TOP 10 DATA SCIENCE COURSES IN NEW YORK, USA - PAGE 2

The R Programming Introduction course will help students learn how to perform data analysis with the R language and software environment, even if they have little to no programming experience.

Artificial intelligence (AI) has been advancing rapidly in recent years, measured both in terms of the amount of resources devoted to it and also in terms of its outputs. Increased investment has been driven by and also contributed to rapid increases in the technical capabilities of AI.

PL-300: Microsoft Power BI Data Analyst course is designed for learners who enjoy analyzing data and using Power BI to unlock meaningful data insights.

The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.

Your best course for career transformation. This full-time data science bootcamp features expert instruction, one-on-one career coaching, and connections to top employers to get you hired.

Data science is huge, and the ability to tackle analysis problems in a highly specialized and fast language will help people who are not engineers approach the topic.

AI and Machine Learning Master Program is curated to equip you with the skills, knowledge, and practical expertise needed to excel in the dynamic landscape of AI technologies.

Enroll for our 1-day Introduction to Power BI from Koenig Solutions. In this course you will learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.

NYU Tandon's Summer Program for Machine Learning is a two-week course that introduces high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning and artificial intelligence.

This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.