Regression Analysis

Demographic Data Analysis you own this product

This free project is part of the liveProject series Regression for Life Expectancy Analysis
prerequisites
intermediate Python • basics of statistics (regression analysis) • basics of NumPy and pandas
skills learned
reading, cleaning, and merging data with pandas • exploring data for trends and distributions • doing data visualizations with Matplotlib and Seaborn
Monica Guimaraes
1 week · 8-10 hours per week · INTERMEDIATE
filed under
try now

placing your order...

Don't refresh or navigate away from the page.
This free project is part of the liveProject series Regression for Life Expectancy Analysis explore series
Check your email for instructions on accessing Demographic Data Analysis (liveProject)
continue shopping
adding to cart

choose your plan

pro

monthly
annual
$24.99
$249.99
only $20.83 per month
  • share your subscription with one other person
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free eBook every time you renew
  • choose twelve free eBooks per year
  • exclusive 50% discount on all purchases
  • Demographic Data Analysis eBook for free

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free eBook every time you renew
  • choose twelve free eBooks per year
  • exclusive 50% discount on all purchases
  • Demographic Data Analysis eBook for free
Look inside
In this liveProject, you’ll use the Python data ecosystem to explore how demographic data affects American life expectancy. You’ll use pandas and NumPy to clean and merge a newly collected data set Matplotlib, and seaborn to create a variety of plots that showcase the distribution of the data and expose the relationships between the variables.

project author

Monica Guimaraes
Monica Guimaraes has more than fifteen years of experience organizing and teaching undergraduate courses in automata theory, numerical analysis, programming languages, and statistics. Her passion for artificial intelligence goes back to her college years, having done her thesis in automatic-theorem-proving and working later as an AI researcher. She also has extensive experience in software development in corporations.

prerequisites

This liveProject is for confident Python programmers. To begin this liveProject you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Basics of pandas
  • Basics of NumPy
  • Basic Jupyter Notebook
TECHNIQUES
  • Basics of Python data analysis

you will learn

In this liveProject, you’ll learn vital skills for planning and orchestrating a data analysis project. These foundational skills are easy to transfer to almost any data undertaking.

  • Reading, cleaning and merging newly collected data with pandas
  • Exploring data for trends and distributions
  • Building data visualizations with Matplotlib and seaborn

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
RECENTLY VIEWED