Full Stack Data Science

Big Data as the name suggests involve examining and interpreting huge amount of data to drive meaningful insights and patterns which in turn could help organizations make intelligent business decisions in real quick time. The concept of Big Data is not new; it has been there for many years. Before the advent of complex software systems that could help organizations uncover hidden trends, insights, patterns and correlations, business organizations applied analytics on the data they had gathered to ease their decision making processes. With technological advancements and advent of advanced computing, organizations discovered new ways of analysing data that significantly reduced the analytics time and offered more agility at a reduced cost.  In this article we shed some light on a few examples of how big organizations are leveraging the power of Big Data analytics to gain competitive advantage in the marketplace. Big Data in acquisition and retention of customers No b...

There is no dearth of AI related news making headings. While some is about the surge of evil robots, others visualize a post-work world where AI makes human workers useless. These futuristic stories are amusing;though they can make it difficult to streamline the current state of AI and the manner it can add actual value to our daily lives. The truth is that, today, all AI systems dependgreatly on data. In contrast to what the media would lead us to trust, AI systems don’t work in a void. How these systems are designed, made and maintained controls their success. “Garbage in, garbage out” applies to AI systems as well, especially those supporting business users. Futuristicbusiness and IT leaders are looking for practical ways to use analytics and AI to let externally and internally facing teams to personalize interactions and manage workflow and resource distribution. All AI is not made equal Amongst the attack of tech industry jargon seen over the last few years, eve...

Data science is a rapidly emerging field. Though, there is a substantial gap between the available jobs and the professionals available to fill those jobs. Joining a data science bootcamp is a great way to build your career in the field of data science. These bootcamps usually are of the duration from six weeks to six months. These are intensive programs, which are carefully designed to prepare you for a career as a data scientist. What will You Learn to do in a Data Science Bootcamp Describe the problem It is impossible to solve a problem until you don’t know what it is. This is quite true in data science as if you don’t have any clear idea about what your question is, you are more possibly to choose inappropriate data to solve it. Put more precisely, the basis of a data science process is recognizing accurately, the question you want to answer. Data collection and processing You require the data which is suitable to solve your query. Mostly, when you f...

Artificial intelligence (AI) has now become an integral part of our lives. It’s how Amazon suggests products, Google answers our searches, and Pandora plays another song. AI allows scalable growth, and personalizes customer experiences for marketers. AI is a powerful marketing strategy as it allows marketers to outdo themselves in their roles by interacting with their customers through targeted messaging — all at scale. Here are the five ways AI can assist sales and marketing in finding leads. 1. Support Sales with Appropriate Customer Experiences Customers now expect personalized experiences and interactions through their favorite channel. AI-driven predictive content tools are allowing marketers to be more tactical, while reducing the workload.   These AI-driven marketing programs can examine your website for case studies, white papers, blogs, articles, videos, eBooks, etc. Once the content gathered, AI foresees what will appeal and ultimately convert each audi...