Since I have been teaching data analytics in India for the past month, I have been searching for an example of text analytics using R. Several months ago I saw a demonstration […]
Text Analytics: Forecast = Cloudy
Why we love these 5 data visualization tools (and you should, too!)
If you are from the finance, sales, marketing or operations sector, then you must have noticed that massive data is crawling into your everyday life. No doubt it will keep growing with […]
Data science sexiness: Your guide to Python and R, and which one is best
At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from […]
Exponential Smoothing of Time Series Data in R
This article is not about smoothing ore into gems though your may find a few gems herein. Systematic Pattern and Random Noise In “Components of Time Series Data”, I discussed the components […]
16 courses to learn R in 2016
Do you want to learn or get better at R programming? If yes, you will love the list below. I have compiled a list of free and paid R programming courses. Most […]
Microsoft R Updates, IBM’s Fraud-Detection Analytics Buy: Big Data Roundup
In our big data roundup for the past week, we’ve got news from Microsoft about what it’s been doing with statistical modeling language R, IBM’s acquisition of a real-time fraud analytics company, […]
Microsoft quietly unwraps a big-data analytics platform based on R
Microsoft has an advanced-analytics platform of its own based on the open source R programming language Microsoft this week took the next step following its acquisition of Revolution Analytics last year by […]
Microsoft rolls out its R Server big-data analytics line-up
Microsoft R Servers for Hadoop, Teradata and Linux — seemingly, the renamed version of Revolution Analytics’ commercial versions of its analytics products — are available to MSDN subscribers. Microsoft quietly made available […]
Unobserved Component Models in R
Introduction In my last Time Series article, “Components of Time Series Data,” I discussed the trend, seasonal and cyclical components of time series data. Here I will discuss an effective method for […]
Upcoming edX Courses in Analytics & Data Science
For those looking for free Analytics & Data Science Training, here are some upcoming sessions that may be of interest: Explore Statistics with R (Starts: Self-Paced): Learn basic statistics in a practical, experimental […]
