11 Best Data Science Certifications To Get Hired [2024 Update]

In this article, I share my picks for the best data science certification in 2024.

Whether you’re looking to land a job as a data scientist or want to boost your career with an enhanced data science resume, I’ve included data science certification options for juniors and experienced pros alike.

As we jump into the start of 2024 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 is to earn a data science certification. 

Often challenging to achieve, a data science certification can validate your data science skills and show future employers that you have what they’re looking for.

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

So, if you’re ready, let’s dive into the best data science certifications, including the skills you need to pass the exam, exam formats, and more.

Featured Data Science Certifications [Editor's Picks]

• [DASCA] Senior Data Scientist (SDS)
• [DataCamp] Data Scientist Certification Associate Level
• [The Open Group] Open Certified Data Scientist (Open CDS)

The Best Data Science Certifications in 2024

1. [DASCA] Senior Data Scientist (SDS)

Why We Chose This Data Science Certification

Taking the top spot on my list, the Data Science Council of America’s (DASCA) Senior Data Scientist (SDS) certification is a standout choice for experienced professionals aiming to excel in the data science field.

This data science certification is designed for anyone with substantial experience (4+ years) in research and analytics, making it ideal for anyone wanting to transition into senior data scientist roles in large organizations.

For me, the SDS stands out because of its focus on real-world data science applications, rigorous examination of data science principles, and global recognition.

If you plan to make a mark in the data science field, this is a significant credential to enhance your resume.

Main areas examined:

• Data Science Applications in Business: Focuses on practical business applications of data science.
• The Functional Framework of Data Science: Covers the underlying principles and frameworks of data science.
• Driving Business Through Big Data Analytics: Emphasizes the role of big data analytics in business decision-making.
• Building Pan-Organization Support: Involves strategies for implementing data science across different organizational structures.
• Data Science Essentials for Data Scientists: Fundamental concepts and skills necessary for data science professionals.
• Big Data Analytics Essentials for Data Scientists: Key aspects of big data analytics relevant to data scientists.
• Advanced Data Science for Data Scientists: More sophisticated data science topics and methodologies.

Prerequisites: 

• 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

Price: $775 (all tracks)

Validity Period: 5 years

Total Exam Questions: 85

Content: Multiple-choice, single-answer questions

Exam Duration: 100 minutes

Exam Location: Online

Passing Score: 65%

Who is it best for? Experienced professionals in data science or related fields who want to take on senior roles within large organizations.

2. [DataCamp] Data Scientist Certification Associate Level

Why We Chose This Data Science Certification

The next choice on my list is a newer entry from DataCamp. Widely regarded as one of the best places to learn data skills, their Data Scientist Certification is a fantastic option for anyone taking a DataCamp course in data science.

It's also available in two flavors, with associate level and professional levels, depending on your experience and skill level.

What I really like about the associate-level certification is that it's truly aimed at both professionals with a wide range of existing skills and beginners who are just starting out.

The idea is that you can start from scratch with DataCamp's range of interactive data science courses before rolling these skills over into the certification program, which requires you to pass both timed and practical exams.

I should also point out that the certification cost is bundled into the premium subscription, so there are no additional costs after getting yourself set up to take their courses.

Hackr readers can also access an exclusive 25% discount on the annual Learn Premium and Teams subscriptions.

I'm a big fan of their approach because it means complete beginners can not only learn the technical skills they need to pursue data science, but they'll also be able to level up their resume with a bonafide certification rather than a standard course completion certificate.

Plus, the certification examination criteria have also been designed to focus on skills that are truly relevant to the job market. This is great to see, as it means you’re gaining a certification that proves you have the in-demand skills required for today’s data jobs.

Main areas examined:

• Exploratory data analysis and data visualizations in R or Python

• Data management & data manipulation in R or Python

• Statistical experimentation and fundamentals in R or Python

• Data import & data cleaning in R or Python

• Machine learning fundamentals in R or Python

• R  or Python Programming for data science.

• Practical business problem to validate data, calculate metrics, and fit models.

