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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Let’s take a look at the skillsets developers need to have. Big Data Skillsets.

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Do you need to excel in data analytics before moving into a BA role?

Analysts Corner

Being a person who gets pumped up with every new idea, I started making a list of skillsets required to become a data analyst. What I did was something undigestible to me as well — I completed online courses in Excel, SQL, Python, Data Visualization, Data Analysis process, etc.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

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Busting the “Excel is dead” Myth!

Analysts Corner

It is easy to manage data and visualize information in Excel using functionality such as formulas, pivot tables, charts, and graphs. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx. It is easy to learn with a lot of free online resources.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

Data Pine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

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Data Engineer vs Data Scientist: What’s the Right Fit for Your Company?

Sisense

To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience. They enable their business colleagues to visualize findings, trends and patterns based on their analysis.