MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 49 lectures (4h 25m) | Size: 1.91 GB

Harness the power of MatDescriptionlib, Seaborn and Descriptionly to boost your data visualization skills!

What you'll learn:
Understand the most important components for data visualization
Build various types of graphs using Python libraries
Learn how to use Descriptionly, MatDescriptionlib and Seaborn
Build tools that can help you obtain new insights, explain data or findings clearly
Create interactive visualizations

Requirements
General Python knowledge is encouraged

Description
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 MatDescriptionlib, Seaborn, and Descriptionly 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!

Who this course is for
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

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