Choosing the right data services company is crucial for your business’s success. While expertise and experience are important, certifications provide an objective benchmark to judge a company’s skills, credibility, and commitment to industry standards.
Whether you’re seeking help with cloud migration, data science services, advanced analytics, or AI initiatives, understanding the key certifications a company holds can save you from costly mistakes and ensure your project is in the right hands.
Here’s a guide to the essential certifications you should look for when evaluating a data services and data science company.
Why it matters:
Data security is a non-negotiable priority. ISO 27001 certification assures that a company has an internationally recognized framework to manage information security risks—especially critical when handling sensitive data science projects.
Why it matters:
If your project involves cloud-based data storage, analytics, or data science initiatives, an AWS Certified Partner demonstrates proven expertise across Amazon’s powerful services.
Relevant certifications:
AWS Certified Solutions Architect
AWS Certified Big Data – Specialty
AWS Certified Data Analytics – Specialty
Why it matters:
For businesses leveraging Microsoft technologies, Azure certifications reflect strong capabilities in cloud services, data science workloads, and machine learning.
Important credentials:
Microsoft Certified: Azure Data Scientist Associate (ideal for data science certificate validation)
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Data Analyst Associate (Power BI focus)
Why it matters:
Google Cloud offers powerful tools for data science and big data analytics. A certified Google Cloud Partner brings expertise in large-scale data engineering and AI/ML projects.
Top certifications:
Google Professional Data Engineer
Google Professional Machine Learning Engineer
Looker certifications (for BI and data visualization)
Why it matters:
Snowflake’s cloud-native platform powers many data science and big data initiatives. Certified partners have deep knowledge in data warehousing, lakehouse architecture, and real-time analytics.
Why it matters:
Visualization plays a vital role in data science workflows. A Tableau Certified Professional can design intuitive, dynamic dashboards to bring your data insights to life.
Relevant certifications:
Tableau Desktop Certified Professional
Tableau Server Certified Associate
Why it matters:
SAS certifications are among the most respected in the data science world. A company with SAS-certified staff shows mastery in predictive analytics, AI modeling, and large-scale data processing.
Top certifications:
SAS Certified Data Scientist (an advanced data science certificate)
SAS Advanced Analytics Professional
Why it matters:
Offered by TDWI, CBIP certification demonstrates proficiency in integrating business intelligence with data science to deliver actionable insights and strategic planning.
Why it matters:
Strong data governance is foundational for any data science project. CDMP certification confirms expertise in managing structured data for analytics, ensuring data quality and compliance.
Why it matters:
While more focused on IT service management, ITIL certification supports smoother implementation of data science solutions by promoting streamlined, scalable IT operations.
While certifications alone don’t guarantee success, they separate serious, professionally equipped companies from the rest.
Especially when dealing with complex data science projects, partnering with a company holding relevant certifications and data science certificates ensures better quality, security, and innovation.
Certified companies typically:
Invest heavily in ongoing employee development
Follow global best practices for data science and IT
Deliver more reliable, scalable, and secure solutions
In today’s fast-evolving world, certifications are more than just a formality—they’re proof of excellence, discipline, and mastery.
Before selecting your next data services or data science partner, take time to review their certifications, including specialized data science certificates that align with your project goals.
Choosing certified experts today means a smarter, safer, and faster tomorrow for your business.
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