Data Science Classes Long Island, NY

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their models, as well as tips for choosing effective features and algorithms.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.

Learn to transform raw data into compelling, interactive visuals using Python libraries like Matplotlib, Seaborn, Plotly, and Dash. This self-paced course guides you through hands-on projects and real-time mentoring as you build and deploy your own professional dashboard.

In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques, such as scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options, plus a free retake for students to refresh the material.

Build AI-powered web apps using Python, Flask, and the OpenAI API in this advanced, hands-on course. Learn to create interactive applications that integrate real-time sentiment analysis and dynamic content.

This 35-hour program offers a comprehensive introduction to R. This course teaches the skills needed to process, manipulate, and analyze data, create visualizations, and generate reports. The program begins with an overview of programming with R. It then moves on to the treatment of basic data elements; the use of dplyr to manipulate data; and how to create basic and advanced visualizations such as violin and mosaic plots, and time series diagrams.

This six-week course teaches students how to use key components of Apache Hadoop, Spark, and MapReduce. Using platforms such as Databricks, Amazon Web Services (AWS), and Docker, students will learn how to use Python and cloud computing to perform exercises. Students will complete five units on topics such as Hadoop, MapReduce, Apache Hive, Apache Pig, Apache Spark, and Amazon Web Services (AWS).

This Data Science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely used data analysis and visualization modules, such as Pandas, Matplotlib, NumPy, SciPy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.