TOP 10 DATA SCIENCE COURSES IN NEW YORK, USA

Escape beginner mode and get the best out of ChatGPT by mastering prompts and learning the ways GPT can help you daily

Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.

In this certificate, students learn necessary programming skills to manipulate databases and perform various levels of analysis on the data. This program prepares students for entry-level data science and Python engineering positions.

The Data Analytics bootcamp at Fullstack Academy helps students establish foundational knowledge, skills, and abilities in the field of data analytics.

This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

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.

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.

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.