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Simran Kaur Arora | 30 Aug, 2023
Robert Johns | Co-author

11 Best Data Science Certifications To Get Hired [2023 Update]

In this article, we share the 10 best data science certifications in 2023. Whether you’re looking to land a job as a data scientist or want to further your career by enhancing your data science resume, we’ve included data science certifications for juniors and experienced pros alike.

As we move into the second half of 2023 and beyond, data science remains an essential tool for modern organizations that want to unlock hidden value from their ever-growing data stores. 

One of the best ways to stand out in this sector is to earn one of the best data science certifications. Often challenging to achieve, data science certifications can validate your data science skills and show future employers that you have what they’re looking for when answering data science interview questions.

And with the Bureau of Labor Statistics reporting a median annual salary of more than $100,000 for data scientists, earning one of the best data science certifications can be a highly lucrative career decision.

So if you’re ready, let’s dive into the best data science certifications to help you take your data science career to the next level.

How to Choose the Best Data Science Certification in 2023?

If you’re unsure which data science certification to choose, consider the following criteria.

  • Qualifications & Skills: Do you need a degree or professional qualifications? Do you have the necessary technical and scientific skills?
  • Cost: Will the investment be worthwhile at this stage in your data science career? 
  • Renewal Period: For how long is the certification valid? Will you need to renew regularly? Will you need to re-sit the exam to extend your status?
  • Reviews: Do others say that the certification has improved their career or their ability to apply for jobs?

Whichever data science certification you choose, if you’re keen to enhance your resume, we’d also recommend one of the world-class AI courses offered by Stanford. These are an excellent way to complement your data science skills with AI and ML from highly-regarded thought leaders like Andrew Ng.

Note that all certification prices are accurate as of July 2023. 

Data Science Certification vs. Data Science Certificate

Although these terms are frequently used interchangeably, they are not the same.

  • Data Science Certificate: Often awarded as proof of completion for a data science training course and may occasionally require a grade exam, although this is less common.
  • Data Science Certification: An industry-recognized way to verify competence and expertise. Usually only obtained by taking and passing a challenging graded exam, passing peer interviews, and meeting the required prerequisites.

While data science certificates are much easier to get, they can be a great stepping stone toward getting a more challenging certification in data science. This is an excellent choice if you’re a beginner or transitioning from one field to another.

This article covers the best data science certifications in 2023, along with two of the best data science certificates for aspiring data scientists looking to break into this field.

The 11 Best Data Science Certifications

1. [Certified Analytics] Certified Analytics Professional (CAP)

[Certified Analytics] Certified Analytics Professional (CAP)

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Why we chose this

Highly valued by analytics-oriented organizations around the world, the Certified Analytics Professional (CAP) can advance the careers of data scientists with the right blend of advanced analytics knowledge and soft skills.

To pass the exam and obtain this top data scientist certification, you’ll need to showcase your data science skills and expertise in areas like analytics and business problems, data science methodology selection, model building, and deployment.


  • Bachelor’s degree + 5 years experience, or
  • Master’s degree + 3 years experience, or
  • 7 years experience with a degree in non-analytics area, or employer must verify soft skills


  • $495 (INFORMS member)
  • $695 (everyone else)

Total Exam Questions: 100

Content: Four-option, multiple-choice questions

Exam Location: In person at designated test center

Duration: Three hours

Expiration: Valid for three years

2. [DASCA] Senior Data Scientist (SDS)

[DASCA] Senior Data Scientist (SDS)

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Why we chose this

Known for being a globally recognized provider of data science accreditations, The Data Science Council of America’s SDS is one of the top data science certifications for ambitious data scientists with at least four years of experience.

Depending on your experience and education, you can choose from four tracks for DASCA’s Senior Data Scientist (SDS) credential.

Regardless of the track you choose, you’ll need to demonstrate your knowledge of data science applications for business, the functional framework for data science, data science essentials, and more to pass the exam.


