Data Analytics Classes NYC

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's NumPy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake so students can 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.

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.

Data analytics is the process of manipulating and analyzing data to understand and uncover insights that can influence business decisions. Learn the essential data analytics tools, including Excel, SQL, and Tableau, in hands-on training.

In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregation and joins. Topics include SQL GUI basics, fundamental-to-advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and is applicable to other relational databases, such as SQL Server and MySQL. Participants can retake the course for free within one year.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to present their data clearly. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, summarize and analyze data with PivotTables, create charts and PivotCharts in Excel, use SQL to filter and sort large data sets, perform advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

This data analytics course serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program is available online or on campus, with instruction from experienced data analysts. Graduates are equipped to solve real-world data problems.

In this class, you'll get an introduction to data analytics and how it is used in today's business world. You'll learn about the different kinds of analytics, algorithms, and statistical methods that you will need to know as a data analyst or business analyst.