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Choosing right data science / analytics / big data training can be confusing. This framework provides a way to select the right business analytics courses,training
Exploring time series data is critical before building a time series model. This article provides steps to explore a time series data in R.
Further to data exploration & data preparation, Article explains way of treating/handling missing values in business analytics data sets, data collection,data extraction.
Massive Open Online courses (MOOCs) provides a cost effective way to learn new skills, big data. Some good practices to learn data science from MOOCs.
Basics of time series models: How to make time series data stationary? Is random walk stationary? How and why to use Dickey Fuller Test.Guide to learn time series modelling.
The extent of data exploration, cleaning & preparation decides the goodness of a model. This article explains steps involved in the process of model building.
Weka provides a GUI to learn machine learning software. Discover the path to learning weka for machine learning and also learn business analytics using gui.
Regularization is a way to avoid overfitting problems in Regression models. Article explains how to avoid overfitting, underfitting using regularization.
Geo-Searching and Analytics using AWS Cloud Search analytics consultants solve problems related to geo location and geo radius using analytics tools
Analytics Vidhya takes an exclusive interview Ajay Ohri, decisionstats.com, writing business analytics books like R for cloud computing shares experiences.
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