This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.
Applied Data Science Capstone
Applied Data Science Capstone
This course is part of multiple programs.
Instructors: Yan Luo
Sponsored by University of Texas at Austin
172,495 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(7,165 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 13 hours
Learn at your own pace
89%
Most learners liked this course
What you'll learn
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders
Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation
Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors
Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model
Skills you'll gain
Details to know
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Assessments
12 assignments
Taught in English
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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this module, you will be provided with an overview of the problem and the tools you need to complete the course.
What's included
3 videos1 reading4 assignments3 app items1 plugin
In this module, you will collect data on the Falcon 9 first-stage landings. You will use a RESTful API and web scraping. You will also convert the data into a dataframe and then perform some data wrangling.
What's included
1 video4 assignments2 app items
In this module, you will build a dashboard to analyze launch records interactively with Plotly Dash. You will then build an interactive map to analyze the launch site proximity with Folium.
What's included
1 video2 assignments2 app items
In this module, you will use machine learning to determine if the first stage of Falcon 9 will land successfully. You will split your data into training data and test data to find the best Hyperparameter for SVM, Classification Trees, and Logistic Regression. Then find the method that performs best using test data.
What's included
1 video2 assignments1 app item
In this module, you will compile all of your activities into one place and deliver your data-driven insights to determine if the first stage of Falcon 9 will land successfully.
What's included
2 videos3 readings1 peer review6 plugins
Instructors
Instructor ratings
4.6 (1,180 ratings)Offered by
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