Learning new skills to enhance your abilities to do a task effectively can be a hectic schedule especially if you are an employee. But professionals in times like today are bound to take the leap and advance their talent stay relevant in the market. And when it comes to becoming technology-efficient specifically in the field of data science, you ought to have the best qualification and certification to get better job opportunities in this high in-demand profession.
Here are some of the top big data analytics certifications offered by big tech companies that will help you acquire advanced proficiency in your arena.
Microsoft is part of the big data mix with its MCSE: Data Management and Analytics certification, which leans heavily toward SQL Server 2016 and emphasizes cloud environments and reporting. This credential replaces the Microsoft Certified Solutions Expert (MCSE): Business Intelligence, which retired on March 31, 2017.
The MCSE: Data Management and Analytics requires candidates to earn an MCSA certification and then pass an elective exam. The MCSA certifications to choose from are MCSA: SQL Server 2012/2014; MCSA: SQL 2016 Database Administration; MCSA: SQL 2016 Database Development; MCSA: SQL 2016 BI Development; MCSA: Machine Learning; MCSA: BI Reporting; and MCSA: Data Engineering with Azure. There are 12 MCSE elective exams, which focus on a variety of cloud, big data analytics, and BI topics, with machine learning now added to the MCSA certifications.
To maintain this certification, you must pass an additional elective exam each year. Doing so adds an entry to your transcript that indicates your commitment to staying current on technologies and expanding your skillset.
Oracle has one of the largest certification programs in the world, and it has granted more than 1 million Oracle and Sun certifications.
Oracle offers it’s Business Intelligence (BI) certifications across several applications and platforms, such as Business Intelligence Applications 7 for CRM, Business Intelligence Applications 7 for ERP, and Business Intelligence Foundation 11g. To narrow down the field, we focused on the Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist credential.
Candidates for this certification are intermediate-level professionals (architects, analysts, developers, and administrators) who work with Oracle Business Intelligence Suite solutions, performing tasks such as installing, building, querying, configuring, and managing the platform and BI dashboards.
Although anyone can attempt the exam, the certification is designed for members of the Oracle Partner Network who sell and deploy the technology.
New exams and training courses based on Oracle BI 12c are also becoming available as those courses and exams are released to the public.
SAS is a multibillion-dollar global corporation that specializes in business analytics software and services. The company’s well-honed certification program offers nine credentials across programming, information and data management, advanced analytics, and business intelligence.
Three noteworthy SAS certifications are the SAS Certified Data Scientist, SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling, Business Intelligence Content Developer for SAS 9, and SAS Certified Big Data Professional Using SAS 9. We concentrated on the SAS Certified Data Scientist Using SAS 9.
Candidates for the Data Scientist certification should have in-depth knowledge of and skills in manipulating big data using SAS and open-source tools, using complex machine learning models, making business recommendations, and deploying models. Candidates must pass five exams to earn the SAS Certified Data Scientist credential.
SAS doesn’t require candidates to take certification courses as a prerequisite for exams, but the company offers an official curriculum for those who have the budget and need extra preparation.
SAS “versioned” credentials, such as the SAS Certified Data Scientist Using SAS 9, do not expire. However, SAS may retire exams as new or enhanced software is released.
A SQL developer who earns the Cloudera Certified Associate (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.
The price of the certification is the US $295. Also, Cloudera recommends candidates take the Cloudera Data Analyst Training course, which has the same objectives as the exam.
The IBM Data Science Professional Certificate is a beginner-level certificate that demonstrates an individual’s skills in data science topics, including open source tools and libraries, methodologies, Python databases, SQL, data visualization, data analysis, and machine learning. Earning the certificate requires completing nine courses (taking roughly three months at 12 hours per week), during which the candidate will complete several hands-on assignments and build a portfolio of data science projects. In the end, candidates earn a Professional Certificate from Coursera and a digital badge from IBM recognizing proficiency in data science.
The course is available on Coursera at a price of US$39 per month for access to graded materials and a certificate. According to the company, no prior computer science or programming knowledge is necessary.