Using Python and Excel for Investing in Stock

This course will show you how to use Excel and Python in tandem to pull stock data and related information, calculate returns and establish a portfolio management strategy, predict stock market trends and much more.

John Bura

Data Science | advanced | 5 hours | Published: Jan 2021

In partnership with:

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Overview

1.5KSTUDENTS^*

91.5%RECOMMEND^*

This course includes:

5+ hours of on-demand video
6 modules
Core level
Direct access/chat with the instructor
100% self-paced online
Many downloadable resources
Shareable certificate of completion

Stock markets trading activity generates massive amounts of information daily. This course will show you how to use Excel and Python in tandem to pull stock data and related information, calculate returns and establish a portfolio management strategy, predict stock market trends and much more. You will learn the fundamentals of linear regression and how this applies to machine learning, and specifically how to use this with stock market information. With these tools in hand, the instructor will help you to use machine learning to build a linear regression model to predict stock markets, as well as apply deep learning techniques (including applying Recurrent Neural Networks and Keras) to shape and scale your data and your model.

Skills You Will Gain

Excel

Investing

Python

Stock market

Learning Outcomes (At the end of this program you will be able to)

Understand how to use Excel and Python to gather, transform and report on stock market data
Create

Prerequisites

Who Should Attend

Curriculum

Instructors

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^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.