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Overview
Course Skills
- Experimental Design and Recommendations
Interpreting test results • Smart experiments • Experiment control • Recommendation engine fluency • Matrix factorization • Bias detection • Recommendation engine business context • Latent variables • AI algorithms in Python • Recommendation engines • Experiment metrics • Experiment design
The Experimental Design and Recommendations program is offered by Udacity.
Programme Structure
Courses include:
- Experimental Design & Recommendation
- Concepts in Experiment Design
- Statistical Considerations in Testing
- A/B Testing Case Study
- Portfolio Exercise: Starbucks
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Design Web Technologies & Cloud Computing View 603 other Short Courses in Web Technologies & Cloud Computing in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic statistical modeling
- Data wrangling
- Python for data science
- Basic descriptive statistics
- Relational database basics
- Data visualization
- Linear algebra
- Basic calculus
- Inferential statistics
- JSON
Tuition Fee
To always see correct tuition fees
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
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