Explore, Track, Predict the ISS in Realtime With Python

Where is the International Space Station, Who's On It? Let's Build a Web App to Find out with Python and Data Science
Rating: 4.3 out of 5 (20 ratings)
6,572 students
Explore, Track, Predict the ISS in Realtime With Python
Rating: 4.3 out of 5 (20 ratings)
6,574 students
How to track the International Space Station using Rest APIs
How to forecast using univariate data
How to run a linear and polynomial regression in Python

Requirements

  • Student should know the basics of Python, installing and loading libraries and running a Jupyter notebook
Description

Join me as we explore space, the ISS, Python and some of the basics of data science. I will show how to locate the International Space Station in realtime using Python and a rest API call and how to build a web app to share it with the world. I will also show you:


- How to get the names of astronauts currently on board

- Get the realtime location of the ISS

- Plot the ISS on a world map

-Track and collect the ISS position for historic analysis

- Model ISS location data using both linear and polynomial regressions

- Create a real mobile Web Application on the cloud so you can use your phone to share the location of the ISS to all your friends

- Add a link to the official ISS live feed


So astronauts, young and old, very young and very old, climb on board, and let's have some fun!

Who this course is for:
  • The curious and the space lovers - all are welcome!
Curriculum
1 section • 6 lectures • 1h 12m total length
  • Introduction
  • Let's Explore Real Time ISS Data
  • Tracking, Collecting, and Mapping the ISS Journey Through Time
  • Predicting Where the ISS is Going with Linear and Polynomial Regressions
  • Flask Primer
  • Creating a Web Application and Porting it to the Cloud

Instructor
Data Scientist & Quantitative Developer
Manuel Amunategui
  • 4.3 Instructor Rating
  • 888 Reviews
  • 26,806 Students
  • 12 Courses

Data scientist with over 20-years experience in the tech industry, MAs in Predictive Analytics and International Administration, author of Monetizing Machine Learning and The Little Book of Fundamental Indicators, founder of FastML, reached top 1% on Kaggle and awarded "Competitions Expert" title, taught over 20,000 students on Udemy and VP of Data Science at SpringML.


From consulting in machine learning, healthcare modeling, 6 years on Wall Street in the financial industry, and 4 years at Microsoft, I feel like I’ve seen it all. And this has opened my eyes to the huge gap in educational material on applied data science. Like I say:


"It just ain’t real 'til it reaches your customer’s plate"


I am a startup advisor and available for speaking engagements with companies and schools on topics around building and motivating data science teams, and all things applied to machine learning.


Reach me at amunategui@gmail.com