DataCamp – What’s the Hype About?

‍Statistical analysis and data exploration are two of the most important skills for any data scientist or data analyst to have. There are many tools out there that make it easy to analyze your data, but few of them also make it simple to explore your data and find patterns.

With the rise of data science as a job title, there has been a surge in the number of online tools available for analyzing and visualizing datasets. Many of these tools cater specifically to the panda’s library, which means they’re all centered around exploring tabular datasets.

While they offer some great functionality, they are not always well-suited for visualizing and exploring datasets at a high level. As an alternative we would like to introduce you to DataCamp – what’s the hype about?

What is DataCamp?

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DataCamp is an online platform that helps learners become data scientists through interactive coding challenges and courses. The platform aims to make learning data science accessible to everyone, regardless of their background or experience level.

Like many other online platforms, DataCamp uses a self-directed learning model. That means you can access the platform whenever you want, and progress through the content at your own pace.

DataCamp features a wide range of content, including video tutorials, interactive coding challenges, quizzes and a blog. The wide variety of content gives you plenty of different ways to approach your learning.

Why use DataCamp?

There are several reasons why you might choose DataCamp.

  • DataCamp is perfect for beginners who want to make sure they’re learning the right skills. The platform’s content is designed to introduce you to the key concepts in data science.
  • The interactive coding challenges are great for practicing what you learn. The challenges walk you through the process of completing a real-world data science task, which makes sure you really understand the concepts behind data analysis.
  • DataCamp’s course library is regularly updated with new content. The platform aims to keep you engaged by regularly introducing new topics, so you don’t get bored by doing the same thing for too long.

How does it work?

When you create an account on DataCamp you will start by taking a few data exploration quizzes. This will help DataCamp recommend personalized learning paths based on your skill level. After that, you can choose any course you like, or you can follow one of the recommended paths. The courses are organized into different segments, each covering a different topic.

For example, the Python programming fundamentals course is divided into five segments: Introduction to Python, Data types and variables, Conditions and loops, Functions and Python applications. The course structure makes it easy to learn at your own pace. You can choose to go through one segment per day, or you can take a few segments at a time and then take a break.

What does a DataCamp lesson look like?

Let’s take a look at a typical DataCamp lesson. The Python programming fundamentals course is broken down into five segments. Introduction to Python :-

  • The first segment introduces you to Python, the programming language used in DataCamp’s lessons. You’ll learn about the syntax and structure of Python, and how to use it to store data. There is also an introduction to Jupyter Notebooks, which are used for interactive programming. Data types and variables
  • The second segment covers data types and variables. You’ll learn about the different types of variables you can use, and how they’re used in programming. You’ll also learn more about the concept of storing data. Conditions and loops.
  • The third segment covers conditions and loops. You’ll learn about the different types of conditional statements you can use, like if-else and while loops. Functions
  • The fourth segment covers functions. You’ll learn about the different types of functions and the best ways to write them. Python applications
  • The final segment of the course covers Python applications. You’ll learn about the different ways to use Python to solve problems, and you’ll be introduced to some of the most common applications.


DataCamp is an online platform that is a great tool for beginners who want to learn the skills required for data science. The platform’s interactive quizzes are a great way to start learning, and the course library is full of helpful content. What’s more, a single account gives you access to the entire platform. So once you sign up, you’ll have unrestricted access to all of DataCamp’s content. That’s what the hype is about with DataCamp – it’s a great platform for learning data science skills.

Whether you’re a beginner or an expert, DataCamp makes it easy to progress through your learning by giving you a variety of ways to approach your content.

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