Data Scientist Nanodegree

Overview

The Data Scientist Nanodegree 's program at Udacity curriculum, rich in practical skills like scikit-learn and NumPy, 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