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Overview
Demonstrate proficiency with practical projects with this Introduction to Data Science and Supervised Machine Learning program course from Udacity.
The Udacity Difference
- Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
Skills you will learn:
- Blog posts
- Data storytelling
- CRISP-DM
- AI algorithms in Python
- Github portfolios
- Feature importance calculation
- Model evaluation
- Model bias analysis
- Gradient descent
- Random forest models
- Tree-based models
- scikit-learn
- Neural network basics
- Basic supervised machine learning
Programme Structure
Courses include:
- The Data Science Process
- Supervised Machine Learning Algorithms
- Machine Learning Model Evaluation
- Model Interpretability and Fairness
- Communicating to Stakeholders
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic 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
Prior to enrolling, you should have the following knowledge:
- NumPy
- Github
- Linear regression
- Basic calculus
- Pandas
- matplotlib
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
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