How should I prepare for the certification?
For the Data Scientist certification, we recommend that you first complete:
- The Data Scientist with R or Data Scientist with Python career track
- SQL Fundamentals skill track
- Data Communication Concepts course
For the Data Analyst certification, we recommend that you start out with:
If you use Python:
- Introduction to Python
- Intermediate Python
- Data Manipulation with Pandas
- Joining Data with Pandas
- Introduction to Data Visualization with seaborn
- Data Communication Concepts course
For all Career Certifications, you can access each Certification’s Practical Hub by clicking the Get Started button. Here, you will find specific recommendations for each Certification, a Study Guide in the 1) Prepare with DataCamp section, and sample exams and common exam mistakes in the 4) Practical Exam section.
Lastly, you can explore the AI Assistant on your homepage for course recommendations.
This feature is designed to help learners discover relevant educational content. It acts as a conversational chatbot, allowing you to find tracks, courses, tutorials, webinars, and projects tailored to your learning goals and career aspirations.
How should I prepare for the case study?
By the time you get to the case study you will have been tested on a whole range of skills. Some of these will be tested again during the case study but others, like communication skills, will be tested for the first time.
Our Data Communication Concepts course will help you prepare to present to technical and non-technical audiences.
Can I practice a case study before I book a time?
Yes! Although we won’t be able to give you any feedback, you can try one of our old case study projects currently on our GitHub pages.