Data Science Professional Development Courses

This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.

The NYC Data Science Academy's General English Language Program helps you get better jobs by improving your English. Good English is important for many jobs. After finishing this program, you can work in different areas like business, healthcare, technology, and education. English is needed for these jobs. This program also helps if you want to study more in English-speaking places. It gives you an advantage in the global job market. Our program is recognized by The University of New Haven, Washington University ofScience and Technology(WUST), St.Francis College, Monroe College, McDaniel College and many others. Students who completed B2 at NYC Data Science Academy ESL are sufficient for the English proficiency admission required. NYC Data Science Academy team can guide students through admission and visa process for university admission.