Online/ e-LMS
Self Paced
Advanced
8 weeks
About
This program focuses on using Seaborn for data visualization and analysis. It includes video lessons on creating basic to advanced plots, understanding aesthetics, and customizing visualizations for AI and machine learning workflows.
Aim
To equip PhD scholars and academicians with advanced skills in using Seaborn for data visualization in AI projects. This course covers creating statistical visualizations, advanced plotting techniques, and applying Seaborn for machine learning model evaluation.
Program Objectives
- Master data visualization techniques with Seaborn.
- Create effective visualizations for AI and ML workflows.
- Use Seaborn to identify patterns, outliers, and anomalies in data.
- Apply Seaborn for machine learning model evaluation and error analysis.
- Gain hands-on experience with practical projects in AI.
Program Structure
- Module 1: Introduction to Seaborn and Data Visualization
- Overview of Python libraries for visualization
- Setup and installation of Seaborn
- Basic plots and styles
- Module 2: Statistical Data Visualization Techniques
- Histograms, density, and categorical data plots
- Visualizing complex datasets with Seaborn
- Module 3: Advanced Data Visualization
- Multi-plot grids and regression plots
- Customization techniques for complex visualizations
- Module 4: Visualization in Machine Learning
- Using Seaborn for data preprocessing and model evaluation
- Visualizing model performance and error analysis
- Module 5: Capstone Projects and Practical Applications
- Final project to apply Seaborn in real-world AI use cases
- Visual presentation of results and feedback
Participant’s Eligibility
Data scientists, AI researchers, machine learning engineers, and academic professionals.
Program Outcomes
- Develop advanced data visualizations using Seaborn.
- Apply visualization techniques in AI and ML model evaluations.
- Gain hands-on experience with real-world datasets.
- Build customized visual presentations of data insights.
- Use Seaborn for data preprocessing, anomaly detection, and error analysis.
Fee Structure
Standard Fee: INR 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
Exam | Weightage |
---|---|
Mid Term Assignments | 50 % |
Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Data Scientist
- AI Researcher
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Research Scientist
Job Opportunities
- Tech companies utilizing data science
- Financial institutions for data analytics
- Healthcare analytics firms
- E-commerce and retail
- Research institutions
- AI-driven startups
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading