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Development Data Science Data Visualization

Machine Learning for Absolute Beginners - Level 3

Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn
Rating: 4.0 out of 54.0 (28 ratings)
11,466 students
Created by Idan Gabrieli
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Perform Exploratory Data Analysis (EDA) for any Dateset
  • Visualise Data using a Variety of Charts 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

Course content

6 sections • 40 lectures • 3h 0m total length

  • Preview03:22
  • Our Overall Learning Path
    02:13
  • How to Practice?
    02:31

  • Preview02:11
  • Preview08:23
  • Matplotlib – Figures, Axes
    03:23
  • Matplotlib – The OO and Pyplot Interfaces
    06:59
  • Matplotlib – APIs Reference Review
    05:37
  • Seaborn – Overview
    03:50
  • Seaborn – Figure and Axes-level Functions
    06:21
  • Seaborn - Chart Customization
    04:44
  • Seaborn – API Reference Review
    04:00
  • A little bit about NumPy
    06:40
  • The Right Chart for the Right Job
    02:50

  • Overview
    01:20
  • Bar Chart
    10:20
  • Grouped Bar Chart
    09:07
  • Lollipop Chart
    04:04
  • Stacked Bar Chart
    03:34
  • Pie Chart
    03:51
  • Treemap
    06:25
  • Optimizing Colors
    06:32
  • Exercise 1 - Ranking and Proportion Charts
    00:22

  • Overview
    01:56
  • Line Chart
    06:59
  • Area Chart
    01:58
  • Stacked Area Chart
    03:43
  • Histogram Chart
    06:43
  • Density Curve Chart
    05:38
  • Box-and-Whisker Chart
    09:30
  • Bee-swarm Chart
    02:30
  • Exercise 2 – Trend and Distribution Charts
    00:22

  • Overview
    02:41
  • Scatter Chart
    10:26
  • Correlogram
    03:29
  • Heat-Map
    08:34
  • Hexbin-Map
    04:21
  • Exercise 3 – Correlation Charts
    00:22

  • Let’s Recap and Thank You!
    02:55
  • *** BONUS ***
    00:06

Requirements

  • Python Basic Syntax
  • Highly skilled working with the Pandas Library - Loading Datasets and Manipulating Data in a Data Frame.
  • It is recommended to start with the Level 1 and Level 2 of the "Machine Learning for Absolute Beginners" training program

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!

Who this course is for:

  • Developers curious about Data Science projects
  • Beginner Data Scientists
  • AI Product Managers
  • ML Engineers
  • AI/ML Consultants

Instructor

Idan Gabrieli
Presales Manager | Entrepreneur | Cloud and AI Expert
Idan Gabrieli
  • 4.5 Instructor Rating
  • 2,809 Reviews
  • 118,607 Students
  • 16 Courses

Idan Gabrieli is a Pre-Sales Manager (B.Sc. and MBA) for software solutions with a comprehensive technical background in a variety of cutting-edge technologies.

Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

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