Data Science

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5 reasons why data scientists should use blockchain
5 reasons why data scientists should use blockchain

Turn up yourself around, and chances are you will definitely find a brand-new application to this entire piece of innovation every other time. But when we talk about the Blockchain Marketing benefits then some of the quick questions appear in our mind like: Why is it...

The perks of being a Data Scientist

As the field of data science becomes more popular, plenty of job opportunities are now available. If you are looking for data scientist jobs, you can find fresh listings on quite a few job portals every day. Even if you’re considering a change in your career or just...

8 common pitfalls that can ruin your predictions

Do you remember that feeling when you plan everything very precisely, but something happens unexpectedly and ruins your plans? It’s always an awkward situation, but it can also be a costly mistake in case it’s related to your business. Making a poor estimation is not...

Top quick wins to boost your data analysis using Python

Python is a general-purpose programming language that is becoming an increasingly popular tool for data analysis. Its simplicity allows quick learning, so many data scientists choose Python for their professional needs. With the average national salary of Python...

Docker use cases – How to handle big data with Docker

Docker containers provide a way to package applications with everything needed to run them, including base operating system images, databases, libraries, and binaries. By running a Docker engine on a host machine, Docker containers interact solely with the kernel of...

Cognitive computing: Moving from hype to deployment

Although cognitive computing, which is many a times referred to as AI or Artificial Intelligence, is not a new concept, the hype surrounding it and the level of interest pertaining to it is definitely new. The combination of hype surrounding robot overlords, vendor...

What skills do I need to become a data scientist?

Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through...

Review of top 10 online Data Science courses

As more and more of life’s day-to-day work and personal activities are being simplified by Big Data technologies, the need for data scientists has risen remarkably for the past several years. Companies around the world scamper desperately to grab people with data...

R – What’s in it for me?

Although R has been around since the 90’s it’s only become widely known in the last few years. The explosion of data being produced by websites, the Internet of Things etc has led to great interest in how to analyze and use that data to best effect which is where R...

Four things you need to know about Cluster Programming

In the world of Big Data, information has evolved from being a merely passive construct into an active and dynamic abstraction. The language of this information is the computer code, but before diving into cluster programming, there are several things that you must...

Top 10 high paying countries for data scientist

Data—we are surrounded by it. We create 2.5 quintillion bytes of data every single day. More and more industries have begun to leverage data for business growth. And this has given rise to the big data revolution. The demand for data scientists has seen a steady rise...

This is how a typical day of a data scientist looks like

Data drives companies’ success. It is very important to manage data because it runs systems, businesses, academies and dialogue. We can predict natural disasters, improve social media reach, dethrone anarchists and sell more stuff using data. But how exactly do we use...

Top big data misconceptions debunked

The idea and concept of “Big Data” has been around for a while now, however it seems there are many people who still believe it is shrouded in mystery. Therefore, in the following post we are going to debunk some of the top big data misconceptions. Every business has...

Using data science for predictive maintenance

Remember a few years ago there were two recall announcements from the National Highway Traffic Safety Administration for GM & Tesla – both related to problems that could cause fires. These caused tons of money to resolve. Aerospace, Rail industry, Equipment...

What Pokémon has got to do with big data?

Last weekend I went to the park to take my baby daughter for a walk, but I knew that it would be a walk with an extra level of intrigue above the usual cooing, dribbling, and occasionally uncontrollable bawling. No, on the previous day I downloaded PokémonGo onto my...

Cohort analysis: Retention Rate Visualization with R

When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter in this post. Last year I shared several charts for Customer Retention Rate visualization in this post. However, it...

Treat your data like an asset – Not an inconvenience

How do you look after your valuables? Do you use a safe deposit box or a postcode marker pen? You probably have the software installed on your smartphone to track it if it gets stolen, and no office is truly secure without CCTV. Taking care of business assets is key...

How your small business can use big data successfully

The great thing about small businesses is their intimate appeal and unique nature. Without the little guys, the business world and the products and services it delivers would be homogenized and dull. But enterprises are constantly looking at ways to dominate the...

Do you need a Chief Data Scientist?

If you are considering recruiting a C-level executive in charge of data science, you are not alone. More and more analytics-driven companies are finding office space for this critical role. Even the Commander-in-Chief is jumping on the chief-of-data-science bandwagon....