Top Big Data & Analytics Certifications to Speed up Your Career Growth

The world of Big Data is vast and extremely interesting to learn about. This is why there is a large number of certifications in Big Data & Analytics making critical marketable skills available for people belonging to different educational backgrounds and professions.

Organizations today possess massive quantities of data that needs to be gathered, managed and processed effectively. And for this reason, organizations are constantly looking for professionals with the expertise required for analyzing large sets of data and taking insights from them in order to demonstrate a clear picture of the business and to support decision making. And with such a high demand, people with the appropriate skills and knowledge are in a position to demand steep salaries.

In this article, we will provide you with a list of a few certification in big data analytics that will help you boost your career big time.

  1. Analytics: Optimizing Big Data Certificate

This Big Data & Analytics certification is of an undergrad level and is designed for people like operational, marketing and business managers, data analysts, professionals in the financial industry along with small-scale business owners. This certification focuses on analysis, statistics, oral as well as written communication skills.

  1. Certification of Professional Achievement in Data Sciences

This is a not a degree program and aims to impart foundational data science knowledge. It consists of four courses that are:

  • Algorithms for Data Science
  • Probability & Statistics
  • Machine Learning for Data Science
  • Exploratory Data Analysis and Visualization
  1. Associate Big Data Analyst

Another certification provided by DASCA, Associate Big Data Analyst is for business school and graduating university students who aspire to have a fulfilling career in Big Data analytics. It is preferable for students who possess a major in subjects like statistics, economics, and applied mathematics.

  1. Senior Big Data Analyst

This is a credential meant for professionals with experience in market research or business analysis and who wish to get into Big Data Analytics. It is provided by the Data Science Council of America and is designed in a way that it can enhance your proficiency and potential for handling extremely challenging projects related to Big Data Analytics.

  1. Certified Analytics Professional

This Data Analytics certification has been constructed to provide a complete understanding of the process of analytics. Basically, the certification program will cover almost everything, from structuring business as well as analytic problems to obtaining data, methods, model building along with model lifecycle management.

  1. Cloudera Certified Associate (CCA) Administrator

For people pursuing this certification, there is going to be a bright future in organizations that are deploying Cloudera. The program promises to provide you with the knowledge of installation procedures for Cloudera Hadoop and Cloudera Manager.

Furthermore, you can gain the capability to carry out basic as well as advanced configuration that is required to properly operate a Hadoop cluster.

  1. Cloudera Certified Associate (CCA) Data Analyst

This certification is mainly designed for individuals who are working as SQL developers and wish to showcase hardcore competencies as analysts for loading, transforming and modeling Hadoop data in order to look for correlations and draw meaningful outcomes from the raw product.

  1. Cloudera Certified Associate (CCA) Spark and Hadoop Developer

By earning this Big Data and Analytics certification, you will gain the confidence to demonstrate your analytical skills to employers. You will be able to prove your abilities in ingesting, transforming and processing data with the help of Apache Spark as well as key Cloudera enterprise tools.

Shubhi Gupta

Shubhi Gupta is a freelance author and writes for a variety of online publications. She actively writes blogs and articles and very fond of writing content on different topics.

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