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 Introduction to Trading, Machine Learning & GCP online course is an intermediate level of course. Students can look up the programme on the official website of Coursera. In this programme, students will learn about trading, its features, trends, and aspects related to trading. The course will discuss the different quantitative strategies that are considered for trading and trading structure.
The course also talks about Google cloud and machine learning aspects in the programme. The Introduction to Trading, Machine Learning & GCP certification syllabus of the program is categorized on a weekly basis and demands four weeks for the program.
Students are free to set their schedules according to their willingness and the entire program can be completed in 9 hours. Through the assignments and exercises, the students are able to understand every concept properly. At the end of the Introduction to Trading, Machine Learning & GCP certification course, students can also complete the procedure of getting a certificate if they want to be a certified user of the program.
The Highlights
- Intermediate level program
- Divided into 4 weeks
- Offered by Coursera
- 9 hours of learning
- Certificate can be achieved
- Online learning experience
- Flexible study schedule
Programme Offerings
- Readings
- assignments
- video lectures
- practice exercise
- Discussion forum.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
- Students do not have to make any payment for the course in case they want to go for the audit mode of the program.
Introduction to Trading, Machine Learning & GCP Fees details
| Particulars | Fees in INR |
| Introduction to Trading, Machine Learning & GCP (audit only) | Free |
| Introduction to Trading, Machine Learning & GCP - 1 month | Rs. 4,115 /- |
| Introduction to Trading, Machine Learning & GCP - 3 months | Rs. 8,230 /- |
| Introduction to Trading, Machine Learning & GCP - 6 months | Rs. 12,345 /- |
Eligibility Criteria
Education
Students need to have a basic understanding of python programming, SQL, machine learning concepts such as Pandas, stats models, sci-kit learn, and concepts of financial markets such as equity, hedging, bonds, market structure, derivatives to pursue the program.
Certification Qualifying Details
Aspiring participants can take the subscription of the program that includes the certification of the course by paying the certification fee
What you will learn
In the Introduction to Trading, Machine Learning & GCP certification, students will be taught the following points-
- Students will gain information regarding the basics of trading which includes trends, volatility, stop loss, returns, etc. in the program.
- Learners will acquire knowledge about different types of arbitrage and their process.
- Students will gain valuable insights into the time series terminology in the Introduction to Trading, Machine Learning & GCP training.
- Participants will come to know about the different structures and quantitative strategies of trading.
- Candidates will gain an understanding of the applications of machine learning for financial uses.
- Students will be able to understand the difference between forecasting and regression.
- Candidates will be able to know about underfitting and overfitting in the Introduction to Trading, Machine Learning & GCP.
- Students will come to know about the sensitivity of trading strategy in the course.
Admission Details
Students will have to follow the given steps to get enrolled into the Introduction to Trading, Machine Learning & GCP programme-
Step 1- Candidates must go on the official website via the link -https://www.coursera.org/learn/introduction-trading-machine-learning-gcp
Step 2- Students need to create an account or log in to the account on Coursera.
Step 3- After the login process, students can enrol for the course by clicking on the Enrol for free option.
Step 4- After the enrolment, students can enter into the course.
Step 5- Students can click on the Go to course option to be able to access the lessons of the programme.
The Syllabus
Videos
- Class Overview - Who these courses are for
- Course Overview Introduction to Trading with Machine Learning on Google Cloud
- What are AI and ML? What is the difference between AI and ML?
- Applications of ML in the Real World
- What is ML?
- Game: The importance of good data
- Brief History of ML in Quantitative Finance
- Why Google?
- Why Google Cloud Platform?
- What are AI Platform Notebooks
- Using Notebooks
- Benefits of AI Platform Notebooks
- What do we want to model? Let's start simple
- Demo: Building a model with BigQuery ML
- How to use Qwiklabs for your Labs
- Lab Intro: Building a Regression Model
- Lab Walkthrough: Building a Regression Model
- Trading vs Investing
- The Quant Universe
- Quant Strategies
- Quant Trading Advantages and Disadvantages
- Exchange and Statistical Arbitrage
- Index Arbitrage
- Statistical Arbitrage Opportunities and Challenges
- Introduction to Backtesting
- Backtesting Design
Readings
- Supervised Learning and Regression
- Welcome to Introduction to Trading, Machine Learning and GCP
- Case Study: Capital Markets in the Cloud
Assignments
- Python Skills Assessment Quiz
- Google Cloud
- AI and Machine Learning
- Trading Concepts Review
App Item
- Qwiklabs: Building a Regression Model in AI Platform Notebooks
Videos
- What is forecasting? - part 1
- What is forecasting? - part 2
- Choosing the right model and BQML - part 1
- Choosing the right model and BQML - part 2
- Lab Intro: Forecasting Stock Prices using Regression in BQML
- Lab Walkthrough: Forecasting Stock Prices using Regression in BQML
Reading
- Staying current with BigQuery ML model types
Assignment
- Forecasting
App Items
- Qwiklabs: Building a Regression Model in BigQuery for AAPL Stock Data
- Qwiklabs: Movie Recommendations in BigQuery ML (Additional Practice with BigQuery ML)
Videos
- What is a time series?
- AR - Auto Regressive
- MA - Moving Average
- The Complete ARIMA Model
- ARIMA compared to linear regression
- How can you get a variety of models from just a single series?
- How to choose ARIMA parameters for your trading model
- Time Series Terminology: Auto Correlation
- Sensitivity of Trading Strategy
- Lab Intro: Forecasting Stock Prices Using ARIMA
- Lab Walkthrough: Forecasting Stock Prices using ARIMA
Assignment
- Time Series
App Item
- Qwiklabs: Building an ARIMA Model for a Financial Dataset
Videos
- Short history of ML: Neural Networks
- Short history of ML: Modern Neural Networks
- Overfitting and Underfitting
- Validation and Training Data Splits
- Course Recap + Preview of next course
Reading
- Example BigQuery ML DNN code
Assignments
- Recap Quiz
- Model generalization
Discussion Prompt
- Applying ML to Winter Ski Resort Problem
Instructors
New York Institute of Finance, New York Frequently Asked Questions (FAQ's)
The course can be joined at any time since it is an open course.
Students will be able to find the course on the website of Coursera.
Participants can click on the financial aid tab and follow the instructions given on the page.
Students can only get the certificate if they take the subscription and complete the whole program.
Yes, the certificates are verified by the provider of the course.
Yes, students can create an account on Coursera using their Gmail or Facebook details.
The official website link of Coursera is- https://www.coursera.org/learn/introduction-trading-machine-learning-gcp
Students will get familiar with the concepts of trading, market structures and strategies, machine learning, Google cloud, regression, forecasting, etc. in the program.