Six Different Types of Questions that can be Asked for Data Analytics Project!

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If you are a Data Analyst then you must know that doing data analysis requires quite a bit of thinking. And if you’ve completed a good data analysis project, of course  you’ve spent more time thinking and design  than doing. The thinking begins before you even look at a dataset, and it’s well worth devoting careful thought to your question. Before […]

5 Core Activities of Data Analysis | Epicycles of Data Analysis

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“If you torture the data long enough, it will confess.” -Ronald Coase, Economist Data analysis is an iterative process.  This process is  applied to all steps of the  analysis and it can be considered as an epicycle. Now the question is what is epicycle? An epicycle is a small circle whose center moves around the circumference of a larger circle.  Some […]

The 4 Types of Statistics Concepts all Data Scientist should know!

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Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital. -Aaron Levenstein, Business Professor at Baruch College What is Statistics Good For? Statistics is the discipline of analyzing data. As such it intersects heavily with data science, machine learning and, of course, traditional statistical analysis. In this post, I orient you to statistics by covering […]

Top NLP (Natural Language Processing) Products in the Market! – 2017

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In recent years, Natural Language Processing (NLP) technology has progressed quite rapidly in spite of many challenges. The trend is expected to continue with further advancements in the coming years. Today, there is a plethora of diversified NLP solutions featuring new age technologies. As new solutions come along at a rapid pace, the need emerges for an objective method to […]

Who is Data Engineer?

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One of the key members of a data science team is a data engineer. A Data Engineer is a person, fully equipped with knowledge of hardware, databases, data processing at scale and computer engineering and who can build data infrastructure, manage data storage and use and Implement production tools. What does a data engineer do? Data  engineers might do things […]

Top 5 Python Libraries for Data Visualization

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Data visualization is a pictorial or graphical format of the presentation of data. This graphical representation helps  decision makers to see analytics presented visually. So, they can get difficult concepts and identify new patterns easily form the data. On the other way interactive data visualization helps to drill down into charts and graphs to get  more details and finding insights very […]

15 Popular Python Libraries for Data Science and Analytics – 2017

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In the past few years, Python has gained a lot of attraction in Data Science industry. Some of its most useful libraries make Python extremely useful for working with data. As a result, Python tops 2017’s most popular programming Languages. In this post I want to outline some of its most useful libraries for data scientists and machine learning engineers. […]

List of Disruptive Companies Differentiated by Intelligent Applications Using Machine Learning

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Machine Learning is changing the world. It is really exciting to do Machine Learning nowadays because we are really seeing lot impact from it. Today, we are seeing lot of power from intelligent applications as they are using machine learning. In fact, if you look at industry after industry and successful companies, they are taking the market and completely changing […]

List of 20 Very Useful R Packages for Data Scientist

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R has been one of the fastest growing programming languages of the last decade. It is no doubt one of the top programming choices for data scientists. Across all major surveys, R consistently ranks among top ten languages. R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R […]