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Codecademy vs DataCamp: Prices, topics, and details

Hi, I’m Olga! I have years of experience in data science, most recently at eBay. Now, I work as an industry mentor at Pathrise, where I help data scientists land great roles through technical workshops and 1-on-1s. Check out my article where I compare Codecademy vs DataCamp.

Similarities and differences between Codecademy and DataCamp

Codecademy and DataCamp both offer courses in data science, machine learning, and data visualization.

Similarities

  • Both programs are remote and self-paced.
  • Their curricula are hands-on, with lots of assignments, projects, and quizzes.
  • In addition, courses are open to anyone with no formal admissions process.
  • Low-cost monthly subscriptions for greater course access is available.

Differences

  • Codecademy offers a wider variety of tech topics, including web development, software engineering, and more.
  • DataCamp only covers data science, but this allows them to go more in-depth into specific data subjects.
  • Codecademy hosts full courses for free. But, DataCamp only offers the first chapter of their courses free, similar to a free trial.
  • DataCamp’s premium subscription gives students live coding demos, community chats, and greater support. Codecademy is completely self-guided.
Photo of Codecademy vs DataCamp

Topics offered by Codecademy and DataCamp

Both Codecademy and DataCamp offer courses that cover the following topics and many more:

  • Data science
  • Machine learning
  • Data visualization
  • Python, R, SQL, Tableau

Codecademy also covers 12+ programming languages and other tech topics, including: 

  • Web development
  • HTML, CSS, JavaScript
  • Software engineering 
  • Java, Bash/Shell, Ruby, C++, R, C#
  • PHP, Go, Swift, Kotlin
  • Computer science
  • Game development
  • Mobile development

Prices for Codecademy and DataCamp

DataCamp only offers the beginning chapters of their intro courses for free, which includes 3 free challenge sets, and 1 free skill assessment. To get full access, users choose between a paid standard or premium subscription. The standard plan is usually $25 per month and the premium is $33.25 per month, but they often offer 60+% discounts that lower the premium membership to only $12.42 per month. The standard plan comes with 335+ full courses, live code-alongs, 14 career tracks, 50+ skills tracks, mobile practice, access to the student community, plus unlimited assessments and challenges. Meanwhile, the premium package includes everything in the standard as well as 80+ projects, Tableau instruction, Power BI learning, Oracle content, and priority support.

Codecademy’s free plan offers much more content including full beginner courses and a few intermediate courses. However, full access to their content requires a membership. The membership starts at $40 per month or $20 per month when billed yearly. In addition to more coding content, this paid “Pro” plan comes with unlimited mobile practice, real-world projects, step-by-step guidance, and even some limited opportunities for peer collaboration. 

Ratings and reviews of Codecademy and DataCamp

Reviews for DataCamp are mainly positive. They are listed as one of the best bootcamps of 2021 on Switchup. In fact, the program holds 4.59/5 stars on that site. While users liked the hands-on learning and in-depth data tracks, some found it “extremely hard to learn and extract code to keep” for portfolio projects and reference. A few users suggested people could use DataCamp to learn key concepts and data fundamentals, but work on their own open-source data projects for their portfolio, instead of sticking to DataCamp’s projects. 

In addition, some reviewers were annoyed that a lot of the work is done for users on assignments and projects. They didn’t like that much of the code is already written with giant walls of text explaining how it runs, detracting from what could be a more realistic hands-on experience with trial and error. However, overall users were very satisfied with the comprehensive data science courses available at a very low price.

Codecademy holds mostly positive reviews as well. In addition, their program is extremely popular. Users on Quora praised the hands-on projects, assignments, and assessments. They also appreciated that whole courses could be taken for free with no limitations or annoying paywalls. The program only holds 3.24/5 stars on Switchup, where a few users noticed errors in the curriculum and assignments. However, on the whole, users were very satisfied with Codecademy’s popular free and low-cost courses.

