NYC Data Science Academy offers hands-on projects and real-world applications to teach students the skills needed for a career in data science. By enrolling, students become part of a supportive network that includes the NYC Open Data Meetup.
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Unlock the power of Python for data analysis and visualization with this comprehensive course from NYC Data Science Academy. Gain hands-on experience with popular modules like NumPy, SciPy, pandas, Matplotlib, and Seaborn, and learn how to manipulate and visualize data effectively. Take your programming skills to the next level and explore the world of data science with Python.
Learn the fundamentals of Python programming in this introductory course at NYC Data Science Academy. Gain the skills to manipulate data and perform basic analysis using Python, with topics such as list and string manipulation, control structures, and data analysis packages. This course is designed for computer-literate individuals with no programming background.
Learn the principles of machine learning algorithms and implement them to analyze complex datasets and make predictions using Python modules like Scikit-Learn. Gain the skills necessary to apply simple and multiple linear regressions, classification methods, cross-validation, feature selection, regularization, principal component analysis (PCA), and clustering algorithms.
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NYC Data Science Academy @ NYC Data science Academy
This course is a 35-hour program designed to provide a comprehensive introduction to R for Data Analysis and Visualization. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which to understand the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization....
NYC Data Science Academy @ NYC Data science Academy
This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. We will do our work...
Learn how to leverage generative AI models for the finance industry to gain a competitive edge in this hands-on workshop. Gain familiarity with the concepts and techniques of generative AI and leave with fully functioning code to apply generative AI to your business cases. No background in data science or AI required.
Learn how to leverage the power of generative AI to create text, images, video, and music for your marketing needs. Gain a high-level understanding of these cutting-edge technologies and discover how to apply them to various marketing cases. No programming or data science experience required.
A class for people with no data science background who wish to learn AI trends. Course Overview This four-hour workshop will cover everything you need to know to understand the current trends in generative AI, how these models work, and how to train them, and you can leverage them for your business. The session will cover how text, images, video, and music can be created by AI, details about the data they need, and considerations for their use....
Learn how to design and implement scalable machine learning systems in production with this comprehensive course from the NYC Data Science Academy. Gain hands-on experience with Python, Docker, Kubernetes, Google Cloud, and other open-source tools to set up automated infrastructure and bring ML models to life. Take your ML engineering skills to the next level and drive business value with robust MLOps processes.
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