Data and Analytics

A brief primer on linear regression – Part II

In the first part, we had discussed that the main task for building a multiple linear regression model is to

Written by: Pushpa Makhija
Published on: 12 Jun, 2016
Data and Analytics

Effective Comparisons: Apples vs. Oranges

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

Written by: Jacob Joseph
Published on: 07 Jun, 2016
Data and Analytics

Do you need big data or smart data ? : Part II

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

Written by: Jacob Joseph
Published on: 30 May, 2016
Data and Analytics

A brief primer on linear regression – Part I

Prediction has always been a curious topic in life due to a key attribute – the extreme human desire to

Written by: Pushpa Makhija
Published on: 26 May, 2016
Data and Analytics

Do you need big data or smart data ? : Part I

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

Written by: Jacob Joseph
Published on: 18 May, 2016
Data and Analytics

Deriving better insights from Time Series data with cycle plots

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

Written by: Jacob Joseph
Published on: 08 May, 2016
Data and Analytics

Data driven marketing – Cohorts

Data is a strong suite of some digital marketers while some struggle with big sets of data. It's becoming easier than

Written by: Shivkumar M
Published on: 07 May, 2016
Data and Analytics

How to remove duplicates in large datasets

Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even

Written by: Suresh Kondamudi
Published on: 19 Apr, 2016
Data and Analytics

How to treat missing values in your data : Part II

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

Written by: Jacob Joseph
Published on: 08 Apr, 2016
Data and Analytics

How to detect outliers using parametric and non-parametric methods : Part II

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

Written by: Jacob Joseph
Published on: 31 Mar, 2016
Data and Analytics

Data driven marketing using Funnels

In my last article we saw how to derive insights from a conventional cohort analysis and drive marketing efforts where necessary.

Written by: Shivkumar M
Published on: 30 Mar, 2016
Data and Analytics

Telemetry with Collectd, Logstash, Elasticsearch and Grafana (ELG)

We are obsessed with collecting system and application metrics. This helps us make data driven, logical infrastructure decisions. When we

Written by: Francis Pereira
Published on: 14 Mar, 2016

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