Prerequisites: Beginners will need to take DataCamp's data science courses to prepare adequately.

Price: Requires DataCamp premium subscription at $25 per month

Validity Period: 2 years

Total Exam Questions: N/A

Content: 2x timed exams & 1x practical exam.

Exam Duration:

• DS101: 2 hours with 2 attempts
• DS102: 2 hours with 2 attempts
• Practical exam: 30 days and instant result

Exam Location: Online.

Passing Score: N/A

Who is it best for? Beginners and professionals who want to validate their data science skills in a practical and business-facing setting.

3. [DASCA] Principal Data Scientist (PDS)

Why We Chose This Data Science Certification

Taking the third spot on my list, the DASCA Principle Data Scientist (PDS) certification is perfect for highly experienced data scientists who want to establish themselves as influential leaders and innovators in the field.

Uniquely, this data science certification is tailor-made for professionals with a strong foundation in data science and who are now looking to lead large-scale projects and teams.

The theme is constant here; this is designed for you if you’re a lead data scientist in your organization known for technical skills and leadership qualities.

So, if you aspire to be at the forefront of data science technology and innovation while also influencing business and strategic decisions in your organization, the PDS is the perfect choice.

Main areas examined:

• Advanced Data Science Concepts: In-depth knowledge and application in various business and technology domains.
• Leadership in Data Science: Skills and knowledge to lead data science teams and projects effectively.
• Strategic Business Impact: Understanding of how data science drives strategic decisions and outcomes in organizations.

Prerequisites: 

• Track 1: Invite-only for data science professionals with an impressive career track record and +10 years experience, along with 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 a Ph.D.

Price:

• Track 1: $850 (Invite-only)
• Track 2: $1250 (Employer-sponsored)
• Track 3: $750 (Upgrade from SDS)
• Track 4: $1450 (Everyone else)

Validity Period: 5 years

Total Exam Questions: 100

Content: Multiple-choice, single-answer questions

Exam Duration: 100 minutes

Exam Location: Online

Passing Score: 65%

Who is it best for? Senior data science professionals who are seeking to solidify their expertise as industry leaders and innovators.

4. [DataCamp] Data Scientist Certification Professional Level

Why We Chose This Data Science Certification

Next up is the professional-level Data Scientist Certification from DataCamp.

As I mentioned earlier, DataCamp has already forged a strong reputation for teaching data skills, but it's great to see them offering industry-recognized certifications for professionals who prefer an interactive and fully online certification process.

This option is designed for experienced professionals with existing skills and 2 or more years of experience, although ambitious juniors can stretch themselves as long as they're willing to learn a wider range of data skills, including SQL.

As a professional-level certification, the expectations are higher, which is why one of the two timed exams is more challenging than the associate level. The practical exam is also more challenging and will require you to record a presentation where you share findings and convey data stories.

If you're not sure whether you're ready for this certification, DataCamp has an assessment you can take to get a feel for where you stand.

Just as with the associate version, the certification cost is again bundled into the premium subscription, so you don't need to pay any additional costs after getting yourself set up to take their courses.

Plus, you still have time to take advantage of their New Year sale to get a 50% discount until the end of January.

Main areas examined:

• Exploratory data analysis and data visualizations in R or Python

• Data management & data manipulation in R or Python

• Data management & data manipulation in SQL (PostgreSQL)

• Statistical experimentation and fundamentals in R or Python

• Data import & data cleaning in R or Python

• Machine learning fundamentals in R or Python

• R  or Python Programming for data science.

• Practical business problem to create visualizations and convey stories with data by presenting written and verbal findings.

Prerequisites: 2+ years of data science experience, or you'll need to take DataCamp's data science and SQL courses to prepare adequately.

Price: Requires DataCamp premium subscription at $25 per month

Validity Period: 2 years

Total Exam Questions: N/A

Content: 2x timed exams & 1x practical exam.

Exam Duration:

• DS101: 2 hours with 2 attempts
• DS201: 1 hour with 2 attempts
• Practical exam: 30 days and reviewed by a human panel.

Exam Location: Online.

