Just Enough Python For Data Science - Finance Edition

Understand the core Python constructs needed to build scalable data science and machine learning applications

COURSE DETAILS

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 QuAcademy, 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

Delivery:

  • LIVE: Email info@qusandbox.com for upcoming LIVE training dates
  • ON DEMAND: Pre-recorded sessions with interactive videos, slides, demos and fully functional code through Qu.Academy.
*Combo offer*

This course is a part of the QuantUniversity Machine Learning and AI Risk Certificate Program. Avail additional discounts by enrolling to the Certification program.

QuantUniversity has partnered with (Professional Risk Managers' International Association)PRMIA to offer this course and is eligible for Continued Risk Learning Credits

Note: All courses come with a 90-day access to course materials and recordings Qu.Academy from the activation/class-start date. You can extend access to Qu.Academy. Contact us for subscription options. All sales are final. No request for cancellations, exchanges, changes or refunds shall be honored.

Delivery

LIVE/ON DEMAND

Number of Modules

3 modules

Each module

2.5 Hours/module

Registration options
ON DEMAND:
Access now through Qu.Academy
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MODULES 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

MODULES 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

MODULES 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
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SAMPLE FREE LECTURE

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

See Lecture

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..