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

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

QuantUniversity has partnered with PRMIA.org to offer this course.

Dates

On-Demand

Number of sessions

3

Each session

2.5 Hours

Delivery

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

MODULES

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

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

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

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

"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

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..