The field of data Analytics is booming quickly. In the recent years, the rising interest in many technologies such as big data, the Internet of Things (IoT), and Artificial Intelligence (AI) gave rise in the huge demand for data analytics careers among many individuals.
Several individuals aiming to accomplish more in their careers are staying behind the perfect mix of skills, expertise and experience. Several companies worldwide are on a hunt and are ready to pay high salaries for talented people so that the companies can accomplish their future business goals. This gave rise to the demand for data analytics certifications to acquire skills that are required to grow in the field of big data.
In this article, let’s understand the best data analyst certifications that will offer insights about the needs and also help the individuals who want to learn, grow, and get a good job opportunity in the top companies.
Big Data Analytics Certifications from DASCA
The Big Data Analytics Certifications from Data Science Council of America (DASCA) offers great inputs about managing the entire life–cycle of analyzing big data with the help of advanced analytics tools, procedures and techniques on most-used and highly popular big data software and platforms.
There are two levels of global certification programs in data analytics. They are:
- Associate Big Data Analyst (ABDA™) – This is mainly crafted for aspiring graduate students who have done majors in business, management, economics, statistics, marketing, or allied disciplines and who are planning to pursue a data analytics career in the field of big data.
- Senior Big Data Analyst (SBDA™) – This data analytics certification is especially crafted for experienced analytics, research, and marketing professionals who is focused to either shift into the big data field or for those aspiring individuals who wants to ace their career and are working in the field of big data and wants to grow further in their respective careers.
These are considered as the best data analyst certifications from DASCA are available in 190 countries, and a complete test preparation kit will be provided to the applicants, which contains principles, concepts, tools, techniques and technologies of designing, developing and applying analytics frameworks and utilities needed for better information management and decision making. The exam is online-based and the duration is 100 minutes.
Cloudera Certified Associate (CCA) Data Analyst
The CCA Data Analyst certification is mainly crafted for SQL developers, who want to stand out among the competition. This credential has a few prerequisites that should be met by the candidates:
- Need to prepare data for the queries with the help of Extract, Transfer, and Load (ETL) processes
- Should possess good knowledge on the basics of Linux command line and SQL
- Analyze the data on the cluster with the help of Query Language (QL) statements in Hive and Impala
- Using Data Definition Language (DDL) statements for transforming or making structures in the metastore for use by Hive and Impala
Based on the registrant’s performance 8-12 problems will be allotted with a unique, massive data set and a Cloudera Distributed Hadoop (CDH) cluster. The registrants will be given 120 minutes to work on the technical solution for each work. The registrants should analyze the given work and come up with an optimal output in the allocated time.
This credential is mainly meant for:
- Data Analysts
- System Architects
- Business Intelligence Specialists
- System Architects
- Developers
- Database Administrators
Certified Analytics Professional (CAP)
The Certified Analytics Professional (CAP) credential is a general data analytics certification that offers end-to-end knowledge of the analytics processes, which include framing business, gathering data, analytic mistakes, methodology, deployment and model developing, and lifecycle management. It is mainly crafted for early- to mid-career data analytics professionals and is valid for three years, after this duration it requires renewal. This certification is from INFORMS, and it is a computer-based exam.
SAS Certified Big Data Professional Using SAS 9
A SAS Certified Big Data Professional Using SAS 9 offers registrants insights into Big Data with the help of a variety of open-source tools and SAS Data Management tools. They will be taking help from the intricate ML models to make business recommendations for deploying the models at scale with the help of the most robust and flexible SAS environment. To get a SAS Certified Big Data Professional Using SAS 9 one is required to pass 5 exams that consist of short-answer, interactive questions, and a mix of multiple-choice from the SAS Certified Advanced Analytics Professional (3 exams) and SAS Certified Big Data Professional (2 exams). The five exams are:
- SAS Certified Advanced Analytics Professional:
- SAS Advanced Predictive Modeling
- Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14
- SAS Text Analytics, Time Series, Experimentation and Optimization
- SAS Certified Big Data Professional:
- SAS Big Data Programming and Loading
- SAS Big Data Preparation, Statistics and Visual Exploration
