Are you excited to learn new tech skills but can't find the best online platform to start?
Read this blog to get all the essential facts about two popular e-learning platforms: DataCamp and Educative.
We want you to make an educated decision and kick-start your learning journey as soon as possible, so we have researched for you to find the best DataCamp alternative.
Let’s start with a condensed breakdown of the two platforms.
Interested in learning data science?
Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful. This hands-on introductory Data Science course is aimed at professionals and students who don't have any experience with programming. It will help you advance your career by preparing you to conduct meaningful data analysis in Python on any dataset — large or small. You’ll begin with the fundamentals of Python, with focus on CSV files in Python, covering concepts like data preprocessing and Exploratory Data Analysis (EDA). In the second half, you'll focus on predictive and inferential analysis using statistical and machine learning techniques, and learn how these techniques can help solve business problems.
Title | Strengths | Downsides |
DataCamp |
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Educative |
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DataCamp is an online learning platform focused on data science education.
The deep catalog of more than 400 courses covers the following topics:
Python
SQL
Scala
Data manipulation
Data visualization
Machine learning
Business intelligence.
The DataCamp platform makes data science education and data skills development accessible for companies and individuals. Learners from all backgrounds and skill levels can level up their skills.
For enterprises, DataCamp offers non-coding essentials, as well. These include several plans for the upskilling of teams, enabling them to make better data-driven decisions:
More than 260 expert data science and analytics instructors have tailored the curricula.
The instruction format of the self-paced courses is video-based, offering bite-sized content.
The leaderboards, badges, and streaks keep you motivated and competitive. (DataCamp's gamified interface is one of its popular features).
Skill Tracks offer more time-intensive and well-rounded learning about various IT areas.
Career Tracks focus on the career development of IT professionals like data analysts and data scientists.
If you want to share knowledge or ask questions, there is a large community of active users to engage with.
That said, DataCamp courses are only focused on data science, limiting your options of topics when you subscribe.
Educative.io is an e-learning platform that provides interactive coding courses and tutorials. It was founded in 2015 to help developers and software engineers learn in-demand skills and level up their careers.
The extensive library of over 700 tech skills courses covers various subjects, including programming skills, emerging technologies, and interview prep. Some of these topics are:
Python
Javascript
Java
Blockchain
Cloud computing
Mobile app development
Elixir
React
Go
C++
Angular
Django
Data Science
Web Development
FAANG Interview Prep
What do learners enjoy most about using Educative for skill development? Educative courses are all text-based for faster consumption and offer an immersive in-browser coding experience. This format helps you understand and retain more information than long, dense videos where there is no ability to practice your skills in real-time as you go.
Without the need for any additional setup or downloads, you can access the interactive playgrounds, quizzes, and interactive graphs all right in your browser window.
Educative is best known for its Coding Interview Prep resources, ranging from FAANG coding interview prep to System Design and API Design. Educative differs from DataCamp because it helps you learn the fundamental patterns behind common questions rather than drilling endless practice sets by learning the essential coding patterns.
Improve your coding skills and gain practical experience with beginner, intermediate, and advanced courses.
More in-depth Skill Paths are offered so you can learn a specific language or become an expert in a specific IT field. Besides this, there are Personalized Paths to fulfill your individual needs.
CloudLabs is a hassle-free resource for learners. They can interact with cloud services without payment, setup, or cleanup.
Skill Assessments allow you to gain useful insights into your coding weaknesses and strengths.
You can learn by building real-world Projects without any production setup. These technical projects are an excellent way to build your portfolio.
Both DataCamp and Educative are reputable resources with unique strengths. Still, we understand the importance of making an informed decision before a financial commitment. So here is the condensed comparison of both online learning platforms.
