • S
    SURAJIT CHATTERJEE
    5.0

    Nice coverage and slow pace for clear understanding.

  • A
    Akshay Kaste
    5.0

    .

  • s
    sofiane hamrouni
    5.0

    Amazing! Thank you Idan!

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed