Datacamp vs Coursera
Coursera and DataCamp are both huge and widely known companies. Each company is good in what it offers but which one to choose? In this Datacamp vs Coursera comparison, we’ll take a closer look at both providers and what courses they have to offer–especially in relation to data science.
DataCamp vs Coursera Similarities
- Both companies have a number of programs in data science, machine learning, and other data-focused subjects.
- Both have short and longer programs made of single courses.
- Both providers have free but limited content.
- Both companies offer courses for people with no prior knowledge or experience.
- Both provide a certificate upon completion (in paid programs).
- Both providers offer hands-on projects to practice theoretical concepts.
Main Differences between DataCamp and Coursera
- Coursera offers courses on a wider range of subjects (from coding to psychology), whereas DataCamp specialists on data-related subjects (data analysis, machine learning, etc)
- Coursera has more types of programs including online degrees; DataCamp offers both short and long programs but there are no online degrees.
- Coursera offers peer feedback as a mandatory thing to finish paid programs while with DataCamp you can get peer assessment only on their community space.
- DataCamp offers completely self-paced learning while some of Coursera’s programs have deadlines and scheduled classes.
- Coursera has both instructors from academia and people from businesses while DataCamp’s instructors are mainly from the business sector.
- DataCamp’s content is available in English only, while Coursera has content in other languages as well (or at least with subtitles).
DataCamp vs Coursera Courses
DataCamp has short single courses and two types of longer programs (skill tracks and career tracks). It has 387 courses in total and all of them are focused on data skills. The majority of them are centered around either Python or R.
Coursera has a huge number of programs on topics from different domains. It has around 4000 courses in total with short (single courses and Guided Projects) and long programs (Specializations, Professional Certificates, MasterTrack® Certificates, and Degrees) on this list. Moreover, Coursera has over 840 programs related to data science (in different languages).
So, let’s be more specific and compare the most popular courses by Datacamp and Coursera related to data science.
Data Scientist with Python on Datacamp
This course is based on learning Python skills as the main programming language for data science. It covers the foundation of Python and more advanced topics like Machine Learning. A huge part takes Pandas and Numpy to tackle such tasks as data cleaning and data manipulation. Another huge part of it is Machine Learning and scikit-learn package that helps with these tasks. There would also be tasks where you’d need to deal with building a predictive model and run hypothesis testing.
In a nutshell, the course covers the main topics needed for data science. It teaches solid Python skills but misses the basic math content needed for to work in this domain. Thus, it would be best if you have a background or a higher education to have solid math and statistical skills.
- Libraries: pandas, NumPy, Matplotlib, etc.
- Beginner friendly
- 97 hours
- 25 courses
- 6 projects
- 3 skill assessments
- Price: $12.42/mo
==>> Datacamp’s main alternative: Data Scientist with R
IBM Data Science Professional Certificate on Coursera
The program is an all-in-one course for learning Data Science. It uses Python and its libraries (NumPy, Pandas, Matplotlib, Seaborn) as the focus programming language and includes hands-on practice in the IBM Cloud utilizing real-world data sets. One of the main modules here is Data Analysis with Python where you would learn data analysis, data wrangling, and model creation.
Moreover, there is the machine learning module that touches the topic but without going deep into the subject.
There are also topics on SQL and databases.
All in all, the course is good and gives a solid understanding of Data Science. However, it also doesn’t cover math fundamentals and is light on statistics that are needed for working in this field. Thus, you should already have the understanding or learn these subjects additionally.
- 10 courses
- 11 months to complete (4 hours/week)
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and more
- Projects: random album generator, predict housing prices, best classifier model, Predicting successful rocket landing, dashboard and interactive map
==>> Coursera’s main alternative: Data Science Specialization by The Johns Hopkins University
Here are other Machine Learning programs on Coursera and Datacamp you can compare yourself. They are also recommended by our team.
Machine Learning Specialization on Coursera
- Python (NumPy and scikit-learn), TensorFlow
- 3 courses
- Instructor: Andrew Ng (top instructor)
- 3 months to complete (9 hours/week)
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
Machine Learning Scientist on Datacamp
- Python (Spark and Keras, scikit-learn), TensorFlow
- 93 hours
- 23 Courses
- 1 Skill Assessment
- Supervised Learning with scikit-learn
- Linear Classifiers in Python
- Machine Learning with Tree-Based Models in Python
Both companies offer good content and to choose which course is better for you, you should check the curriculum and its instructor.
Among the main alternatives for learning data science are Udacity, 365 Data Science, and Dataquest.
DataCamp vs Coursera Pricing
Both companies have free content but of a different kind. Datacamp offers the first chapter of each course for free. Then, it has an easy pricing model: you’ll need to pay $12.42/month but with the only option of an annual payment.
Coursera’s pricing model is more complicated as it has more options. It has completely free courses where you can access its content fully but with no certificate after completing. Meanwhile, there are a lot of other options. It includes Specializations and Professional Certificates with the cost starting at $39/mo, MasterTrack® Certificates from $2,000 and Degrees from $9,000.
DataCamp vs Coursera final verdict
Coursera and DataCamp are both a good choice for learning data science and generally for online learning. They both offer solid courses that are a good-to-go- solution with all the needed subjects covered. Moreover, the pricing is almost the same (if we do not consider online degrees). Your choice is completely up to you as we recommend both companies, To decide which one to go with, take a look at their curriculums, at online reviews available on Reddit and other platforms, and then make a final decision.