Best Data Science Certificates To Outweigh Your Competition
Certification is the proof of your competency, commitment to the profession, expertise in the professional subject, etc. They help with job advancements, career achievements and they give you the recognition you deserve. Certificates help you showcase your abilities to a higher power. Being certified by the right organizations is the key. Let's see the best 10 certifications you can get as a Data Scientist that add value to your career.
1. CERTIFIED ANALYTICS PROFESSIONAL (CAP®)
The Certified Authorization Professional (CAP) certification is considered as one of the top IT security credentials in the industry. The popularity of CAP certification has increased over the years as it offers several benefits to both government and private organizations. They have high standards and their exams are really tough. If you can nail the exams you're opening the doors to an amazing career.
2. DELL EMC PROVEN PROFESSIONAL CERTIFICATION PROGRAM
The Dell EMC Data Scientist Associate (EMCDSA) is a foundational certification that exposes you to the basics of big data and data analytics. Topics for this certification include an introduction to data analytics, characteristics of big data and the role of data scientists. Also covered are a variety of big data theories and methods, including linear regression, time-series analysis, and decision trees. Various cutting-edge big data tools, such as Hadoop and MapReduce, feature as aids to data analytics efforts.
The next rung up on the certification ladder is the Dell EMC Data Scientist, Advanced Analytics Specialist (EMCDS). Professionals at this level employ advanced analytics to solve business issues. They use Hadoop, Pig, Hive, and HBase; analyze social networks; and understand natural language processing.
3. MICROSOFT CERTIFIED
Microsoft Certified: Azure Data Science Associate. Candidates for the Azure Data Scientist Associate certification should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Azure. Responsibilities for this role include planning and creating a suitable working environment for data science workloads on Azure. You run data experiments and train predictive models. In addition, you manage, optimize, and deploy machine learning models into production.
A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning and Azure Databricks.
4. SAS® CERTIFIED DATA SCIENTIST
Designed for individuals who can manipulate and gain insights from big data with a variety of SAS and open source tools, make business recommendations with complex machine learning models, and then deploy models at scale using the flexible, robust SAS environment.
Candidates who earn this credential will be required to have earned either the SAS Certified Data Curation Professional or the SAS Certified Big Data Professional and either the SAS Certified Advanced Analytics Professional or the SAS Certified Professional AI and Machine Learning credentials.
5. CLOUDERA CERTIFICATION
Cloudera Certified Professional (CCP) Data Engineer: Certifies that you can “develop reliable, autonomous, scalable data pipelines that result in optimized data sets for a variety of workloads.” In other words: CCP Data Engineer demonstrates that you can wrangle data into a clean, useful shape that can be used by different people, for different purposes.
Cloudera Certified Associate (CCA) Data Analyst: The Data Analyst certification shows you can prepare, structure, and analyze data in Cloudera’s CDH environment. You’ll be able to do things like import data from MySQL into Hadoop, create and alter tables, and make reports with select and join queries.
6. AWS CERTIFIED DATA ANALYTICS
This validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.
7. GOOGLE CLOUD PROFESSIONAL DATA ENGINEER CERTIFICATION
Being Google certified is a huge accomplishment for everyone. Google Cloud offers one associate-level certification and eight professional certifications across cloud architecture, security, DevOps, and machine learning. The data engineer certification is one of the most sought-after among big data and analytics professionals. This helps you a lot in data science and as well as in cloud solutions.
8. DATA SCIENCE COUNSIL OF AMERICA
DASCA Data Science Certifications. DASCA is a vendor-neutral Data Science certification body which covers the Data Science subject broadly & in depth, and, provides Certification to candidates from backgrounds of Technology, Business Management, Stats, or in any of the allied disciplines.DASCA’s certifications are globally accepted & acknowledged, also many recognized corporations give these Certification programs their prominence.
9. IBM DATA SCIENCE PROFESSIONAL CERTIFICATE
This 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.
10. OPEN CERTIFIED DATA SCIENTIST
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. Certification requires a three-step process that includes applying for the certification, completing the experience application form, and attending a board review.