Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Machine Learning for Trading program will introduce you to the real-world challenges people face while implementing machine learning-based trading strategies. These strategies include algorithm steps for information gathering to preparing orders.
The Machine Learning for Trading course will familiarise you with applying probabilistic approaches to Machine Learning to trading decisions. The course will cover topics including trade signal generation and asset management, among others. You will learn how to apply statistical approaches like KNN, Regression Trees, and Linear Regression to actual stock trading situations.
The Machine Learning for Trading course is a four-month course by Udacity along with Georgia Tech. It is aimed at helping you complete real-world projects designed by industry experts. You are sure to master AI Algorithms for building a career-ready portfolio and excelling in trade. Most importantly, the course is free.
Arpan Chakraborty and Tucker Balch will be the instructors for the Machine Learning for Trading online programme.
The Highlights
- Four-month course
- Free course
- Online classes
- Intermediate level
- Self-paced learning
- Rich learning content
- Taught by Industry Pros
- Interactive Quizzes
Programme Offerings
- Online Classes
- Self-paced Course
- Four-month program
- Use of Pandas and NumPy
- quizzes
- Intermediate level study
- Rich learning content
- Taught By Industry Experts
- free course
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
You can enroll yourself by logging in or signing up at Udacity and start the course straight away.
Machine Learning for Trading fee structure
Course | Fees |
Machine Learning for Trading | FREE |
Eligibility Criteria
To enroll yourself in the online course in Machine Learning for Trading, you must have strong coding skills and be familiar with equity markets. However, a finance or machine learning experience is not necessary.
What you will learn
Upon finishing the Machine Learning for Trading course, you will:
- Be well-versed in the Computational Investing
- Have understood how to manipulate financial data in Python and the use of numerical computing libraries like Pandas and NumPy
- Be adept in the machine learning algorithms used for trading
Who it is for
While the Machine Learning for Trading course focuses on Finance and Computer Science, you will benefit from the course even if you come from a Mathematics, Engineering, or Management background.
Admission Details
To enroll yourself in the program in Machine Learning for Trading, you have to follow the steps given below:
Step 1: Go to the course page on https://www.udacity.com/course/machine-learning-for-trading--ud501.
Step 2: Click on “Start Free Course”.
Step 3: Log in or sign up with Google, Facebook, or your email account to enrol yourself.
After following these steps, the course will automatically begin, and you can get started with the first module.
Application Details
All applications for the Machine Learning for Trading Program will be submitted online. To apply, go on to https://www.udacity.com/course/machine-learning-for-trading--ud501 and log in or signup using Google or Facebook account. This will ensure your enrolment, following which you can begin learning. If you’re signing up with your institutional email ID, you need to provide your name, email ID and generate a unique password.