Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
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Updated
Feb 11, 2019 - Jupyter Notebook
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
Notebook of DataCamp Projects
Contains notebooks of projects carried out on the DataCamp platform
Data, notebooks, & code for all DataCamp courses as I complete them. Learn R, Python & SQL!
Datacamp Learning Journey
Documenting my progress through courses and projects on DataCamp via jupyter notebooks.
A repo containing all my Data Analysis projects
Challenges Notebooks, Are notebooks from many sources That is solved as study case
Python projects from Datacamp, includes Jupyter notebooks and datasets
My data science portfolio, including Jupyter notebooks and datasets.
Reference blog for notebooks, various studies, book exercises, tutorials, and other platforms.
This is a project created in Jupiter notebook from my learn in Data Science on DataCamp.
This repository contains my notes presented in jupyter notebooks about my journery in the DataCamp course; Improving Your Data Visualizations in Python.
A DataCamp career track-based repository about Data Science with Python. Jupyter Notebook files (.ipynb) demonstrating various Data Science techniques applied on real world data.
DataCamp is a time flexible, online data science learning platform offering tutorials and courses in data science. My notebooks to Datacamp projects.
In this notebook, we analyzed over ten thousand apps from the Google Play Store. We can use our findings to inform our decisions should we ever wish to create an app ourselves.
This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. It includes data analysis, data visualization, and confidence intervals calculation in R. The project is available in Datacamp
This project started after diving deep into the dataset used on datacamp.com for this guided project https://www.datacamp.com/projects/740 Disney Movies and Box Office Success I wanted to dive deep into the original dataset. From here I created the first notebook where I made an analysis of best-selling movies and most prolific directors, but mo…
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