New CFA Society Boston Professional Learning Offering

Data Science & AI for Investment Professionals

COURSE DETAILS

This course, geared towards financial professionals will discuss key concepts needed to write and understand Data Science and AI applications in Python. Rather than overwhelming 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!.

The course will be held LIVE at the CFA Society Boston offices with an option to attend the classes virtually over Zoom.Using QuAcademy, our remote-learning platform and Jupyter notebooks, we will practice building AI applications working with financial datasets.

CFA Society Boston has partnered with QuantUniversity to offer this course. This course is eligible for Professional Learning Credits.

CFA Institute members are eligible for an additional 10% off! Use coupon "CFA10" for a 10% discount on non-member prices.

Note: All courses come with 90-day access to course materials on Qu.Academy from the class-start date. You can extend access to Qu.Academy.

Delivery

LIVE in Boston, MA or Online

Duration

1 Day

Hours

8.30-4.30pm edt, November 14th 2023

Registration Options
Live Class in Boston,MA
Live Virtual Option
Register

MODULES 1: THE BASICS

Introduction to Python

  • The Data Science Revolution: Why you need to learn Data Science now!
  • The Python Ecosystem: Popular Data Science and analysis packages
  • Case study 1: Exploring data in Python: Time series and Cross-sectional datasets

MODULES 2: DATA SCIENCE METHODS

Analyzing data and Visualization

  • Understanding relationships in Data
  • Exploring and Visualizing Data using pandas, matplotlib, seaborn & plotly
  • Case study 2: Visualizing stock portfolios

MODULES 3: MACHINE LEARNING TECHNIQUES

The power of machine learning

  • Supervised, Unsupervised and Reinforcement Learning
  • Lab: Clustering Stock Data
  • Case study 3: Predicting stock returns using machine learning techniques

MODULES 4: CASE STUDIES & PRACTICAL APPLICATIONS IN FINANCE

Data Science in Action

  • Case study 4: Extracting sentiments from Edgar filings using NLP techniques
  • Recap, next steps and frontier topics: Reinforcement learning, Quantum Computing, AI, GPU-accelerated and Cloud computing

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..