Photo of a review of DataCamp as a data science resource

A review of DataCamp as a data science resource

Hi, I’m Olga, a former lead data scientist at eBay and now advisor at Pathrise. I work with candidates who are looking to land great jobs in data science.

What does DataCamp do?

DataCamp offers a variety of courses on topics under the data science umbrella. Students can choose to take courses or enroll in a skill or career track. There are 312 courses on a variety of topics, such as data engineering, reporting, probability, and others. Courses are typically 4 hours long.

Skill tracks guide students to proficiency in a specific technology, methodology or domain, like R/Python programming, machine learning, modeling, and more. These skill tracks include multiple courses on the subject and typically take between 12-28 hours to complete. 

The career tracks curriculum is meant for students who are looking to start a new career in data science. Students choose what type of role they are interested in (ex: data analyst, data scientist, R programmer, etc) and then they do that career track. Depending on the technical nature of the role, the program varies in length and number of courses needed. R programmer is the shortest option – it has 9 courses and takes 43 hours. Data scientist with Python is the longest – students in this program take 26 courses over 100 hours. 

They also have a community forum for people to talk about the latest data science news, technologies, and tools. People can also connect to work on open source projects through the forum and projects.

Who is DataCamp for?

Current and aspiring data scientists can both benefit from the courses and programs offered by DataCamp. With the community forum and the projects, data scientists of all levels can learn and contribute.

What does DataCamp cost? How much work is involved?

DataCamp works on a subscription model. It is $29 per month ($348 for the year) or you can choose to pay for the full year upfront, in which case it is $300. They also have a free option, which gives access to all of the course and track first chapters as well as 100+ coding challenges (versus 500+ for the paid options) and 7 projects (versus 80). In order to gain access to DataCamp, you need to create an account using LinkedIn, Facebook, GitHub, or email.

Ratings and reviews

The reviews online for DataCamp are mixed. A lot of people find the content useful and interesting, but there are a fair number of people who object to the way it is taught. Usually, they are referring to the fact that a lot of the work is done for them – for example, in the assignments, most of the code is already written, making it easier to get the right answer but harder to learn by doing. They also explain that a lot of the lessons include giant walls of text, essentially “telling” rather than “showing” how to do a task.

To combat the above issues, reviewers explain that DataCamp is very helpful as an introduction to these subjects. Students can learn a lot from the courses and tracks offered and then they should go off on their own to work on open source projects as well as additional courses. The lower price point, when compared to other bootcamps, is also a benefit for a lot of people.

Alternatives to DataCamp

For aspiring data scientists and those who are looking to continue their education on the subject, there are a fair number of alternatives. Dataquest offers online, 24-week project-based data science courses focused on data analysis using R and Python.Udacity has courses that range from introductory level to advanced. They are most well known for their nanodegree programs, which they offer in data visualization and programming for data with R or Python as well as career paths for data analyst, data engineer, data scientist, and business analytics. Students can also check out Udemy, which has 1000 data science resources, and Coursera, which has different tracks, including ones from accredited universities.

For people looking to find a community of data scientists and projects to work on, Kaggle is a good alternative. They have 19,000 public datasets and 200,000 public notebooks for people who are looking to get started or contribute to data science projects in order to advance their skills or build up their portfolios.

How does DataCamp compare to Pathrise?

DataCamp offers courses for people who are interested in learning how to become a data scientist or people who want to advance their knowledge significantly. At Pathrise, job-seekers in our program should already have a background in the field they are interested in so that they can participate in and fully benefit from our technical workshops, where we provide a more specific curriculum based on what they will see in their interviews.

All of our workshops and sessions at Pathrise are live, as well as recorded, so that job-seekers in our program can review them afterwards and continue learning. Our program is flexible, with only 4 hours of group sessions per week and 1-on-1 sessions that can be scheduled whenever job-seekers need them. In addition, the topics are personalized to work on the skills that people struggle with the most.

Specifically, Pathrise focuses on technical and behavioral interviewing as well as resume and LinkedIn optimization, portfolio building and strengthening, cold email and reverse recruiting lessons, and negotiation templates and guidance. Job-seekers in Pathrise find a job, on average, within 3-5 months of joining the program.

Pathrise is a career accelerator that works with students and professionals 1-on-1 so they can land their dream job in tech. If you want to work with any of our mentors to get help with your technical and behavioral interviews or with any other aspect of the job search, join Pathrise.

Apply today.

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