4 Data Analytics Certifications that Enhance your Career
By: Albert Christopher
Tags: Data Analytics, Certification, Big Data

The field of data Analytics is emerging rapidly. In the past few years, the rising interest in several technologies such as big data, the Internet of Things (IoT), and Artificial Intelligence (AI) is in huge demand for data analysts and scientists.

Many individuals are who are aiming to achieve more in their data analytics careers are lacking the right mix of skills and experience. There are many organizations globally that are on a hunt and are ready to pay high salaries for talented individuals so that the organizations can achieve their future business goals. This gave rise to the demand for big data analytics certifications to attain skills that are needed to grow in the field of big data.

In this article let’s understand the most sought-after data analytics certifications that will give insights about the requirements and also help the individuals, who want to learn, grow, and get a good job opportunity in the top company.

Cloudera Certified Associate (CCA) Data Analyst

The CCA Data Analyst certification is especially designed for SQL developers, who want to stand out among the competition. This certification has a few prerequisites that must be met by the candidates:

· Should prepare data for the queries with the help of Extract, Transfer, and Load(ETL) methods

· Should possess sound 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 changing or making structures in the metastore for use by Hive and Impala

Based on the candidates performance 8–12 problems will be allotted with a unique, large data set and a Cloudera Distributed Hadoop (CDH) cluster. The candidates will be given 120 minutes to perform the technical solution for each task. The candidates must analyze the given work and come up with an optimal output in the allocated time.

This certification is mainly meant for:

a)Data Analysts

b)System Architects

c)Business Intelligence Specialists

d)System Architects

e)Developers

f)Database Administrators

Big Data Analytics Certifications from DASCA

The Big Data Analytics Certifications from Data Science Council of America (DASCA) gives insights about managing the entire life–cycle of analyzing big data using advanced analytics tools and techniques on common and popular big data software and platforms. There are two levels of global big data analytics certification programs. They are:

a)Associate Big Data Analyst (ABDA™) — This is especially designed for aspiring graduate students who have done majors in business, management, economics, statistics, marketing, or allied disciplines, and who want to pursue a data analytics career in the field of big data.

b) Senior Big Data Analyst (SBDA™) — This data analytics certification is especially designed for experienced analytics, research, and marketing professionals who aim to either shift into the big data field or for those professionals who are already working in the field of big data and wants to grow further in their respective careers.

These certifications from DASCA are available in 183 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 required for better information management and decision making. The online exam duration is 100 minutes.

Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

The MCSE: Data Management and Analytics certification offer candidates insights on SQL database administration, machine learning, leveraging Business Intelligence (BI) data, and developing enterprise-scale data solutions, in cloud-based as well as on-premises environments. Once the candidate gets an MCSE certificate, they will be eligible for jobs that include:

a)Business Intelligence Analyst

b)Database Analyst

c)Database Designer

The exam duration of this data analytics certificate is 120 minutes. To pursue MCSE the candidates should first have one of the following Microsoft Certified Solutions Associate (MCSA) certifications:

a)MCSA SQL 2016 BI Development

b)MCSA: SQL Server 2012/2014

c)MCSA: BI Reporting

d)MCSA Data Engineering with Azure

e)MCSA: SQL 2016 Database Development

f)MCSA: Machine Learning

g)MCSA SQL 2016 Database Administration

SAS Certified Big Data Professional Using SAS 9

A SAS Certified Big Data Professional Using SAS 9 gives individuals insights into big data by using a variety of open-source tools and SAS Data Management tools. The individuals 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 get a SAS Certified Big Data Professional Using SAS 9 one must pass all 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

Wrapping up

Big data analytics is the driving force for many successful businesses. If an individual is interested in a career in data analytics then doing a certification will benefit to boost the required skills and gain the relevant knowledge that is needed for a rewarding career path.