How to use Data to Answer Key Business Questions Analysis of Data (Data Analytics) is like a knight in a shining Armor for most of the organizations. They are investing quite a fortune to taste the success driven by data analytics. No wonder Analytics and Data Science certification course for individuals and corporate employees are the
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  The world is changing, and moving rapidly towards digitization. It is not difficult to compare today’s world with the one that was 10 years ago. There has been a huge leap and the development has been exponential. In this fast-track world, one thing that has been consistent is the upgrade in technology. Every passing day,
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Business analysis is something that focuses most on analysing and optimising the processes and functions. A business analyst analyzes what a business needs, to function optimally and what it needs to improve. After that, they implement new solutions which include improving processes, changing policies, or introducing new technology. The job of a business analyst is not
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  Data Science has become one of the most interesting and most sought jobs in recent times. While the demand for the job has become quite competitive, the job seekers still find themselves in bewilderment as there is no right guide for cracking the data science interviews. In this article, we aim towards providing our readers
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“India is today among the top 10 destinations for analytics and our aspiration is to be among the top three in the world by 2025" These golden lines by the NASSCOM vice-president KS Viswanathan in 2016 showed everyone the potential of India and its people in the field of analytics. It not only motivated us with
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Undoubtedly, data science has taken down most industries, making data scientists the most sought job of the 21st century as per the Harvard business review. Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of its time. This lack of real industry-standard still confuses a lot of professionals
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Big data is a field that deals with data sets that are too large or too complex to be dealt with data-processing application software. Only experienced people work on Big Data is one of the biggest fallacies. Whether it is an old technology like mainframes or something latest as Big Data, there is no such
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“I had the idea of learning about data science, and that’s what brought me to Ivy”.  Arpita Ghosh, our student from Ivy Pro School, completed her master’s graduation in 2019. She has been excelling in the market research industry since then. Learning about data science and its real-life application was very intriguing for her. Thus
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With an astonishingly high amount of data being generated today, researchers have claimed that by 2025, every year, the amount of data available would be increasing exponentially and the world would have lots of raw data available to be processed, analyzed, and it will generate the need of effective tackling of many real-world problems. This
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Data Science has become one of the most interesting jobs in recent times. While the demand for the job has become quite competitive, the job seekers still find themselves in bewilderment as there is no right guide for cracking the data science interview. In this article, we aim towards providing our readers with proper information about
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Business Analytics is often misunderstood with Data Analytics and the sole reason for this article is to bust this myth and educate our avid readers about the exact role of an individual pursuing a career in business analytics. Definition: What is Business Analytics? Business Analytics is a process that is carried out to understand business performance, gain
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We have learned several string operations in our previous blogs. Proceeding further we are going to work on some very interesting and useful concepts of text preprocessing using NLTK in Python. Let us first understand the text processing thought process by observing the following text to work on. sample_text = '''A nuclear power plant is a
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Data Science, Machine Learning, Artificial Intelligence, Automation, etc. technologies gained a lot of attention in the recent past. More so because of the potential to help businesses with their applications and beneficial use cases. Consequently, businesses globally from every industry started to pick up these technologies at a very fast rate. According to a report,
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This article is in continuation of our first part of a Step by Step guide of Python Regular Expressions. The meta-characters, special sequences,  and sets are the essential parts of a regular expression. We are going to talk about working examples of these on the two-sample text data considered earlier. The movie review text is
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Introduction - Would not that be surprising if someone says he or she is not aware of Facebook? Undoubtedly, a majority of us most likely uses this social media platform for a while every day. As of December 2019, Facebook has got 2.5 billion active users monthly. This might just be an exciting fact for common
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The very first article in the NLP series introduced Natural Language Processing. We then explained String Operations that can be performed on text using Python. Further, in the quest to strengthen our text pre-processing, we must have a good understanding of Regular Expressions. This article is the first part of a step by step guide
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