[UDACITY] ARTIFICIAL INTELLIGENCE AI FOR TRADING V1.0.0 - NANODEGREE

CAREER-READY NANODEGREE–nd880

Artificial Intelligence For Trading

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

• 2 Terms
• 6 months
• Study 5-10 hrs / week

CO – CREATED WITH

• WorldQuant

WHY ENROLL

Become career-ready faster

• INDUSTRY SIZE & DEMAND

  In India, algo-trading is expected to cross 25% mark of the total equity cash market trade volume by 2020.

• JOB OPPORTUNITIES

  Quants in India get up to 4-5 openings on an average to apply in a week, which varies from domestic trading companies to large MNCs

• RANKED #08 CNBC

  Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

• GLOBAL COMMUNITY

  Join a global community of quant traders and get a worldwide view of trading startegies with Worldquant

  
  

WHAT YOU LEARN

Study cutting edge Content

Prerequisites and Requirements

In order to succeed in this Nanodegree program, we strongly recommend that you have following prerequisites.
You should have some experience programming with Python, and be familiar with statistics, linear algebra, and calculus.Python programming knowledge

• Basic data structures
• Basic Numpy

Intermediate statistical knowledge

• Mean, median, mode
• Variance, standard deviation
• Random variables, independence
• Distributions, normal distribution
• T-test, p-value, statistical significance

Intermediate calculus and linear algebra knowledge

• Integrals and derivatives
• Linear combination, linear independence
• Matrix operations
• Eigenvectors, eigenvalues

New to Python programming? Check out our free Intro to Data Analysis course.

New to Python programming? Check out our free Programming Foundations with Pythoncourse.

Need to refresh your statistical and algebra knowledge? Check out our free statistics and linear algebra courses:

• Intro to Statistics free course
• Linear algebra refresher free course

TERM 1 : BASIC

TERM 2 : ADVANCED

AI Algorithms in Trading

Term fee includes

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS

• Sentiment Analysis with Natural Language Processing

  Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.

• Advanced Natural Language Processing with Deep Learning

  Learn to apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals.

• Simulating Trades with Historical Data

  Learn to refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells.

• Combining Multiple Signals

  Learn advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1

• Sentiment Analysis using NLP

PROJECT 2

• Deep Neural Network with News Data

PROJECT 3

• Backtesting

PROJECT 4

• Combine Signals for Enhanced Alpha

SERVICES

We guide and support you throughout your learning journey through these services.

Knowledge

• Search-based Q&A forum

Study Groups

• collaborate with fellow students & mentors

Project reviews & feedback

• actionable feedback from expert project reviewers

Your Nanodegree journey

• ENROLL IN TERM II

  to enroll, write to india@udacity.com, if you have completed Term 1

• BRUSH UP ON PRE-REQUISITES

  while you wait for classroom to open, brush up on pre-requisites

• CLASSROOM OPENS

  to know, write to india@udacity.com, if you have completed Term 1

  In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.

• SUBMIT PROJECTS

  submit all projects within 3 months

• COMPLETE TERM 2

  finish requirements for graduation

• NANODEGREE CERTIFICATE

  You are eligible to take part in our career fest Propel.

INSTRUCTORS

Learn from top Industry Experts

• 

  Jonathan Larkin

  CURRICULUM LEAD

  Jonathan has previously held leadership roles such as Global Head of Equities at Millennium Management and Co-Head of Americas Equity Derivatives Trading at JPMorgan.
• 

  Cindy Lin

  CURRICULUM LEAD

  Cindy is a quantitative analyst with experience working for financial institutions such as Bank of America Merrill Lynch, Morgan Stanley, and Ping An Securities. She has an MS in Computational Finance from Carnegie Mellon University.
• 

  Arpan Chakraborty

  INSTRUCTOR

  Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
• 

  Elizabeth Otto Hamel

  INSTRUCTOR

  Elizabeth received her PhD in Applied Physics from Stanford University, where she used optical and analytical techniques to study activity patterns of large ensembles of neurons. She formerly taught data science at The Data Incubator.
• 

  Eddy Shyu

  INSTRUCTOR

  Eddy has worked at BlackRock, Thomson Reuters, and Morgan Stanley, and has an MS in Financial Engineering from HEC Lausanne. Eddy taught data analytics at UC Berkeley and contributed to Udacity’s Self-Driving Car program.
• 

  Brok Bucholtz

  INSTRUCTOR

  Brok has a background of over five years of software engineering experience from companies like Optimal Blue. Brok has built Udacity projects for the Self Driving Car, Deep Learning, and AI Nanodegree programs.

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