DataCamp is a massive open online course (MOOC) provider established in 2013 that specializes in topics like data science and analytics. It offers 380+ interactive courses taught by 270+ expert instructors from DataCamp and top institutions such as Caltech and Cornell University.
DataCamp makes it easy to find good courses, by choosing among 3 learning formats to learn data-related skills:
Courses – short 3 to 4-hour programs focused on a specific narrow topic.
Skill Tracks – longer programs ranging from 2 to 7 courses, that help you gain domain-specific expertise. You can choose from 50 skill tracks of about 15 hours duration each.
Career Tracks – the longest form of learning, which includes several courses and is made to gear you up for a new career. Each track consists of 15 single classes and takes an average of 70 hours to complete. They are the most thorough, beginning with introductory courses that start with basic skills and ending with more focused, advanced topics.
In this article, you will be provided with an in-depth review of Datacamp. Various factors such as the pros and cons of this e-learning platform, courses, and other relevant information have been included here for you.
Pros of Datacamp
- Interactive and Engaging Courses: DataCamp provides interactive coding exercises which keep challenging you constantly.
- Experienced Experts: DataCamp instructors are subject matter experts in data science and analytics, coming from top-notch companies around the world.
- Content Quality: The quality of the content that DataCamp provides is on top of their priority list. Its learning methodology is a 4 part process: Assess, Learn, Practice, and Apply, which helps give users a well-rounded learning experience.
- Free Plan: DataCamp gives you free access to initial chapters of courses and assignments.
- Wide Range of Courses: DataCamp has something for everyone, from absolute beginners to learners with some knowledge, they cater to everyone’s needs.
- Convenient Interface for Practice: DataCamp has a user interface that is not only attractive but also intuitive and easy to use.
- Good for Beginners: DataCamp courses do not require any prior knowledge of data science, they are beginner-friendly.
Cons of Datacamp
- No Verified Certificate: DataCamp does not offer verified certificates from partnered universities or organizations. Instead, a “Statement of Accomplishment” is given once you complete the course.
- Video Content Lacking Detail: Some of DataCamp’s video tutorials are a little short and lack detailed information.
- Might Not Be Good for Medium or Advanced Users: Many courses might seem too easy for you if you are not a complete beginner. Many of the exercises require you to just fill in the blanks or do other simple tasks.
- English-only Courses: 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, etc.).
Datacamp Certification Programs
Datacamp has recently added a couple of certification courses to its platform, which have been brought in partnership with industry leaders and established that you hold the skills for a career in the particular field. The best part is that these certifications are included in your paid Premium plan.
1. DataCamp for Business
DataCamp for businesses is an online training platform for every role, from non-coding jobs to data science and machine learning. It assists companies to retain top talent and efficiently train their employees in the skills their job demands. It has worked with 2,500+ corporations, and 80% of the Fortune 1000 use DataCamp for their employee training.
2. DataCamp for Classrooms
DataCamp is 100% free for educators and their students, all you need to do is to apply to get access to your 1200+ hours of free membership to data science courses. Its mission is to empower everyone with data skills for the future. As an educator, you can create assignments for your students, collaborate on data projects as a group, and track your students’ growth and progress. After you have submitted your application, it can take a few days for it to be approved.
Most Popular DataCamp Courses
Data Scientist with Python – A career track program that will help you gain the python skills you need to succeed as a data scientist. It includes 23 courses and takes about 88 hours to complete. It covers basic Python topics like data types, functions, Data Manipulation with Pandas, Data Visualization with Matplotlib and Seaborn, along with Statistics and Machine Learning. No prior coding experience is required for enrolling in this course. This program provides 7 projects for practicing and has gotten a 4.5-star rating. It includes the following programs:
Data Scientist with R
A career track program that will help you gain the career-building R skills you need to succeed as a data scientist. It will show you how to effectively work with data and will give you hands-on experience with statistical and machine learning techniques, real-world datasets, as well as some of the most popular R packages. It includes 19 courses and will take you 76 hours to complete. It has gotten a 4.5-star rating.
Data Analyst with Python
A career track program that will help you gain the career-building Python skills you need to succeed as a data analyst. It will teach you how to import, clean, manipulate, and visualize data in R, and how to use tidyverse packages like dplyr and ggplot2. You will also get hands-on experience with some of the most popular Python libraries. It includes 16 courses and will take you 62 hours to complete.
A skill track program that will help you gain the foundational skills to become a Python programmer. You will learn the Python basics during your course journey. The course has a 4.5-star rating and will take you 15 hours to complete.
Machine Learning Fundamentals with Python
A skill track program that will help you learn the fundamental concepts of Machine Learning. It includes 5 courses and will take you 20 hours to complete. It has gotten a 4.5-star rating.
A skill track program that will help you gain the fundamental skills you need to interact with and query your data in SQL. Through hands-on exercises, you will discover how to quickly summarize, join tables, and use window functions and built-in PostgreSQL functions to analyze your data. It includes 5 courses and will take you 21 hours to complete.
