MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 35 lectures (2h 33m) | Size: 757.2 MB

Fundamental Principles, Cool Graphs & Charts in Python
What you'll learn:
Understand the ce concepts of Data Visualization
Level-up Data Viz skills regardless of the programming Language visualization tool you use
What makes Data Visualization "Beautiful"?
Visualizing quantity of variables, their distributions and relationships
Appropriate charts and plots to use f appropriate data
Choosing cols, scales, fonts and symbols f elegant Data Visualization
Advanced Data Visualization with Python using Plotly, Seabn and Matplotlib

Requirements
Beginner Level Python Programming Skills

Description
This course will enhance a student's understanding of charts, plots and graphs and bring it to a whole new level. Whether a student already knows something about Data Visualizations not, they will definitely take something away after completing this course.

Although this course uses the Python Programming Language to create data visualizations, any other tool programming Language could be used to apply the principles that have been taught in this course.

- Achieve the main goal of data visualization which is to communicate data infmation clearly and effectively to readers.

- Learn various do's and don'ts of data visualizations, col scales and plot animation regardless of programming Language visualization tool.

- Visualize amounts, distributions, proptions, associations and time-series data.

- Learn how to visualize data like a pro.

- Make use of 3 different Python plotting libraries including Plotly, Seabn, Matplotlib.

- Make use of your learnings to create beautiful data visualizations that could be used in print media, repts and social media.

- Master visual stytelling to communicate a message suppted by the data.

- Identify trends and make data engaging and easily digestible

- Evoke an emotional response from whoever takes a look at your data visualized through various types of charts and plots.

Who this course is f
Data Science Enthusiasts
Machine Learning Enthusiasts
Graphic Designers
Digital Marketers

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