- Certified analytics professional (cap)
- Cloudera certified associate (cca) data analyst
- Cloudera certified professional (ccp) data engineer
- Data science council of america (dasca) principal data scientist (pds)
- Data science council of america (dasca) senior data scientist (sds)
- Dell emc data science track (emcds)
- Google professional data engineer certification
- Ibm data analyst
- Ibm data science professional certificate
- Microsoft certified: azure ai fundamentals
- Microsoft certified: azure data scientist associate
- Open certified data scientist (open cds)
- Sas certified ai & machine learning professional
- Sas certified big data professional
- Tensorflow developer certificate
Certified analytics professional (cap)
The Certified Analytics Professional (CAP) is a vendor-neutral certification that validates your ability to “transform complex data into valuable insights and actions,” which is exactly what businesses are looking for in a data scientist: someone who understands data, can draw logical conclusions and express to key stakeholders why those data points are significant.
You’ll need to apply and meet certain criteria before you can take the CAP or the associate level aCAP exams. To qualify for the CAP certification exam, you’ll need three years of related experience if you have an master’s in a related field, five years of related experience if you hold a bachelor’s in a related field, and seven years of experience if you have any degree unrelated to analytics.
Cost: CAP exam: $495 for INFORMS members, $695 for non-members; aCAP exam: $200 for INFORMS members, $300 for non-members Location: In person at designated test centersDuration: Self-pacedExpiration: Valid for three years
Cloudera certified associate (cca) data analyst
The Cloudera Certified Associate (CCA) Data Analyst certification demonstrates your ability as a SQL developer to pull and generate reports in Cloudera’s CDH environment using Impala and Hive. SQL developer skills will allow you to pull, model, manage, analyze and work with data right from the source as a data scientist.
During the 120-minute exam, you’ll be given eight to 12 customer problems with a unique data set and a CDH cluster. You’ll be tested on your ability to analyze each question and then decide how best to “implement a technical solution with a high degree of precision.”
Cost: $295 per exam specialty and per attemptLocation: OnlineDuration: Self-pacedExpiration: Valid for two years
Cloudera certified professional (ccp) data engineer
Cloudera touts its Certified Professional (CCP) Data Engineer certification as one of the most rigorous and “demanding performance-based certifications.” Those looking to earn their CCP Data Engineer certification should have in-depth experience in data engineering and a “high-level of mastery” of common data science skills, according to Cloudera.
Cost: $400 per attempt — each attempt includes three examsLocation: OnlineDuration: Self-pacedExpiration: Valid for three years
Data science council of america (dasca) principal data scientist (pds)
The Data Science Council of America (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; $850, track 2; $300, Track 3; $950, track 4Location: OnlineDuration: Self-pacedExpiration: Credentials do not expire
Data science council of america (dasca) senior data scientist (sds)
The Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification program is designed for professionals with five or more years of experience in research and analytics. It’s recommended that students have knowledge of databases, spreadsheets, statistical analytics, SPSS/SAS, R, quantitative methods, and the fundamentals of object-oriented programming and RDBMS.
The program includes five tracks that will appeal to different candidates — each track has different requirements in terms of degree-level, work experience and prerequisites to apply. You’ll need at least a bachelor’s degree and more than five years of experience in data science to be eligible for each track, while other tracks require a master’s degree or past certifications.
Cost: $650Location: OnlineDuration: Self-pacedExpiration: 5 years
Dell emc data science track (emcds)
The Dell EMC Data Scientist Track (EMCDS) includes two programs — the Data Science Associate v2 (DCS-DS) certification and the Data Science Specialist (DCS-DS) certification. At the associate level, you’ll cover the foundations of data science and big data analytics — the courses can be completed in-person or online.
Cost: $230 per examLocation: In-person or online via Pearson VUEDuration: Self-pacedExpiration: Does not expire
Google professional data engineer certification
The Google Professional Data Engineer certification is best suited for those with foundational knowledge of the Google Cloud Platform (GCP) and experience designing and managing solutions using GCP. The exam will test your abilities with designing, building, securing and operationalizing machine learning models and data processing systems.
Cost: $200Location: OnlineDuration: Two hoursExpiration: Credentials do not expire
Ibm data analyst
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis.
This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.
Ibm data science professional certificate
The IBM Data Science Professional Certificate consists of nine courses in 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 course takes place online through Coursera with a flexible schedule and takes an average of three months to complete, but you are free to take more or less time. The course includes hands-on projects to help you build a portfolio to showcase your data science talents to potential employers.
Cost: FreeLocation: OnlineDuration: Self-pacedExpiration: 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 the exam.
Cost: $99Location: OnlineDuration: Self-pacedExpiration: 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.
Cost: $165Location: OnlineDuration: Self-pacedExpiration: 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’ll start at level one as a Certified Data Scientist, then you can move to level two where you’ll become a Master Certified Data Scientist and finally, you can pass the third level to become a Distinguished Certified Data Scientist.
Cost: Contact for pricingLocation: On-siteDuration: Varies by levelExpiration: Credentials do not expire
Sas certified ai & machine learning professional
The AI and Machine Learning Professional 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.
Cost: $180 per examLocation: OnlineDuration: Self-pacedExpiration: Credentials do not expire
Sas certified big data professional
The SAS Big Data Professional certification includes two modules with a total of nine courses. You’ll need to pass two exams to earn the designation. The course covers SAS programming skills, working with data, improving data quality, communication skills, fundamentals of statistics and analytics, data visualization and popular data tools such as Hadoop, Hive, Pig and SAS. To qualify for the exam, you’ll need at least six months of programming experience in SAS or another language.
Cost: $180 per examLocation: OnlineDuration: Self-pacedExpiration: 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 the building and training of 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 will 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 examLocation: OnlineDuration: Self-pacedExpiration: Credentials do not expire