Data Analyst Professional

Certification Requirements

DataCamp’s Data Analyst Professional Certification is awarded to individuals who successfully complete two exams (DA 101 and DA 201) and one practical exam (. You can find the comprehensive study guide here.

What to expect on the exams

DA101 is a 60-minute SQL exam that assesses your proficiency in data management and exploratory analysis. To successfully pass this exam, you should be able to:
  • Perform data extraction, joining and aggregation tasks
  • Perform cleaning tasks to prepare data for analysis
  • Assess data quality and perform validation tasks
  • Calculate metrics to effectively report characteristics of data and relationships between features
DA201 is a 60-minute exam where you’ll choose either R or Python to work through the questions. This exam assesses your abilities to use R or Python for data management, exploratory analysis, and statistical experimentation. To successfully pass this exam, you should be able to:
  • Perform standard data extraction, joining and aggregation tasks
  • Create data visualizations in Python or R to demonstrate the characteristics of data
  • Create data visualizations in Python or R to represent the relationships between features
  • Describe statistical concepts that underpin hypothesis testing and experimentation (i.e., statistical distributions, power analysis, parameter estimation and confidence intervals)
  • Apply sampling methods to data
  • Implement methods for performing statistical tests

What to expect on the practical exam

The final step in this certification is a practical exam. The practical exam assesses your skills in data visualization and communication. You’ll review a business problem, select and create appropriate visualizations, and give a relevant summary of what you have found to the defined audience. You’ll need to record your presentation and submit it via the certification portal.
You can find more information on how we grade the Data Analyst practical exam in the full rubric.
To pass the case study, you’ll need to be able to:
  • Employ data visualization to support my findings
  • Describe how data can inform business decisions
  • Frame, convey, and summarize stories using data
  • Employ multiple tactics (written and verbal) to communicate to business leaders

How to prepare

Many certified individuals completed courses and tracks on DataCamp to prepare for the certification. We recommend that you complete the Data Analyst with SQL and either the Data Analyst with R or Data Analyst with Python career tracks. You may want to enroll in the Data Communication Concepts course to prepare for the practical exam.

Skills Assessments

If you aren’t sure whether your skills are at the level required for certification, you might want to take the following skill assessments and see if your score is at or above the Professional Data Analyst level.