You can now start your career in data science with these top 10 data science certifications
As data science becomes more and more important for humankind, the increasing demand for proficient data scientists in various industries is natural. Nowadays, data science is one of the hottest career avenues. As the world moves towards consuming more and more data and even at a faster rate, the emphasis on data science is only meant to grow over time. Data science is a complex field linked with a galore of concepts, data science tools, techniques, approaches, methodologies, and much more. Although one can start or switch careers in data science, it is thoughtful to know everything about data science beforehand. On that note, here is the list of 10 Oxford-approved data science certifications you should not miss.
Certified Analytics Professional (CAP)
The Certified Analytics Professional is a vendor-neutral certification that validates the ability to transform complex data into valuable insights and actions which is 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. One will need to apply and meet certain criteria before the CAP, or related aCAP exams can be taken. The individual will need three years of related experience along with a master’s or bachelor’s degree to qualify for the CAP certification exam.
Cloudera Certified Associate (CCA) Data Analyst
The CCA Data Analyst certification program demonstrates an individual’s ability as a SQL developer to pull and generate reports in Cloudera’s CDH ecosystem using Impala and Hive. SQL developer skills will allow the individual to pull, model, manage, analyze and work with the right data from the source as a data scientist. During the 120-minute exam, one will be given 8-12 custom problems with a unique dataset and a CDH cluster. The individual then will be tested on the ability to analyze each question and decide how best to implement a technical solution with a high degree of precision.
Amazon AWS Big Data Certification
If an aspirant has at least two years of experience working in the AWS ecosystem and wants to transition into the analysis of complex data, Amazon’s AWS Big Data Certification is ideal for the individual. With this, the person will be able to implement core AWS Big Data Services as per the best architecture. Besides, the individual will also gain new skills in designing and maintaining big data ecosystems.
Dell EMC Proven Professional Certification Program
The Dell EMC Data Scientist Associate (EMCDSA) is a foundational certification that exposes you to big data and data analytics basics. As soon as you pass this data scientist certification, you’re considered a “Proven Professional,”. It is clear to managers and recruiters that you have the necessary skills they want in a data scientist.
Oracle Certified Business Intelligence
One will be able to prove the individual’s worth in learning the multiple ways through which business intelligence tools are utilized with the help of Oracle’s certificated Business Intelligence course. The person will further learn to optimize business solutions. Apart from that, the individual can assist the organization in making careful and data-driven business decisions.
Data Science Certificate-Harvard Extension School
There is one condition to be fulfilled to earn a certificate from Harvard Extension School in Data Science. An individual has to complete this course and then earn at least a B grade in four certification courses within three years. One can also choose two electives from a select group. That is one required data science course from another select group besides both an entry-level and advanced-level statistics course.
SAS Certified Data Scientist
The SAS Certified Data Scientist certification is designed for individuals who can manipulate and gain insights from big data. Now, with a variety of SAS and open-source tools, you can make business recommendations with complex machine learning models, and then deploy models using the flexible SAS environment.
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.
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. It’s a good place to start if you are new to AI or AI on Azure and want to demonstrate your skills and knowledge to employers.
Google Professional Data Engineer Certification
With Google Cloud Data Engineering certification, you can show the world that you are an expert in building data-driven solutions using Google Cloud. As companies are collecting loads of data, the need for skilled professionals who can build data solutions in the cloud is increasing. And there is no better way to prove that you have the skills than having the certificate in your hands.
Source: analyticsinsight.net
