Analytics, BI & Data Integration together today are changing the way decisions are made. The science of data is evolving rapidly as we are not only generating heaps of data every second but also putting together systems/applications to integrate that data & analyze it. BI & Predictive Analytics is important and provide actionable insights but… Read more Real-Time Data Ingestion – Kinesis Overview
A common question that a consultant stumbles upon is as to which tool suits best for the business requirements. Recently, I was asked a question by a recruiter as a part of an interview that if I had to choose, which BI tool was the best in the market & how would I proceed with… Read more MicroStrategy or Tableau
We have often heard of optimization as a subject more relevant to Operations Research. But as a Data Science student, I got an opportunity to explore Genetic Algorithms in the field of data mining & machine learning. It is interesting that Darwin’s theory of evolution is an optimization process and there have been many research… Read more Genetic Algorithms in Data Science
Data Mining and Analytics is a field to seek answers from an ocean of data. One of the interesting field of mining is Text Mining. As I started exploring that field, I looked for the inspiration behind Opinion Mining and Sentiment Analysis. This blog is a quick introduction to the Text Mining topic with W-H questions… Read more Opinion Mining & Sentiment Analysis
As a part of Descriptive Statistics, in the previous blog we looked at what are the basic descriptive statistics that one can start with. This blog extends that idea further to explore the data in hand and get a more detailed picture. The basic descriptive statistics are the central tendency (mean, median, modes, etc.), the… Read more Exploratory Data Analysis: 1-o-1 meeting with your Data
Statistics can be divided into branches of which one is Descriptive Statistics. Descriptive Statistics is about studying the data we have in hand. It is not used to draw any implied inferences. In Descriptive Statistics we perform basic graphical and quantitative analytics. Such statistics is used so that we can denote or highlight the behavior/characteristics… Read more Descriptive Statistics – Short & Crisp Description of your Dataset
This article talks about Simple Linear Regression from the scratch – From different types of regression to concepts underlying for evaluation of a model to predicting future values based on regression. The topics covered are – Introduction Some properties of Simple Linear Regression Model Types of Regression Estimating the Best Fitting Line Properties of Least… Read more All about Simple Linear Regression
Probability Distributions are used as an aid in Businesses while making Financial Risk Assessments, Inventory or Sales Forecasting, Annual Planning, etc. They are also used to determine the probability of demand for certain product or probability of number of people visiting the store in specific time interval and so on. This article mentions basic Discrete… Read more Probability Distributions
As the aspiring data analysts and scientists, we have been reading on every second web link that probability lies as the bedrock of the data science. However, we often fail to understand why we should study probability and how it makes relevance. In this article and some other following articles, I have tried to put… Read more Probability for Data Science
I, recently, read a blog from Harvard Business Review, which mentioned that linear regression is the business world’s most preferred technique for establishing relationship between variables. Apparently, it is the basic tool to predict future outcomes. As we understand, linear regression is all about predicting a value of a variable (dependent variable) based on other… Read more Assessing Linear Regression Model
