NYC IIBA PRESENTS - BA TOOLS AND TECHNIQUES - Machine Learning - Case studies - FOR BUSINESS ANALYSTS - SESSION #1 of 2
IIBA NYC Chapter is proud once again to present BA Tools and Techniques - a series of hands-on workshops for Business Analysts.
Ekta Aggarwal will be presenting two more sessions that will introduce participants to Machine Learning to make it approachable, and to understand how and when Machine Learning ia used, and as a basis for further learning, if desired.
Learning Objectives:
1. Retail Clustering Case Study: Using the transactional data set, with data manipulation and K-Means clustering we will segment the customers into various categories.
2. Loan Prediction Case Study: To predict whether a bank should give loan to its customers, we will leverage Random Forests to build an ML (machine learning) model which will involve data manipulation, missing value imputation and data preparation.
Get ready for this session:
This will be a hands-on, interactive working session, where attendees can code along with the presenter in Python. To get the most out of the session, Ekta encourages attendees to install 'anaconda' software (https://www.anaconda.com/products/distribution) in advance of the session, which automatically has 'Python' loaded in it.
Instructor Bio:
Ekta Aggarwal is a Senior Consultant at Ernst & Young and has worked at McKinsey & Company and Evalueserve. She has worked for telecom, retail, healthcare and people analytics. She has been training students and professionals in statistics and data science using various analytical tools namely, R, SQL, Python, Tableau, Power-BI, MS – Excel, SAS and Data Science concepts for more than 4 years. She has completed Masters in Data Science from University of Leeds, and Masters and Bachelors in Statistics from India.
Reference materials can be found at her website at: https://www.analyticsisnor
Registration:
Register in advance for this meeting.