COURSE DESCRIPTION
Developers can design web apps with the open-source Seaborn web framework.
The primary purpose of the Python library Seaborn is to generate statistical visualizations. It provides beautiful color schemes and default styles to improve the visual appeal of statistical charts. Built around the Matplotlib toolbox, it has close integration with Pandas data structures. Data frames and the Pandas library work well with Seaborn, which is also user-friendly.
The following list is some of the advantages of using data visualization.
- When using graphs, it is simpler to convey your data to non-technical folks.
- Graphs can help us identify helpful data trends in any machine learning or forecasting project.
- Readers will find presentations and reports more enticing when the graphs are visually pleasing.
Seaborn aims to extensively rely on visualization in the data exploration and comprehension process. In order to better comprehend the dataset, it has dataset-oriented APIs that allow us to switch between multiple visual representations for the same variables. Learn about our other course at codingshikho.com
CERTIFICATION
We will begin by teaching you How to develop apps with the help of our course Once you gain confidence in building and developing apps using seaborn , then we’ll proceed with Paid version of this seaborn and designing. and then you are provided with certificate.
We will Cover the following Topics in my sessions : –
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Coding Shikho
you would be able to build & design Your apps using seaborn that secures Top Positions in the Google search Results!
Requirements
- Python Programming:
Seaborn is a Python library, so you should have a good grasp of Python fundamentals, including data types, loops, conditional statements, and functions.
- NumPy and Pandas:
Seaborn is often used in conjunction with NumPy and Pandas for data manipulation and analysis. Familiarize yourself with these libraries, as they provide the foundation for working with data in Seaborn.
- Matplotlib:
While Seaborn is designed to make data visualization easier than Matplotlib, understanding the basics of Matplotlib is helpful, as Seaborn uses it as a base.
- Practical Projects:
To reinforce your learning, work on practical projects or exercises. You can create various types of plots like bar plots, scatter plots, heatmaps, and pair plots on sample datasets.
- Practice:
As with any skill, practice is essential. Create your own datasets or work with real-world data to gain experience.
Features
- Instructor-Well-qualified and we choose them from industry. .
- Placement- 100%
- Residential room- well- Air-conditioned room , good food Availability, cloth cleaning services
- Project- Real world projects to learn and develops skills .
- Material - PDF , 90h classes, Friendly-environment and Videos .
Target audiences
- Gender- Male & Female
- Age- 15y to 60y
- Qualification- BCA, MCA ,B.Tech and B.Sc
- Hobbies- Interested in learning , problem solving , practicing and reading
- Experience - 0y-1y