4.7
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6,439 ratings

Yan Luo +1 more instructor

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Part of the Bachelor of Applied Arts and Sciences degree
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IBM Skills Network

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.

Approx. 17 hours to complete

English

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What you will 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 will gain

Methodology
Github
Jupyter Notebook
Data Science Methodology
K-Means Clustering

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.

Approx. 17 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.61/5 (976 Ratings)

Yan Luo

Ph.D., Data Scientist and Developer

IBM

177,146 Learners

8 Courses

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

885,133 Learners

26 Courses

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating88%(5,301 ratings)

Week

Week 1

7 hours to complete

Introduction

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.

7 hours to complete

3 videos (Total 10 min), 1 reading, 8 quizzes

Week

Week 2

3 hours to complete

Exploratory Data Analysis (EDA)

3 hours to complete

1 video (Total 2 min)

Week

Week 3

3 hours to complete

Interactive Visual Analytics and Dashboard

3 hours to complete

1 video (Total 2 min)

Week

Week 4

2 hours to complete

Predictive Analysis (Classification)

2 hours to complete

1 video (Total 1 min)

Reviews

4.7

880 reviews

5 stars
80.27%
4 stars
14.15%
3 stars
3.12%
2 stars
1.10%
1 star
1.35%

TOP REVIEWS FROM APPLIED DATA SCIENCE CAPSTONE

by THJul 9, 2019

This is a great course and lots of fun. But it is a big commitment and you need to take it seriously. To get the most out of this course you will need to spend at least 30 hours doing it.

by LDOct 23, 2019

Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills

by AMAug 8, 2020

This course gives a good overall exposure, in terms of providing the freedom to choose your own set of tasks and explore things on your own, just like any real life projects. I enjoyed it!

by WOAug 16, 2020

This course for me was very challenging, not only for the assessments but also because I introduced new tools to my study like APIs. I really appreciate the time and the knowledge you gave me.

View all reviews

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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. If you only want to read and view the course content, you can audit the course for free.

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Applied Data Science Capstone

About this Course

What you will learn

Skills you will gain