All you need to know about app analytics and user engagement is right here. Read on to learn from the experts.

The fallacy of seeing patterns
Data Science
July 19, 2016

Human beings try to find patterns to explain the reason behind almost every phenomenon, but that doesn’t mean that there

I wish I had autobots for data transformation
Data Science
June 30, 2016

Being a sci-fi movie buff, I would always wonder if my variables could turn into Autobots just like the movie

How to compare apples and oranges ? : Part III
Data Science
June 20, 2016

In the part 1 and part 2 of the series, we looked at ways to compare numerical variables and categorical variables.

How to compare apples and oranges ? : Part II
Data Science
June 15, 2016

In the previous article, we looked at some of the ways to compare different numerical variables. In this article, we

How to compare apples and oranges? : Part I
Data Science
June 7, 2016

How often have you come across the idiom “Comparing apples and oranges”. It is a great analogy to articulate that two things can’t

Do you need big data or smart data ? : Part II
Data Science
May 30, 2016

In the previous article, we discussed how sampling could turn your Big Data to Smart Data and briefly laid out

Do you need big data or smart data ? : Part I
Data Science
May 18, 2016

Big Data is the buzzword of our current times. A majority of the firms either use or wish to use

Deriving better insights from Time Series data with cycle plots
Data Science
May 8, 2016

Visualizing time series data for the analysis of numerical information like revenue, app launches, uninstalls, etc. can help analysts quickly

How to treat missing values in your data : Part II
Data Science
April 8, 2016

In the previous article, we discussed some techniques to deal with missing data. We will now look at an example

How to detect outliers using parametric and non-parametric methods : Part II
Data Science
March 31, 2016

In the previous article, we discussed what an outlier is and ways to detect such outliers with parametric and non-parametric

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