  • Track 1: Bachelor's degree in computer science (or related field) +5 years experience
  • Track 2: Master's degree in computer science (or related field) +4 years experience
  • Track 3: Bachelor's degree from DASCA-recognized institution, +3 years experience
  • Track 4: Master's degree from a DASCA-recognized institution, +3 years experience

Cost: $775 (all tracks)

Total Exam Questions: 85

Content: Multiple-choice, single-answer questions

Duration: 100 minutes

Exam Location: Online

Expiration: Valid for 5 years

3. [DASCA] Principal Data Scientist (PDS)

[DASCA] Principal Data Scientist (PDS)

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Why we chose this

If you’re a lead data scientist in your organization that’s known for technical skills and leadership qualities, then the Principal Data Scientist (PDS) from DASCA is one of the best certifications in data science for you. Much like the SDS, four different tracks are available for PDS candidates.

Each track requires you to complete three graded assessments to demonstrate advanced skills in statistics, data analytics, business intelligence, and more. However, those that follow tracks 2 or 4 will also need to pass a graded exam in addition to these assessments.

On the plus side, once you’ve completed the hard work to achieve this certification, it does not expire! You just need to maintain your professional achievement record every five years.


  • Track 1: invite-only for data science professionals with an impressive career track record and +10 years experience. Most also have a Ph.D. or Master’s degree in data science (or related fields)
  • Track 2: employer sponsorship, Bachelor's degree in computer science, data science, or related fields, and +10 years experience
  • Track 3: SDS certified, Master’s degree in computer science, data science, or related fields, and +10 years experience
  • Track 4: open to anyone with a Master's degree in computer science, data science or related fields, +10 years experience, or +8 years experience with Ph.D.


  • Track 1: $850 (invite-only)
  • Track 2: $1250 (employer-sponsored)
  • Track 3: $750 (upgrade from SDS)
  • Track 4: $1450 (everyone else)

Total Exam Questions: 100

Content: Multiple-choice, single-answer questions

Duration: 100 minutes

Exam Location: Online

Expiration: Update professional achievements every 5 years

4. [SAS] Data Science Certification

[SAS] Data Science Certification

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Why we chose this

This certification is somewhat unique, as it blends online course material, coursework, and graded exams in three data science areas, culminating in the Data Science Certification.

This is an excellent route for aspiring data scientists without a degree or minimal professional experience.

By studying data curation and linking this with either advanced analytical methods or AI & machine learning, you can prove your competency in two disciplines and a range of data science tools on your way to achieving this certification.


  • Familiar with SAS programming basics
  • Familiar with data manipulation methods
  • Familiar with SQL


  • $1,295 per year, per sub-course (12-month material access), includes 1-3 exam vouchers (depends on route)
  • $180 - $250 per exam (price & number of exams depends on route)

Total Exam Questions: Typically 50-55 (per exam)

Content: Multiple-choice, short-answer questions, or interactive questions

Duration: Typically 100 minutes (per exam)

Exam Location: Online

Expiration: No expiry for most exams, but check individual exam

5. [The Open Group] Open Certified Data Scientist (Open CDS)

[The Open Group] Open Certified Data Scientist (Open CDS)

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Why we chose this

Unlike most certifications, this option does not require written exams but combines a written application and peer interviews to demonstrate your skill and competence. If this approach appeals, then the CDS is probably the best data science certification for you.

Depending on your experience level, you can aim for one of three levels: certified, master certified, or distinguished data scientist.

This certification requires you to complete milestone assessments resulting in milestone badges. The number of badges you need increases with each level.

Prerequisites: Demonstrable experience as a data scientist


  • Milestone badges: $50 - $300 (number of badges depends on the level) 
  • Certification fee: Level 1: $400, Level 2: $500, and Level 3: $550
  • Total Cost:
    • Level 1: $1100
    • Levels 2 & 3: $1500

Location: Online or in-person

Duration: Self-paced

Expiration: Valid for 3 years

6. [Microsoft Certified] Azure Data Scientist Associate

[Microsoft Certified] Azure Data Scientist Associate

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Why we chose this

If you’re a data scientist that just happens to be an Azure wizard, then this certification makes a lot of sense for you.

