Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now has the potential to reach 3.7 million subscribers as compared to the earlier number of 1.3 million subscribers in India by the end of the year. This increased subscriber count…

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The online food delivery business has taken off in the past few years — that much everyone knows. But do you know why this industry has noticed such rapid growth in demand and popularity? It is because of the utter convenience they deliver. Today’s customers come with high expectations, and this industry seems to have checked all the boxes one needs to; well, save for one. Delivery time — this continues to remain a sore spot for most customers who engage with online food delivery businesses.…

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Industry 4.0 or the fourth industrial revolution is predicted to revolve around data. Organizations that will thrive this revolution will be the ones that will realize the value of data as their corporate asset and make smart technology choices to make data-driven decisions. For the organizations of today to get future-ready, having smart analytical applications to bring together data from multiple sources, form a meaningful dataset, and accelerate the…

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What is ETL?

Put simply, an ETL pipeline is a tool for getting data from one place to another, usually from a data source to a warehouse. A data source can be anything from a directory on your computer to a webpage that hosts files. The process is typically done in three stages: Extract, Transform, and Load. The first stage, extract, retrieves the raw data from the source. The raw data is then transformed to match a predefined format. Finally, the load stage…

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We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …

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The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but how we conduct business as well. And this search has led us to highly valuable resources: Geolocation and big data. We know the world is brimming with data, which makes it vital to use technologies that can help us sort through this data and make some sense of it. That’s where big data comes in — allowing us to extract value from the abundance of data. It is…

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You’re a data scientist, but you didn’t end up in the data science industry.

Are you worried about not making it?

Fret not, we’ve got multiple career options molded perfectly for you.

Ever since data science and big data analytics became the buzzwords in the industry, career options in these fields never went amiss. Job roles in both the data science and the big data analytics industry continue to reign as some of the most coveted jobs a tech professional could…

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Deep Learning is a major branch of Machine Learning we have heard so much about.With or without our knowledge, deep learning is strategically influencing our day-to-day decisions.

The past few years have witnessed a…

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Did you ever wonder what’s a typical day of a data scientist like? A data scientist needs to explore data given to us and provide actionable insights, but how do we do that and is that all we do? Do we just sit in-front of a computer and code all day? Do we spend most of our day reading papers? Or is it something completely different? Let me walk you…

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Have you ever experience a situation where you want to import and combine hundred of datasets? If you do this manually, then it will take too much time. On the other hand, we can use a simple R programming to solve this problem in easily and quickly. Therefore, I would like to share two methods of combining all small files in a directory into a single dataset…

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Data scientist was coined the sexiest job of the 21st century and with good reason. In LinkedIn 2020 Emerging Jobs Reports, Artificial intelligence was named the ‘Jobs of Tomorrow’ due to its strong presence. Furthermore, the potential application of data science in multiple industries has attracted people from all…

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90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody…

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Some of you are highly organized, disciplined, and keep all your belongings arranged in an ordered manner. You can easily remember the location of all these items and will be able to fetch them in a short time. But there are people who are highly unorganized and keeps all their belongings in a random manner and will have no clue on where to look for an item when they really need it. This results in a search operation on all storage spaces in the house when they want to fetch an item. There is… Continue

You are familiar with the term data lake. A data lake is a repository used to store unlimited volume of data. These days, most of the cloud service providers allow us to host scalable data lakes for storing data as it arrives. For using these data lakes, it is not required to structure the data and we can run different types of applications on it. Usually they are applications for big data analytics and machine learning. These applications need entire data to be present in one data lake and… Continue

Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is…

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Why do we need Learning Sprints?

Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they are hiring data scientists and engineers, data analysts, and they are making huge investments into cloud, big data technologies and AI, amongst others. Virtually all employees need to unlearn what they have assumed to be true for decades, and they have to acquire new skills. Time and money are the big…

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The ability of companies to provide great healthcare has always been reliant upon data. Before the widespread adoption of technology, important information came from medical exams, checkups, and direct communication between physicians. …

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Summary:  A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.

 

A little reminiscence, or for those of you who are only recently data scientists, a little history lesson. 

Our profession of…

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By 2027, the big data market is estimated to grow to USD 103 billion. And by 2022, the global big data and analytics market is predicted to grow to USD 274 billion, statistics backed by Statista.

The scarcity of talent in the big data industry is being wooed by hefty pay packages, but only to those with extensive knowledge in big data tools and technologies.…

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