In 1847 the Hungarian physician Ignaz Semmelweis makes a breakthough discovery: He discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.In this python project we will reanalyze the medical data Semmelweis collecte
Project Link: https://www.datacamp.com/projects/20
The Rebrickable database includes data on every LEGO set that ever been sold; the names of the sets, what bricks they contain, what color the bricks are, etc. It might be small bricks, but this is big data! In this project, you will get to explore the Rebrickable database
Project Link: https://www.datacamp.com/projects/10
To better understand the growth and impact of Bitcoin and other cryptocurrencies you will, in this project, explore the market capitalization of different cryptocurrencies.
Project Link: https://www.datacamp.com/projects/82
Version control repositories like CVS, Subversion or Git store rich evolution information about a software project. In this project, you'll be challenged to read in, clean up and visualize a real world Git repository dataset of the Linux kernel. With almost 700k commits and thousands of contributors (find out the exact number in this project ;-) ) there are some little data cleaning and wrangling challenges that you'll encounter. But you'll also gain insights about the development activities over the last 13 years.
Project Link:https://www.datacamp.com/projects/111
There's a new era of data analysis in baseball. Using a new technology called Statcast, Major League Baseball is now collecting the precise location and movements of its baseballs and players. In this project, you will use Statcast data to compare the home runs of two of baseball's brightest (and largest) stars, Aaron Judge (6'7") and Giancarlo Stanton (6'6"), both of whom now play for the New York Yankees.
Project Link: https://www.datacamp.com/projects/250
Using data collected from the State of Iowa, you will apply the data wrangling and visualization skills you learned in pandas Foundations and Manipulating DataFrames with pandas.
You will group, summarize, and visualize data on breath alcohol tests in Ames, Iowa, (home of Iowa State University) from 2013-2017. Some questions you will answer include, "What is the highest recorded value?" and "When do breath alcohol tests occur most?"
Project Link : https://www.datacamp.com/projects/475
Open source projects contain entire development histories - who made changes, the changes themselves, and code reviews. In this project, you'll be challenged to read in, clean up, and visualize the real-world project repository of Scala that spans data from a version control system (Git) as well as a project hosting site (GitHub). With almost 30,000 commits and a history spanning over ten years, Scala is a mature language. You will find out who has had the most influence on its development and who are the experts.
The dataset includes the project history of Scala retrieved from Git and GitHub as a set of CSV files.
Project Link :https://www.datacamp.com/projects/163
Can a machine distinguish between a honey bee and a bumble bee? Being able to identify bee species from images, while challenging, would allow researchers to more quickly and effectively collect field data. In this Project, you will use the Python image library Pillow to load and manipulate image data. You'll learn common transformations of images and how to build them into a pipeline.
Project Link: https://www.datacamp.com/projects/374