You’ll need to have demonstrable expertise in applying data science and machine learning (ML) techniques with Azure, including data exploration, training machine learning models, and managing scalable ML solutions. Focusing on some of the infrastructure aspects of data science, this blends some of the skills of a data engineer.

If you’re not 100% sure whether you’re ready to sit the exam, then you can take advantage of free online data science course materials provided by Microsoft, or you could even opt for a paid option that is instructor-led. After passing the exam, you’ll also receive a digital badge for your online resume.

Prerequisites: Demonstrable experience using Azure for data science

Cost: $165 (exam only)

Total Exam Questions: 40-60 questions

Content: Multiple-choice or gap-fill

Duration: 120 minutes

Exam Location: Online

Expiration: No expiry

7. [Microsoft Certified] Azure AI Fundamentals

[Microsoft Certified] Azure AI Fundamentals

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Why we chose this

Another offering from Microsoft is a beginner-friendly certification for data scientists interested in AI.

Being a fundamental level certification, you’re not expected to have a wealth of real-world experience using Azure to perform machine learning (ML) or AI tasks.

Depending on your experience, it’s recommended that you use Microsoft’s free supplementary materials to either learn the necessary skills needed to sit the exam or refresh your memory.

Some areas you can expect to be examined include describing AI workloads, ML fundamentals, computer vision, and NLP on Azure. Interestingly, these cloud infrastructure aspects of data science overlap with some of the skills of a data engineer. 

Once you’ve passed, you’ll have a certification and digital badge from an industry-recognized provider. 

Prerequisites: Designed for beginners, but recommended to study the free materials.

Cost: $99 (exam only)

Total Exam Questions: 40-60 questions

Content: Multiple-choice, multiple-answer, or drag and drop

Duration: 60 minutes

Exam Location: Online

Expiration: No expiry

8. [Columbia University] Certification of Professional Achievement in Data Sciences

[Columbia University] Certification of Professional Achievement in Data Sciences

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Why we chose this

Provided by a world-class educational institution, this certification from Columbia University integrates online training via four data science courses that cover data science algorithms, probability and statistics, machine learning, and exploratory data analysis.

Being a university certification, the required knowledge level leans more toward theoretical than practical, with each course needing an understanding of calculus, linear algebra, and programming.

Prerequisites: Calculus, linear algebra, and programming skills

Cost: $395 technology fee + course cost (check directly with the university)

Duration: Typically 12 months

Exam Location: Online or on campus

Expiration: No expiry

9. [edX] HarvardX Data Science Professional Certificate

[edX] HarvardX Data Science Professional Certificate

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Why we chose this

HarvardX is an online course provider from Harvard University, so it stands to reason that the course content will be second to none.

Provided in partnership with edX, this is an introductory course for data science fundamentals, including data mining and data visualization, probability and statistics, machine learning, and the fundamentals of the R programming language. You’ll also experiment with real-world case studies and data sets in data science projects.

This is one of the best data science certificate programs for aspiring data scientists to teach themselves the foundational skills of the discipline in their own time. If you do opt for this route, it may be helpful to look for other supplementary materials, including data science books.

Once completed, you’ll have one of the most respected data science certificates from one of the world’s most credible education providers for your resume.

Prerequisites: Designed for beginners

Cost: $990.90

Duration: Typically 12 months (3 hours per week)

10. [Turing College] Data Science Certification Program

TensorFlow 2 for Deep Learning Specialization

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Key Information

Course Instructor: Various

Prerequisites: English and 15-30 hours of dedicated work each week

Duration: 8-12 Months

Free or Paid: Paid

Certificate: Yes

Enrolled Students: 500k+

Difficulty: Intermediate

Rating: 4.7/5

Why we chose this course

As we evaluated this data science career program, we realized the enormous value of working with professionals in the field. Turing College offers certifications for their graduates, but the real value comes from the one-on-one mentorship, interview prep, and help finding a job with your new skills.

This data science certification program is fully online, and it offers real-world benefits after you graduate. We rarely see a data science program boast these types of hiring rates. It ranks highly for our recommended data science certifications.

Perhaps most importantly, more than 96% of graduates from Turing College programs land jobs within six months of graduation.

That shouldn't be too surprising. The program offers one-on-one mentorship, mock interviews, and help with salary negotiation. Alongside the certification itself, there's real value to this data science program.

Prerequisites: Designed for beginners

Cost: about $5,800

Duration: 8-12 months

11. [Coursera] IBM Data Science Professional Certificate

[Coursera] IBM Data Science Professional Certificate

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Why we chose this

Aimed at absolute beginners, this data science certificate program is designed to be accessible to anyone with a passion for data science.

As the final option in our list and one of the best data science certificates, this is a solid choice for newcomers to develop essential skills while obtaining a well-respected certificate (and digital badge) from industry experts IBM in partnership with Coursera. 

Being made up of 9 different online sub-courses, this data science specialization course will teach you about Python, SQL, data analysis and visualization, statistics, machine learning, and more.

You’ll also put these skills to work with hands-on exercises with the IBM cloud and real data sets, meaning you’ll have some actual content to add to your portfolio. It’s no stretch, therefore, to say that this may be the best certificate in data science for complete beginners.

Prerequisites: Designed for beginners

Cost: $59/month or $399 annually for Coursera Plus

Duration: Typically 11 months (4 hours per week)

Data Science vs. Data Analytics

While they’re often on the same Data team within an organization, there are some distinct differences between data scientists and data analysts.

Data scientists often work with structured and unstructured data to find interesting patterns or insights via sophisticated data techniques, machine learning, and predictive modeling.

Data analysts typically work with structured data to address real-world business problems using popular programming languages like SQL, R, or Python, data visualization software, and statistical analysis.

Final Thoughts

So there you go, the 10 best data science certifications in 2023, including a range of data science certifications for juniors and experienced professionals alike. 

Whether you’re just starting out in data science or you’re a senior data scientist that’s leading a division, each of the data science certifications we’ve shared can show your current or future employer that an industry-recognized body has validated your data science skills.

Whichever data science certification you choose, we wish you the best of luck with your exam and data science career!

Are you just starting your data science journey or unsure how where to start? Check out:

Dataquest's Career Path for Data Science with Python

Frequently Asked Questions

1. Which Certification Is Best for Data Science?

This depends on your experience level, education, and eligibility for the various data science certifications.

If you have more than five years of experience, consider the CAP, SDS from DASCA, or the Open CDS. If you have less experience or you’re new to the field, focus on the certificates we’ve included as a stepping stone toward a certification in the future.

2. Are Certifications in Data Science Worth It? 

This depends on your career goals, but by and large, a certification will enhance your resume for both your current role and any future roles you want to apply for.

3. Can You Be a Data Scientist Without Coding?

It would be almost impossible to become a true data scientist without coding since most of a data scientist’s time is spent using various programming languages to explore data, run models, produce visualizations, etc. 

4. Why Are Data Science Professionals in Demand?

In the era of big data and artificial intelligence, there is a massive demand for data scientists to develop processes and machine learning models to make sense of all that data and help organizations extract value from their data.

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By Simran Kaur Arora

Simran works at Hackr as a technical writer. The graduate in MS Computer Science from the well known CS hub, aka Silicon Valley, is also an editor of the website. She enjoys writing about any tech topic, including programming, algorithms, cloud, data science, and AI. Traveling, sketching, and gardening are the hobbies that interest her.

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Disclosure: is supported by its audience. When you purchase through links on our site, we may earn an affiliate commission.

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