Working with data is moving today from some trendy thing to a necessity for specialists from different domains. There are many ways to gain the skills of effectively working with big data sets but right now we will focus on a huge fish – DataCamp. In this Datacamp review, we’ll see what courses the company offers and if they are worth it.
DataCamp is one of the best options for beginners to learn data analysis and data science
- Good for beginners
- Low price
- Possibility to easily switch from one course to another (e.g. from SQL to Python)
- Constant updates of the content
- Convenient interface for practice, no special software is required
- Many projects
- Might not be good for middle or advanced users
- Some exercises are too easy
- Customer support
“Learn data science today and apply it tomorrow”
What is Datacamp?
This is an online company that has gathered different data-related courses in one place. The provider has various classes mainly on R, Python, and SQL but also there are classes on Spreadsheets, BI, Tableau, and other topics. Those courses can be taken separately or as a set in frames of skill tracks or career tracks (read below about those formats).
In a nutshell, the company includes more than 340 courses which are a combination of videos with practical assignments, over 50 curated learning paths, and more than 50 real-life projects.
As for its features, DataCamp offers skill assessments where you can measure what is your current level of a particular skill. Also, the company has its mobile app (available on App Store or Google Play) where one can practice everywhere with their daily 5-minute coding challenges.
Who Is Datacamp for?
While DataCamp courses can be good for anyone, they will be the most beneficial for the following three groups:
- People who are planning to start a data-oriented career as a Data Scientist, Data Analyst, or Python Software Developer.
- Those who want to improve skills in related fields like online marketing – so that you can better analyze, visualize, and report marketing data as well as make data-driven decisions.
- People who just need to improve certain skills needed to become more proficient in working with data (for instance, for Digital Analysts who need to gain or improve knowledge of BI or Tableau).
All in all, this e-learning provider works best for beginners and intermediate-level students.
On Datacamp, you can choose among 3 learning formats to learn data-related skills.
The courses on DataCamp are of high quality, well-structured, and easy to follow. According to DataCamp, their instructors spend on average 10 to 30 hours on creating a new course. The content includes videos that introduces the concept and exercises to learn the concept and practice coding. The quizzes are quite engaging.
What is important is that the content is regularly updated and the company adds new courses almost every month. Here is the list of courses that are planned for 2022.
Courses on Datacamp are only available in English, but videos include subtitles in other languages (German, French, Italian, Spanish, Chinese, Japanese, Korean, Portuguese, Russian, Polish, Turkish, and more). Translation into other languages for instructions and exercises is not available.
All instructors on DataCamp are people who have experience in the data industry (usually commercial experience) and are skilled in Python, R, or SQL. Among instructors are people who work at Amazon, Facebook, Spotify, Nike, and other big companies. Most of them have full-time jobs but create courses on a project or part-time basis. Instructors can have no prior experience with teaching or mentorship; DataCamp helps them organize all the processes of creating a course.
There are over 270 instructors in total and you can check the list here. Each DataCamp instructor has their own page with their bio and links to social media.
Ease of use
Opening an account and starting a course on DataCamp is really easy and straightforward. To open an account you just need your email and password; you can also sign up with your Gmail account, LinkedIn or Facebook profile.
When you sign up, you have your own dashboard with your progress, courses and projects you have started, and access to live events.
You can also go to the course list, use a filter and find a new course for later; then, you can bookmark it and then easily access it from your workspace. Moreover, you can join a Slack community from your DataCamp dashboard.
How to use Datacamp
- Choose a course
First, you should decide on the technology to learn (R, Python, or SQL). Then, you can browse all the content related to it. For instance, if you’re interested in Python go to Products in the menu and then by choosing Python under the Course Catalog section. Then, you will be taken to the page, where you can choose either a skill track, which is a longer form of content, or a course, which is a shorter form of learning.
2. Choose a plan
Then, you need to buy a Datacamp plan to be able to access all the content you need. You can do it from a course page directly or by clicking on Pricing in the menu.
How a single course is structured
Each DataCamp course normally consists of a theoretical part and a set of tasks. The first part is usually a 3-5 min video where an instructor explains the concept and it’s simultaneously illustrated on the screen. There are also transcripts under each video.
As for the practice, there are two types of tasks:
- Quizzes where you just need to answer some questions like “What tasks you can solve with this programming language?” and a list of answers to choose from. Those are usually the first quizzes in a chapter.
