Digital Marketing & Data Analytics Blog
Digital Marketing & Data Analytics Case Studies, WhyTos, HowTos, Interviews, News, Events, Jobs and more...
Comprehensive Guide on How to Earn Money from Google
How to earn money from Google? This is one of the most popular questions that is asked by a majority of people. Google is indeed a great opportunity to earn money at your convenience. If you are following the right things and doing them in a correct manner then you can earn well from Google […]
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What are the Best Career Options after Graduation?
Gone were the days when only a few career options after graduation like MBA were considered. With the advancement in technology & education system, a plethora of career options are available for students to pursue after graduation. The completion of graduation is marked with two kinds of feelings. One emotion is happiness for crossing a […]
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Why Is CDMM Certification Your Best Choice For A Digital Marketing Course
With over $327 Billion spends in online advertising globally, Digital Marketing is one of the fastest-growing industries today. Asia is leading the trend with over 55% annual growth. In this era, Digital Marketing is the most lucrative industry & Digital Marketing skills are in serious demand. As Asia’s leading Digital Marketing education firm, Digital Vidya has been contributing to the […]
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Interview with Ram Jalan, Chief Marketing Officer, Omaxe Limited
Pradeep Chopra, Co-Founder at Digital Vidya: Digital marketing has changed dramatically over the last 15 years. The main reason behind this drastic change is the technological revolution. Digital Marketing has been around for a while now, and it’s more important than ever. Not only it has provided lucrative opportunities to advertisers & marketers but also has […]
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A Beginner’s Tutorial of Dimensionality Reduction
Dimensionality reduction is a process of simplifying available data, particularly useful in statistics, and hence in machine learning. That alone makes it very important, given that machine learning is probably the most rapidly growing area of computer science in recent times. As evidence, let’s take this quote of Dave Waters (among hundreds of others) – […]
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Is the Ethical Hacker Salary About to Witness a Big Boom in 2019?
The term hacking dates back to the era of Alexandar Graham bell where the hack was intended to get the insider information about how the system operated. With the advent of computers in our lives, the meaning of “hacking” altered to a greater extent. It is worthwhile to know that the first hack of the […]
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Discriminant Analysis: A Complete Guide
Discriminant analysis is a vital statistical tool that is used by researchers worldwide. Machine learning, pattern recognition, and statistics are some of the spheres where this practice is widely employed. So, what is discriminant analysis and what makes it so useful? Discriminant analysis, just as the name suggests, is a way to discriminate or classify […]
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Interview with Nitya Rambhadran, Digital Marketing Participant
Nitya Rambhadran is from Pune. She started working in a BPO sector while pursuing her graduation in Commerce. After working in the BPO industry for 8 years and having worked with different organizations during that period, it started getting very monotonous for her. Hence, she decided to switch her career. While doing the research for […]
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How to Use Analytics to Succeed as an Organisation-Webinar Recording
One of the hottest topics that are trending these days is the use of Data & Analytics in driving better business decisions. With the emerging popularity of analytics, some organisations have already started making a strategic plan for analytics and are achieving great benefits from analytics with the perfect blend of data & information. However, […]
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Applying the Markov Process to Data Science
Imagine that you’re trying to predict consumer demand for your product based on the present situation. How do you do this accurately so that you are able to build your strategy around a highly probable estimate? Enter the Markov Process. The traditional approach to predictive modelling has been to base probability on the complete history […]
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