Updated · Aug 03, 2022
Best for: Beginner and intermediate-level data professionals
What Is DataCamp?
DataCamp is an online learning platform that promises to help launch your career in various data-related fields. You can learn all the skills you need to become a data analyst, scientist, engineer, and more on this website.
DataCamp is a MOOC platform launched in 2014 by three Belgian data scientists - Jonathan Cornelissen, Martjin Theuwissen, and Dieter De Mesmaeker.The acronym stands for Massive Open Online Courses. These platforms usually provide free or affordable ways for people to enroll and learn various topics through online classes.
“Our mission is to democratize data skills for everyone,” says the company. It aims to bridge the data skills gap that companies face globally.
DataCamp does this by offering 350+ courses for students to choose from. It seems to meet the grade with over 9 million enrollees from 180+ countries and largely positive Datacamp user reviews.
The platform assists users in grasping the essential skills they need to become data professionals. And what’s convenient, it’s all from the comfort of their homes with highly flexible schedules. In addition, it comes with a range of tools and resources to support the online education process.
DataCamp is primarily a video-based platform. You can work with the native code editor, study text resources, and carry out assignments and projects with the videos. As such, it is an interactive experience.
What Courses Does DataCamp Offer?
When writing this DataCamp review, the platform had 354 courses available. The video lectures are bite-sized, making them easy to digest.
All courses fall under two learning structures - Career Tracks and Skills Tracks.
Many career paths fall under the data umbrella. And while many of these share certain similarities, they are each largely distinct.
DataCamp’s Career Tracks are extensive collections of banded courses (12 to 30) that lead towards attaining a related big data career.
Tracks available include:
- Python Programmer
- R Programmer
- Data - Analyst, Scientist, Engineer
- Quantitative Analyst
- Machine Learning Scientist
You can choose what technologies you wish to learn for each of these. The Datacamp options are Power BI, R, Python, and SQL Server.
Data Analyst and Scientist are the most popular DataCamp tracks. Machine Learning is also trending.
It is not enough to pick a career path - you must also learn relevant technical skills to keep ahead. DataCamp has this in mind and offers dozens of skill sets curated by industry experts.
Available topics include:
- Data - Visualization, Manipulation
- Importing & Cleaning Data
- Applied Finance
- Text Mining
- Network Analysis
- Natural Language Processing
- Big Data
- Image Processing
- Market Analysis
As with the Career Tracks, the subjects include supporting course material, albeit abridged. Each topic comes with between three to seven classes. They fall into different technology categories to make it easier to browse.
Getting down to the basics, you have DataCamp courses. While you receive benefits when following a Career or Skills Track, this is not always necessary, especially if you already have some experience.
Instead, you can simply pick a class and just get to it. The duration of each is between two to five hours long.
Best DataCamp courses
With such an extensive library, deciding which classes are best can be challenging. However, I compiled some of its top performers.
Machine Learning for Everyone
This subset of AI focuses on enabling systems to learn without explicit programming. If you are interested in this increasingly popular field, there aren’t many other courses on par with Datacamp’s to help test the waters.
The introductory Datacamp machine learning course shuns all things technical. There is no programming involved here. Instead, it focuses on unpacking the essentials of this exciting technology.
You can expect to become familiar with field-specific jargon, learn about algorithms, and explore the subset subject matter, Deep Learning. This course is relatively short, only taking two hours.
Introduction to Tableau
Tableau enjoys a high rank among the top data visualization software in the BI industry. Many corporations, including Amazon and Unilever, use this tool to analyze their data and extract valuable insights for decision-making.
The DataCamp Tableau introductory course will grant you a fundamental understanding of the tool within six hours. It covers the basic concepts before moving on to more complex areas like organizing data with filters and geovisualization. By completing the course, you will have built your first dashboard.
Data Analysis in Excel
Microsoft Excel is an often underrated software, and few people appreciate just how powerful it is. And even fewer can claim anything approaching mastery of it. Many companies and institutions globally employ this software to help glean valuable insights from raw info.
