Python Project for Data Science
Build a real-world data analysis dashboard using Python, web scraping, and data visualization. Perfect for hands-on portfolio development.
Build a real-world data analysis dashboard using Python, web scraping, and data visualization. Perfect for hands-on portfolio development.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.5
(4,214 ratings)
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Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Extract stock data using Python libraries and web scraping
Analyze historical stock and revenue data
Create interactive data visualization dashboards
Implement real-world data science workflows
Build a professional portfolio project
Skills you'll gain
This course includes:
0.15 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There is 1 module in this course
This project-based course simulates real-world data science work through a practical stock market analysis project. Students extract financial data using Python libraries and web scraping techniques, then create interactive dashboards using Pandas, Beautiful Soup, and Plotly. The hands-on approach focuses on building a complete analysis pipeline from data extraction to visualization, culminating in a portfolio-ready project demonstrating professional-grade data science skills.
Crowdsourcing Short squeeze Dashboard
Module 1 · 8 Hours to complete
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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4.5 course rating
4,214 ratings
Frequently asked questions
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