How does this project help me prove my data storytelling skills to stakeholders?

A great data scientist must be able to translate complex algorithmic outputs into actionable business strategies. The final phase of this capstone requires you to compile your findings into a comprehensive report for stakeholders. Using your model's predictive insights on whether the Falcon 9 first stage will land successfully, you will formulate a competitive bidding strategy for an alternate aerospace startup. This portfolio piece proves to employers that you possess both technical machine learning skills and corporate data literacy.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Applied Data Science Capstone

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Applied Data Science Capstone

This course is part of multiple programs.

Instructors: Yan Luo

203,855 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

7,425 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

88%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

7,425 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

88%

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

Tools you'll learn

GitHub

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

91% of learners achieved a positive career outcome

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Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

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.

In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You will be tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. In this course, there will not be much new learning, instead you’ll focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your data science and machine learning portfolio to showcase to employers.

Module details

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

3 videosTotal 10 minutes

Project Scenario and Overview3 minutes
Data Collection Overview4 minutes
Data Wrangling Overview2 minutes

1 readingTotal 3 minutes

Course Introduction3 minutes

4 assignmentsTotal 30 minutes

Check Points: Data Collection API6 minutes
Check Points: Data Wrangling 8 minutes
Graded Quiz: Data Collection API with Webscraping8 minutes
Graded Quiz: Data Wrangling Quiz8 minutes

3 app itemsTotal 180 minutes

Hands-on Lab: Complete the Data Collection API Lab60 minutes
Hands-on Lab: Complete the Data Collection with Web Scraping lab60 minutes
Hands-on Lab: Data Wrangling60 minutes

1 pluginTotal 15 minutes

Getting started with GitHub15 minutes

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

1 videoTotal 2 minutes

Exploratory Data Analysis Overview2 minutes

4 assignmentsTotal 24 minutes

Check Points: Exploratory Analysis Using SQL 2 minutes
Check Points: Complete the EDA with Visualization6 minutes
Exploratory Data Analysis using SQL10 minutes
Exploratory Data Analysis for Data Visualization6 minutes

2 app itemsTotal 120 minutes

Hands-on Lab: Complete the EDA with SQL60 minutes
EDA with Visualization Lab60 minutes

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

1 videoTotal 2 minutes

Interactive Visual Analytics and Dashboards2 minutes

2 assignmentsTotal 40 minutes

Check Points: Interactive Visual Analytics and Dashboard 30 minutes
Graded Quiz: Interactive Visual Analytics and Dashboard10 minutes

2 app itemsTotal 120 minutes

Hands-on Lab: Interactive Visual Analytics with Folium lab60 minutes
Hands-on Lab: Build an Interactive Dashboard with Plotly Dash60 minutes

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 review1 app item6 plugins

2 videosTotal 8 minutes

Elements Of A Successful Data Findings Report5 minutes
Best Practices For Presenting Your Findings3 minutes

3 readingsTotal 14 minutes

Congratulations and Next Steps10 minutes
Credits and Acknowledgments2 minutes
Copyrights and Trademarks2 minutes

1 peer reviewTotal 60 minutes

Option 2: Peer Graded - Final Project Submission and Evaluation60 minutes

1 app itemTotal 60 minutes

Option 1: AI Graded - Final Project: Submission and Evaluation60 minutes

6 pluginsTotal 85 minutes

Reading: Structure Of A Report15 minutes
(Optional) Hands-on Lab: Getting Started With PowerPoint For The Web20 minutes
(Optional) Hands-on Lab: Basics of PowerPoint15 minutes
(Optional) Hands-on Lab: Save your PowerPoint Presentation as PDF5 minutes
Final Project Overview15 minutes
Reading: Final Project Submission Guidelines and Deliverables15 minutes

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Instructors

Instructor ratings

(1,239 ratings)

Yan Luo

IBM

7 Courses408,377 learners

Joseph Santarcangelo

IBM

37 Courses2,468,040 learners

Offered by

IBM

Learner reviews

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Showing 3 of 7425

Reviewed on Sep 27, 2020

Very in-depth and rewarding project - would be a little better if more specific guidance on what to exactly include in the notebook would be better. But overall very stimulating. Thanks!

Reviewed on Jan 15, 2020

Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.

Reviewed on Apr 13, 2023

It has been one heck of a journey, there were moments of confusion but then followed by the joy of eureka. I have found the course very useful. Special thanks to the creators and the instructors

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