With the DataCamp Excel course, you can boost your analytic skills using real-world data, picking up handy shortcuts and functions. It’s broken down into three parts - Exploring, Preparing, and Analyzing Data. Nearly 100,000 students have taken this course.
What are the courses like?
To begin with, students will find DataCamp lessons easy to follow. This is a significant plus, as many MOOC platforms pack on hours of technical content that often push beginners away. Instead, each course comes in smaller chunks, making it easier for learners to work through.
That’s just one facet of how beginner-friendly it is. The platform also simplifies the content, at least in the introductory stages. Many fundamental classes do not have any code at all, easing the learning curve for newbies. Instructors expertly introduce more challenging concepts as the courses progress.
The lessons are self-paced, making them flexible for learners with other commitments.
Furthermore, there are many interactive exercises to stimulate learning and retention. Activities come in multi-choice or drag-and-drop task completion formats. Throw in practices, quizzes, and Datacamp projects, and users will participate in an effective learning process.
And while learning on DataCamp has benefits, there are also cons to watch out for. For one, the platform does not offer a certificate for many courses or skills. Unless you enroll in the Data Science track, you get a DataCamp statement of accomplishment instead.
This is a massive let-down, as you can receive verifiable certificates on most other MOOC platforms like Udemy and Coursera.
Additionally, DataCamp may be friendly to newbies, but more advanced students may find the courses too elementary. The platform is excellent for laying the groundwork for rookie professionals. However, to attain expert levels, you may have to look elsewhere.
Free DataCamp courses
Let’s review three of the popular six free DataCamp courses.
Introduction to SQL
SQL is a high-demand tech skill, with 1.3 million course participants as an indication. The Datacamp SQL Introduction class allows you to learn about relational directories and how to communicate with them.
The course covers the standard syntax used in many databases, like MySQL, PostgreSQL, and SQL Server. You will learn SQL commands, comparison and combine operators, aggregate functions, sorting, grouping, and more. Introduction to SQL is a four-hour course and comes with 40+ exercises.
Data Science for Everyone
If you think data science is highly technical, you are not wrong. While employment in this field requires soft skills, you cannot have a rewarding career without acquiring solid technical skills. That said, many online courses’ approaches are wrong by diving straight into coding and statistics.
The DataCamp Data Science for Everyone curriculum takes a different approach. There’s absolutely no code involved in this two-hour course. Instead, it focuses on the roles of data scientists, insights, and foundational topics to give you a base to build on. At the end of this course, you should know whether or not to pursue data science.
Introduction to Python
Python is the most widely-used programming language for data processing. It is an open-source language with widespread applications, including programming IoT apps and building web applications.
The DataCamp Python course covers the language’s fundamentals while focusing on its data analysis/science perspective. It teaches how to store and analyze statistics as well as the use of related tools and packages.
Introduction to Python is a four-hour course that contains 11 videos and more than 50 exercises. So far, over four million learners have participated.
Who Are the Instructors?
DataCamp has a network of over 270 instructors. Each is a verified subject matter expert. And unlike some other MOOC platforms, DataCamp works with its instructors to develop its courses.
With a reach of over 9 million students across 180 countries, platform instructors certainly have a broad base. But some stand out in terms of popularity.
For example, Data Scientist Hugo Bowne-Anderson has six million+ learners. He teaches Introduction to Python and six other courses. The second most popular instructor, Jonathan Cornelissen, is way behind, with 2,258,000 class attendees. Cornelissen is also a co-founder of DataCamp and handles Introduction to R.
You can analyze data, collaborate with others, and share your insights using Workspace. Modeled after a JupyterLab interface, it allows users to run queries, explore data, visualize, and share analysis.
Many DataCamp user reviews agree that the platform got it right with Workspace. With no installation required, you can perform all queries and tests on the platform.
You don’t need to import your stats for training purposes, either. It has large datasets that you can access to practice within minutes. There are tons to choose from, including Olympics, e-commerce, and world population stats.
Workspace also provides time-saving templates that relieve you from having to write repetitive code. If you are familiar with Google Docs, then you may have an idea of how collaboration works on this feature. You can edit, comment, and share your stats and analysis with a few clicks - even to recruiters.
Does the DataCamp Certificate Have Any Value?
