Explore Population Pyramids with Python and Web Applications
- Basic knowledge of Python such as running Jupiter notebooks, pip installing libraries
- Desire to easily create data-driven web apps
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.
Who this course is for:
- Python developers, budding data scientists, entrepreneurs
- The curious who like to roll up their sleeves and find their own answers
- 08:48Downloading Population Data and Quick Exploratory Data Analysis
- 08:39Let's Create a Population Pyramid Plot
- 10:11Exploring and Understanding Population Pyramids
- 16:55Flask Primer
- 12:50Let's Create a Cloud-Based Population Pyramid Web Application
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 firstname.lastname@example.org