I’m sure you might have thought about getting the Datacamp alternatives once in your life. DataCamp has great instructors, and they make learning online easy peasy. It has a vast library of courses, but there is a major drawback.
But you might want to look for other options because of the pricing. Also, the free account doesn’t give you much – just a sneak peek at the first parts of the classes.
Plus, the regular price starts at $12.42 a month, but you must pay for a whole year! Though there are some Datacamp discounts, you might still feel burdened sometimes.
In this article, I have shared the best Datacamp alternatives and the features of each. Also, see if these courses fit within your budget.
Content Outline
What is DataCamp?
DataCamp is an online interactive programming course platform specifically for data scientists. The course provider has a massive library of data science and technical courses.
These courses include Python, R, and SQL, covering topics like Machine Learning, Data Visualization with Matplotlib, and Data Manipulation with pandas. One thing that makes it worth picking is the course quality. They are nicely put together and follow a structure, which is why customers often give them good reviews.
I have written a complete Datacamp review for better understanding.
But, yes the cost is a concern which is why I have shared this long list of Datacamp alternatives.
8 Best Datacamp Alternatives
Here is a list of my best alternatives to Datacamp:
- Coursera
- Udacity
- Codecademy
- Dataquest
- Udemy
- Pluralsight
- edX
1. Coursera
Coursera has an extensive catalog of over 7000 courses covering various subjects, from psychology to programming.
In comparison, DataCamp focuses on a more limited set of topics. When it comes to data science, Coursera can compete with DataCamp. It offers highly-rated programs like the IBM Data Science Professional Certificate and Google Data Analytics Professional Certificate, similar to DataCamp’s career and skill tracks. Both Coursera and DataCamp offer free content, but there are differences.
Coursera provides complete courses for free, whereas DataCamp offers only the first chapters of its courses without charge. Coursera has various learning formats, and its pricing depends on your chosen program.
If you’re exploring alternatives to DataCamp, Coursera is a strong contender to consider.
Coursera Pricing:
Coursera has a unique pricing structure. Unlike DataCamp, where you pay for a subscription to access all its content, Coursera’s pricing is based on individual courses, and the cost can vary from one course to another.
For businesses and teams looking to use Coursera, they offer special pricing plans to help save on individual course costs. These plans are:
- Team Plan: Priced at $399 per user per year.
- Enterprise Plan: Custom pricing, which means the cost depends on the specific needs and size of the enterprise.
2. Udacity
Udacity provides learning opportunities in Data Science, Data Analysis, Machine Learning, and related subjects within its tech-focused programs. Udacity’s programs are often more intensive and longer in duration compared to DataCamp’s courses.
In terms of subject diversity, Udacity offers a wider range of topics compared to DataCamp, which has a more specific focus on data-related subjects. However, one key difference is the cost.
Udacity Pricing
When it comes to pricing, Udacity offers flexibility in payment options. You can pay as you go every month or opt to pay for four months in advance.
Udacity tends to be pricier, for example, its Data Analyst program costs $1436 for a 4-month duration. But, in return, Udacity offers additional benefits such as technical mentorship and career coaching.
3. Codecademy
Codecademy offers a broader range of courses compared to DataCamp. They cover popular programming languages like Python, JavaScript, and Java, whereas DataCamp primarily focuses on R and Python. DataCamp’s primary focus is on teaching data-related skills. In contrast, Codecademy has no specific focus, making it a versatile choice for learners interested in various programming languages and topics.
Both Codecademy and DataCamp provide various learning options, including shorter courses and longer programs, making it suitable for learners at different levels.
They both offer user-friendly interfaces for coding, making it easy for beginners to get started. In the context of data science, Codecademy’s data science course covers data analysis with Python, R, SQL, and data visualization.
Codecademy Pricing
Codecademy offers a variety of pricing plans to cater to different types of learners and organizations. These plans include:
1. Basic Plan – This is a free option that provides access to basic courses, community support, and limited access to learning on the go. It’s a good choice for beginners and offers about 180 courses. However, it doesn’t include real-world projects, step-by-step guidance, or certificates of completion.
2. Plus Plan – Priced at $14.99 per month when billed annually or $29.99 per month when billed monthly, this plan includes everything in the Basic Plan, plus unlimited access to all courses, real-world projects, step-by-step guidance, quizzes, personalized practice, and certificates of completion. It is a great option for those who want to dive deeper into coding and development.
3. Pro Plan – This plan is available at $19.99 per month with annual billing or $39.99 per month with monthly billing. In addition to all the features of the Plus Plan, it offers career paths and services, interview preparation, code challenges, professional certifications, and assessments.
The Pro Plan is ideal for individuals who are serious about advancing in their coding careers and want comprehensive learning resources, including career services and professional certifications.
4. Dataquest
Dataquest is one of the affordable and comprehensive alternatives to DataCamp, offering similar solutions for data-related learning. Both platforms cover essential subjects for working with data, such as Python, R, and SQL. They share common learning formats, including single courses, career, and skill tracks.
DataCamp offers a more extensive selection of courses, with over 360 compared to Dataquest’s approximately 70. Both platforms provide coding challenges and project-based training to enhance hands-on learning. The interface for coding practice is quite similar between the two platforms, although Dataquest may have more issues with bugs in its interface.
One key similarity between Dataquest and DataCamp is their self-guided learning approach, which allows learners to progress at their own pace. As you advance through the courses, you can build a portfolio by completing data projects.
Another thing worth noticing is Dataquest’s teaching style differs from DataCamp. DataCamp includes instructor video lectures, while Dataquest opts for an interactive approach, where concepts are presented in a hands-on, self-guided format. This could be an important factor for learners who prefer learning through hands-on practice rather than traditional video lectures.
