Udacity - Artificial Intelligence AI for Trading v1.0.0 （ Part1+Part2）

Udacity - Artificial Intelligence AI for Trading v1.0.0 （ Part1+Part2）

Size: 5.69 GB



https://www.udacity.com/course/ai-for-trading–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.