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data science

Thematic Map

Thematic Map

“Data Visualization is better than numeric language as it helps us with a clear picture of the results and requires less effort to build a holistic understanding.” Executive Summary Although data science has gone mainstream, many onlookers see it as a fancy word for plain old statistics. But it’s a way for companies to apply […]

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data wrangling

What is Data Wrangling? Tools, Advantages and Skills Required

With approximately 44 zettabytes of data getting produced every day in the world in 2020 (Source: Statista) and data sources growing at a rapid pace, it has become highly important that this scattered data is organized for proper analysis. Data wrangling is the process of gathering, cleaning, enriching, and transforming data into the desired format

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Enhancement in Customer Satisfaction

Contributed by – Ashok Kumar PGP-DSBA alumnus I am working as Program Manager with one of the large IT firms in India. In one of my recent projects I came across a Business Problem related to Defects leaked into Production for one of the Large Payment Service Provider company in USA  I identified the ‘root

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data warehousing

What is Data Warehousing: Definition, Stages, Tools

What do you mean by data warehousing and what is it made of?  Every day, organizations generate a huge amount of data. To make the most of this information, it needs to be stored in a central location so that different departments can use it for analysis, reporting, and decision-making. This is where data warehousing

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WEKA

DATA MINING TOOL: WEKA

Before we move onto the Weka tool, we need some ideas about data. In previous days peoples maintained their business details manually, handwritten data records were very important those days. That record helped them to analyse the data to make future decisions. But it needs lots of paperwork, it is time-consuming. Nowadays that data is

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Interview Question and Answer

Top 50+ Data Analyst Interview Questions & Answers

Today, businesses rely heavily on data-driven decisions to improve operational efficiency, allay risk, improve customer experience, identify and predict trends. With the plethora of data being generated each day across various sectors, it would be safe to assume that the demand for skilled data analysts will rise in the coming years, making it one of

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future of data science

What is the future of data science?

The early part of the 21st century that we are in right now is dominated by big data. Thanks to the digital platforms, smartphones and IOT we now generate more data than we possibly could have imagined a decade ago. In fact, cloud vendor Domo estimated that the average person in 2020 generated about 1.7MB

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