Python Seaborn Course
Learn how to use seaborn library for data visualization in python
Updated on May, 2024
Language - English
Development,Data Science,Data Visualization
Lectures -12
Duration -2.5 hours
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Course Description
Are you ready to start your path to becoming a Data Scientist!
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
1. Seaborn Plotting Functions
2. Plotting with Categorical Data
3. Multi-Plot Grids
4. Plot Aesthetics
Who this course is for:
- Beginner Python developers curious about Data Science
Goals
What will you learn in this course:
- Learn to use Seaborn for statistical plots
- Seaborn Plotting Functions
- Plotting with Categorical Data
- Multi-Plot Grids
- Plot Aesthetics
- Use Plotly for interactive dynamic visualizations
Prerequisites
What are the prerequisites for this course?
- Some programming experience
Curriculum
Check out the detailed breakdown of what’s inside the course
Seaborn with Python
11 Lectures
-
Session 1. Seaborn Plotting Functions
00:56
00:56
-
Seaborn Plotting Functions
30:49
30:49
-
Session 2. Plotting with Categorical Data
00:42
00:42
-
Plotting with Categorical Data
15:40
15:40
-
Session 3. Multi-Plot Grids
00:24
00:24
-
Multi-Plot Grids
33:55
33:55
-
Session 4. Plot Aesthetics
00:28
00:28
-
Plot Aesthetics
17:39
17:39
-
What is Data Science
32:26
32:26
-
Data Visualization using Pandas
19:33
19:33
-
What is Machine Learning
26:33
26:33
Instructor Details
DATAhill Solutions Srinivas Reddy
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