Overview
The curriculum, rich in practical skills like scikit-learn and NumPy, of the Data Scientist program at Udacity prepares you for real-world challenges in data science. Learn from experts and engage in projects that mirror industry scenarios.
At Udacity, our focus is on making you job-ready with practical, industry-aligned training. Dive into the world of data science with us, where hands-on learning meets career transformation. Enhance your skills and pave your way to a successful career in data science.
Nanodegree Skills
- Introduction to Data Science
Blog posts • Predictive analytics • Data storytelling • AI algorithms in Python • Statistical modeling fundamentals • Exploratory data analysis • Github portfolios • CRISP-DM
- Software Engineering
Coding best practices • Object-oriented programming basics • Logging • Basic web development • Magic methods • Pip • Flask • Plotly • Code reviews • Unit testing • Bootstrap • Code refactoring
- Data Engineering
scikit-learn • Data cleaning • Machine learning pipeline creation • Part of speech tagging • Feature engineering • Data ingestion • SQLite • ETL • Tf-idf • Bag of words • Machine learning pipeline fundamentals • Entity recognition • Tokenization • Lemmatization • Data preparation • Feature extraction • Data normalization • Sentiment analysis • Hyperparameter tuning • Data pre-processing
- 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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Science
- Software Engineering
- Data Engineering
- Experimental Design and Recommendations
- Data Scientist Capstone
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 4 months
Start dates & application deadlines
Language
Delivered
Disciplines
Data Science & Big Data View 865 other programmes in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic 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:
- Python data analysis libraries
- Basic statistical modeling
- Relational database basics
- Basic SQL
- Inferential statistics
- Data wrangling
- Git
- NumPy
- Basic descriptive statistics
- JSON
- Command line interface basics
- Basic calculus
- Relational database proficiency
- Python package management
- Pandas
- Data visualization
- Python for data science
- Basic Python
- Linear algebra
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 4 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 4 months.
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Scientist.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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