Sep 
10th
–
13th
Live Stream with Sam Jacobs
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8:00 PM

Problem Solving

Introductions + group problem solving with your peers. Come ready with a top of mind challenge. Turn your biggest challenges into questions for our guest speaker.

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Sep 
10th
, 
3:00PM
 – 
Sep 
13th
, 
4:00PM

QuantUniversity

Just enough Python for 

Data science - FinancE edition

Dates: On-Demand

Number of sessions: 3

Each session: 2.5 hours

Delivery: Online through QuAcademy with Video, Demos, Case studies + Labs

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Video Block #5

Clear your calendar - It's going down! Video Blocks kicks off on May 20th, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

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COURSE details

A detailed look at the event. 

This introductory course, geared towards financial professionals will discuss key concepts needed to write and understand Python. Rather than bogging you with all the syntactical details, we will focus on the key elements and packages giving you just enough orientation to start your Data science journey in Python


Using Qu.Academy, our remote-learning platform and Jupyter notebooks, we will discuss the key elements of Python and discuss how to write applications working with datasets.

 

This course serves as a pre-requisite for the upcoming

- Machine Learning and AI for Financial Professionals Course.


All classes are pre-recorded and interactive with videos, slides, demos and fully functional code .


Registered participants will receive an invitation to the QuAcademy site. Check out the sample lecture below to experience QuAcademy

Session 1

module 1 : The basics

 Introduction to Python

  • Exploring and Visualizing large datasets
    • Working with Jupyter notebooks
    • Numbers and Strings
    • Conditional Statements
    • Lists, Sorting, Dictionaries
    • Functions
    • Demos & Case studies
    • Exercises

session 2

MODULE 2:data science packages

Popular packages in Python

  • Working with Data - Using pandas
  • Analyzing Data - Using numpy, scipy, scikit-learn
  • Visualizing Data using matplotlib, seaborn, plotly

  • Demos & Case studies

Session 3

Module 3: Case studies in finance

Case study 1:

Dimension reduction and visualizing stock data


Case study 2:

Visualizing & Analyzing Stock portfolios


Case study 3:

Build a Credit Risk Calculator using Lending Club data




hosted by

Sample FREE Lecture

Check out Sri's recent lecture at the CFA Institute and experience Qu.Academy to get a feel for the course!

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"I truly enjoyed your recent webinars with the CFA Institute and also learnt a lot. I look forward to more presentations from you."

Kaliba Bilala, CFA

Instructor

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Course instructor:

Sri Krishnamurthy, CFA

Chief Data Scientist, QuantUniversity

 

Sri Krishnamurthy is the founder of www.quantuniversity.com, a data and Quantitative Analysis Company and the creator of the Analytics Certificate program and Fintech Certificate program. Sri has more than two decades of experience in analytics, quantitative analysis, statistical modeling and designing large-scale applications.


Prior to starting QuantUniversity, Sri has worked at Citigroup, Endeca, MathWorks and with more than 25 customers in the financial services and energy industries. He has trained more than 1000 students in quantitative methods, analytics and big data in the industry and at Babson College, Northeastern University and Hult International Business School.


Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA with a focus on Investments from Babson College.

 

*Now Enrolling*

Number of sessions: 3

Each weekly session: 2.5 hours

Delivery: Online through QuAcademy with Video, Demos, Case studies + Labs

Cohort 1: May 2nd, May 9th

Cohort 2: May 30th, June 6th, June 13th


Attendees

hosted by

QuantUniversity

QuantUniversity (www.quantuniversity.com) is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various data science and machine learning workshops in Boston, New York, Chicago, San Francisco and online. The company offers an Analytics Certificate Program and the Fintech Certificate program along with multiple workshops in its Explore-Experience-Excel series. Contact us at info@qusandbox.com

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Supported by

PRMIA

The Professional Risk Managers International Association (PRMIA) is a professional organization focused on the "promotion of sound risk management standards and practices globally", and "the integration of practice and theory".It provides certification and credentialing for professional risk managers, as well as other educational programs and resources.

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Thank You to Our Supporters

Past Attendees

Past Attendees of QuantUniversity workshops include Assette, Baruch College, Bentley College, Bloomberg, BNY Mellon, Boston University, Datacamp, Fidelity, Ford, Goldman Sachs, IBM, J.P. Morgan Chase, MathWorks, Matrix IFS, MIT Lincoln Labs, Morgan Stanley, Nataxis Global, Northeastern University, NYU, Pan Agora, Philips Health, Stevens Institute, T.D. Securities and many more..

*Now Enrolling*

Number of sessions: 3

Each weekly session: 2.5 hours

Delivery: Online through QuAcademy with Video, Demos, Case studies + Labs

Cohort 1: May 2nd, May 9th

Cohort 2: May 30th, June 6th, June 13th


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Just Enough Python for Data Science in Finance
$399.00

This course is designed to provide an introduction to Python for Data science applications for Financial Professionals It is recommended to take this course if you are new to Python and want to focus on machine learning applications

QuantUniversity Model Risk Management Certificate
$1,548.00

3 Courses leading to the QuantUniversity Model Risk Management Certificate 1. Just enough Python for Data Science 2. AI & Machine Learning for Financial Professionals 3. Model Risk Management for Machine Learning Models Certification

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