IBM

Applied Data Science Capstone

This course is part of multiple programs.

Yan Luo
Joseph Santarcangelo

Instructors: Yan Luo

Sponsored by Coursera Learning Team

175,030 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(7,186 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 13 hours
Learn at your own pace
89%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(7,186 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 

Details to know

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Assessments

12 assignments

Taught in English

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  • Earn a shareable career certificate
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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 (1,183 ratings)
Yan Luo
IBM
7 Courses321,616 learners
Joseph Santarcangelo
IBM
33 Courses1,704,068 learners

Offered by

IBM

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4.7

7,186 reviews

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Recommended if you're interested in Data Science

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