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Big Data and Data Analytics is the core part of any IT organization. The interest in technology such as Big data and Artificial intelligence has increased the demand for Data Analysts and Data Scientists. Almost 90% of data has been created in the last two years. Due to this, every company is looking towards this data to get meaningful insights. Today companies need professional data analysts who can understand this data and find meaningful information from it.

Before getting into the certification and its importance, let’s understand the difference between the “Certification” and “Certificates”. For example, Data Analytics Certification means you have passed the specific assessment and you are ready to work on a given job role as per the industry standard, whereas an Analytics Certificate means you have been educated in the Data Analytics domain, and it doesn’t mean you possess a certain skill set.

Certification is important because it sets a benchmark to evaluate your skillset. Salaries of Analysts, Architects, and Administrators are among the best in the industries and to prove your skill the certification is necessary to get the high paying salary.

Here is some top certification in the field of Big Data and Data Analytics, which will help you in your career growth.

Microsoft Certified: Data Analyst Associate

The Microsoft Certified: Data Analyst Associate certification helps individuals to broaden their skills through Introduction to Microsoft Power BI. It helps data analysts to design and build scalable data models, clean and transform data, and enable advanced analytic capabilities. This certification may also help you for jobs such as database designer, database analyst, and business intelligence analyst. There is no prerequisite for this certification but it is recommended to have good experience in designing and building scalable data models.

SAS Certified Data Scientist

The SAS Certified Data Scientist programs offer three types of certification that are Data Curation Professional, Advance Analytics Professional, and AI & ML Professional. This certification helps you to learn and manipulate and gain insights from Big Data using various SAS open source tools, make intricate learning models for business recommendation and then situate models at scale using the SAS environment. There is no prerequisite for this certification but experience with SAS programming, Data Manipulation technique, good knowledge of SQL, and six months of experience with mathematics and statistics is recommended.

IBM Data Science Professional Certification

IBM Data Science Professional Certification is a beginner-level certification for an individual to demonstrate their skills in the field of data science, data visualization, python database, SQL, data analysis, and machine learning. The candidate gets several hands-on experiences and builds data science projects. They also get the professional certification and Digital Badge from IBM recognizing proficiency in data science. There is no prior knowledge required in the field of data science or programming.

Microsoft Certified Azure Data Scientist Associate

The Microsoft Certified: Azure Data Scientist Associate certification tests candidate knowledge and expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. The candidate should know about creating and planning a suitable working environment for data science workloads on Azure. The credential does not expire. The candidate appearing for this certification should be expertise in data science and using Azure Machine Learning and Azure Databricks.

Amazon Web Services (AWS) Big Data Specialty Certification

The Amazon Web Services (AWS) Big Data Specialty certification validates your ability in implementing core AWS Big data services, designing and maintaining big data, and using tools to automate data analysis. This certification is for the individuals who perform complex Big data analyses with at least two years of experience using AWS technology. It is recommended to have associate-level certification such as Solution Architect, Developer, SysOps Administrator, and other specialized technical roles. Also, the candidate is recommended to have five years of experience in the data analytics field and experience in processing data by designing a scalable and cost-effective architecture.

Certified Analytics Professional (CAP)

The Certified Analytics Professional (CAP) certification is an independent certification that shows individual expertise in analytics process, model building, business problem framing, analytics problem framing and deployment, and life cycle management. The certification must be renewed every three years. The eligibility for this certification is 3 years with a master’s degree or 4 years with a bachelor’s degree or 7 years with any degree in unrelated areas. An individual must follow the CAP code of ethics and complete and pass the CAP exam.

Oracle Business Intelligence Certification

Oracle Business Intelligence Certification is the right step to enter the world of Business Intelligence and Big Data. Oracle offers diverse certification programs, in which Oracle Business Intelligence or OBI belongs to Java and Middleware track. To get certified in OBI, the candidate is specially tested on installing, building, and configuring BI dashboards and also in making queries and managing systems. The candidate knowledge is also tested on the OBI suite solutions, including OBI applications for Customer Relationship Management (CRM), and Enterprise Resource Planning (ERP). The certification doesn’t expire and there is no prerequisite for this certification.

Google Data Analytics Certification

For the candidate who is a complete beginner in Data Analytics and doesn’t have any prior experience in this field, the Google Data Analytics Certification is the best option. This certification helps you to introduce candidates in the field of data analytics that is designed by Google. This certification teaches you all the necessary skills in the field of Data Analytics such as SQL, Tableau, R, etc. After clearing this assessment you will be ready to apply for any entry-level jobs in the field of data analytics.

Great Learning Data Analyst Certification

The Great Learning Data Analyst Certification trained and certified candidate in Data Analyst through a crash course in the shortest time possible. They train candidates from Fundamentals of Excel, SQL programming, Python for Data Analysis, Statistic, Tableau, Machine Learning, etc. Their training journey is based on focused learning, projects, case studies, and preparing a candidate for interviews. The certification is valuable for the candidates who are fresher and looking for a job in the field of data analysis. The whole training and certification program is designed by leading industry experts.

Open Certified Data Scientist

The Open Certified Data Scientist or Open CDS certification is for a Data Scientist who has the capabilities and qualities to manage and analyze effectively business data. There is no written examination or training for this certification, the candidate is tested based on their skills and experience against a set of conformance requirements through written applications and peer interviews. There are three steps to get certified as Open CDS, the first one is candidates have to obtain 4-5 Milestone Badges from the Open Group, secondly, candidates have to complete the Experience Application Form and lastly candidates have to attend a board review. After passing all these three-level candidates are certified with Open CDS and the certification is valid for 3 years after which it needs to be re-certify.

Data Analytics and Big Data are some of the fastest-growing fields in the industries and lots of companies are looking for skilled and trained employees, as the company generates lots of data every day. As of July 2021, the average salary of an entry-level Certified Data Analyst is around $78000 per annum in the US whereas the average salary for an entry-level Data Analyst in India is around INR 430000 per annum. Data Analytics skills like Python, SQL, Predictive Analysis, etc are among the top-paying skills in the world and it is also increasing day by day.