Power BI Fundamentals
A skill track program that will help you learn how to use Power BI — one of the world’s most popular business intelligence tools. Through hands-on exercises, you will learn how to organize and analyze data, create presentation-ready visualizations, and build insightful dashboards and reports. You will then learn how to prepare data in Power Query before getting introduced to the topic of Data Modeling. It includes 6 courses and will take you 17 hours to complete.
Data Literacy Fundamentals – A skill track program that will help you gain the fundamental skills you need to speak the language of data. Through hands-on exercises, you will learn how to confidently interpret data and incorporate it into your daily life. It includes 5 courses and will take you 10 hours to complete.
DataCamp Pricing Plans
Datacamp offers two types of pricing packages:
1. For Individuals
There are two subscription options available:
- Basic (includes six free courses, the first chapter of every course, all cheat sheets, and all tutorials)
- Premium (includes everything in basic, unlimited access to full course library, skill assessment, and earn all certificates and projects), all at $12.42 per month billed annually.
2. For Businesses
There are two subscription options available:
- Teams (includes everything in premium, view learning activity, and track progress, with license management tools), all at $25 per month per user billed annually.
- Enterprise (includes everything in teams, personalized and adaptive learning paths for employees, advanced analytics and reporting integrations, LMS/LPX integrations). Contact DataCamp for custom Enterprise prices.
Is DataCamp Worth The Purchase?
DataCamp courses are extensive and well-detailed. They are presented in an easy way which is particularly useful for a beginner learner. One thing that sets DataCamp apart from other platforms is its track learning programs. It is worth a try if you are looking to improve your skills or want to start a new career in data science and analytics.
While DataCamp courses can be good for anyone, they are most practical if you are planning to start a data-oriented career, want to improve in related domains like online marketing, or just need to improve certain skills to become proficient in working with data.
Its content includes videos introducing the concept and exercises that help in revision and coding practice. The quizzes are also particularly engaging. Additionally, DataCamp prides itself on keeping its content regularly updated and the website launches new courses almost every month. Therefore, it is continuously extending its curriculum so that learners can keep up with the latest in data science and analytics.
Even though DataCamp does not offer validated certificates partnered by Universities or Institutions, it does provide you with a Statement of Accomplishment.
After reviewing all the factors, it seems that the Datacamp subscription is worth paying for it. All in all, it is a company that often highlights its proficiency in the domain, which provides good value-for-money content.
Frequently Asked Questions
Q1. Is DataCamp really good?
Ans: DataCamp is an excellent platform for specializing in topics like data science and analytics.
Q2. Are DataCamp certificates worth it?
Ans: Having a DataCamp certificate will enhance your CV and make it more valuable – so yes, it is worth it.
Q3. Is DataCamp good enough to get a job?
Ans: Adding a DataCamp certificate to your resume gives you an upper hand at job interviews.
Q4. Which one is better DataCamp or Coursera?
Ans: DataCamp is pretty affordable, while Coursera has more diverse topics and provides accredited certificates. Overall, Datacamp has an edge over the latter option.
Q5. Is Data camp better than Coursera Udemy?
Ans: If you are a beginner in some field, then studying from Datacamp will be more beneficial for you. If you are experienced and looking for value-addition, then the other options are better.
Q6. Is edX or Coursera better?
Ans: EdX has better quality content on its platform than Coursera.
Q7. Should I put DataCamp on my resume?
Ans: Adding DataCamp to your resume will make you look more qualified for your job interview.
Q8. How long does it take to finish DataCamp?
Ans: It depends on your ability to understand a concept and the time you invest in learning every day on DataCamp. However, it roughly takes about 14 to 24 hours.
Q9. How long does it take to learn in DataCamp?
Ans: It depends on whether you’re following courses, skill tracks, or career tracks. It can take about 20 hours to 100 hours depending upon your field.
DataCamp is a great place to learn how to code, its self-paced classes teach you everything from programming basics to machine learning. DataCamp does offer some classes for free, but the paid plans are also cheap for what you get in return.
No doubt DataCamp’s courses for learning Python, R, and SQL are among the best in the business. Most notably, completing these tracks demonstrates that you have strong programming skills. And it may even attract employers that appreciate this effort.
DataCamp has worked with 2500+ successful companies such as Google, Microsoft, Deloitte, and eBay to upskill its employees and make them stand out in a competitive job market. All the instructors on DataCamp are industry experts who are skilled in Python, R, or SQL; who work at Amazon, Facebook, Spotify, and other big companies. Each instructor has their page on the website with their bio and links to their social media. In addition, there is a big community of students on DataCamp who help each other learn.
To conclude whether DataCamp is worth your time (or money); if you are looking to build your data science skills then DataCamp is a good option for you. The added tip is to follow and complete one of its skill or career tracks at a time to get the most out of your learning.