RiseUpp Logo
RiseUpp Logo
Introduction to Trading, Machine Learning & GCP
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

olive-leaves-logo

Introduction to Trading, Machine Learning & GCP

Learn essential concepts in quantitative trading, machine learning applications, and Google Cloud Platform implementation.

Course Cost

Free course

Intermediate

Skill Level

6 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning for Trading Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

olive-leaves-logo

4

54,557 Enrolled

olive-leaves-logo

English

Powered by

Provider Logo
olive-leaves-logo

4

54,557 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand trading fundamentals and quantitative strategies

  • Build machine learning models for financial applications

  • Implement trading strategies using Google Cloud Platform

  • Master time series analysis and ARIMA modeling

  • Develop neural network models for trading

  • Apply statistical arbitrage techniques

Skills you'll gain

Machine Learning
Financial Trading
Google Cloud Platform
Time Series Analysis
ARIMA Modeling
Neural Networks
Quantitative Trading
Statistical Arbitrage
BigQuery ML
Python Programming

This course includes:

3 Hours PreRecorded video

8 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This comprehensive course introduces the intersection of machine learning and financial trading using Google Cloud Platform. Students learn fundamental trading concepts, quantitative strategies, and machine learning applications in finance. The curriculum covers regression models, time series analysis, ARIMA modeling, and neural networks, with hands-on implementation using Google Cloud tools like BigQuery ML and AI Platform Notebooks.

Introduction to Trading with Machine Learning on Google Cloud

Module 1 · 4 Hours to complete

Supervised Learning with BigQuery ML

Module 2 · 2 Hours to complete

Time Series and ARIMA Modeling

Module 3 · 1 Hours to complete

Introduction to Neural Networks and Deep Learning

Module 4 · 57 Minutes to complete

Fee Structure

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Introduction to Trading, Machine Learning & GCP

Intermediate

Skill Level

6 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.