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Posts Tagged "data science"

Interview with Ravi Vijayaraghavan, Vice President and Head – Analytics and Decision Sciences, Flipkart.com

After completing his undergraduate in Engineering, Ravi Vijayaraghavan went on to do his PhD. His PhD thesis was, in the then (1990s) emerging area of computational modelling and optimization. This is where Ravi first developed skills in Numerical/Mathematical Modelling, Statistics, Optimization, Non-linear Systems and emerging Machine Learning techniques such as neural networks. He then joined Ford […]

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Top 10 Python Libraries for Data Science in 2018

I suppose all of us listen to new songs on the web and forget them in the long run. We might at the best remember the genre or the tune when we hear it after a long time. What if you had something that saves your browser history and lets you create a spreadsheet of […]

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Introduction to Data Visualization In Python

     -     Jan 13th, 2018   -     Data Analytics   -     0 Comments   -    , , , , ,

Introduction Data is everywhere and part and parcel of every business or processes functioning a business or in simpler an eternal resource, but very little people realized its importance before this era of the surge towards data-intensive applications.  The biggest reason attributed so far for the delay of coming of this data age where data seems […]

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8 Popular Types of Data Visualizations in Python

Introduction Data Visualization turns data into images that nearly anyone can understand making them invaluable for explaining the significance of digits to people who are more visually oriented ~Jonsen Carmack   Not everytime the numbers will sound meaningful to people working with data. This is where Data Visualization comes in. It is a technique of […]

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Interview with Naresh Mehta, AVP – Data Science & Analytics, Zomato

Started as a consultant with ZS Associates after the dual degree in mechanical engineering from IIT Madras in 2007 – this is where Naresh Mehta‘s journey started more than a decade ago, became an advanced user of SAS & Excel and realized the power of data. Moved to consumer behaviour analytics in 2010 when he […]

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Python for Data Science Cheat Sheet – A Beginners Guide

I am pretty sure whenever you would have tried to teach yourself Data Science, You must have felt completely exhausted and there is nothing wrong in that as Data Science is ever growing field with thousands of packages and hundreds of programming functions out there in the data science world!  But Don’t you worry, don’t […]

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Data Science Behind Display Ads in Digital Marketing: Webinar Recording

     -     Dec 13th, 2017   -     Data Analytics, Webinars   -     0 Comments   -    , , ,

Vizury’s Senior Data Scientist Kushal Wadhwani led an interactive webinar for the community on the role Data Science plays behind Display Advertising in Digital Marketing fraternity. Herein, the focus as laid on getting into the intricacies of key variables, understanding the interaction of variables and how it affects the selection of the algorithm. Let’s have […]

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Demystifying Data Science and Big Data

     -     Aug 30th, 2017   -     Data Analytics, Infographics   -     0 Comments   -    , , , ,

The growth in data, and therefore its power in driving business value and competitive advantage is making a striking expansion.  In the data space, the growth of data has led to a number of innovation in terms of technology, processes, and models. The terminologies that appear to cause a lot of confusion to the outsiders […]

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Data Technology Landscape and Evolution of Data Science

     -     Aug 10th, 2017   -     Data Analytics   -     12 Comments   -    , , , , , , ,

Introduction The human civilization started to curate, interpret and summarize data very early on, in order to bring out the value and insights.  Patañjali (prior to 400 CE), compiled the Yoga Sūtras in 196 sutras, in an attempt to simplify the yogic science. Another example of applied data science is classification, where the Greek philosopher, […]

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What Statistics Should I Know to Do Data Science?

     -     May 1st, 2017   -     Data Analytics   -     0 Comments   -    , , ,

Data Scientists extract unstructured and structured data and process it through analytics into the proper format. For being a Data Scientist one needs to have proper thinking and analytical skills or else you’ll fail to become a data scientist. Data Science is a conceptual interpretation to unite statistics and analyse data with the related methods. […]

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