Your Journey Towards Being A Professional Data Mining Specialist:

An image of a professional viewing visual represntation of a data

The data mining specialist began her career as a college student and hasn’t looked back. She began her career as a network administrator for huge organizations before teaching people how to use cutting-edge software innovations that are forever changing the face of digital marketing!

Data mining is a financially rewarding and professional job path. There are other paths to success in this industry, but the most well-known one requires an undergraduate degree, preferably in computer science, data science, or information systems.

0-9You’ll need to grasp how to do statistical analysis on data and how to create predictive models. Coursework in business intelligence is a good preparation for data mining specialists who must be able to apply data analysis to real-world business challenges.

The world of data is intriguing and full of opportunities, and the subject of Data Science is no exception. If possible, seek an entry-level position while still in college so that you may learn everything about the company before graduating. After graduating from high school, investigate the options for Data Analysts – there are plenty!

Pursuing A Master’s Degree In Data Science Is A Good Idea:

A graduate degree almost always increases your earning potential and positions you at the cutting edge of technology – yet not all universities offer concentrations in this subject! That is not to say that advanced education is unavailable: some degrees are currently available through prestigious institutions such as MIT or Carnegie Mellon University. Even if your school does not offer an official program, you should continue attending classes to stay current on industry developments throughout your career.

Specialist In Data Mining:

Specialists in data mining operate in a variety of disciplines. They may opt to begin their careers in data mining by working with cutting-edge teams, or they may choose to become software developers or computer manufacturers themselves – the choice is all up to them!

Specialists in data mining are those who can develop algorithms for predicting and identifying trends in data. They employ statistical techniques, computer technology, and multidimensional databases to save information about trends in our records that may be significant or beneficial to the success of our business partners. Data visualization is also a critical talent since it enables someone to translate raw numerical data into a visual format, which helps them make sense of it all – especially when there are a lot of numbers involved!

To thrive in data mining, an expert must possess a unique blend of technological, business, and interpersonal skills. The position needs the capacity to handle difficult problems through the collection and analysis of huge volumes of data while maintaining effective communication with team members.

It is frequently stated that a data mining expert must possess encyclopedic understanding of the subject. This is not accurate at all! In fact, they must be able to efficiently work with massive datasets using technical abilities such as SQL and NoSQL, Java and Python for programming, and Hadoop. These are only a few instances; there is no single skill that qualifies them as specialists; it takes a combination of several different ones! “

According to Ms. Mariana Joseph from Techfetch RPO (, best rpo providers in usa,”

Data mining specialists have had a significant impact on the worlds of data analysis and computer programming; they are responsible for extracting, analyzing, integrating, and adhering to legal requirements in order to create reports related to business operations. Data miners earn an average salary of $67-100K per year, which is largely dependent on their years of experience and knowledge of data mining techniques”. Read More

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Is Mining Search Keywords Some Kind of Data Mining Task?

Recently I noticed there are many keyword research tools are available in digital marketplace which help to identify niche keywords for promoting or advertising of specific product. Some businesses also lately eager to find search keywords which are relevant to their product or service promotion. Among other reason is because optimizing search keywords is critical to get a higher ranking in the current search engines. In term of data mining task, the data source here are the biggest on-line database (WWW), specifically search keywords of the available search engines.

Before we start, let me explain why search keywords are important to many search engines. For example, Google’s seach engine does the work for you by searching out Web pages that contain the keywords you used to search, then assigning a rank to each page based on several factors, including how many times the keywords appear on the page. Higher ranked pages appear further up in Google’s search engine results page (SERP), meaning that the best links relating to your search query are theoretically the first ones Google lists.

According to the Microsoft adCenter Labs, keyword research technology goes beyond traditional data mining because of the scale and scarcity of the data. For example, in the study of keyword semantics alone, there are many potential relationships such as synonymy, antonymy, similarity, membership, attribute, causation, hierarchy, and substance. Tools in the Keyword Research category exploit such relationships between the keywords.

We know that data mining tasks include classification, association rules, dependence modeling etc. Well, I can say that at least research keyword tools are belong to association rules task because this data mining tool provides a graphic view of the associations between entities by mining the co-occurrences of entities in search queries or search sessions. Such associations will be useful when creating query suggestions or analyzing user search patterns.

