Applied Data Science Capstone

4.71

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Intermediate
Deadline
Flexible
Duration
11 hours
Certificate
Paid Certificate Available
Course author
Yan Luo
  • Explain the capstone project scenario and a problem that you will solve with location data.

  • Select a location data provider based on its features.

  • Demonstrate proficiency by creating a Jupyter Notebook for the capstone project and sharing it for peer review.

  • Describe the types of location data available in the Foursquare dataset.

Description

This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. 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 are tasked with predicting if the first stage of the SpaceX Falcon 9 rocket 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 you can accurately predict the likelihood of the first stage rocket landing successfully, you can determine the cost of a launch. 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. This course is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. It is expected that you have completed all of the prior courses in the specialization/certificate before starting this one, as it requires the application of the knowledge and skills taught in those courses. In this course, there will not be too much new learning, and instead, the focus will be on hands-on work to demonstrate what you have learned in the previous courses. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.

Similar courses

Foundations: Data, Data, Everywhere
  • Flexible deadline
  • 20 hours
  • Certificate
Ask Questions to Make Data-Driven Decisions
  • Flexible deadline
  • 18 hours
  • Certificate
Introduction to Statistics
  • Flexible deadline
  • 15 hours
  • Certificate
Applied Data Science Capstone
  • English language

  • Recommended provider

  • Certificate available