Until recently, this platform offered no certificates. If you completed a course on the platform, you received a statement of accomplishment, which serves as an acknowledgment without any accreditation.
However, DataCamp recently introduced certifications for people seeking careers in Data Science.
DataCamp Certifications test the top technical skills that companies and recruiters look for when hiring data scientists.
To get the certification, you must:
- Complete three timed assessments
- Complete a coding challenge
- Carry out a case study
When you have completed all the steps, you will unlock a DataCamp Certificate. You can download this and attach it to your Linkedin profile or add it to your resume.
But does it add any real value to your credentials? To an extent, it does. After all, DataCamp is a globally recognized platform for learning Data Science and other related topics.
But the issued statements do not show that you are an expert in your field. They compare unfavorably to a Master’s degree or even a nanodegree from Udacity. However, they do illustrate your efforts to develop your skills, which can be quite valuable.
There are also other factors to consider. For instance, completing a Career Track will invariably hold more weight than a single course as it takes more time, effort, and expense.
Completing the projects will also add valuable real-world experience.
Can a DataCamp certificate help you with your career?
Yes, it can.
For several years, data science has snagged a position as one of the fastest-growing and in-demand job markets. According to the U.S Bureau of Statistics, expected employment growth in this field between 2020 and 2030 will reach 31.4%.
With DataCamp certifications, you can prove that you have obtained skills in a related professional field.
However, it is essential to note that earning a certificate or statement of accomplishment is not enough. Because data-related roles are technical, recruiters often want to ensure that you are qualified by testing your abilities. Most often, how you fare in these situations is more important than any certificate you can present.
DataCamp offers a range of plans.
Grants individuals access to six Data Science, Engineering, and Machine Learning courses. Users also receive access to the first chapter of each class.
Starts at $12.42 per user/month, billed annually
It provides single users full access to DataCamp’s content library, projects, and certificates.
$25 per user/month, billed annually
Offering the best value for two or more users. You get license management tools, group management capabilities, progress tracking, and Premium capabilities.
Verdict - Is DataCamp Worth It?
Yes, DataCamp is worth it. If you are starting out in Data Science or any related field, this learning platform has what it takes to build a solid foundation. It provides numerous features and resources that can make it worthwhile, such as Workspace collaboration, projects, and certification.
However, if you are above the intermediate level, then DataCamp may not be a good fit. And even if you are at such a level, with its six free courses, why not test your knowledge against Datacamp’s informative instructors.
Is DataCamp free?
There are four standard DataCamp subscription tiers, including the limited Free plan. Users of this deal receive access to only six of DataCamp’s 350+ courses. Additionally, you receive access to the first chapter of each course.
Does DataCamp offer certificates?
Yes, it offers certificates if you follow a Data Science track. However, it is not automatic, and you must apply. At the end of each course, all participants receive a statement of accomplishment.
Is the DataCamp certificate valid?
Yes, DataCamp’s certificate is valid. It provides evidence of relevant skills learning that can support your job search.
How to add a DataCamp certificate to LinkedIn?
Follow these steps to add your Data Science certificate or statement of accomplishment to LinkedIn:
- Copy the document’s URL
- On your LinkedIn account, navigate to your profile page
- In the Introduction section, click Add profile section.
- Click Recommended and select Add licenses & certifications from the dropdown menu.
- Complete the necessary fields with the required details. Your credential ID is the string of letters and numbers attached to the URL.
- Click Save to complete.
Are DataCamp courses worth it?
DataCamp courses are worth it if you are at a beginner or intermediate level in a data-related field. If more advanced, you may find the classes less challenging or impactful.
Is it worth taking a DataCamp subscription?
The free plan allows you to study six courses without fees. You also receive access to the first chapters of each class from its 350+ program catalog as teasers. Read this DataCamp review to learn more about them and available certification opportunities.
Daniel is an Economics grad who fell in love with tech. His love for books and reading pushed him into picking up the pen - and keyboard. Also a data analyst, he's taking that leap into data science and machine learning. When not writing or studying, chances are that you'll catch him watching football or face-deep in an epic fantasy novel.
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