There are 7 repositories under datacamp-course topic.
All the slides, accompanying code and exercises all stored in this repo. 🎈
DataCamp Project Solutions
🍧 DataCamp data-science and machine learning courses
DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python
Repository of DataCamp's "Intermediate R" course.
Datacamp solutions in SQL with DATASET
Machine Learning with Python Track Datacamp
Repository of DataCamp's "Introduction to the Tidyverse" course.
A datacamp downloader based on datacamp-downloader from TRoboto
This repositoray includes all exercises solutions for Tracks, Courses and Projects that I have finished on datacamp
datacamp Data Engineer with Python course. 73 hours/ 19 Courses /2 Skill Assessments
This is about learning data scientist with R 2019 courses in DataCamp. All the answers given written by myself Data Scientist with R track
Hacker stuff no more data camps for you
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
A DataCamp course for the University of Helsinki
Coursera Courses and practice in Python
🏰 Проекты, сделанные на ресурсе DataCamp (Python, R, SQL). Ссылка: https://app.datacamp.com/learn
Repository of DataCamp's "Introduction to R" course.
Python Data Science Notes with DataCamp
Thanks to DataCamp, I have learn data science with their tutorial and coding challenge on R, Python, SQL and more.
Code written during DataCamp courses
Documenting my progress through courses and projects on DataCamp via jupyter notebooks.
DataCamp course excercises
Thanks to DataCamp, you can learn data science with their tutorial and coding challenge on R, Python, SQL and more.
My solutions, notes, and certificates to DataCamp's Data Scientist with Python Career track.
Datacamp Learning Journey
A DataCamp Data Science module for the Social Statistics MOOC at the University of Helsinki, Finland.
It's commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time actually analyzing it. For this reason, it is critical to become familiar with the data cleaning process and all of the tools available to you along the way. This course provides a very basic introduction to cleaning data in R using the tidyr, dplyr, and stringr packages. After taking the course you'll be able to go from raw data to awesome insights as quickly and painlessly as possible!
PREPARE FOR CERTIFICATION // 96 hours .25 Courses .6 Projects .3 Skill Assessments
This repository includes DataCamp Career Tracks for computer science students and python programmers.
This repository contains the answers for datacamp's course "Intermediate Python"
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.