Mammoth Club All levels 7 sections 43 lectures

Data Science with Stocks, Excel and Machine Learning

Learn how to build machine learning models for the stock market with Python and Excel.

01
Skill level
All levels
02
Sections
7
03
Lectures
43
04
Instructor
John Bura
What's inside

This course includes.

7
Sections
43
Lectures
43
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

7 sections · 43 lectures
+ Welcome! 1 lecture
00 Welcome to the Course Locked
+ 01 Project: Track Stocks in Excel 7 lectures
01.00 What You'll Learn Locked
01.01 Pull In Stock Data Locked
01.02 Pull In More Stock Information Locked
01.03 Calculate Equity And Returns Locked
01.04 Calculate Selling Strategy Locked
01.05 Calculate Total Returns Locked
01 Source Files Locked
+ 02A Other Techniques of Stock Prediction in Excel 6 lectures
02.01 Pull Historical Stock Data Locked
02.02 Predict Stocks With Moving Average Locked
02.03 Visualize Accuracy Locked
02.04 What Is Exponential Smoothing Locked
02.05 Predict Stocks With Exponential Smoothing Locked
02 Source Files Locked
+ 02B Linear Regression on Stock Data in Excel 6 lectures
02B.00 What You'll Learn Locked
02B.01 Pull Historical Stock Data Locked
02B.02 What Is Linear Regression Locked
02B.03 Linear Regression On Stock Data In Excel Locked
02B.04 Check Accuracy Of Linear Regression Locked
02b Source Files Locked
+ 03A Machine Learning Project Introduction 4 lectures
03.00 What You'll Learn Locked
03.01 Build Models On The Web Locked
03.02 What Libraries Will We Use Locked
03 Source Files Locked
+ 03B Your First Machine Learning Stock Prediction Project 8 lectures
03B.01 Scrape Data Via API Locked
03B.02 Define Variables Locked
03B.03 Split Dataset For Training And Testing Locked
03B.04 Build A Linear Regression Model Locked
03B.05 Predict Stock Prices Locked
03B.06 Calculate Model Accuracy Locked
03B.07 Predict To Buy Or To Sell Locked
03B Source Files Locked
+ 04 Deep Learning Project for Stock Market Prediction 11 lectures
04.00 Recurrent Neural Networks Locked
04.01 Import Stock Data Locked
04.02 What Is Shaping Data Locked
04.03 Shape Training And Testing Data Locked
04.04 What Is Scaling Data Locked
04.05 Scale Data For Training Locked
04.06 What Is Keras Locked
04.07 Build A Keras Model Locked
04.08 Scale And Shape Data For Testing Locked
04.09 Test The Model Locked
04 Source Files Locked
Description

About this course.

Learn hands on data science with stocks for absolute beginners.

Hands On Lectures Including:

Learn how to track stocks in Excel by pulling in data and performing calculations to automate your stock trading.

Learn how to predict stocks in Excel with multiple techniques.

Learn how to perform linear regression in Excel.

Build machine learning in Python using what you learned about linear regression in Excel.

Build your first deep learning model with Keras for neural networks.

And much more!

A SCHOOL YOU CAN TRUST

  • Lifetime access that never expires
  • Project-based curriculum to superboost your portfolio
  • Graduation certificate for every course
  • Absolute beginner-friendly
  • New courses every month
  • Efficient lectures with step by step explanations
  • Relevant industry topics 8 years of award-winning course delivery
  • 700,000 students in 186 countries
  • Learn with free tools and affordable courses

Enroll now to go through a deep dive of the most popular spreadsheet tool on the market, Microsoft Excel. Build your own spreadsheets from scratch, and actually understand how they work! Concise, yet comprehensive and informative.


Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

Ready to start building?

Learn how to build machine learning models for the stock market with Python and Excel.

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