4.7
stars
6,501 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.

Coursera Labs

Includes hands on learning projects.

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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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

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 (996 Ratings)

Yan Luo

Ph.D., Data Scientist and Developer

IBM

189,868 Learners

8 Courses

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

927,625 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%(5,572 ratings)

Week1

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

Week2

Week 2

3 hours to complete

Exploratory Data Analysis (EDA)

3 hours to complete

1 video (Total 2 min)

Week3

Week 3

3 hours to complete

Interactive Visual Analytics and Dashboard

3 hours to complete

1 video (Total 2 min)

Week4

Week 4

2 hours to complete

Predictive Analysis (Classification)

2 hours to complete

1 video (Total 1 min)

Reviews

4.7

899 reviews

5 stars
80.29%
4 stars
14.15%
3 stars
3.11%
2 stars
1.09%
1 star
1.33%

TOP REVIEWS FROM APPLIED DATA SCIENCE CAPSTONE

by YSJul 9, 2019

This course is instructive and challenging at the same time. Now I do wish I know a bit more about python and pandas before I jump in this course. But in the end I managed to get through.

by HADec 12, 2019

A real data science projet. This one took me the most time between all other courses in this formation. I is useful and make you work with real problems and searching for real data.

by SJMar 23, 2019

Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.

by SGMar 3, 2020

Very good capstone project. Learnt lot of insights on how to represent data through out this course.

Very good starting point for ""Data Science" field. I would definitely recommend this course.

View all reviews

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Applied Data Science Capstone

About this Course

What you will learn

Skills you will gain