Course Summary
Analyze data using Python and its libraries such as NumPy, Pandas, Matplotlib and Seaborn. Learn how to manipulate and clean data, create data visualizations, and apply statistical analysis techniques.Key Learning Points
- Learn Python programming for data analysis
- Clean and manipulate data using NumPy and Pandas libraries
- Visualize data using Matplotlib and Seaborn libraries
- Apply statistical analysis techniques to data
Related Topics for further study
- Python programming
- Data cleaning and manipulation
- Data visualization
- Statistical analysis
- Data analysis techniques
Learning Outcomes
- Ability to analyze and manipulate data using Python libraries
- Skills in creating data visualizations
- Understanding of statistical analysis techniques
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming concepts
- Familiarity with Python programming language
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Applied Data Science with Python
Related Education Paths
Related Books
Description
Using publicly available data from NASA of actual satellite observations of astronomical x-ray sources, we explore some of the mysteries of the cosmos, including neutron stars, black holes, quasars and supernovae. We will analyze energy spectra and time series data to understand how these incredible objects work. We utilize an imaging tool called DS9 to explore the amazing diversity of astronomical observations that have made x-ray astronomy one of the most active and exciting fields of scientific investigation in the past 50 years.
Outline
- Light and the Nature of Images....Plus, an Introduction to DS9
- Course Overview
- Lecture 1 The Nature of Images
- Lecture 2 Image Formation
- Lecture 3 Skipping Stones and X-ray Images
- Lecture 4 The Perception of Images
- Lecture 5 Introduction to DS9--Part I
- Lecture 6 Introduction to DS9--Part II
- Introduction
- Syllabus
- Light and the Nature of Images. Plus, an introduction using DS9
- Week 1 Wiki
- Quiz 1: Week 1
- Basic Astronomical Data and a DS9 Smorgasbord
- Week 2 - Lecture 1 The DS9 Smorgasbord--Part I
- Lecture 2 The DS9 Smorgasbord--Part II
- Lecture 3 "Lies, Damned Lies, and Statistics"
- Lecture 4 Atomic Spectra, the Fingerprints of the Stars
- Lecture 5 The Cosmic Distance Scale -- Part I
- DS9 and Astronomical Data
- Week 2 Wiki
- Quiz 2: Week 2
- Stellar Evolution and White Dwarfs
- Week 3- Lecture 1 Putting It All Together-- The HR Diagram
- Lecture 2 Of GK-Per and White Dwarfs, Part 1
- Lecture 3 Of GK-Per and White Dwarfs, Part 2
- Lecture 4 Of GK-Per and White Dwarfs, Part 3
- GK Per -- An in depth analysis
- Week 3 Wiki
- Quiz 3: Week 3
- Orbits, Gravity, and Clocks in the Sky
- Week 4 - Lecture 1 Orbits
- Lecture 2 A Matter of Some Gravity
- Lecture 3 Of Hummingbirds, Trains and The Doppler Shift
- Lecture 4 Clocks in the Sky-- Cen X-3, Part 1--Exosat
- Lecture 5 Clocks in the Sky-- Cen X-3, Part 2
- Lecture 6 Clocks in the Sky-- Cen X-3, Part 3
- Lecture 7 Clocks in the Sky--Cen X-3, Part 4--Chandra
- Clocks in the Sky
- Week 4 Wiki
- Quiz 4: Week 4
- Supernovae, Our Cosmic Recycling Centers
- Week 5 - Lecture 1 Cosmic Recycling Centers and Cas-A, Part 1
- Lecture 2 Cosmic Recycling Centers and Cas-A, Part 2: "Color it X-ray"
- Cosmic Recycling Centers
- Week 5 Wiki
- Quiz 5: Week 5
- To the Ends of the Universe; Quasars, 3C273, and beyond
- Week 6 - Lecture 1 The Time Machine, Part 1
- Lecture 2 The Time Machine, Part 2
- Lecture 3 The Time Machine, Part 3
- Lecture 4 The Time Machine, Part 4
- Lecture 5 To the Ends of the Universe: The Cosmic Distance Scale -- Part II
- Coming into the home stretch
- Week 6 Wiki
- Wrapping it all up
- Quiz 6: Week 6
Summary of User Reviews
This course has received positive reviews from many users. Learners found the course to be informative, engaging and thought-provoking. One key aspect that many users thought was good is the instructor's ability to explain complex concepts in a simple and easy-to-understand manner.Pros from User Reviews
- Informative course content
- Engaging and thought-provoking
- Instructor explains complex concepts in a simple and easy-to-understand manner
- Flexible schedule
- Variety of assignments and quizzes
Cons from User Reviews
- Some learners found the course to be too challenging
- Course material can be overwhelming at times
- Limited interaction with the instructor
- Some learners experienced technical difficulties with the platform
- Course requires a significant time commitment
Dr. Terry A. Matilsky
4.7 Raiting
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