Data Visualization 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 for students to refresh the material.

In this 102-hour FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

In this comprehensive Excel bootcamp, participants learn beginner to advanced Excel techniques, including formulas & functions, VLOOKUP, macros, and more. Students learn how to work more efficiently, summarize, and analyze data with tables, charts, and PivotTables. By the end of this hands-on course, participants will be ready to use Excel for everyday business tasks. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.

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 data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

In this 18-hour 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 forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

Get started with Microsoft Excel in this beginner-friendly course. Learn calculations, basic formulas and functions, tables, charts, and tips for efficiency with hands-on exercises. By the end of this course, you'll build a strong foundation for using Excel as a vital tool in your daily workflow. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.

In this course for those comfortable with the basics of Excel, participants will learn intermediate-level tools, including PivotTables, splitting and joining text, VLOOKUP, IF Statements, and more. Learn by completing hands-on projects to reinforce concepts. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.

In this course, participants will be introduced to the field of data visualization and the various tools Tableau Public offers. They will learn to identify datasets to connect to, explore, analyze, filter and structure data to create desired visualizations. Beginners will learn to understand and manipulate data in Tableau, create their first visualization, distribute and publish their visualization and cover topics such as formatting visualizations, Tableau calculations and creating dashboards and stories. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

This 3-day Microsoft Excel Bootcamp consists of three courses and helps students with little to no prior Excel experience go from novice to pro in a couple of days. The first course, Excel for Business Fundamentals, covers the basics, including writing formulas, using absolute references, formatting, common charts and designs, as well as general workbook best practices. The second course, Intermediate Excel for Business, introduces students to more advanced topics, including advanced paste functions, working with text, VLOOKUP, PivotTables, statistical functions, and some advanced charts. The third and final course, Advanced Excel for Business, walks students through some common skills used primarily by more experienced Excel users, including cell management, nested IF statements, What If analysis, advanced analytical tools, INDEX-MATCH, and macros to help automate repetitive tasks. Each course concludes with a final project to help cement the skills students learn in each course.

This 1-day Microsoft Excel course is intended for those who have little to no prior Excel experience looking to build foundational skills working with spreadsheets. This course covers all the basics to make students feel at ease when working with Excel. There are a number of topics covered in this course, including data entry, working with basic formulas, formatting data, an introduction to charts and tables, and workbook management. The course is punctuated by a final project to help review and solidify the major topics covered in the class.

This 1-day Intermediate Microsoft Excel course is designed for individuals with some prior Excel experience but who are looking to add to their Excel toolbelt and continue building their spreadsheet knowledge. There are a number of intermediate topics covered in this course, including learning helpful keyboard shortcuts, working with text, functions (statistical, LOOKUP and logic functions), working with PivotTables, and an introduction to combo charts. The course is punctuated by a final project to help review and solidify the major topics covered throughout the course.