Founder & CEO, Numberscape Consulting
Navin Manglani has had over 15 years of experience in the data analytics field. Navin is the founder of Numberscape Consulting, a data analytics consulting firm that partners with companies ranging from small startups to Fortune 500 companies. Prior to founding Numberscape Consulting, Navin was a Director of Strategy & Analytics at American Express. Navin has also managed analytics teams in the fashion industry and real estate industry. Navin holds an MBA from Columbia Business School and a BA in Economics from Yale University.
This bootcamp will take absolute beginners through the basics of SQL to an ability to write queries with confidence.
Data Visualization and Intro to Tableau
This class is an introduction to data visualization techniques and tools for describing, analyzing, and communicating data in a business setting.
Gain indispensable data analytics skills in this 10-week evening or 1-week accelerated course, on campus or online.
Intermediate Excel: Formulas & Functions
Improve your all-around Excel skills - Learn a variety of intermediate functions such as VLookups and If Statements, as well as advanced charts and Pivot Tables
Data Analytics 101
In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality & manipulating real- data sets.
Introduction to Google Analytics Workshop
Get to know the basics of using Google Analytics to track and evaluate performance and draw insights to improve your business.
Python Class for Beginners
In this class, you’ll how to get started with Python, what advantages and disadvantages Python provides as a programming language, and the essentials of programming in Python.
Intro to Data Analytics
In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality in Google Sheets.
SQL Bootcamp: Learning the Language
Learn to communicate with databases by learning the language of choice, Structured Query Language (SQL).