DataCamp | Educative | |
What niche do they cater to? | Data Science and Business Intelligence | Programming Languages, Cloud Computing, Data Science, Web Development, Interview Prep, and more |
What is the course format? | Video-based | Text-based and interactive |
Does it provide real-time coding feedback? | Yes | Yes |
Does it offer interview preparation courses? | No | Yes |
Do they offer workspaces for private data projects? | Yes | No |
Does it offer courses at all skill levels? | Yes | Yes |
Is the course content downloadable | Yes | No |
Does it have a mobile app? | Yes | No |
Can I experiment with cloud services on the platform? | No | Yes |
What platforms does it support? | SaaS/Web | SaaS/Web |
Does it provide an active community forum? | Yes | No |
Does it have a recruitment platform to hire and apply for data science jobs? | Yes | No |
Do they offer a course completion certificate? | Yes | Yes |
How does pricing compare? | DataCamp Pricing Monthly subscription: $29/monthYearly subscription: $9.11/monthTeam subscription per user, billed annually: $149.04 | Educative Pricing Monthly subscription: $59/monthYearly subscription (Standard): $16.99/monthTwo-year subscription: $14.99/month Team subscription per user, billed annually: $299 |
Is there a student discount? | Yes | Yes |
There are several important factors to consider when choosing an online learning platform. The most important thing is to evaluate the breadth and depth of the course offerings. Does the platform thoroughly cover the subject you are aiming to study?
When you find what you are looking for, see if your learning style aligns with their mode of instruction. The courses should also be flexible to match your learning pace. To gain practical knowledge of the course content, you need to be able to practice by doing.
Before you subscribe, you should weigh the value of the subscription against its price. Here are some tips to help you make the decision:
Text is easier to retain compared to videos: Educative offers text-based learning content for all its courses. This is good for developers because they can control their learning pace. It is also effective for non-native English speakers.
Interactive code widgets help you learn and practice your skills in real time: The additional illustrations, projects, quizzes, and coding playgrounds in Educative courses are extremely helpful. Learners gain confidence by applying their knowledge.
Consider the range of courses you will be able to access: DataCamp features a deep catalog of data science education content, whereas Educative offers a comprehensive catalog of tech skills, encompassing data science, as well as programming skills, interview prep, cloud, APIs and more.
Your specific learning needs will decide which website is a better investment for you. DataCamp is an excellent choice for people who want to become a data pro. However, an Educative subscription will give you access to many programming, interview prep, and data science courses and is excellent for any well-rounded developer or new learner.
Remember to read reviews and research when searching for a DataCamp alternative.
Here are some frequently asked questions that learners are curious about.
The standard monthly subscription of $29/month will give you unlimited access to the 430+ courses. Team subscription per user, billed annually, is $149.04. The courses include data engineering, AI, machine learning, Python, SQL, Tableau, Power BI, R, and other programming courses. Upon completion of the courses, you will also receive a certificate.
Educative is a very good option for interview prep, as well as for teams that need to upskill. Trusted by employees from major companies like Amazon and Google, Educative boasts over 2M learners. The Educative annual subscription will give you unlimited access to the entire course library of over 700 courses, projects, and assessments — with new content added every week. You don’t need to download additional resources or do any setup, as the platform features a built-in coding environment that you can access right in your browser.
DataCamp certificate is worth it if you are interested in data science and data engineering. With DataCamp courses, you can upskill with courses or projects. These will help you build your portfolio to excel in your career. However, their certificates do not have formal credentials. Educative also offers certificates when learners complete a course.
Learn data science interactively
Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. No need to waste hours and hours on browsing from one article to the next and piecing together the info you need to grasp important topics. No need to get overwhelmed by the information overload. Find easy to follow, hands-on, and fun explanations of all the essential topics in one place so you can quickly and efficiently learn what you need to thrive as a data scientist. "Is this course right for me?" Continue to read to decide for yourself! - "I want to understand this data science concept. Let me Google it". Then after hours of surfing, reading random articles, and invoking the heavens, you are more confused than before. - "Data science is the sexiest and highest paying job of the 21st century. I want to become a data scientist too". - "I have a basic knowledge of Python, willingness to learn, and commitment to become a great data scientist." Is that you? If yes, you are at the right place.
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