The role of a data scientist is highly malleable and company dependent. However, the general skill set needed is similar. To prepare for your interview, you may want to brush up on these data science interview questions by reviewing some probability, data analysis, SQL, coding, and experimental design. The questions in this article should help […]
How do I become a Business Analytics professional? I get this question frequently from both fresh graduates and experienced professionals. So I thought of writing an article that would help both the fresh and experienced professionals to get into the analytics industry. Now, let‘s dive into the approach. Subscribe to our Business Analytics certification program. Step […]
You cannot play tennis without a tennis racquet, or soccer without a football. Data science is a sport too, and you cannot play it without the right set of the tools. I’m going to give you a go-to collection of the most commonly used data science software/ tools. They are intuitive, effective, powerful, and — […]
If you are new to data science or to the big data industry, understanding complex jargon that dominates the industry can be difficult and overwhelming. With words like predictive analytics, machine learning, data munging and acronyms like IOT thrown casually in conversations, it’s easy to feel left out. Have no fear, most commonly used data […]
If you are new to Hadoop & Big Data you must be wondering what the various Hadoop job roles entail, which one you would be most suitable for and what do you need to do to get one of those jobs. Datameer’s has predicted the global Hadoop market to be $50.2 billion by 2020. Source: […]
We live in the data age. IDC has forecasted that one billion terabytes of data will be generated by 2020. This flood of data is coming from various sources. New York stock exchange generates about 4-5 terabytes of data every day. Facebook hosts more than 240 billion photos, growing at seven petabytes per month. The […]
The amount of data shared on the Internet each minute by its 3.29 billion users is mind-boggling. In each minute, 204 million emails are sent, 2,93,000 Facebook statuses are updated, 5,47,000 tweets are tweeted and 2.4 million Google search queries are made, all mostly in the form of text! Over 80% of all data in […]
Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning vs. statistics? From a traditional data analytics standpoint, the answer to the above question is simple. Machine Learning is an algorithm that can learn from data without relying on rules-based programming. Statistical modeling is a formalization of […]
Today’s Big Data professionals & aspirants will have to adapt to new technologies at a faster rate than ever before. Big data analytics is going to witness some interesting trends in the coming year, and if you want to stay ahead of the competition, you’ll have to prepare for them. Here are 7 big data trends in […]
Wall Street Journal published a very informative article on April 09 2014 titled Get familiar with Big Data Now, or face Permanent Pink Slip. The article highlighted the immense possibilities and career prospects that big data analytics is going to offer in near future. As the world gets more linked with high connectivity, every action […]
