Every product team wants to know what makes their product thrive. They want to know how to optimize metrics and leave users the happiest and most engaged. Without a way to definitively understand user behavior, they must turn to anything they can. Enter the A/B test.
Ultimately, every A/B test starts from a hypothesis. The hypothesis could be, “If we did [blank], then we would improve conversion.” Or “Feature X should drive increased retention, let’s test out that assumption through…Continue
Added by Divya Parmar on May 23, 2017 at 8:00am — No Comments
In this day and age, you can’t go a day without hearing terms such as “data science,” “big data,” or “analytics.” These terms have been thrown around to apply to so many situations that the original meaning of these words is lost.
So, what does it take for any organization to be successfully data-driven? Although analytics may seem complicated, the solution comes from simplicity.
I believe it comes down to four things, as I’ve illustrated below: business need, clean data…Continue
Learning any new skill is hard. There are too many possibilities, and the goal seems massive and intimidating.
Enter the Pareto Principle.
The Pareto Principle, also known as the 80/20 rule, suggests that 80 percent of results come from 20 percent of efforts. It can be applied to everything from business to language, even learning how to use R.
With just a…Continue
Added by Divya Parmar on December 3, 2015 at 8:42am — No Comments
Building off my last post, I want to use the same healthcare data to demonstrate the use of R packages. Packages in R are stored in libraries and often are pre-installed, but reaching the next level of skill requires being able to know when to use new packages and what they contain. With that let’s get to our example.
Added by Divya Parmar on November 10, 2015 at 12:36pm — No Comments
Added by Divya Parmar on November 2, 2015 at 9:53am — No Comments
I have written about R in the past, and it is one of the hottest tools for data analysis today. To further demonstrate the power of R, I found click-through rate data…Continue
As the amount of the data grows exponentially and terms such as big data become mainstream, the need to handle all this data has increased. Database skills have become some of the most sought-after in the job market today. SQL, which stands for Structured Query Language and is used for relational databases (RDBMS), is one of those skills. In fact,…Continue
Added by Divya Parmar on September 8, 2015 at 9:26am — No Comments
After data science, which I discussed in an earlier post, data visualization is one of the most common buzzwords thrown around in the tech and business communities. To demonstrate how one can actually visualize data, I want to use one of the hottest tools in the market right now: Tableau. You can download Tableau Public for free …Continue
Added by Divya Parmar on August 18, 2015 at 8:25am — No Comments
When you hear the term data scientist, what do you think of? If you’re like most people, you might think of something incredibly complex, with statistical terms and programming languages that are beyond comprehension. You might think that only PhD’s in computer science can do data science.
But if you peel back the layers, you’ll find that this isn’t the case. Data science, coined by DJ Patil who is now the…Continue