In recent times, Data Scientist has emerged as one of the hottest career options in the Information Technology Sector. Companies are using data like never before and are eager to recruit data scientists who can make sense of all the information which different businesses collect. A candidate looking for lucrative options in the field, or the ones who wish to stand against the ever-increasing competition, a Data Science Certification holds importance.

Data Science Certification courses are the best way to gain an edge over others as they help developing skills hard to find in the whole industry. It helps recruiters and managers to churn the cream from the plethora of applications for the post of Data Science. Hence, getting a Data Science Certification is important.

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Verified 2026 Updates:
  • Data scientist is among the top in-demand roles in 2026
  • The IBM Data Science Professional Certificate now costs $59/month on Coursera (updated from $39) and includes 12 courses with a new Generative AI module
  • Average data scientist salary in the USA is $122,000-$128,000 per year (Glassdoor/ZipRecruiter, May 2026)
  • Entry-level roles start at $88,000-$96,000.

What Are the Top Data Science Certification Courses for 2026?

⚡ Quick Answer

In 2026, the top data science certifications include the IBM Data Science Professional Certificate on Coursera, Google Certified Professional Data Engineer, Google Data and Machine Learning, Dell Technologies Data Science Track, and Certified Analytics Professional (CAP). These credentials are recognised by major tech employers and help professionals advance careers in data science and analytics.

  1. IBM Data Science Professional Certificate
  2. Google Certified Professional Data Engineer
  3. Google Data and Machine Learning
  4. Dell Technologies Data Science Track
  5. Certified Analytics Professional (CAP)
  6. Cloudera Certified Associate: Data Analyst
  7. Cloudera Certified Professional: CCP Data Engineer
  8. SAS Certified Advanced Analytics Professional
  9. SAS Certified Big Data Professional
  10. SAS Certified Data Scientist
  11. Microsoft MCSE: Data Management and Analytics
  12. Microsoft Certified Azure Data Scientist Associate
  13. Open Certified Data Scientist (Open CDS)

Some recommended Data Science Certifications with description for 2026

Data Science Course 2026 – Top Online Programmes and SkillsRead →

What Is the IBM Data Science Professional Certificate?

⚡ Quick Answer

The IBM Data Science Professional Certificate on Coursera now includes 12 courses covering Python, machine learning, and a new Generative AI module. It requires no prior experience and costs $59 per month via Coursera. Completion takes approximately 4-6 months. The certificate is shared digitally and does not expire. Financial aid is available for eligible learners.

The IBM Data Science Professional Certificate includes twelve courses covering Data Science Methodology, Python, Databases and SQL, Data Visualization, Machine Learning, and a Generative AI module. The programme has a flexible schedule and takes roughly four to six months to complete. It includes hands-on projects that help you build a portfolio for data science employment.

  1. Cost: $59 per month for a Coursera subscription. Free trial offered for seven days.
  2. Location: Online
  3. Expiration: Does not expire
Data Analytics Courses 2026 – Online Certifications and CareersRead →

What Is the Google Certified Professional Data Engineer Certification?

⚡ Quick Answer

The Google Certified Professional Data Engineer certification tests skills in building and operationalising data systems on Google Cloud Platform. The exam costs $200 and takes approximately 2 hours to complete. It is valid for two years and is highly recognised among cloud computing professionals at companies using GCP infrastructure for large-scale data work.

The Google Certified, Professional Data Science certification, is one of the best-suited certification course for those having a foundation Google Cloud Platform’s knowledge. There will be an exam at the end of the Data Science Certification course of Google Cloud Platform, which will test your designing abilities, building abilities, securing abilities, and machine learning model operationalizing.

  • Cost: $200
  • Duration: 2 hours
  • Validity: 2 years (renewal exam $100)
Top Data Scientist Jobs and Salaries 2026 – Career GuideRead →

What Is the Google Data and Machine Learning Certification?

⚡ Quick Answer

The Google Data and Machine Learning certification covers three tracks: Data Scientists, Data Engineers, and Machine Learning Engineers. It is self-paced, costs $200, and does not expire. The programme tests proficiency in Google Cloud tools for data processing and machine learning pipeline deployment. It suits professionals demonstrating expertise in modern cloud-based data workflows.

The Google Data and Machine Learning certification has three tracks – Data Scientists, Data Engineers, Data Analyst. While Data Analysts focus on garnering insights from Google Cloud Platform, Data Engineering focuses on Machine Learning and Data Engineering Fundamentals. Data scientists, on the other hand, focus on TensorFlow. If you wish to be any of the successful engineers, it is really important to get your hands on the Google Data and Machine Learning Data Science Certification Course.

  • Cost: $200
  • Duration: Self-paced
  • Expiration: Does not expire

What Is the Dell Technologies Data Science Track Certification?

⚡ Quick Answer

The Dell Technologies (formerly Dell EMC) Data Scientist Track includes two exams: Data Science Associate and Data Science Specialist. Each exam costs $230 and is self-paced with no expiration date. The programme covers data science methodology and machine learning. It is widely recognised in enterprise environments using Dell Technologies infrastructure for data-driven operations.

The Dell Technologies Data Scientist Track (EMCDS) has two certification courses – the Data Science Certification for Associate v2, and Data Science Certification for Specialist. Associate Level Data Science Certification focuses on covering the fundamentals of Big Data and Data Science. Once the associate level Data Science Certification is completed, the specialist level Data Science Certification covers topics like natural language processing, Hadoop, Hive, Pig, Advanced analytical methods, and Visualization methods.

  • Cost: $230 per exam
  • Duration: Self-paced
  • Expiration: Does not expire

What Is the Certified Analytics Professional (CAP) Certification?

⚡ Quick Answer

The Certified Analytics Professional (CAP) programme from INFORMS now spans three tiers: CAP-Essentials, CAP-Pro, and CAP-Expert. Exam fees range from $195 (member) or $275 (non-member) for Essentials up to $440 or $640 for Expert. It validates end-to-end analytics skills across the full lifecycle, from problem framing to deployment.

Certified Analytics Professional is a Data Science Certification Course which promises to help convert the data in complex form, to valuable actions and insights. The businesses which look for Data Scientists look for the same thing – to reduce complex data into a simpler form. Individuals who are just starting can begin with the entry-level CAP-Essentials, moving on to the full Certified Analytics Professional credential.

  • Cost: CAP-Essentials $195 member / $275 non-member; CAP-Pro $325 / $460; CAP-Expert $440 / $640
  • Format: Self-paced
  • Provider: INFORMS (certifiedanalytics.org)

What Is the Job Outlook After Data Science Certification?

⚡ Quick Answer

The job outlook for data science professionals is strong in 2026. The average data scientist salary in the USA is $122,000-$128,000 per year, with entry-level roles starting at $88,000-$96,000 and senior positions paying $190,000-$230,000 per year (Glassdoor, ZipRecruiter, May 2026). Key roles include Data Analyst, Data Architect, Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst.

A valid and specialized Data Science Certification can help you qualify for these job roles:

  1. Data Analyst
  2. Data Architect
  3. Data Scientist Jobs
  4. Data Warehousing Jobs
  5. Business Intelligence Analyst
  6. Big Data Jobs
  7. Data Mining Engineer Jobs
  8. SAP Analyst Jobs
  9. Business Analyst Jobs
  10. Business Intelligence Developer