Hands-on Data Visualization With Python

Hands-on Data Visualization With Python, available at $49.99, has an average rating of 3.8, with 55 lectures, 2 quizzes, based on 58 reviews, and has 855 subscribers.

You will learn about Understand the most important components for data visualization Build various types of graphs using Python libraries Learn how to use Plotly, Matplotlib and Seaborn Build tools that can help you obtain new insights, explain data or findings clearly Create interactive visualizations This course is ideal for individuals who are Data Scientists who want to take their skills to the next level or ML/AI engineers that want to put together new sources of information or datasets or Data Analysts looking to understand how to present findings or BI Professionals desiring to level up their skills and create interactive graphs or Any one interested in programming or computer science or Software engineers or programmers looking to expand their skill set It is particularly useful for Data Scientists who want to take their skills to the next level or ML/AI engineers that want to put together new sources of information or datasets or Data Analysts looking to understand how to present findings or BI Professionals desiring to level up their skills and create interactive graphs or Any one interested in programming or computer science or Software engineers or programmers looking to expand their skill set.

Enroll now: Hands-on Data Visualization With Python

Summary

Title: Hands-on Data Visualization With Python

Price: $49.99

Average Rating: 3.8

Number of Lectures: 55

Number of Quizzes: 2

Number of Published Lectures: 48

Number of Published Quizzes: 2

Number of Curriculum Items: 57

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the most important components for data visualization

Build various types of graphs using Python libraries

Learn how to use Plotly, Matplotlib and Seaborn

Build tools that can help you obtain new insights, explain data or findings clearly

Create interactive visualizations

Who Should Attend

Data Scientists who want to take their skills to the next level

ML/AI engineers that want to put together new sources of information or datasets

Data Analysts looking to understand how to present findings

BI Professionals desiring to level up their skills and create interactive graphs

Any one interested in programming or computer science

Software engineers or programmers looking to expand their skill set

Target Audiences

Data Scientists who want to take their skills to the next level

ML/AI engineers that want to put together new sources of information or datasets

Data Analysts looking to understand how to present findings

BI Professionals desiring to level up their skills and create interactive graphs

Any one interested in programming or computer science

Software engineers or programmers looking to expand their skill set

Understanding our data is key to our success, whether it鈥檚 for analytical purposes or for our model building in AI/ML/DS or related domains. Moreover, being able to construct a captivating visualization to clearly help explain findings to teams, managers, stakeholders and more is a valuable skill necessary for the world of DS.

And in a world where presenting data is the new big thing, data visualization tools are a must in your data science toolkit. By building visualizations in the most popular visualization libraries, we can gain a deeper level of understanding and create mesmerizing presentations.

Hands-on Data Visualization With Python will help present the core concepts and structure of working with Matplotlib, Seaborn, and Plotly so that you will be able to impress even the toughest managers with your ability to draw insights from data.

And once you’re done with the course you’ll be able to understand the most important components of data visualization after constructing various types of graphs, and solving practical challenges. This will allow you to stand out in your careers, build tools that can help you obtain new insights, explain data or findings clearly, create interactive visualizations and animations and more.

And if that麓s not enough, you’ll also become more familiar with some of the most used visualization libraries, and help practice Python programming in the meantime!

So, are you ready to take your career onto the next level? Enroll now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Get To Know Your Instructor

Chapter 2: Getting Started!

Lecture 1: Get The Files Here!

Lecture 2: Storytelling With Data

Lecture 3: Matplotlib vs Seaborn vs Plotly

Lecture 4: Google Colab

Lecture 5: Cleaning Data – Numerical vs Categorical

Lecture 6: Cleaning Data – NaNs

Lecture 7: Cleaning Data – Encoding

Lecture 8: Cleaning Data – Converting Data

Lecture 9: Pandas Tips

Lecture 10: Data Types

Lecture 11: Choosing Graph Types

Chapter 3: Matplotlib Visualizations

Lecture 1: Get The Files Here!

Lecture 2: Matplotlib – Getting Started

Lecture 3: Matplotlib – Basics

Lecture 4: Matplotlib – Bar Chart

Lecture 5: Matplotlib – Stacked Bar

Lecture 6: Matplotlib – Subplots

Lecture 7: Matplotlib – Single Subplot

Lecture 8: Matplotlib – Practical Challenge!

Lecture 9: Matplotlib – Practical Challenge Note

Lecture 10: Matplotlib – Practical Challenge Solution!

Chapter 4: Seaborn Visualizations

Lecture 1: Get The Files Here!

Lecture 2: Seaborn Introduction

Lecture 3: Seaborn Part 1

Lecture 4: Seaborn Part 2

Lecture 5: Seaborn Part 3

Lecture 6: Seaborn Part 4 – Lineplot Stocks

Lecture 7: Seaborn Part 5 – Relplot

Lecture 8: Seaborn – Challenge Intro

Lecture 9: Seaborn – Challenge Solution

Lecture 10: Seaborn – Practical Challenge Note

Lecture 11: Seaborn EXTRA – Save Figure

Chapter 5: Plotly

Lecture 1: Get The Files Here!

Lecture 2: Plotly Intro + Bar Graph

Lecture 3: Plotly Bar Customized

Lecture 4: Plotly Scatter

Lecture 5: Plotly – Stock Visualization Part 1

Lecture 6: Plotly – Stock Visualization Part 2

Lecture 7: Plotly 3D

Lecture 8: Plotly Challenge Intro

Lecture 9: Plotly Challenge Part 1

Lecture 10: Plotly – Practical Challenge Note

Lecture 11: Plotly Challenge Part 2

Chapter 6: Plotly Reward

Lecture 1: Plotly Animations

Chapter 7: Course Vault

Lecture 1: Notes

Chapter 8: Congratulations!! Dont forget your Prize 馃檪

Lecture 1: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Jordan Sauchuk
Senior AI Advisor & Cybersecurity Engineer

Ligency Team
Helping Data Scientists Succeed

SuperDataScience Team
Helping Data Scientists Succeed

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 5 votes

4 stars: 16 votes

5 stars: 33 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!