What you'll get
- 9+ Hours
- 5 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
- Download Curriculum
Synopsis
- Master data visualization using Seaborn
- Create different types of plots and charts
- Work with data frames for organizing data
- Analyze data with mathematical and statistical concepts
- Interpret and present insights effectively
- Apply visualization techniques to real-world projects
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Seaborn | 2h 28m | ✔ | View Curriculum |
| Seaborn Tutorial | 1h 51m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Seaborn Intermediate | 1h 18m | ✔ | View Curriculum |
| Seaborn Advance | 1h 56m | ✔ | View Curriculum |
| Seaborn Project : Data Visualization Using Seaborn on Census Dataset | 2h 9m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
The Python Seaborn Tutorial course teaches learners to effectively visualize and analyze data with Seaborn, a powerful Python data visualization library. This course covers essential techniques for plotting various types of data and working with data frames to organize information in a clear, tabular format.
Learners will gain hands-on experience creating meaningful, visually appealing charts, graphs, and plots that facilitate data interpretation. The course also emphasizes the mathematical and analytical concepts behind data visualization, enabling participants to derive actionable insights from datasets.
By the end of this course, participants will be equipped with the skills to visualize, analyze, and present data effectively, making it an essential training for aspiring data analysts, data scientists, and Python developers.
Sample Certificate
Requirements
-
Basic knowledge of Python programming
-
Familiarity with data structures and variables
-
Understanding basic statistics is helpful
-
Access to a computer with Python installed for hands-on practice.
Target Audience
-
Aspiring Data Analysts and Data Scientists
-
Python developers looking to enhance data visualization skills
-
Students and professionals working with data analysis and reporting
-
Anyone interested in learning Seaborn for effective data presentation
-
Professionals aiming to analyze and interpret datasets visually.
