12 data science certifications that will pay off
Location: Online
Duration: Self-paced
Expiration: Five years
Data Science Council of America (DASCA) Principal Data Scientist (PDS)
DASCA offers the Principal Data Scientist (PDS) certification, which includes three tracks for data science professionals w
Location: Online
Duration: Self-paced
Expiration: Five years
Data Science Council of America (DASCA) Principal Data Scientist (PDS)
DASCA offers the Principal Data Scientist (PDS) certification, which includes three tracks for data science professionals with 10 or more years of experience in big data. The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. The exam is designed for seasoned and high-achiever data science thought and practice leaders.
Cost: $850, track 1; $1,250, track 2; $750, track 3; $1,450, track 4
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
IBM Data Science Professional Certificate
The IBM Data Science Professional Certificate consists of nine courses on data science, open source tools, data science methodology, Python, Databases and SQL, data analysis, data visualization, machine learning, and a final applied data science capstone. The certification coursework takes place online through Coursera with a flexible schedule and takes an average of three months to complete, but you’re free to take more or less time. The course includes hands-on projects to help build a portfolio to showcase your data science talents to potential employers.
Cost: Free
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
Microsoft Certified: Azure AI Fundamentals
Microsoft’s Azure AI Fundamentals certification validates your knowledge of machine learning and artificial intelligence concepts, and how they relate to Microsoft Azure services. It’s a fundamentals exam, so you don’t need extensive experience to pass. It’s a good place to start if you’re new to AI or AI on Azure and want to demonstrate your skills and knowledge to employers.
Cost: $99
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
Microsoft Certified: Azure Data Scientist Associate
The Azure Data Scientist Associate certification from Microsoft focuses your ability to utilize machine learning to implement and run machine learning workloads on Azure. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics. You need to be skilled in deploying and managing resources, managing identities and governance, implementing and managing storage, and configuring and managing virtual networks.
Cost: $165
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
Open Certified Data Scientist (Open CDS)
The Open Group Professional Certification Program for the Data Scientist Professional (Open CDS) is an experience-based certification without any traditional training courses or exams. You start at level one as a Certified Data Scientist, then you can move to level two to become a Master Certified Data Scientist and, finally, you can pass the third level to become a Distinguished Certified Data Scientist. Certification requires a three-step process that includes applying for the certification, completing the experience application form, and attending a board review.
Cost: Contact for pricing
Location: On-site
Duration: Varies by level
Expiration: Credentials do not expire
SAS Certified Professional: AI and Machine Learning
The SAS Certified Professional: AI and Machine Learning certification from SAS demonstrates your ability to use open source tools to gain insight from data using AI and analytics skills. The certification consists of several exams that cover topics such as machine learning, natural language processing, computer vision, and model forecasting and optimization. You need to pass the SAS Certified Specialist exams in Machine Learning, Forecasting and Optimization, and Natural Language Processing and Computer Vision to earn the AI and Machine Learning professional designation.
Cost: $180 per exam
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
SAS Certified Advanced Analytics Professional
The SAS Certified Advanced Analytics Professional credential validates your ability to analyze big data with a variety of statistical analysis and predictive modeling techniques. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets. You should also have experience with pattern detection, experimentation in business optimization techniques, and time-series forecasting. The certification requires passing three exams: Predictive Modeling Using SAS Enterprise Miner 14; SAS Advanced Predictive Modeling Using SAS 9.4; and SAS Text Analytics, Time Series, Experimentation, and Optimization.
Cost: $250 for the Predictive Modeling Using SAS Enterprise Miner exam; $180 each for the other two required exams
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
SAS Certified Data Scientist
The SAS Certified Data Scientist certification validates your facility with data curation, advanced programming, advanced analytics, and AI and machine learning. It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools. The certification requires earning the Data Curation Professional or Advanced Programming professional certifications, and then earning either the Advanced Analytics or AI & Machine Learning Professional certifications.
Cost: $180 per exam
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
TensorFlow Developer Certificate
The TensorFlow Developer Certificate program is a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through building and training models using TensorFlow. The exam tests your knowledge of and ability to integrate machine learning into various tools and applications. To pass the exam, you need to be experienced with the foundational principles of ML and deep learning, building ML models, image recognition algorithms, deep neural networks, and natural language processing.
Cost: $100 per exam
Location: Online
Duration: Self-paced
Expiration: Credentials do not expire
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