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Catalog / All levels / Financial Data Science Mastery: Stocks, Excel & Machine Learning with Python with 10 Exams
Mammoth Club All levels 19 sections 55 lectures

Financial Data Science Mastery: Stocks, Excel & Machine Learning with Python with 10 Exams

Markets are driven by data—and analyzing that data requires the right tools. This course blends Excel, Python, and machine learning to help you explore financial datasets, uncover patterns, and test predictive strategies.

Created by John Bura
01
Skill level
All levels
02
Sections
19
03
Lectures
55
04
Instructor
John Bura
What's inside

This course includes.

✓
19
Sections
✓
55
Lectures
✓
43
Resources
✓
11
Quizzes
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

9 sections · 45 lectures
+ Test Your Knowledge! 1 lecture
Practice Code Exam Locked
+ Challenge Your 10 FREE Practice Exams 1 lecture
Where to Find Your Exams Locked
+ 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
Source Files Locked
+ 02A Other Techniques of Stock Prediction in Excel 6 lectures
02.00 Pull Historical Stock Data Locked
02.01 Predict Stocks With Moving Average Locked
02.02 Visualize Accuracy Locked
02.03 What Is Exponential Smoothing Locked
02.04 Predict Stocks With Exponential Smoothing Locked
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
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
Source Files Locked
+ 03B Your First Machine Learning Stock Prediction Project 8 lectures
03B.00 Scrape Data Via API Locked
03B.01 Define Variables Locked
03B.02 Split Dataset For Training And Testing Locked
03B.03 Build A Linear Regression Model Locked
03B.04 Predict Stock Prices Locked
03B.05 Calculate Model Accuracy Locked
03B.06 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.

✅ Use Excel for quick exploration and modeling

✅ Transition workflows into Python for deeper analysis

✅ Apply machine learning models to stock-related data

✅ Strengthen knowledge through 10 structured exams


Financial data science builds the bridge between technical skills and applied decision-making. Built by people, strengthened with AI and refined by human editors, these tutorials include instant chat support and interactive quizzes that turn learning into action.


🎁 Gain practical experience with data-driven approaches to finance.

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?

Markets are driven by data—and analyzing that data requires the right tools. This course blends Excel, Python, and machine learning to help you explore financial datasets, uncover patterns, and test predictive strategies.

Buy lifetime access →