Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake big data initiatives can be even harder. Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications.
If you’re looking for a way to get an edge, big data certification is a great option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The number of data analytics certs is expanding rapidly.
Below is our guide to the most sought after data analytics and big data certifications to help you decide which cert is right for you.
Is data analytics and big data certification worth pursuing?
Organizations are on the hunt for data scientists and analysts with expertise in dealing with big data.
These skills are in high demand and are relatively rare. Individuals with the right mix of experience and skills can demand high salaries. The right certifications can help.
According to recent research, the explosion of interest in the internet of things (IoT) is creating large staffing deficits. IDC is predicting a 30 percent CAGR over the next five years, while McKinsey is expecting IoT to have a $4 trillion to $11 trillion global economic impact by 2025 as businesses look to IoT technologies to provide more insight.
It is believed that advanced data analytics will be a major force driving the IoT. It has been noted that key advanced analytics skills in the IoT area include:
- Apache Hadoop and related modules (HDFS, HBase, Flume, Oozie, Hive, Pig, YARN)
- NoSQL and NewSQL
- Apache Spark
- Machine learning and data mining
It has been said that Advanced data analytics capabilities are just too critical for staying competitive. They’ve expanded in popularity from a few industries to nearly every industry and market.”
The top 7 data analytics and big data certifications
- Certification of Professional Achievement in Data Sciences
- Certified Analytics Professional
- Cloudera Certified Associate (CCA) Data Analyst
- EMC Proven Professional Data Scientist Associate (EMCDSA)
- MapR Certified Data Analyst
- Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
- SAS Certified Data Scientist Using SAS 9
Certification of Professional Achievement in Data Sciences
The Certification of Professional Achievement in Data Sciences is a non-degree program intended to develop facility with foundational data science skills. The program consists of four courses: Algorithms for Data Science, Probability & Statistics, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization.
Certified Analytics Professional
The Certified Analytics Professional (CAP) credential is a general analytics certification that certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment and model lifecycle management. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.
Cloudera Certified Associate (CCA) Data Analyst
A SQL developer who earns the CCA Data Analyst certification demonstrates core analyst skills to load, transform and model Hadoop data to define relationships and extract meaningful results from the raw output. It requires passing the CCA Data Analyst Exam (CCA159), a remote-proctored set of eight to 12 performance-based, hands-on tasks on a CDH 5 cluster. Candidates have 120 minutes to implement a technical solution for each task. They must analyze the problem and arrive at an optimal approach in the time allowed.
EMC Proven Professional Data Scientist Associate (EMCDSA)
The EMCDSA certification demonstrates an individual’s ability to participate and contribute as a data science team member on big data projects. It includes deploying the data analytics lifecycle, reframing a business challenge as an analytics challenge, applying analytic techniques and tools to analyze big data and create statistical models, selecting the appropriate data visualizations and more.
MapR Certified Data Analyst
The MapR Certified Data Analyst credential validates an individual’s ability to perform analytics on large datasets using a variety of tools, including Apache Hive, Apache Pig and Apache Drill. The exam tests the ability to perform typical ETL tasks to manipulate data to perform queries. Questions touch on existing SQL queries, including debugging malformed queries from a given code snippet, choosing the correct query functions to produce a desired result, and typical troubleshooting tasks. The exam consists of 50-60 questions in a two-hour proctored session.
SAS Certified Data Scientist Using SAS 9
The SAS Certified Data Scientist Using SAS 9 credential demonstrates that individuals can manipulate and gain insights from big data with a variety of SAS and open source tools, make business recommendations with complex learning models, and then deploy models at scale using the SAS environment. The certification requires passing five exams that include multiple choice, short answer, and interactive questions (in a simulated SAS environment). The exams include:
- SAS Big Data Preparation, Statistics and Visual Exploration
- SAS Big Data Programming and Loading
- Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14
- SAS Advanced Predictive Modeling
- SAS Text Analytics, Time Series, Experimentation and Optimazation
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