Working with jupyter notebooks to carry out an end-to-end analysis on real-world datasets on dataCamp.
Datacamp is an interactive learning platform that teaches topics related to data science. The engaging and bite sized design of its courses are appealing to beginners and learners looking for active content. Its courses and track programs focus on gaining new skills and career paths. The platform works on monthly or yearly subscription plans which can be canceled at any time.
It’s an online learning platform that focuses on learning data skills at your own pace. Its learning methodology is broken into a 4 part process: Assess, Learn, Practice and Apply, that helps to give learners a well-rounded learning experience.
Its 350+ courses are bite sized and digestible for learners, combining videos with interactive exercises to create an engaging learning experience. Its courses fall into 3 main areas, including learning a new technology, launching your career and mastering a specific skill:
Learn a new technology: By following short videos that are led by expert instructors, and then practice what you have learned with interactive exercises. Its most popular Technology courses include Python, R and SQL.
Career Tracks: A collection of courses that are curated by industry experts to help you grow your data skills and advance your career. Its most popular Career Track courses include Data Analyst, Data Scientist and Data Analyst.
Skill Tracks: Gain specific expertises with learning a skill track, that is a collection, of course, curated by industry experts to grow your data skills. Its most popular Skill Track courses include R Programming, Importing & Cleaning Data and Data Visualization.
Guided and unguided projects.
With either python, R or SQL.
DataCamp projects allow you to apply the skills you have learned in DataCamp courses. In each project, you will carry out an end-to-end analysis on real-world tasks using real-world tools and workflows. In doing so, you will learn how to work with Jupyter notebooks: an open-source web application that is great for interactive data analysis.
On the side, you have a Jupyter notebook, a free, open-source web application that is great for interactive data analysis. A DataCamp project consists of a number of tasks, and here, you have the task instructions. Your first task is easy:
the original type of project where students follow step-by-step tasks to solve real-world problems.
As of Fall 2020, we have introduced a new type of project, Unguided Projects, that caters more to intermediate and advanced learners.
students solve open-ended data science problems without step-by-step tasks. If they get stuck, they can follow a live code-along video to see how our expert instructor finds one of the many possible solutions. You can apply your coding skills to solve open-ended problems without the step-by-step tasks. If you get stuck follow the live code-along videos to see how our expert instructor finds one of the many possible solutions.
Overview of Projects Documentation For detailed information on the project creation process, see the full DataCamp projects article collection. To understand how projects work and what to expect during and after development, here are good articles to start with: DataCamp project Jupyter Notebook format describes how the Jupyter notebook for projects, which is the authoring tool for DataCamp projects, is structured. GitHub repo structure: DataCamp projects describes the file structure of the private GitHub repository where all of the contents of the projects are stored. This repository can only be viewed by DataCamp and the project's instructor(s). The project build process from local to DataCamp describes how a project is built from your local environment to a preview on datacamp.com. Installing packages in the requirements files describes how to install packages and their correct versions to ensure your project works on datacamp.com. Writing project tests (Guided and Unguided, R and Python) Soft launch vs hard launch describes the different phases after your project is launched.
