7 Best Machine Learning Courses for Finance You Must Know (2021 Updated)

Why Machine learning in finance?

In finance, machine learning algorithms are used to detect fraud, automate trading activities, and provide financial advisory services to investors. Machine learning can analyze millions of data sets within a short time to improve the outcomes without being explicitly programmed.

Is machine learning important in finance?

Process automation is one of the most common applications of machine learning in finance. The technology allows to replace manual work, automate repetitive tasks, and increase productivity. As a result, machine learning enables companies to optimize costs, improve customer experiences, and scale up services.

How to choose the right online course for you?

Choosing the right course is always a difficult task for any individual.

So I have selected all these Courses based on some basic Criteria:

Course Content/Description
Course Quality,
Cost,
Knowledgeable and Professional Trainers
Career Opportunities,
Highest Reviewed,
Best Sellers,
Highest Rated,
Newest etc

7 Best Machine Learning Courses for Finance You Must Know

Machine Learning for Trading Specialization– Coursera

ENROLL For FREE 7-Day Trial https://bit.ly/2NTJiVJ

This is a specialization program offered by Coursera. This specialization will teach you how to construct effective trading strategies using Machine Learning (ML) and Python.

After completing this specialization program, you will know how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies.

This specialization program has 3 courses-

Introduction to Trading, Machine Learning & GCP
Using Machine Learning in Trading and Finance
Reinforcement Learning for Trading Strategies

Who Can Enroll?

Those who have basic knowledge in Python programming and familiarity with the Scikit Learn, Statsmodels, and Pandas library.
And those who have a background in statistics and foundational knowledge of financial markets.

ENROLL For FREE 7-Day Trial https://bit.ly/2NTJiVJ

Machine Learning for Finance in Python– DataCamp

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In this course, you will learn about time-series data and learn how to use different machine learning algorithms to predict the future price of stocks mainly in the US markets.

This course will also teach you how to evaluate the performance of the various models.

There are 4 lessons in this course-

Preparing data and a linear model
Machine learning tree methods
Neural networks and KNN
Machine learning with modern portfolio theory

Who Can Enroll?

Anyone who has basic knowedge in Python Programming and has a very basic knowledge of Supervised Learning with scikit-learn.

ENROLL For FREE 7-Day Trial https://bit.ly/3qxEDbo

Machine Learning & Reinforcement Learning in Finance Specialization– Coursera

ENROLL For FREE 7-Day Trial http://bit.ly/2ljEbAe

This specialization will provide the required knowledge to build a strong foundation on core paradigms and algorithms of machine learning for solving financial problems.

After completing this specialization, you will be knowing with world-famous approaches to modeling market frictions.

The specialization program has 4 courses-

Guided Tour of Machine Learning in Finance
Fundamentals of Machine Learning in Finance
Reinforcement Learning in Finance
Overview of Advanced Methods of Reinforcement Learning in Finance

Who Can Enroll?

Those who know basic math ( calculus, linear algebra, basic probability theory, and statistics) and have basic programming skills in Python.

ENROLL For FREE 7-Day Trial http://bit.ly/2ljEbAe

Using Machine Learning in Trading and Finance– Coursera

ENROLL For FREE 7-Day Trial https://bit.ly/3y1fsQH

In this course, you will learn how to develop advanced trading strategies using machine learning techniques.

You will learn various trading strategies like quantitative trading, pairs trading, and momentum trading.

Along with this, you will also learn how to build machine learning models using Keras and TensorFlow

Who Can Enroll?

Those who have basic Python knowledge and familiar with the Scikit Learn, Statsmodels, Pandas library.
Also who are familiar with statistics and the financial market.

ENROLL For FREE 7-Day Trial https://bit.ly/3y1fsQH

Reinforcement Learning for Trading Strategies – Coursera

ENROLL For FREE 7-Day Trial https://bit.ly/2U4rF8S

This course will teach you how to build trading strategies using reinforcement learning, how to differentiate between actor-based policies and value-based policies, and how to incorporate reinforcement learning into a momentum trading strategy.

Who Should Enroll?

Those who have knowledge in Python Programming and familiar with basic concepts in Machine Learning and Financial Markets.

ENROLL For FREE 7-Day Trial https://bit.ly/2U4rF8S

Python & Machine Learning for Financial Analysis– Udemy

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This course covers how to perform stock price predictions by using machine learning algorithms.

In this course, you will learn about Deep Neural Networks such as Long Short Term Memory (LSTM) networks, K-Means Clustering, Principal Components Analysis, and Natural Language Processing (NLP) to perform stocks sentiment analysis.

Who Should Enroll?

There is no prerequisite for this course. Anyone who want to learn machine learning for finance can enroll in this course.

ENROLL For FREE 7-Day Trial https://bit.ly/3qyj2iP

Python, Machine Learning and Algorithmic Trading Masterclass– Udemy

ENROLL For FREE 7-Day Trial https://bit.ly/3x0iVz4

In this course you will learn finance and algorithmic trading by using Python. At the beginning of the course, you will learn about python programming concepts, and later on, you will learn about machine learning and Quantopian.