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NYC IIBA PRESENTS - BA TOOLS AND TECHNIQUES - PANDA - HANDS-ON WORKSHOPS FOR BUSINESS ANALYSTS - SESSION #3 of 4

Tuesday, December 13, 2022 -
18:00 to 20:15
This event has been postponed to December 13, 2022 6:00 - 8:15PM
Start Time : December 6, 2022 06:00 - 8:15PM


Register in advance for this meeting: https://iiba-org.zoom.us/meeting/register/tZMrfumtqTguH9IGxgTi3ZcfcKCLa83LYoJD
IIBA NYC Chapter is proud onc again to present BA Tools and Techniques - a series of hands on workships for Business Analysts. 


BAs engage in exploratory data analysis, which can include profiling data, visualizing results, and creating observations to direct next steps in the analysis. Python can be used to manipulate the data (using panda libraries), streamline workflows, and create visualizations (using Matplotlib).

This is the third of four sessions that will introduce participants to Python to make it approachable, and to understand how and when Python ia used, and as a basis for further learning, if ddsired.
Python is a base platform which is extended by only the libraries needed for your specific applicaiton.This session and the next introduce BAs to libraries.

Learning Objectives:

In this training we will be covering various different types of variables, different data types (lists, tuples, sets, dictionaries), user defined functions, and loops in Python. We will also learn how to manipulate the data using Pandas library in Python.
 

Instructor Bio:

Ekta is a Senior Consultant at Ernst & Young and has worked at McKinsey & Company and Evalueserve. She has worked for retail, healthcare and people analytics. She has been training students and professionals in statistics and data science using various analytical tools (R, SQL, Python, Tableau, MS – Excel, SAS and Data Science) and techniques for more than 3 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 athttps://www.analyticsisnormal.com/

Registration:

Register in advance for this meeting: https://iiba-org.zoom.us/meeting/register/tZMrfumtqTguH9IGxgTi3ZcfcKCLa83LYoJD

Event Details: 
Start Time : December 13, 2022 06:00 - 8:15PM Register in advance for this meeting: https://iiba-org.zoom.us/meeting/register/tZMrfumtqTguH9IGxgTi3ZcfcKCLa83LYoJD IIBA NYC Chapter is proud once again to present BA Tools and Techniques - a series of hands-on workshops for Business Analysts. BAs engage in exploratory data analysis, which can include profiling data, visualizing results, and creating observations to direct next steps in the analysis. Python can be used to manipulate the data (using panda libraries), streamline workflows, and create visualizations (using Matplotlib). This is the third of four sessions that will introduce participants to Python to make it approachable, and to understand how and when Python ia used, and as a basis for further learning, if ddsired. Python is a base platform which is extended by only the libraries needed for your specific applicaiton.This session and the next introduce BAs to libraries. Learning Objectives: In this training we will be covering various different types of variables, different data types (lists, tuples, sets, dictionaries), user defined functions, and loops in Python. We will also learn how to manipulate the data using Pandas library in Python. Instructor Bio: Ekta is a Senior Consultant at Ernst & Young and has worked at McKinsey & Company and Evalueserve. She has worked for retail, healthcare and people analytics. She has been training students and professionals in statistics and data science using various analytical tools (R, SQL, Python, Tableau, MS – Excel, SAS and Data Science) and techniques for more than 3 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.analyticsisnormal.com/ Registration: Register in advance for this meeting: https://iiba-org.zoom.us/meeting/register/tZMrfumtqTguH9IGxgTi3ZcfcKCLa83LYoJD
Event Location: 
https://iiba-org.zoom.us/meeting/register/tZMrfumtqTguH9IGxgTi3ZcfcKCLa83LYoJD
Speaker: 
Ekta Aggarwal