Industry recognized top big data certifications in 2021

Globally, the role of big data has become very crucial in many industries, they are taking help from it to get valuable insights to stay ahead. Every industry has a great amount of data, which they don’t understand what to do with. The need for big data professionals in these industries has grown because only they can understand the data.

Individuals who choose a career path in data analytics and mining can prove their skills in big data platforms by doing certification courses through learning institutions. The demand for individuals who have done big data certification has risen because many organizations consider the certifications as a benchmark to evaluate the skills in the process of hiring.

If one wants to get certified to work in the field of big data, then there are several options they can choose from. In this article, let’s understand the best big data certifications that are in high demand.

• Cloudera certification

Cloudera offers Certified Professional (CCP) Data Engineer certification, which offers the applicants the knowledge to develop autonomous, reliable, and scalable data pipelines which result in data sets optimized for various workloads. The test needs the applicants to complete the performance-related tasks with sample large data sets and must first pass the Cloudera Certified Associate (CCA) Data Analyst exam.

This is a useful certification for data scientists who have abilities to develop and design production environments. The exam is four hours long and has five to ten performance-related series of customer issues that need to be solved using the pre-configured Cloudera Enterprise cluster. The candidate is required to earn a 70 percent or higher to pass the exam. The CCP credentials expire after three years.

Cloudera’s certifications give a platform for study courses and testing. They also offer matched preparation classes for certain tests to help candidates score higher in their chosen certifications.

•Microsoft certification

The Microsoft Certified Solutions Expert (MCSE) in Data Management and Analytics puts an emphasis on SQL database administration, leveraging Business Intelligence (BI) data, Machine Learning, and building enterprise-scale data solutions, in both cloud-based and on-premises environments. Once an individual receives an MCSE certificate, they will be eligible for jobs such as:

a) Business Intelligence Analyst
b) Database Designer
c) Database Analyst

• Data Science Council of America (DASCA) certifications

DASCA is a professional organization that offers industry standards big data certification programs. DASCA certifications are mainly designed to fit certain job roles such as market researchers and software engineers. DASCA tests the applicants with the world’s most robust generic data science knowledge framework. DASCA programs cover an entire range of important areas of knowledge. Big Data professionals across 183 countries can register for DASCA certification programs and study from the most advanced Big Data learning material ever, designed around the DASCA-EKF™.

DASCA offers six professional certifications for big data engineers, data analysts, and data scientists with exams:

a)Associate Big Data Engineer (ABDE™)
b)Senior Big Data Engineer (SBDE™)
c)Associate Big Data Analyst (ABDA™)
d)Senior Big Data Analyst (SBDA™)
e)Senior Data Scientist (SDS™)
f)Principal Data Scientist (PDS™)

• Dell EMC Education Services certification

The Dell EMC Education Services offers Data Science and Big Data Analytics Certification to examine the in-depth knowledge of an individual in data analytics. The exam mainly focuses on analyzing and exploring data with R, data analytics lifecycle, creating statistical models, choosing the right data visualization tools, and applying various analytic techniques, Data Science aspects like natural language processing, random forests, logistic regression. There are no specific pre-requisites to take this data science certification.

• INFORMS certification

INFORMS offers the Certified Analytics Professional (CAP) credential, which gives end-to-end knowledge of the analytics methods that consists of model building, framing business, analytic issues, deployment, methodology, acquiring data, and lifecycle management. There are few prerequisites to get a CAP certification. They are:

• Three years of experience with master’s in the related field (or)
• Five years of experience with a bachelor’s in the related field (or)
• Seven years of experience if the candidate has any degree unrelated to analytics.
• Must pass Associate Certified Analytics Professional (aCAP) exam before gaining the CAP certification

The CAP certification is valid for three years.

• SAS certification

SAS offers multiple data science certifications, which are mainly focused on SAS products. One among them is SAS Certified Big Data Professional Using SAS 9 gives applicants insights into Big Data by using a variety of open-source tools and SAS Data Management tools. They will be using intricate machine learning models to create business recommendations for deploying the models at scale using the robust and flexible SAS environment. To earn a SAS Certified Big Data Professional Using SAS 9 one should pass all the 5 exams, which consist of short-answer, interactive questions, and a mix of multiple-choice. These are the following five exams:

SAS Certified Big Data Professional:

1. SAS Big Data Programming and Loading
2. SAS Big Data Preparation, Statistics and Visual Exploration
SAS Certified Advanced Analytics Professional:
1. SAS Advanced Predictive Modeling
2. Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14
3. SAS Text Analytics, Time Series, Experimentation and Optimization

Conclusion

Many organizations consider certifications to set standards for professional expertise. By doing any of the aforementioned certifications, an individual can be a part of a reputed organization and can enjoy a rewarding career.

AI Researcher, Writer, Tech Geek. Working on Deep Learning & Neural Networks. #cobots #coding #algorithms