{"id":248418,"date":"2022-09-26T11:01:45","date_gmt":"2022-09-26T11:01:45","guid":{"rendered":"https:\/\/imarticus.org\/?p=248418"},"modified":"2024-03-29T10:46:50","modified_gmt":"2024-03-29T10:46:50","slug":"introduction-to-data-analytics-technologies-jobs-and-careers","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/introduction-to-data-analytics-technologies-jobs-and-careers\/","title":{"rendered":"Introduction To Data Analytics: Technologies, Jobs and Careers"},"content":{"rendered":"

Introduction To Data Analytics: Technologies, Jobs and Careers<\/span><\/h2>\n

Nowadays, Data Analytics has become a sort of a buzzword in the data science industry. Just have a look at any of the job websites, and you will see that there are many vacancies in\u00a0data science. Even Harvard University has labelled it as one of the hottest job fields in the USA, and India is also a part of the same trend.<\/span><\/p>\n

So, what is the reason behind this craze for data analytics and\u00a0<\/span>data science jobs<\/b>? Let\u2019s have a look.\u00a0 \u00a0<\/span><\/p>\n

What is Data Analytics, and what does a data analyst do?<\/b><\/p>\n

Data Analytics is a subset of Data science. It is where raw data is cleaned, analysed, interpreted and displayed using several approaches with the help of business intelligence tools. These data analysis tools transform raw data into interpretable information that aids in making successful decisions.<\/span><\/p>\n

But how is the data presented? Raw data is converted into meaningful information, statistics and explanations with the help of tools and techniques. There are multiple tools that data analysts use for generating all the interpretations of data.<\/span><\/p>\n

At the same time, there is some programming expertise that a data analyst requires. For example, they could learn either of the two programming languages, R and Python, to process the data. For storing this data, they could use SQL. But the entire tech tools a data analyst needs are mentioned in the next section. So, just continue to read the topic till the end.<\/span><\/p>\n

Technologies employed by Data Analysts<\/b><\/h2>\n

Several tech tools and programming languages can make the life of a data analyst easier. As already mentioned, data analysts have to process raw data and use it to generate various graphical representations. For that, they need to \u2013<\/span><\/p>\n