How to become a Data Scientist!

Visualization techniques is an essential skill for a data scientist, data visualization is the method to transform the information into the graphical representation to understand the data easily to pull out meaningful insights from the data. Data visualization helps to identify the patterns, outliers, and trends in a large dataset. The visualization is also referred to in many ways, such as information graphics, statistical graphics, and information visualization.  Data visualization is one of the processes of the  project life cycle   when we are working on a data science project, after collecting, processing and modeling the data. The last thing we need to make that the conclusion that is made by the visualization. With visualization techniques, we follow the data presentation architecture that is the identification, manipulation, formation, and delivery of the data in more efficient ways.  There are several different tools for visualization used by individual industries. Her

This is something which I assume that most of us are coming across lately that " A data scientist is a professional known as the sexiest job of the 21st century ". If you are a Data Science enthusiast or if you want to pursue a career in Data Science, it just means that you have to keep on learning and updating.  So, who is a Data Scientist? A Data Scientist is a professional who works on a large amount of data and can extract insights through them. Data Scientists act as storytellers who communicate with the other professionals working in other domains, as they cannot understand the data terms. Background needed? Many of us who want to pursue a career in Data Science, have their doubts that is it really necessary to be from a programming background to get into a career like Data Science. I would rather say no, it is not compulsory that you need to be from a programming background. But you have your basics clear in Math and Statistics.  Is it hard to study Data Sc