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Title

Financial Data Wrangling and Visualization in Python

Event Description

Financial Data Wrangling and Visualization in Python
November 7 | 8 am | Minneapolis

This is a one day training designed to get you up and running with financial data analysis in Python. No prior programming experience is required, and all the material has been tailor-made for finance professionals.
 
In this training we will do a deep dive into the pandas and numpy packages, which are fundamental to data analysis in Python. We will also cover how to create compelling visualizations with matplotlib and seaborn.
 
Jupyter Notebooks are an interactive programming environment that lie at the heart of Python’s data analysis stack; by the end of this training you will be very much at home working with them. The course is designed as a sequence of Jupyter Notebooks, which form a set of interactive tutorials focused on getting you up and running as quickly as possible doing actual finance related analysis. 

The course materials can be found at the following github repository: https://github.com/pritamdalal/cfa_mn_python_20191107
 
(This repository is currently in preliminary form and will continue to be updated in the coming weeks leading up to the training.)


Morning Session
8:00 am - installing python (anaconda distribution)
8:45 am - coffee break
9:00 am - wrangling tutorials
10:15 am -  questions and coffee break
10:30 am - wrangling tutorials
 
Lunch Break
12:00 pm-1:00 pm - lunch
 
Afternoon Session
1:00 pm -  wrangling tutorials
2:30 pm - questions and coffee break
2:45 pm - visualization tutorials
3:45 pm - questions and coffee break
4:00 pm - advanced topics and Q&A 

Instructor:

User-added image

The instructor for this course is Pritam Dalal. Over the course of working in finance for over 10 years, Pritam has held a variety of trading and analysis roles at firms such as Cargill, Wolverine Trading, Allianz Investment Management, and Two Harbors Investment Corp. A common thread running through all of his work has been data-driven analysis, coupled with the ability to communicate those findings to fellow decision makers. These skills have been applied to areas ranging from volatility trading in commodity markets, to equity option market-making, and hedging complex annuities.

Pritam is an instructor in University of Minnesota Master of Financial Mathematics where he teaches graduate students about the rich intersection between data science and quantitative finance. In addition to teaching in the MFM, Pritam consults on projects that lie at the intersection of data science and quantitative finance.

He holds a Bachelors in Mathematics and Economics from U.C. Berkeley, and a Masters in Financial Mathematics from the University of Minnesota, Twin Cities.

Please consider Pritam a resource before, during, and after the course: dalal030@umn.edu.

Event Type

Society; Career; Educational; Featured

Education Topic

Quantitative Methods

Start Time

11/7/2019 8:00 AM

End Time

11/7/2019 5:00 PM

City

Minneapolis

State/Province

MN

Event Country

United States

Event Region

Americas

Location Info

​121 South 8th Street
Suite 200, Marquette Room
Minneapolis, MN 55402

Speaker

Pritam Dalal

CE Credits

8

SER Credit

0.00

Currency

USD

Member Price

299.00

Non-Member Price

349.00

Candidate Price

349.00

Registration

Presentation

 

All Day Event

 

Recurrence

 

Event Link

Financial Data Wrangling and Visualization in Python

Event Link Leads To New Tab

Yes

Event Short Info

This is a one day training designed to get you up and running with financial data analysis in Python. No prior programming experience is required, and all the material has been tailor-made for finance professionals.

Attachments

Content Type: MyCFA Calendar
Created at 9/20/2019 11:40 AM by events@cfamn.org
Last modified at 9/23/2019 7:10 AM by events@cfamn.org