- Introduction
- Downloading Population Data and Quick Exploratory Data Analysis
- Let's Create a Population Pyramid Plot
- Exploring and Understanding Population Pyramids
- Flask Primer
- Let's Create a Cloud-Based Population Pyramid Web Application
- Conclusion
What you'll learn
- How to explore population pyramids
- Learn how societies develop and evolve
- Build web applications using Python and Flask
- Build bar plots in Python
- Explore demographic data
- Apply data science to understand population growth
Description
Join me for this free Udemy class where we will explore Population Pyramids using Python and finish by building a web application. You will be able to choose a country, a continent, even the whole world, and choose a year, it can the current one, a past one, or even peer into the future and it will build these automatically.
A Population Pyramids is a graph that quantifies males versus females by age segments. As you can see, on the left in light blue are the males and in light red, the females and each row represent an age group.
These graphs are very important because they not only highlight the challenges of a society they can also point to future ones. It is a great planning tool for administrations and businesses to understand current needs and anticipate future problems.
We will build a series of population pyramid plots in Python and a Jupyter notebook and end the class by porting it all to the web into a mobile web application to share your work with the world!
All the code needed is provided in the resource folder.
Happy learning!
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About the instructors
- 4.43 Calificación
- 51696 Estudiantes
- 11 Cursos
Manuel Amunategui
Data Scientist & Quantitative Developer
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 [email protected]
Student feedback
Course Rating
Reviews
Very good to understand how the open data analysis should be done with a graphical chart. Need to have a basic understanding of python, web service, server.
Easy to follow, excellent style and presentation
fantastic
pace and content is a good match for my skill level.
Excelente. Lástima que es un curso introductorio y la enseñanza es algo atropellada por la velocidad conque se desarrolla el curso, que a mi parecer, no da tiempo de asimilar los conocimientos básicos, para ello habría que repetirlo varias veces. Mucha información cubierta en poco tiempo.
Went through two lectures... Very confusing... wasn't able to understand what was taught and in the end gave.