Dataquest Pricing:
Dataquest offers four distinct pricing plans to cater to a variety of learners and teams:
- Free Plan: This plan is free, making it accessible for those who want to explore the platform and its content without any financial commitment.
- Premium Annual Plan: Priced at $33.25 per month, this plan is billed annually. It offers full access to Dataquest’s premium content for a yearly subscription.
- Premium Monthly Plan: This plan is available at $49.00 per month for those who prefer monthly billing. It provides the same premium content as the annual plan but with a monthly payment option.
- Teams Plan: Dataquest also offers custom pricing for teams and organizations. The pricing for this plan is tailored to the specific needs and size of the team, providing a flexible solution for group learning.
These pricing options make Dataquest accessible to many learners, from those on a tight budget to individuals and organizations looking for premium data-related learning resources.
5. Udemy
Among the most sought-after courses on Udemy are Python programming courses, with a staggering enrollment of more than 30 million students. Udemy is another favorite destination for aspiring data scientists, offering a flexible learning experience where students can learn at their own pace.
One of Udemy’s main advantages over DataCamp is the availability of free courses.
Udemy hosts many free data science-related courses, making it accessible to a wide range of learners, including those on a tight budget.
Udemy Pricing
Udemy’s pricing model is course-based rather than subscription-based, meaning you only pay for the specific courses you want to learn. This flexibility ensures learners can choose and pay for courses according to their interests and learning needs rather than committing to a subscription.
6. Pluralsight
Pluralsight is another notable tech-focused e-learning platform that provides a wide range of courses, including programming languages like Java, JavaScript, C, Python, and R. Much like DataCamp, it offers specialized programs, such as those related to Machine Learning and data science. Pluralsight targets businesses aiming to enhance their teams’ skills and deliver improved customer service.
The platform is renowned for offering trending digital skills, with a strong focus on data science, and boasts an extensive library of over 2,500 courses. While only a few free courses are available on Pluralsight, they provide a free trial option for all their courses.
To access their content beyond the trial period, a subscription is required. Pluralsight0 does not include not only Core Python but also courses on interpreting data with R and working with Microsoft Azure.
Its focus on Python and R programming languages makes it a compelling alternative to DataCamp for learners seeking to strengthen their data-related skills.
Pluralsight Pricing:
For individuals, Pluralsight provides two main subscription options:
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Standard Plan: Priced at $29 per month or $299 annually, this plan offers access to over 2,500 courses. It includes core library access, skill, and role IQ assessments, and course discussions, and allows for offline viewing.
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Premium Plan: At $45 USD monthly or $449 USD annually, the Premium plan includes all features of the Standard plan, plus access to an expanded library of over 7,000 courses. Additional features include certification practice exams, interactive courses, projects, and labs.
For teams, Pluralsight has three subscription plans:
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Starter Plan: This plan costs $399 USD per user annually and offers access to the core library of over 2,500 courses. It’s designed for upskilling teams in in-demand technologies and topics.
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Professional Plan: Priced at $579 USD per user per year, the Professional plan provides access to the expanded library of over 7,000 courses, including more advanced content. It also includes powerful analytics and user organization tools.
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Enterprise Plan: At $779 USD per user annually, the Enterprise plan includes all features of the Professional plan, along with additional advanced content, niche topics, and recordings from tech conferences. It offers advanced analytics, role customization, and options for professional services.
7. edX
Founded by professors from prestigious institutions like Harvard and MIT, edX offers courses taught by some of the world’s top-ranked universities and industry-leading companies.
With a rich repository of over 3,000 courses and more than 600,000 active students, edX is an excellent choice for those seeking professional certificates and high-quality education. Among the data science courses offered on edX are “R Basics” and “Machine Learning,” while programs include “IBM Data Science,” “HarvardX Data Science,” and “Python Data Science.”
Given its affiliations with esteemed learning institutions, edX ensures learners can access expert tutors and top-quality educational content. While many of the courses on edX are free to audit, you will need to pay for the programs. Payment for courses typically covers certification or an upgrade to access additional features.
One notable difference between DataCamp and edX is that not all edX courses are self-paced. Learners must enroll in courses and programs before the start date and follow a structured curriculum to progress through the material.
edX Pricing
EdX offers a flexible pricing structure for its premium courses and certifications, with varying costs depending on the specific course. Prices typically range from $50 to $300, ensuring learners can select courses that align with their budgets and educational needs. For teams and organizations, edX provides standard pricing plans:
- For Groups: This plan is priced at $349 per learner per year and designed for groups of learners seeking to access edX’s premium content.
- For Enterprises: EdX offers custom pricing for enterprise-level organizations, tailoring the cost to the specific requirements and size of the enterprise.
FAQs:
👀Can I find specialized courses in Python and R on DataCamp alternatives?
Yes, platforms such as Codecademy and Coursera offer specialized courses in Python, R, and other programming languages, catering to various expertise levels.
❓Do DataCamp alternatives offer certificates upon course completion?
Yes, many alternatives like Coursera and Udemy offer certificates upon completion, which can be added to your professional profile.
👉Can I access project-based learning on platforms other than DataCamp?
Absolutely, platforms such as Codecademy and Coursera offer project-based courses that provide practical experience in data science and analytics.
😶Is there a community aspect in DataCamp alternatives where I can interact with other learners?
Yes, many alternatives like Coursera and Udemy have community forums and discussion boards for learners to interact and collaborate.
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Conclusion: Which is the Best Datacamp Alternative?
In conclusion, when considering alternatives to DataCamp, Coursera emerges as the top choice.
With a vast array of accredited courses and degrees from prestigious universities, Coursera offers a comprehensive learning experience suitable for a wide range of learners.
Its reputation for academic excellence and structured programs make it an excellent platform for those seeking in-depth knowledge and recognized certifications.
