Project

Data Analysis for Hospitals

Hard

544 completions

~ 24 hours

4.6

Conduct a comprehensive data study using the pandas library: from uploading data and correcting errors in the CSV files to simple data visualization.

Provided by

JetBrains Academy

About

You know the story. Data is everywhere: texts, images, news, and spreadsheets. It affects our habits and defines our future. The amount of data is growing by the second. How can one stay afloat in this great sea of data? Data analysis is required in any line of business. In this project, you will conduct a comprehensive study with pandas. You will upload datasets, deal with data omissions and incorrect data filling, find the main statistical characteristics, and visualize your data. Let's do it!

Graduate project

This project covers the core topics of the Introduction to Data Science course, making it sufficiently challenging to be a proud addition to your portfolio.

At least one graduate project is required to complete the course.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:

Load data from CSV files to your program.

Make a single dataset from several CSV files.

Your dataset may be inconsistent and contain mistakes, it's time to improve it!

Use pandas statistics tools to gain insights from data.

Use pandas visualization tools to present your data succinctly.

Reviews

Krzysztof Kopel

4 months ago

3.7

I have learned how to use Pandas and Matplotlib for statistical analysis.

Mamadou Traore

9 months ago

5.0

if i tell you how fun it is you will not enjoy too much, just try it.

EVGENII MORGUNOV

9 months ago

5.0

I have learned how to conduct a comprehensive data analysis using the pandas library. This project helped me understand how to load data from CSV files, handle missing values, and correct errors in the data. I also gained experience in visualizing data using matplotlib. One of the main challenges I ...

4.6

Learners who completed this project within the Introduction to Data Science course rated it as follows:

Usefulness

4.8

Fun

4.4

Clarity

4.5