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Are you interested in coding, data science, AI, and machine learning? Well, if you are in this article because you have heard something about Datacamp, we will tell you everything you should know.
Datacamp is an online learning platform designed to help students interact to build their programming skills, data science, and analytics with interactive courses and tutorials.
With a program of 350+ courses in more than 10 different technologies, they offer classes with ultimate experiences, including data skill assessments, track of progress, personalized recommendations, interactive courses, and experts as teachers.
In Datacamp, you can find courses focused on:
And more…
Datacamp was founded in 2013 by Jonathan Coernelissen, Martijn Theuwissen, and Dieter De Mesmaeker to democratize data skills, reaching companies, teams, and individuals with the skill they need to work with data in the real world.
The platform now has over 780.000 subscriptions, including more than 2.500 companies and 3.000 academic organizations from approximately 180 countries.
| Pros | Cons |
| ✓ Interactive learning experience ✓ Practical approach ✓ Comprehensive course catalog ✓ Skill tracks and learning paths ✓ Quality content and instructors ✓ Flexibility and self-paced learning ✓ Learning Community ✓ Career Advancement | − Limited depth and specialization − Lack of real-time interaction − Limited hands-on projects − Reliance on DataCamp’s coding interface − Subscription-based pricing model − Dependency on DataCamp platform |
This platform is for people interested in acquiring or enhancing their data science and analytics skills, but apart from that, Datacamp can be for an extensive range of people.
Let's see:
| Courses | Instructor | Learners |
| Introduction to Python | Hugo Bowne-Anderson | 4.883.622 |
| Introduction to R | Jonathan Conelissen | 2.501.372 |
| Intermediate Python | Hugo Bowne-Anderson | 951.266 |
| Data Manipulation with Pandas | Maggie Matsui, Richi Cotton | 285.171 |
| Data Visualization with ggplot2 | Rick Scavetta | 37.113 |
What you will learn: In this course, you will learn the basics of Python, understanding the standard functions and applications, like the calculator, to variables, types, and lists.
What you will learn: You will learn the skills and knowledge acquired from this training program and be able to independently perform your own analysis using the R software platform efficiently.
What you will learn: In This intermediate-level course, you'll gain the expertise to visualize actual data using Matplotlib's functions and become familiar with data structures like dictionaries and pandas DataFrames.
What you will learn: you'll discover the reasons behind pandas' status as the most widely used Python library globally, serving various purposes ranging from data manipulation to data analysis.
What you will learn: You'll learn how to calculate statistics dynamically within your plots and discover how using Coordinates and Facets can enhance the clarity and effectiveness of your visual communication.
The platform offers a lot of options in the data topic, so when you are ready to choose from all those options, you will get a complete program of the course, for example, here:
And then, you will get to choose from all the Paths that the program has to offer you:
So you can choose what is better for you and your actual knowledge.
For every Path, you will get classes of 4 or 6 hours until you complete the entire section.
After you have finished the course, you will unlock the Practice Mode; this outstanding feature is designed to let you practice building data sets, templates, and more.
The great thing about this is that everyone can use it; if you are a beginner, the program will adapt to you and help you write your first lines of code. If you have more knowledge, you can expect more complex exercises.
Let me show you some examples of the spreadsheet you will get:
Practice Mode includes daily challenges while building data sets and templates. Also, this is what you can expect from it:
DataCamp instructors are passionate about their areas of expertise and have practical, hands-on experience in data science, programming, data analysis, machine learning, and related fields.
Every instructor and course is reviewed and approved by DataCamp's teams to make sure you have the best experience; here is the list of the instructors of the best practices in the platform.
Monthly subscription:
For $12.42, you can get the following:
You can get Free Access, but only to the first chapter, and no certificates.
Teams:
For $12.42 monthly, you can get:
Enterprise:
If you are interested in having groups of more people, we suggest contacting the sales team for the pricing and a request for the Demo. With this option, you can get:
Premium: For $16.59 monthly, you can get the following:
You can get started with the Free option, too, but with only 3 workspaces and a 30-minute inactive timeout.
If you are looking for a place to find, hire and scale your data teams, this is the place.
Pro: This option is for companies with 4 people. For $249 monthly, you can get the following:
Starter: This option is for Companies that still need to know their needs. With this option, you can get:
DataCamp looks to build the world's best platform of data skills online, and if you have the knowledge to do that, they have places for you to join their team.
To join as an instructor in DataCamp, you can follow these general steps:
If you want to know more, check their website or contact DataCamp for more accurate information and instructor opportunities.
The cost depends on your subscription; it can go from $12.99 to $249 or more.
DataCamp primarily operates as an online platform, so an internet connection is required to access and complete the courses. Offline access is not available by default.
Yes, DataCamp provides certificates of completion for each course that learners successfully finish. These certificates can be shared on professional networks and resumes.
Yes, you can cancel your DataCamp subscription at any time. However, course access will end when the subscription is canceled or expires.
DataCamp offers a free trial period to new users. The free trial typically allows users to explore a limited selection of courses and access a subset of the platform's features.
Coursera offers a broader selection of courses from different subjects and institutions, with more flexibility in enrollment and certification options.
Udacity offers career-oriented courses and nanodegree programs emphasizing real-world projects and flexible learning options.
edX offers courses from prestigious institutions on a broader range of subjects, including data science, with free and paid options and opportunities to earn certificates or pursue more in-depth programs.
Codecademy offers coding courses across multiple languages, including data science, focusing on interactive coding exercises and a broader range of programming skills.
DataCamp is ideal for individuals seeking to enhance their data science skills. It offers interactive courses to build practical skills applicable to real-world data analysis and problem-solving.
With structured learning paths, learners are guided through the curriculum while being part of an active community that provides feedback and support. Additionally, DataCamp's flexible subscription options make it an affordable choice.
