Question

How can I learn big data analytics?

Answer
By Claudio Buttice | Last updated: March 30, 2021

How can I learn big data analytics?

Key Takeaways

On-line courses and e-learning platforms are among the best bets for up to date information when learning abut big data analytics.

Data analytics is an extremely popular topic in the tech industry, and big data professionals are in high demand. Analytics refers to the software and processes that help businesses to interpret and sort big data. Since big data analytics are employed in a broad range of different fields ranging from marketing to security and Artificial Intelligence (AI) technologies, there are many online courses available in some of the most popular e-learning platforms.

Individual professionals and those interested in learning about this field of data science need to become familiar with programming skills, some degree of machine learning, time series analysis, math, and statistics. A big data specialist’s work is to collect, aggregate, and study data, visualize it so it can be communicated, extract meaningful information from it, and use this info to provide actionable insights and guide informed business decisions. Knowing this, a big data specialist must be knowledgeable in all steps required to process data, from mining to storing, cleaning, and analyzing before it is presented in a consumable way.

Generally, the first and most basic step taught in all online courses is to understand the key terms used in big data analytics. After becoming familiar with these basic ideas, the next step is usually becoming familiar with a programming language such as Python and Java. These languages represent the basis upon which future knowledge is built, generally by learning how to employ more advanced analytics tools such as Hadoop, MapReduce, Hive, Spark, Frameworks, Impala, and others. A good knowledge of Relational Database Management Systems (RDBS) such as SQL is needed, as well as a proper understanding of how to perform regressions, clustering, and how to transform unstructured data into structured data.

Those who are looking for more in-depth resources can seek more information about cloud computing software setups, or any other designs that have to do with analytics methods. Learners can get information from vendors or suppliers, sign up for training courses within a company or organization, or utilize training resources from third-party entities.

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Analytics Technology Trends Big Data

Written by Claudio Buttice | Data Analyst, Contributor

Profile Picture of Claudio Buttice

Dr. Claudio Butticè, Pharm.D., is a former clinical and hospital pharmacist who worked for several public hospitals in Italy, as well as for the humanitarian NGO Emergency. He is now an accomplished book author who has written on topics such as medicine, technology, world poverty, human rights, and science for publishers such as SAGE Publishing, ABC-Clio, and Mission Bell Media. His latest book is "Universal Health Care" (Greenwood Publishing, 2019).

A data analyst and freelance journalist as well, many of his articles have been published in magazines such as Cracked, The Elephant, Digital Journal, The Ring of Fire, and Business Insider. Dr. Butticè also published pharmacology and psychology papers on several clinical journals, and works as a medical consultant and advisor for many companies across the globe.

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