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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 course is a free programme that does not require any admission fee or registration charges and allows the candidates to enjoy the learning experience at their own speed. 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
Free of cost program
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. 4,018 /-
Introduction to Trading, Machine Learning & GCP - 3 months	Rs. 8,037 /-
Introduction to Trading, Machine Learning & GCP - 6 months	Rs. 12,056 /-

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

Knowledge of AlgorithmsMachine learningKnowledge of cloud computing

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

Practice Exercises

AI and Machine Learning
Trading Concepts Review
Python Skills Assessment Quiz
Google Cloud

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

Practice Exercise

Forecasting

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

Practice Exercise

Time Series

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

Practice Exercises

Recap Quiz
Model generalization

Instructors

New York Institute of Finance, New York Frequently Asked Questions (FAQ's)

1: When can I get enrolled in the program?

The course can be joined at any time since it is an open course.

2: Where can I find the Introduction to Trading, Machine Learning & GCP training?

Students will be able to find the course on the website of Coursera.

3: What is the process to apply for the scholarship scheme available in the course?

Participants can click on the financial aid tab and follow the instructions given on the page.

4: How will I be able to achieve the certificate for the program?

Students can only get the certificate if they take the subscription and complete the whole program.

5: Is the certification for Introduction to Trading, Machine Learning & GCP by Coursera verified?

Yes, the certificates are verified by the provider of the course.

6: Can I sign in to the program using my Gmail account?

Yes, students can create an account on Coursera using their Gmail or Facebook details.

7: What is the official website link of Coursera?

The official website link of Coursera is- https://www.coursera.org/learn/introduction-trading-machine-learning-gcp

8: What are the main topics that are included in the program?

Students will get familiar with the concepts of trading, market structures and strategies, machine learning, Google cloud, regression, forecasting, etc. in the program.