Data Analyst Interview Preparation
Prepare for data analyst interviews from job postings to technical interviews.
Includes Python, SQL, Interview Prep, Statistics, A/B Testing, Data Cleaning, Data Visualization, Communication, and more.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursPrerequisites
None
About this skill path
Prepare for the entry-level data analyst job hunt. This skill path will guide you through navigating job postings, building a portfolio, and preparing for interviews. You will practice answering actual interview questions, solving real-world code challenges, and building whiteboarding skills.
Skills you'll gain
- Navigate job postings
- Answer technical interview questions
- Build a portfolio
Syllabus
7 units • 4 lessons- 1
Welcome to the Data Analyst Interview Preparation Skill Path
Prepare for your data analyst interview, get familiar with common analytics roles, and practice questions to hone your interview skills.
- 2
Getting Started with Data Analyst Interview Preparation
Navigate data analyst job descriptions and the data analyst interview process with confidence!
- 3
General Data Questions
Practice answering data analyst interview questions about general data concepts.
- 4
Visualization, Communication, and Experimental Design
Practice answering data visualization, communication, and experimental design interview questions for data analyst interviews.
- 5
Coding Challenges
Prepare for SQL coding challenges and whiteboarding interviews in any programming language (including Python and R).
- 6
Data Analyst Interview Preparation Portfolio-Building Project
Showcase your data analysis skills with a portfolio project.
- 7
Review of Data Analyst Interview Preparation
Review the skills and techniques you have learned to be successful in your data analyst interview.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Skill paths help you level-up
Get a specialized skill
Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.Get there quickly
We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.
Ready to learn a new skill?
Get started on Data Analyst Interview Preparation with a free Codecademy account.StartLooking for something else?
Related resources
- Article
Acing the Technical Interview
Technical interviews allow you to showcase your knowledge and skills to prospective employers. - Article
R Programming Language Explained (Careers, Use Cases, Difficulty)
Explore what the R programming language is, its features, pros and cons, use cases, careers, and how it compares to Python. Learn how R is used in data science and how easy it is to learn. - Article
Intro to Data Acquisition
Exploring and defining the methods of obtaining data
Related courses and paths
- Skill path
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.Includes 8 CoursesWith CertificateIntermediate3 hours - Course
Technical Interview Practice with Python
Hone your coding skills by practicing with industry standard technical interview problems!With CertificateIntermediate6 hours - Career path
Business Intelligence Data Analyst
BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.Includes 18 CoursesWith CertificateBeginner Friendly50 hours
Browse more topics
- Interview prep103,370 learners enrolled
- Python3,951,112 learners enrolled
- Data science4,896,808 learners enrolled
- SQL1,407,292 learners enrolled
- Data visualization465,902 learners enrolled
- Code foundations7,981,410 learners enrolled
- Computer science6,450,033 learners enrolled
- Web development5,349,982 learners enrolled
- For business3,747,794 learners enrolled
What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.