- Quizzes where you need to read the instructions and then type an answer (to code) using the in-built. Then you can run the code and submit your answer. If you struggle with the answer, you can use a hint provided by DataCamp.
Here is an example of such a task:
Suppose you have $100, which you can invest with a 10% return each year. After one year, it’s 100 x 1.1 = 110 dollars, and after two years it’s 100 x 1.1 x 1.1= 121. Add code to calculate how much money you end up with after 7 years, and print the result.
And here is how it looks on DataCamp: the instructions and the interface for writing your code as an answer.
Datacamp Career Track Review
Career track is a set of courses in a specific domain so that a person can learn new skills from scratch so to start a career. On datacamp.com, you can switch between three technologies – Python, R, or SQL and choose one of 14 career tracks. Among them are Python or R Programmer, Data Analyst, Data Scientist, Statistician, Machine Learning Specialist and some other programs.
Each track includes 15 single classes and takes on average 70 hours to complete.
Each class consists of a number of exercises. After starting the track, on the left side of the screen, you will see the information on the topic as well as the task you need to do; on the right side, there will be a console for writing the code. Here is how it looks like.
Datacamp Skill Tracks
Furthermore, you can search for a skill track. This is also a set of courses but a shorter one. You can choose one of 50 skill tracks of approximately 15 hours’ duration each. Those programs cover also Python, R, or SQL, however, here additionally are courses on spreadsheets, shell and some theoretical issues.
For illustration, such tracks as Statistical Fundamentals, SQL Fundamentals, Image Processing, Applied Finance, Importing and Clearing Data, Programming with R or Python are on the list of Datacamp skill tracks.
Datacamp for Business
The company offers solutions for employees who want to improve the data skills of their teams. This subscription allows creating custom learning paths and features tools for measuring the team’s progress as well as creating reports on that.
Here you can request a free demo.
Datacamp offers two types of pricing packages – for individuals and for teams. Individual customers can choose between three subscription options:
- Free (includes intro parts (up to 7 first levels) of all courses, 3 sets practice challenge, and 1 skill assessment)
- Standart which costs $12.42 per month (includes all courses as well as skill or career tracks)
- Premium subscription which is $33.25 per month (additionally includes 80 projects to practice skills, content on Tableau, Power BI, and Oracle as well as priority support).
Basic business plan (for teams) costs $25 per user per month and requires at least five users for a subscription.
Ease of Use
This program by Datacamp includes 23 courses and takes about 88 hours to complete it. It covers basic Python topics like data types and functions and then proceeds to more data-focused ones like Data manipulation with Pandas, Data Visualisation with Matplotlib and Seaborn. The track also includes classes on Statistics and Machine Learning.
This program provides 7 projects for practicing.
You don’t need to have any prior programming experience for enrolling.
You might also be interested in the Data Analyst program.
This career track runs 93 while consisting of 23 single courses. This program is aimed at teaching how to train models, evaluate their performance and improve or customize it by tuning parameters. This track also covers such topics as NLP, working with images and using Spark and Keras (Python libraries).
Additionally, here are some of the Python courses:
Datacamp R review
This career track runs 76 hours and consists of 19 courses. It shows how to effectively work with data – structure, import, clean, or visualize it. It also touched on statistical and machine learning techniques as well as the most popular R packages.
Among other R career tracks are R Programmer, Machine Learning Scientist with R and others.
Datacamp SQL Review
One of the best programs to become acquainted with this technology is SQL Fundamentals, a skill track that includes 5 courses and lasts 21 hours. This track shows what SQL is, how to join and perform other actions with data. Moreover, it teaches how to work with data in PostgreSQL.
Among other skill tracks focused on SQL are two: SQL Server Fundamentals and SQL Server Toolbox.
Other popular Datacamp courses to consider
Here are also some good examples of single courses. Each one lasts for 4 hours and includes the first free chapter.
This course shows how Modern Portfolio Theory can be applied to the financial crisis of 2008, discusses Value at Risk (VaR) and Conditional Value at Risk (CVaR) as risk measures, presents how Monte Carlo simulation can be used for predicting uncertainty, and also reveal how to utilize neural networks for risk management.
During this course, such Python libraries as pandas, scipy, and pypfopt and others will be used.
This class is part of text mining and it reveals how to identify emotional intent and divide text (e.g. reviews) by positive and negative language markers. This course also includes a case study where you can analyze Airbnb reviews, are they positive or negative ones.
This one is useful to learn new Excel functions to work with data. The course covers 35 functions like VLOOKUP and AVERAGEIF(S). It also includes training on the data.
