Applied Data Science Capstone
Master data science through a real-world SpaceX project. Apply machine learning to predict rocket landing success in this hands-on IBM capstone course.
Master data science through a real-world SpaceX project. Apply machine learning to predict rocket landing success in this hands-on IBM capstone course.
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.
4.7
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Demonstrate proficiency in data science methodology with real-world datasets
Perform data collection, wrangling, and exploratory analysis
Create interactive visualizations and dashboards
Develop machine learning models for predictive analysis
Evaluate and compare different ML models for optimal results
Present data-driven insights to stakeholders
Skills you'll gain
This course includes:
0.25 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This capstone project course puts learners in the role of a data scientist working for a SpaceX competitor. The course focuses on applying the complete data science methodology to a real-world challenge: predicting the successful landing of SpaceX Falcon 9 rocket's first stage. Through hands-on work, students collect data using APIs and web scraping, perform data wrangling, conduct exploratory data analysis, create interactive visualizations, and develop machine learning models. The project culminates in a comprehensive presentation of findings that could help a competing company make informed bids against SpaceX for rocket launches.
Introduction
Module 1 · 3 Hours to complete
Exploratory Data Analysis (EDA)
Module 2 · 2 Hours to complete
Interactive Visual Analytics and Dashboard
Module 3 · 2 Hours to complete
Predictive Analysis (Classification)
Module 4 · 1 Hours to complete
Present Your Data-Driven Insights
Module 5 · 2 Hours to complete
Fee Structure
Instructors
AI and Machine Learning Expert at IBM Canada
Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.
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.
Testimonials
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4.7 course rating
7,126 ratings
Frequently asked questions
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