World of Data Science For Non Engineers

 R egression Analysis is a statistical technique or a tool that has following objectives/benefits.         1.)   Regression analysis indicates if the relationship between the variables is statistically significant.        2.)   It indicates the relative strength of the independent variables(x) on the dependent variables. In simple terms it helps us to determine which variable is the more important to predict the dependent variable (y)         3.)   Make predictions. Suppose we have got a dataset where we have to predict the house price based on few variables such as a size of the house, location of the house, regression analysis will helps us if these variables (location, size) are actually important/significant for predicting the price of the house. It will also tell us which factor/variable is more important in helping us predicting the price or as earlier said the strength of each variable; also regre...

 A s we all know that Data Science is an interdisciplinary subject and requires the knowledge of several other fields such as Statistics, Python, Machine Learning and much more. The question arises to what is or should be the first steps to Data Science? What should be the first discipline that you should focus? What is the building block of Data Science? Which discipline is more important and Why?   What are the first steps towards Data Science? As we have read everywhere that all the disciplines hold equal importance, however, as far as the first discipline is concerned you should concentrate on STATISTICS for the following reasons.   We all know that Data Pre-processing is the one of the preliminary step in the project of any Data Science project, this step includes, cleaning the missing data, imputing the missing data, checking the importance of various variables, and their correlation with the other corresponding variables or the dependent variable. Here, you nee...

  Data Science is used almost everywhere in commercial and non-commercial settings, its use cases can be seen in various industries from Finance, Banking, Ecommerce, Social Media and elsewhere. In today’s world when data gets generated every second, we need to leverage this data for making sound business decisions. It is used in every day operations to gain insights into customers, products, processes. Corporations use Data Science to improve their customer experience as well as to upsell or cross sell their products. Ecommerce websites uses data science to recommend the products by capturing the data of what we have searched; also Advertisements are also displayed for the products of user’s interest on the basis of Data Science. How to Become Data Scientist? Data Scientists requires the knowledge of a 1.)   Programming Language (R/Python)     2.)   Statistics     3.)   Mathematics     4.)   Machine Learning     5.) ...