Passing Score: N/A

Who is it best for? Professionals who want to validate their data science skills in a practical and business-facing setting.

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

Why We Chose This Data Science Certification

The Open Certified Data Scientist (Open CDS) program from The Open Group is very unique, as unlike most data science certifications, it does not require written exams.

Instead, you'll need to combine a written application and peer interviews to demonstrate your skill and competence.

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

You'll then need to complete milestone assessments, which result in milestone badges. As you'd expect, the number of badges you need increases with each difficulty level.

Main areas examined:

• Hands-on data science projects and applications.
• Real-world problem-solving using data science tools and methodologies.
• Vendor-neutral and practical approach to data science.

Prerequisites: Demonstrable experience as a data scientist

Price: 

• 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

Validity Period: 3 years

Total Exam Questions: N/A

Content: Peer-reviewed, practical assessment rather than traditional exams.

Exam Location: On-site peer review process.

Exam Duration: Self-paced

Passing Score: N/A

Who is it best for? Data science professionals seeking a customizable and experience-based credentialing process, emphasizing practical skills and project work.

6. [SAS] Data Science Certification

Why We Chose This Data Science Certification

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

I really like this, as it's an excellent route for aspiring data scientists who don't have a degree or perhaps have minimal professional experience.

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

Now, of course, this is best suited to you if you're already using or plan to use the SAS range of analytics, data management, and business intelligence software.

Main areas examined:

• Data Curation: Techniques for preparing big data for analysis.
• Advanced Programming: Skills in advanced SAS programming and data manipulation.
• Advanced Analytics, AI, and Machine Learning: Comprehensive knowledge in analytics, artificial intelligence, and machine learning.

Prerequisites: 

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

Price:

• $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)

Validity Period: No expiry for most exams, but check individual exam

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

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

Exam Duration: Typically 100 minutes (per exam)

Exam Location: Online

Passing Score: Varies by exam

Who is it best for? Data science professionals who are looking to validate their expertise in using SAS for advanced analytics, AI, and machine learning.

7. [Microsoft Certified] Azure Data Scientist Associate

Why We Chose This Data Science Certification

If you’re a data scientist who just happens to be an Azure wizard, then Microsoft's Azure Data Scientist Associate certification might make a lot of sense for you.

I'd also highly recommend this for any professionals who want to specialize in Azure's cloud-based data science solutions.

You’ll need 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.

This data science certification also focuses on some of the infrastructure aspects of data science, so it almost 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.

Main areas examined:

• Setting up Azure machine learning environments.
• Running data experiments and training predictive models.
• Managing and optimizing machine learning models on Azure.

Prerequisites: Demonstrable experience using Azure for data science

Price: $165 (exam only)

Validity Period: No expiry

Total Exam Questions: 40-60

Content: Multiple-choice or gap-fill

Exam Duration: 120 minutes

Exam Location: Online

Passing Score: 70%

Who is it best for? Data scientists who are looking to demonstrate their expertise in utilizing Azure for machine learning and advanced analytics.

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

Why We Chose This Data Science Certification

The Certification of Professional Achievement in Data Sciences from Columbia University is an esteemed certification program designed for anyone who wants to develop a strong academic foundation in data science.

Unlike the other options on my list, this certification is especially beneficial for newcomers to the field who want to advance their careers with a formal qualification from a top-tier university.

Equally, rather than being a straight-up exam, it's actually a 12-month educational program that covers data science algorithms, probability and statistics, machine learning, and exploratory data analysis.

Of course, the net result after passing the required assessments and coursework is the certification award.

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.

This means it might be suitable for everyone, but if you're eyeing up a career switch and you meet the prerequisites, it might be worth your consideration.

Main areas examined:

• Fundamental data science concepts.
• Machine learning algorithms.
• Probability and statistics.
• Exploratory data analysis.

Prerequisites: Bachelor's degree and basic knowledge of programming, statistics, and linear algebra.

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

Validity Period: No expiry

Total Exam Questions: N/A

Content: Combination of lectures, coursework, and projects focused on data science.

