Antje Muntzinger
Professor of Computer Vision
Data Science Pipelines
Streamline complex machine learning projects by designing pipelines that combine preprocessing, modeling, and evaluation. Learn to manage numeric, image, and text data efficiently while preventing data leakage and boosting reproducibility.
- Course
- Advanced
- 18 hours
- Updated: Nov 3, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
17 skills
- PyTorch
- Tokenization
- Convolutional neural networks
- NLP pipelines
- Stemming
Prerequisites
12 prerequisites
Prior to enrolling, you should have the following knowledge:
- matplotlib
- Python classes
- Basic calculus
- Gradient descent
- NumPy
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 4 lessons
- 1 project
Program Instructors
2 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Victor Geislinger
Machine Learning Engineer
Antje Muntzinger
Professor of Computer Vision
Victor Geislinger
Machine Learning Engineer
About this program
Data engineers are in high demand. Take Udacity's Data Science Pipelines course and learn to build data pipelines and more through hands-on projects.
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates