Explore, Track, Predict the ISS in Realtime With Python
- Development
- Apr 15, 2025

Explore, Track, Predict the ISS in Realtime With Python, available at Free, has an average rating of 4.8, with 6 lectures, based on 100 reviews, and has 12121 subscribers.
You will learn about 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 This course is ideal for individuals who are The curious and the space lovers – all are welcome! It is particularly useful for The curious and the space lovers – all are welcome!.
Enroll now: Explore, Track, Predict the ISS in Realtime With Python
Summary
Title: Explore, Track, Predict the ISS in Realtime With Python
Price: Free
Average Rating: 4.8
Number of Lectures: 6
Number of Published Lectures: 6
Number of Curriculum Items: 6
Number of Published Curriculum Objects: 6
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Lets Explore Real Time ISS Data
Lecture 3: Tracking, Collecting, and Mapping the ISS Journey Through Time
Lecture 4: Predicting Where the ISS is Going with Linear and Polynomial Regressions
Lecture 5: Flask Primer
Lecture 6: Creating a Web Application and Porting it to the Cloud
Instructors

Manuel Amunategui
Data Scientist & Quantitative Developer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
- Random Picks
- Popular
- Hot Reviews
- 3DS Max Tutorial. Learn The Art of Modelling and Animation
- Personal Finance
- Company Valuation Financial Modeling
- The Beginner Forex Trading Playbook
- Step-By-Step Stock Market Analysis and Real-Time Trades
- Learn Easy HTML5 Game Development in Construct 2
- Beginner Vizrt Artist Training
- Stock Screener Ninja- Stock Picking Certification 4 Dummies
- 1YouTube Masterclass The Best Guide to YouTube Success
- 2Photoshop CC- Adjustement Layers, Blending Modes Masks
- 3Personal Finance
- 4SolidWorks Essential Training ( 2023 2024 )
- 5The Architecture of Oscar Niemeyer
- 6Advanced Photoshop Manipulations Tutorials Bundle
- 7Polymer Clay Jewelry Making Techniques for Beginners
- 8SEO for Web Developers
- 1Linux Performance Monitoring Analysis Hands On !!
- 2Content Writing Mastery 1- Content Writing For Beginners
- 3Media Training for PrintOnline Interviews-Get Great Quotes
- 4Learn Facebook Ads from Scratch Get more Leads and Sales
- 5The Complete Digital Marketing Course Learn From Scratch
- 6C#- Start programming with C# (for complete beginners)
- 7[FREE] How to code 10 times faster with Emmet
- 8Driving Results through Data Storytelling