Exam Duration: 12-month program

Exam Location: Online or Columbia University Campus, New York City.

Passing Score: N/A

Who is it best for? Individuals seeking a comprehensive, academically rigorous introduction to data science from a prestigious university.

9. [Turing College] Data Science Certification Program

Why We Chose This Data Science Certification

The Data Science Certification program at Turing College is another innovative option, as it's an educational course that's designed to give you a comprehensive and practical approach to data science, not to mention a well-respected certification.

This is also entirely self-paced, and I really like that it combines hands-on projects with peer-to-peer learning.

Once again, if you're a newcomer who wants to make a career switch or you want to jumpstart your data science career, this program offers enormous value, not to mention the fact that you'll get to work with professionals in the field.

Just complete the 8-12 month program, and Turing College will award you with an industry-recognized certification. But perhaps the real value comes from the one-on-one mentorship, interview prep, and help finding a job with your new skills.

Plus, more than 96% of graduates from Turing College programs land jobs within six months of graduation. We rarely see a data science program boast these types of hiring rates for job-ready graduates, making it one of our favorites when curating our recommended data science certifications.

Main areas examined:

• Python programming for data analysis.
• Statistical analysis and machine learning techniques.
• Real-world data science projects.

Prerequisites: Designed for beginners with no prior experience

Price: approx. $5800

Validity Period: No expiry.

Total Exam Questions: N/A as the focus is on project work.

Content:  Emphasizes practical skills through projects and collaborative learning.

Exam Duration:  8-12-month program

Exam Location: Online.

Passing Score: N/A

Who is it best for? Anyone looking for a project-based and collaborative learning environment to develop real-world data science skills.

10. [edX] HarvardX Data Science Professional Certificate

Why We Chose This Data Science Certification

First things first, this is not actually a data science certification, it's a certificate. But, if you're brand new to data science and you're looking for an industry-recognized credential to enhance your resume, why not choose HarvardX?

If you're not familiar with them, this 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.

Main areas examined:

• Basic data science principles.
• R programming language.
• Statistical concepts and data analysis techniques.
• Machine learning and data visualization.

Prerequisites: Designed for beginners

Price: $990.90

Validity Period: No expiry.

Total Exam Questions: N/A

Content: Course-based learning with practical assignments and projects.

Exam Duration: Typically 12 months (3 hours per week)

Exam Location: Online.

Passing Score: N/A

Who is it best for? Beginners looking to gain a solid foundation in data science from a prestigious university.

11. [Coursera] IBM Data Science Professional Certificate

Why We Chose This Data Science Certification

Rounding out my list is another data science certificate, rather than a true certification. But, if you are an absolute beginner, this data science certificate program has been designed to be accessible to anyone with a passion for data science. Plus, you get the benefit of industry experts from 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 data science certificate for beginners.

Main areas examined:

• Data science fundamentals.
• Data analysis and visualization with Python.
• Machine learning and data science methodologies.

Prerequisites: Designed for beginners

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

Validity Period: No expiry.

Total Exam Questions: N/A

Content: Course-based learning with practical assignments and projects.

Exam Duration: Typically 11 months (4 hours per week)

Exam Location: Online.

Passing Score: N/A

Who is it best for? Beginners beginners seeking to learn data science fundamentals from an industry leader.

What Is a Data Science Certification?

Not to be confused with data science certificates, which are often awarded after you’ve attended and completed a data science course, data science certifications are industry-recognized credentials for verifying your competence and expertise within the field of data science.

To get a data science certification, you may need to meet prerequisites before attending and passing a data science certification exam or peer interview that tests your skills and knowledge in various aspects of data science. 

It’s also essential to point out that a data science certificate is much easier to get, and it can be a great stepping stone on your way to learning data science via a data science course or boot camp. However, this article focuses on data science certifications awarded by a recognized body.

Do I Need To Know AI To Become a Data Scientist?

One thing is for sure: we're all slowly becoming acquainted with the various forms of AI in our professional and personal lives.

But do you need to be an AI wizard to excel in data science in 2024? Interesting question: let's dive deeper.

