Data & AI
Data Science with Gen AI
Enhance traditional data science workflows with generative tools for data augmentation, analysis, and reporting.
Level: Intermediate
Mode: Hybrid
GenAI for Data Science Certificate
Technologies Covered
Python
Pandas
OpenAI
Jupyter
Course Curriculum
- Introduction to concepts
- Practical implementation strategies
- Industry best practices
- Hands-on exercises and assignments
- Introduction to concepts
- Practical implementation strategies
- Industry best practices
- Hands-on exercises and assignments
- Introduction to concepts
- Practical implementation strategies
- Industry best practices
- Hands-on exercises and assignments
- Introduction to concepts
- Practical implementation strategies
- Industry best practices
- Hands-on exercises and assignments
- Introduction to concepts
- Practical implementation strategies
- Industry best practices
- Hands-on exercises and assignments
Real-World Projects
Real-world Data Science with Gen AI Project 1
A comprehensive project demonstrating core competencies in Data & AI.
Advanced Integration Project
A capstone project applying all modules learned during the course.
Learning Outcomes
- Gain deep practical knowledge of the subject.
- Build a portfolio of real-world projects.
- Prepare for industry-recognized certifications.
- Enhance problem-solving and architectural skills.
Frequently Asked Questions
Who is this course for?
This course is ideal for students, working professionals, and anyone looking to upskill in Data Science with Gen AI.
Is there job assistance?
Yes, we provide 100% placement assistance, resume building, and mock interviews.
Do I need prior experience?
Basic programming knowledge is recommended for this level.