My First blog

HOW TO BECOME A DATA ANALYST? Data is the new oil of the modern era. In the world of the internet, it's strenuous to keep a vet on  your data privacy. Every organisation crystal clearly relies on the data to make respective business decisions- which new products to develop , customer base , time slot of investment etc. In almost all business firms , the job of the data analyst is to assign a numerical figure to all these significant business decisions which eventually results in the growth of the company.  In the universe of technology, data has all the answers but the fulcrum is hitting the spot question And this is the job of Data Analyst. A data analyst collects, processes and performs statistical analysis on large datasets.  One of the core reasons why everyone is jumping onto the field of data is that they are highly paid. Now let’s focus on the  point of the article!!! Descriptive analytics examines what happened in the past: Monthly revenue, quarterly sales, yearly website t

With the aid and advancement of technology, we have witnessed it's application spreading across all domains and spheres of life. Artificial Intelligence, Machine Learning , IOT , Blockchain are considered as the next big thing in the world of technology and the same applies for Deep Learning. From snapchat filtering to image-voice recognition, and from medical image processing to stock market prediction, all these are the use cases of Deep Learning.  Artificial intelligence, Machine Learning and Deep Learning are some of the buzzwords which hovers in everyone’s mind these days. Well,  you might know all these are interconnected but lets jump on to exact essence of the each: ARTIFICIAL INTELLIGENCE:   AI implies getting  a computer to mimic human behavior in some way. MACHINE LEARNING:ML is a subset of AI and it consists of the techniques that enables computers to figure things out from the data and deliver AI applications. DEEP LEARNING: Deep Learning is a subset of ML that enables