How to Choose a Course on DataCamp?
There are so many courses on Datacamp that it might be hard to make a choice. Here are some tips to consider:
- If you have no prior knowledge, start with courses that start with “Introduction” or just short courses to check if you like it (e.g. Introduction to SQL)
- If you have some prior knowledge but don’t want to dive into a specific field, choose most popular courses or ones with the word “Intermediate” in their names (e.g. Intermediate SQL)
- If you are planning to work in a specific field or have a specific field of interest, pick the programs accordingly (data analyst, data scientist, business analyst, marketing analytics, etc)
After inspecting the feedback from clients, there are two main opinions. First, clients talk about the high quality of the courses. Second, customers complain about the renewal of the paid subscription and poor customer support.
Also, some customers with already a high level of skills claim that this e-learning provider is not that useful for them. However, beginners say Datacamp classes are good for them to gain the needed knowledge.
So, here are some examples of DataCamp reviews from Trustpilot, Quora, and Reddit.
“DataCamp is based on practice, it has a lot of practice assignments that gives you hands-on experience and it is advised to be taken after you have done your theoretical study in this field, after which you will be able to practice what you have learned.”
“Datacamp courses are light, short and straight to the point; I would call them “topic classes”. They include short videos, online coding that act as quizzes, and slides. They do not have much interaction or consultation forums.”
“It gently introduces you to a wide range technologies and subjects including GIT, Scala, Python, R, SQL, Tableau, Excel, Data Science, Machine Learning, Statistics and Probability and more… [But] The courses are really only intended for beginners.”
DataСamp Pros & Cons
So, here is a brief recap of the pros and cons to answer the main question – is Datacamp worth it?
What is Good: DataСamp Pros
- It’s good for beginners, DataCamp courses don’t require any prior experience or education.
- You don’t need to install any special programs (like Pycharm for working with Python).
- You can easily switch from one course to another (e.g. from SQL to Python). This is good if you hesitate about which programming language is the best for you to learn.
- The price of the subscription is low, its courses are cheaper than the similar ones by competitors.
- There are constant updates of the content. There are new courses coming out almost every month (for example, the latest ones are Introduction to Data Visualization with Plotly and Hypothesis Testing in R).
What is not good: DataСamp Cons
- If you are not a complete beginner, many courses might be too easy for you. Many exercises require you to just fill in the blank spaces or provide you with similar tasks.
- Sometimes, there might occur problems with paying for the subscription; when you don’t realize that you have been charged.
- Customer support may not answer your questions immediately or just ignore your requests.
How to use Datacamp effectively?
It might seem obvious but not all DataCamp subscribers use the platform effectively. Therefore, here are some tips to get the most out of it.
- Don’t start a few Datacamp courses at a time. This might lead to losing focus and quickly feeling overwhelmed.
- Set timeframes to finish the Datacamp course, Career track, a project, etc, and define clear skills you need to have after completing it. You can use DataCamp’s Assessments to check your progress.
- Make sure to find your own data-related project to implement learned skills. You should feel a strong need to improve your skills and be able to solve particular problems.
You can use the platform for free and get access to the first chapters of the courses and a few projects.
To do this, you need to click on your name on your profile photo. Then, choose ‘Subscriptions’ and ‘Stop Automatic Billing’ and confirm the action.
If you are interested in lower prices, right now, Datacamp doesn’t have any promo actions; however, sometimes the company offers such (this happens approximately every 2 months or before the holidays).
To join Datacamp for free, you just need to sign up with your email, choose the course, and enroll. However, you will have access to the introduction part only at no charge.
Yes, the company offers value for money and is able to teach you basics of R, Python, SQL or some narrower concepts.
The company currently offers only one certification, Data Science Professional.
While Datacamp certificates are not recognized, you can add them to your resume or Linkedin page as proof of skills.
DataCamp Review Recap: Is DataCamp worth it?
After reviewing all the aspects, it seems that the Datacamp subscription is worth paying for it. Generally, the provider gives more benefits for beginners than for professionals but it depends on the course. All in all, it’s a narrow-focused online company (which often highlights its proficiency in the domain) that is a good choice in terms of value/money.
Disclosure: Self-Starters team has not received any compensation from Datacamp or anyone else associated with the company. However, this review contains affiliate links, which means that, if you click & purchase from these links then, we will receive a small commission. This commission helps us to maintain this website. But you don’t pay anything extra.