[Udemy] Mastering Data Visualization with Python using Seaborn Lib.
What you’ll learn
Be taught Set up of python and associated libraries.
Why Do you have to use Data Visualization in Analytics and Enterprise Intelligence tasks?
Create lovely visualizations with Seaborn
Be taught Data Visualization in Python
Be taught to make use of Seaborn for statistical plots
Distribution Plot, Histograms, KDE Plots, Scatter Plot, Rug Plot, Joint Plot, Pair Plot, Bar Plot, Depend Plot, Field Plot, Violin Plot, Strip Plot, Swarm Plot
No introductory ability degree of Python programming required
Need to be taught!
Why Be taught Seaborn Library?
“An image is value a thousand phrases”. We’re all acquainted with this expression. It particularly applies when making an attempt to clarify the perception obtained from the evaluation of more and more massive datasets. Data visualization performs a vital position within the illustration of each small and large-scale information.
This course is designed to show analysts, college students curious about information science, statisticians, and information scientists analyze real-world information by creating professional-looking charts and using numerical descriptive statistics methods in Python 3.
We’ll educate you program with Python, analyze and create wonderful information visualizations with Python! You should utilize this course as your ready-to-go reference on your personal mission.
How is that this course designed:
- Describe what makes or dangerous visualization
- Perceive greatest practices for creating fundamental charts
- Establish the features which might be greatest for specific issues
- Create a visualization seaborn
- Distribution Plot
- KDE Plots
- Scatter Plot
- Rug Plot
- Joint Plot
- Pair Plot
- Bar Plot
- Depend Plot
- Field Plot
- Violin Plot
- Strip Plot
- Swarm Plot
- Warmth Map
- Pair Plot
- Sub Plot
SKILLS YOU WILL GAIN
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
Who this course is for:
- Data Scientists, Data Analysts.
- Who needs to start out their information visualization journey
- Who Is interested in construct efficient and impactful graphs
- Who Is seeking to break into the enterprise intelligence, analytics or information visualization area