Top 3 Skills you need as a Data Analyst


According to a recent report from the International Data Corporation (IDC), the global Big Data and business analytics market has been expanding at a fast clip over the last several years, leaping from $122 billion in global revenue in 2015 to $189 billion in 2019 and driving towards a projected $274 billion for 2022. With this rapid expansion in data usage, there will surely be a rise in demand for data experts, and if you're someone who wants to benefit from this boom, you need to gain the required skills first.



Here are top 3 skills required to get started with data analysis:


1. Excel

When you think of Excel, the first thing that likely comes to mind is a spreadsheet, but this tool is capable of much more analysis. While a programming language such as R or Python is better suited to manage large data sets, advanced Excel techniques such as writing Macros and utilising VBA lookups are still widely used for more minor lifts and quick analytics. If you work for a small business or startup, the initial version of your database may even be in Excel. The tool has remained a mainstay for businesses in every industry over the years, so learning it is essential. For those seeking a deeper understanding of the tool, structured data analytics courses are available.

2.SQL

SQL, or Structured Query Language, is the industry-standard database language and is an essential skill for data analysts to possess. It is often referred to as ''Excel on steroids'', as it can handle large datasets that Excel cannot. Almost every organisation requires a SQL expert to manage and store data or link multiple databases. So, if you're looking to work with big data, SQL might be the right first step.

3. Data Visualisation

The ability to tell a compelling story with data is essential for proving your point and maintaining audience interest. If your findings cannot be quickly and easily identified, you will have difficulty communicating with others. For this reason, data visualisation can significantly impact the worth of your data. Analysts use eye-catching, high-quality charts and graphs to clearly and concisely present their findings. As a result of its user-friendliness, Tableau's visualisation software is considered an industry-standard analytics tool.

Now that you know what you need to do, what are you waiting for?

Get started!!


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