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Category: Analytics

link to How to Analyze Nominal Data

How to Analyze Nominal Data

When we talk about data, the first thing that comes to our mind is the collection of raw facts and figures. With the advent of modern technology and advancement in computer systems, the term data got...

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link to 11 Tips For Writing a Dissertation Data Analysis

11 Tips For Writing a Dissertation Data Analysis

Since the evolution of the fourth industrial revolution – the Digital World; lots of data have surrounded us. There are terabytes of data around us or in data centers that need to be processed and...

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link to This is how Big Data Analytics differ from Regular analytics

This is how Big Data Analytics differ from Regular analytics

Analytics refers to the process of analysis of raw data or statistics in order to discover, communicate and interpret its meaningful patterns. Analytics is helpful for businesses in decision-making,...

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link to Do Data Analysts Code? (We Find Out)

Do Data Analysts Code? (We Find Out)

In the earlier days, when there were fewer inventories, there were fewer complications. Simple tools were sufficient to manage important data. Then, with the introduction of fields like data...

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link to This Is Why Data Analysis is Concerned with Data Reduction

This Is Why Data Analysis is Concerned with Data Reduction

The world is advancing day by day. The amount of data available is more than ever. Conventional data analysis methods are dying, and it's high time people use more efficient data...

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link to This is Why Business Analytics is Vital to Every Business

This is Why Business Analytics is Vital to Every Business

In today’s business-centric world, every company in the run wants to have their decision-making systematic and efficient. It is where business analytics proves beneficial to businesses. The...

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About Us

Having been working in Project management, business analysis, and with data science teams to collect, visualize and make needle-moving decisions for the business in the past 5 years, I'd love to learn and share with you all about big data, data science, data analytics, business analytics and how we can use them for far more effective decisions as leaders.

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