Rapid Fire on Data Analytics

The most popular statistical methods used in data analytics are – Linear Regression Classification Resampling Methods Subset Selection Shrinkage Dimension Reduction Nonlinear Models Tree-Based Methods Support Vector Machines Unsupervised Learning The most popular statistical methods used in data analysis can vary depending on the specific context and objectives of the analysis. However, some commonly used … Read more

The most popular tools used in data analytics are: Tableau Google Fusion Tables Google Search Operators Konstanz Information Miner (KNIME) RapidMiner Solver OpenRefine NodeXL Io Pentaho SQL Server Reporting Services (SSRS) Microsoft data management stack In the field of data analytics, there are several popular tools that are widely used by professionals to analyze and … Read more

Since data preparation is a critical approach to data analytics, the interviewer might be interested in knowing what path you will take up to clean and transform raw data before processing and analysis. As an answer to this data analytics interview question, you should discuss the model you will be using, along with logical reasoning … Read more

The fundamental steps involved in a data analysis project are – Understand the Business Get the data Explore and clean the data Validate the data Implement and track the data sets Make predictions Iterate The steps involved in a data analytics project typically include: Define the problem statement/objectives: Clearly articulate the goals of the project … Read more

The aim of principal component analysis is to explain the covariance between variables while the aim of factor analysis is to explain the variance between variables. Factor analysis (FA) and principal component analysis (PCA) are both techniques used in data analysis, particularly in the realm of dimensionality reduction. While they share some similarities, they also … Read more