Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Harness the power of Matplotlib, Seaborn and Plotly to boost your data visualization skills!
Understanding our data is key to our success, whether it’s 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´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 Content
- 7 section(s)
- 47 lecture(s)
- Section 1 Introduction
- Section 2 Getting Started!
- Section 3 Matplotlib Visualizations
- Section 4 Seaborn Visualizations
- Section 5 Plotly
- Section 6 Plotly Reward
- Section 7 Course Vault
What You’ll 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
Reviews
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MMattia Brugnaro
Spiegazione molto chiara, docente molto preparato
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MManuel Munoz Jr
I felt this course lacked academic structure and direction. It did not offer any type of organized learning path from which, at a minimum, would allow the student to build a foundation. Rather, it felt more like a high-level showcase of random features without context than an instructional series. Very disappointed.
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EEvan Blaisdell
Pretty okay for showing us basic capabilities; I wish there was a bit more about showing us the different modules and objects and arguments/parameters before just using them; The narration could have used a bit of editing/re-dos so there are fewer "sorry I misspoke" and such.
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TTae Yoon Lee
good