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…

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…

Introduction

I was formally (1998-2016) a Senior Research Fellow in the Institute of Educational Technology (IET) at the Open University (OU) in the UK.  It was in that context that I first started thinking about the potential of Learning Analytics in my field which is Accessibility of eLearning and Disabled Student Support.  Looking back through my work-related blog (…

Data science is becoming the pulse of the industry as they provide the minute details to speed up marketing campaigns, enhance business opportunities, drive excellence and earn profit in business by making intelligent decisions. 

As a result, the job market for data science professionals is proliferating. The scope in the field of Data Science is vast and opens up several innovative opportunities by 2020 and beyond. Learn data science skills and become one among the…

Aren’t all good data scientists’ great data scientists? As much as we’d like to think good data scientists to be great data scientists, it isn’t. No doubt good data scientists are a rarity. But great ones are even more difficult to find. It is a bigger challenge like finding a needle in a haystack.

Data science industry is a thriving industry. Multiple organizations have started implementing data science practices for better future predictions. Moving to a data…

In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…

Data science has become an integral part of a 21^st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by

1. Improving their current processes for better operational efficiency thereby reducing costs
2. Growing current business and opening new revenue streams
3. Streamlining supporting functions including HR

There are much more industry applications and…

Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platforms to extract insights from data, several academic institutions are incorporating data science into their operations and educational curriculum. This helps them engage students, improve educational…

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.

1. Common Assumption: People skills are just "fluffy" soft skills

Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…

A complete guide to K-means clustering algorithm

Everything you need to know about a top algorithm in Machine Learning

The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

Price errors and their impact:



Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…

This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” 

You can find part 1 here: “Choose a domain which enables you to create…