Python Data Science Project: Stock Analysis Dashboard
Build a practical data science project using Python to create a stock performance dashboard with web scraping and data visualization.
Build a practical data science project using Python to create a stock performance dashboard with web scraping and data visualization.
This hands-on project course allows students to apply Python skills in a real-world data science context. Participants develop a comprehensive dashboard analyzing stock performance using various Python libraries including Pandas, NumPy, and yfinance. The course covers web scraping with Beautiful Soup and data manipulation techniques, culminating in creating an interactive dashboard displaying key performance indicators. This project-based learning experience helps demonstrate practical Python skills for data science applications.
4.3
(42 ratings)
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Instructors:
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What you'll learn
Create a comprehensive stock analysis dashboard using Python
Implement web scraping techniques with Beautiful Soup library
Analyze financial data using Pandas and NumPy
Visualize stock performance metrics effectively
Develop interactive data visualizations for financial analysis
Demonstrate practical Python skills in a real-world context
Skills you'll gain
This course includes:
PreRecorded video
Peer assignments, Project evaluation
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 2 modules in this course
This project-based course provides hands-on experience in applying Python for data science applications. Students work on a comprehensive project to create a stock performance dashboard, incorporating web scraping, data analysis, and visualization techniques. The curriculum focuses on practical implementation of Python libraries such as Pandas, NumPy, and Beautiful Soup to collect, process, and visualize financial data. The course emphasizes real-world application of data science skills through the development of an interactive dashboard.
Intro to Web Scraping
Module 1
Final Project: Analyzing Stock Performance and Building a Dashboard
Module 2
Fee Structure
Instructors
Data Scientist at IBM Canada, Passionate About Guiding Others in Data Science and Machine Learning
He is a data scientist on the Skills Network team at IBM Canada, where he creates a variety of engaging ML courses and projects. Currently, he is studying statistics and mathematics at the University of Toronto. He is passionate about guiding individuals on their journey through the fascinating world of data science and machine learning.
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
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4.3 course rating
42 ratings
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