Fortune 500 companies are becoming increasingly data-driven, and they are keen to recruit data specialists who can interpret the data they acquire. Data science is a branch of computer science that is a combination of three fields: data engineering, maths, and statistics. If you’re wondering what is computer science course, then let’s define it.
Computer science course refers to the study of various trending technologies like artificial intelligence, computer systems, and networks, security, database systems, human-computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics, and theory of computing.
Furthermore, if you wish to pursue data science as your career, then you need to take up some certification courses. Data science certification courses are a wonderful way to stand out since they allow you to confirm your talents, letting employers know exactly what they’ll get if they hire you.
In this article, we have listed the top 5 Data Science Certification Courses.
Top 5 Data Science Certification Course
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CAP — Certified Analytics Professional (CAP®)
The Certified Analytics Professional Certification test is first on the list. CAP® is the world’s most prestigious professional accreditation for data scientists and analysts. If you fulfill the high criteria of CAP® and pass the tough exam, you’ll be in for a treat since you’ll be able to pursue rich employment options. This credential is geared for analytics professionals in their early to mid-career stages.
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Dell EMC Proven Professional Certification Program
The Dell EMC Data Scientist Associate (EMCDSA) is an entry-level certification that covers the fundamentals of big data and data analytics. You’ll be called a “Proven Professional” once you complete this data scientist certification. Managers and recruiters can now see that you possess the abilities they want in a data scientist.
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SAS Certified AI & Machine Learning Professional
The SAS AI & Machine Learning Professional credential, unlike the other certifications we’ve reviewed so far, is earned by completing three examinations that assess three separate skill sets. The following are the three exams you must pass to receive the certificate:
- Your ability to develop, train, assess performance, and optimize supervised machine learning models will be examined in this machine learning exam.
- Test for forecasting and optimization. This test will assess your abilities to manage, visualize, and design data pipelines, as well as solve optimization challenges.
- Test your NLP and computer vision skills.
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Microsoft Certified: Azure Data Scientist Associate
The Azure Data Scientist Associate Microsoft Certification is next on the list. The Azure Data Scientist is responsible for implementing and running machine learning workloads on the Azure Cloud Platform using their data science and machine learning skills.
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Cloudera Certified Associate (CCA) Data Analyst
The Cloudera Data Analyst certification validates your ability to prepare, organize, and analyze data in the Cloudera CDH environment. You’ll be able to import MySQL data into Hadoop, build and edit tables, and produce reports using select and join queries.
Conclusion
If you ask any data scientist if they required a data science certification course to get their job, the majority will tell you that they came into data science from a non-technical background with a desire to learn more. Even though you can become a data scientist and get a good job by self-studying the core concepts of data science and creating real-life-sized projects or projects that can be easily applied to real-life data, having a certificate can sometimes help your portfolio stand out and attract recruiters’ attention.