Top 4 Data Analytics Certifications to Enrol Into in 2020

The way data is exploding currently, it will come as no surprise that the biggest job-producing sector in the entire 2020s will be the data analytics sector. 2.5 quintillion bytes of data are being generated each day, across the globe. With the advent of IoT-enabled devices in the last ten years, the amount of data getting generated has multiplied itself from manifolds.

Today, anything and everything is connected with the internet and is being monitored digitally, which in return, produces huge piles of electronic data. Such IoT-enabled devices include connected security systems, speaker systems, alarm clocks, vending machines, industrial robots, among many others, and all producing data.

To handle this big ocean of data, you need professionals that can manage it efficiently, and make the best use of it by deriving meaningful insights out of it.

And hence, a growing need for skilled data analytics professionals.

Here are the top data science credentialing certifications that can help you break into the highly-lucrative data analytics industry.

Top 4 Data Analytics Certifications for Data Science Aspirants in 2020

1. Cloudera Certified Associate CCA Data Analyst

The data analytics certification program is run by Cloudera, a US-based software firm. CCA Data Analyst credential is specifically designed for those who would want to undertake the following job positions in the data analytics sector:

• Database administrators
• Developers
• Business intelligence specialists
• System architects
• Data analysts

For talented SQL developers who would like to stand out among the crowd, the said certification would prove to be a jewel on the crown.

Prerequisites to enrolling into the said data science credentialing program:

• You should be able to analyze data leveraging QL statements in Hive and Impala.
• One must be proficient in the preparation of data for queries utilizing the ETL processes.
• Familiarity with the use of DDL (Data Definition Language) statements for creating and altering structures in the meta store to be used by Hive and Impala.

2. Microsoft Certified Solutions Expert MCSE: Data Management and Analytics

It is an advanced level certification in data science suited to professionals with multiple years of work experience in:

• SQL administration
• Building enterprise-scale data solutions
• Leveraging business intelligence (BI) data

Equipped with an MCSE: Data Management and Analytics certification, one can handle working on both, cloud environment and on-premise. The most standout aspect of this data analyst certification is that you get to choose among a multitude of examinations basis your career choices and interest.

3. DASCA (Data Science Council of America) Professional Certifications

The DASCA credentials are among the world’s most valuable 3rd party data certifications that elevates your job-readiness significantly. Available for all three primary job designations in the data analytics industry, the DASCA certifications are categorized into three main categories, namely Data Analyst Certification, Data Engineer Certifications, & Data Scientist Certifications.

DASCA issues vendor-neutral certifications that make them even more valuable. Accepted across more than 180+ countries, their significance is exceptionally wide in terms of the geographies they are accepted in.

DASCA credentials are designed for data science enthusiasts that dream of becoming the below-provided data science job designations, apart from helping college graduates bag the entry-level jobs:

• Big data analysts.
• Data Analysis Engineers.
• Data Scientists.

Catalog of DASCA Certifications for College Graduates & Working Professionals

• ABDA (Associate Big Data Analyst)
• SBDA (Senior Big Data Analyst)
• ABDE (Associate Big Data Engineer)
• SBDE (Senior Big Data Engineer)
• SDS(Senior Data Scientist)

4. Certified Analytics Professional (CAP)

Among some of the top data science certifications come the CAP. Individuals that pass the testing CAP examination do stand out in the crowd.

The said professional credential once acquired, needs to be renewed every 3 years. The qualifying examination for the same can be taken remotely in the comfort of the candidates’ respective homes, as it’s computer-based testing that evaluates your prowess in the skills you have learned under the certifying program.

We hope by now, you have got to know what certifications to enroll in, and what will you gain out of them.

Here is wishing you great success in your future endeavors related to building a rewarding data science career.

Originally published at https://datafloq.com.