In the constantly evolving landscape of data science, the integration of artificial intelligence has become increasingly significant, and there is no doubt about that.

And while data science and AI are distinct fields, their intersection is becoming hard to ignore.

As you probably already know, data scientists are tasked with the responsibility of extracting actionable insights from data.

This involves not just the manipulation of structured and unstructured data but also the application of advanced analytical techniques. AI, particularly in the form of machine learning, plays a pivotal role in this process.

This enables us as data scientists to create predictive models that can learn from data, thereby enhancing the accuracy and effectiveness of their analyses.

Understanding AI principles, especially machine learning algorithms, can also immensely benefit us as data scientists.

This knowledge allows us to automate complex data processes, optimize predictive models, and implement solutions that are both innovative and efficient.

And while not every data science role will demand deep expertise in AI, a foundational understanding is becoming increasingly important in the field.

If you're curious to learn more about the transformative power of generative AI across various industries, I'd highly recommend attending DataCamp's free digital conference, RADAR: AI Edition in June 2024.

This event is a fantastic opportunity to discover how businesses and individuals can unlock their full potential with AI. You'll hear from industry leaders like Megan Finck, the Global Head of Talent Acquisition (Data & AI) at Boeing, and Sadie St Lawrence, the CEO of Women in Data. Nnamdi Iregbulem, Partner at Lightspeed Venture Partners, and Eric Seigel, Founder of Machine Learning Week and bestselling author, will also share their insights.

Additionally, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Julien Simon, Chief Evangelist at Hugging Face, will discuss the future of AI and its applications. Don't miss this chance to learn from experts about the latest advancements and strategies in AI.

Can I Really Get A Job With A Data Science Certification?

This is an important question because you’d probably want to earn a data science certification to land a job or promotion in the field.

This is particularly important for newcomers who often find that getting their foot in the door is one of the hardest parts.

Now, of course, there are no guarantees that getting a data science certification will land you a job, but there can be no doubt that professionally validating your data skills can be a huge step toward making that happen.

Moreover, if you're brand new, you could even opt for one of the certification programs I've included, as these offer the chance to gain practical skills through hands-on projects and real-world case studies, which are highly valued by employers.

Plus, you'll also get career support services like professional networking opportunities, job placement assistance, and access to exclusive job boards. These types of resources can be instrumental in bridging the gap between education and employment.

So, in short, yes, you really can get a job with a data science certification! But remember to work hard and take advantage of all the help that’s on offer.

Getting a data science certification can really pay off these days. With certifications, you'll be qualified for many more job opportunities. Companies need data talent badly but can't find enough people with the right training. Those with certs on their resumes stand out and may command higher salaries too. Bottom line - certifications amplify your abilities and career outlook through comprehensive, organized education. They provide a smart path to get ahead in this field.

- Jed Macosko, BS from MIT, Ph.D. from Berkeley: Research Director at Academic Influence

Choosing the Best Data Science Certification

If you’re not quite sure which data science certification is best for you, consider the following criteria:

• Required Skills: Do you have the necessary technical and theoretical skills?
• Cost: Can you afford the investment for the exam and potential practice tests?
• Renewal Period: How long will your certification be valid? Do you need to renew regularly or at all?

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 excellent ways 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 January 2024. 

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.

Wrapping Up: The Best Data Science Certification

So there you have it! That sums up the best data science certifications in 2024, including data science certification options for juniors and experienced professionals. 

Whether you’re just starting out in data science or you're leading a data team, each data science certification I've included can show your current or future employer that an industry-recognized body has validated your skills.

Whichever data science certification you choose, I wish you the best of luck with your 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 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.

People are also reading:

• How to Become a Data Scientist?
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• Python for Data Science
• Best Python Books

References

1. Bureau of Labor Statistics, U.S. Department of Labor. Occupational Employment and Wages, May 2022, 15-2051 Data Scientists [Internet]. [updated 2021 Mar 31; cited 2024 Jan 15]. Available from: https://www.bls.gov/oes/current/oes152051.htm