Alternatives to Codecademy and DataCamp

If you decide not to enroll in Codecademy or DataCamp, you might want to look into one of the alternative resources below instead:

  • The popular online data resource Metis hosts part-time introduction courses as well as onsite & online bootcamp options. Like both Codecademy and DataCamp, their program is also hands-on, with lots of assignments. Learn more about Metis in our review. 
  • People seeking self-paced data science learning can also look into Data Science Dream Job. They offer flexible courses for aspiring data analysts and data scientists with mentoring opportunities.
  • One of the most popular bootcamps is General Assembly. They offer full-time, part-time, and 1-day courses on a variety of topics like data science, software engineering, and more. Read more about General Assembly in our review.
  • Similarly, other popular tech bootcamps with data science offerings include Flatiron School, Lambda School, Galvanize, allWomen Academy, Clarusway, GW Bootcamps, and Thinkful. While these bootcamps are much more intense than self-paced programs like Codecademy and DataCamp, students can learn data skills at a very fast pace.
  • Data scientists with some experience under their belt can check out The Data Incubator.
  • If you prefer in-person classes, check out Magnimind or Principal Analytics Prep, which have full-time and part-time data science courses.
  • Or, people interested in Python and web development bootcamps with hands-on learning can consider Coding Temple and RMOTR.
  • The massive online learning platform Udacity hosts free and paid courses on dozens of tech topics, including data science. They collaborate with top tech companies like IBM and Google on the curricula. Students in their nanodegree programs get 1-on-1 mentoring with both a career coach and a technical mentor. Learn more about Udacity in our review.
More alternatives
  • Like both Codecademy and DataCamp, the popular online learning platform Skillshare is remote and self-paced. They host 19,000+ free and paid courses in a wide variety of tech topics, including data science.
  • Another similar platform is edX. They offer self-paced courses with degree certificates from top universities like Harvard and MIT as well as big tech companies like Microsoft. Their courses cover a wide variety of tech topics, data science, software engineering, web dev, and more. Learn more about edX in our review.
  • Coursera hosts thousands of courses on tech topics like data science. Their courses are taught by professors from accredited universities with hands-on assignments, recorded video lectures, and community discussions.
  • Aspiring software engineers can check out Kenzie Academy, a full-time tech bootcamp that offers in-person and online courses. Learn more about Kenzie Academy in our review. 
  • Similarly, the self-paced coding bootcamp CodeX Academy helps people launch new careers in software engineering and web development. Students get job support and even 1-on-1 mentoring. Learn more about CodeX Academy in our review.
  • With tracks in data science, data analytics, software engineering, and much more, Springboard can be a good alternative. Students receive 1-on-1 mentoring and build over 14 portfolio projects. If students don’t land a great job in 6 months, they get a refund. Learn more about Springboard in our program reviews. 
  • Finally, the massive online learning platform Udemy hosts over 100k courses on tech topics like data science. Their courses are self-paced with both paid and free options.

How do Codecademy and DataCamp compare to Pathrise?

Codecademy and DataCamp offer online courses that help people learn the skills they need to launch a data science career. While both programs offer part-time and self-paced courses in data visualization, data science, and machine learning, Codecademy covers a much wider range of tech topics, including web development, software engineering, computer science, and 12+ individual programming languages.

While both Codecademy and DataCamp are aimed at beginners, job-seekers in the Pathrise program should have some background in their chosen field so they can fully benefit from our technical workshops, pair programming sessions, and technical interview prep. Neither Codecademy nor DataCamp offer any kind of career services or help with the job search. As a full service organization, Pathrise helps with every phase of the job search, including resume writing, LinkedIn profile optimization, portfolio reviews, reverse recruiting & cold emailing strategies, behavioral & technical interview prep, salary negotiation, and much more. 

We offer tracks in data science, software engineering, product design, sales, digital marketing, product management, strategy, and ops. Moreover, we offer a 9% income share agreement (ISA) so fellows in our program don’t pay until they land a great tech job. Our experienced mentors have already helped 800+ fellows land great tech jobs in only 3-5 months on average.

Pathrise is a career accelerator that helps students and professionals land their dream job in tech. Fellows in our program often see their interview scores double and their application responses triple, helping them land a better job faster. If you want to optimize your job search by working 1-on-1 with any of our mentors, join Pathrise. 

Apply today.

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