I have managed to try one keyword research tool available in the market called Keyword Research Pro. Keyword Research Pro pulls keywords from the biggest databases online, adding up to several million keywords. No other keyword tool is able to pull keywords from so many different keyword sources. In addition, it has a built-in ‘auto-digging’ feature that will dig down multiple layers of keywords to return to you the desired number of keywords you require. So for example, if you require 1,000 keywords for ‘weight loss’, Keyword Research Pro will fetch keywords and ‘auto dig’ until it returns you 1,000 ‘weight loss’ related keywords. Keyword data sources include:

– Google AdWords Keyword Tool
– Keyword Discovery
– Wordtracker
– 7Search
– Miva
– YouTube
Keyword Research Pro will not only tell you how popular any keyword is, it will also tell you how much competition there is, how many people are advertising on those keywords, how much they are paying, their actual ad copy, you can even view your competitors actual landing pages!

Keyword Research Pro Analysis Options:
– Competition: Google, Yahoo & Bing (Phrase or Broad Match, AllInTitle (default) & AllInAnchor)
– Search Volume: Google (default), Wordtracker, 7 Search, Keyword Discovery
– Keyword Effectiveness: Keyword Effectiveness Index (default) & R/S Ratio
– Pay-Per-Click Info: Average Cost-Per-Click (Broad, Phrase, Exact) and Competing Ads (Analyze competitors’ PPC ad copy and actual landing pages with ease!)

For More Information about Data Minining click here

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Hot Udemy Big Data Courses for $19 Now

Are you looking to upgrade your Big Data skills? Great news because popular online course Udemy is having a hot promotion. Get any course for $19, up to 90% off usual price! The offer expires April 29, 2015. Among Big Data courses to grab are:

Master Hadoop Cluster Administration – mastering the Hadoop Cluster Administration with multinode setup.
Become a Certified Hadoop Developer – learn Hadoop from an expert, get certified & bag one of the highest paying IT jobs in current times.
Learn Hadoop, MapReduce and BigData from Scratch – a Complete Guide to Learn and Master the Popular Big Data Technologies.
Learn NoSQL Database Design From Scratch – the Complete Guide to Master NoSQL and MongoDB.

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Big Data News 23 Apr 2015

Big Data News Highlights:

The Third Phase of Big Data

The demand for higher-capacity, higher-performing systems is driving us toward the third phase of the Big Data revolution. In the first phase, we saw …

Big Data Looms as Next Battle in Europe

Wall Street Journal
“I think big data is the next big topic” in the European Union for U.S. technology companies, said Alec Burnside, an antitrust lawyer with Cadwalader, …

How Big Data Is Changing Healthcare

If you want to find out how Big Data is helping to make the world a better place, there’s no better example than the uses being found for it in healthcare.

To Benefit From Big Data, Resist The Three False Promises

Big data solution providers make big promises. Just plug your data into our solution, they say, and we’ll deliver a stream of insights that allow you to …

Surge in real-time big data and IoT analytics is changing corporate thinking

Big data that can be immediately actionable in business decisions is transforming corporate thinking. One expert cautions that a mindset change is …

How Large Companies Are Building Big Data Teams, And How Startups Can, Too

Big data is big business, but it can be hard for startups to understand how they can get in the game. Fortunately, the same tactics that Fortune 500 …

From Big Data to Big Bets on Food Science

Modern data science started at places like Google, Amazon, LinkedIn, and Facebook. Yes, mathematicians have practiced statistical analysis since …

Twitter and Big Data Could Predict Emergency Room Rush Hours

Research that will be published in the IEEE Journal of Biomedical and Health Informatics combines Twitter posts and air quality and hospital data to …

2 Big Data Companies to Invest in Now

Motley Fool
According to IDC, Big Data and the analytical tools used to generate actionable results will become a $125 billion industry this year. As impressive an …

How Big Data Is Changing The CFO Role

Over the next decade, big data is going to be a game-changer and a truly disruptive force across the globe, and Syncsort is poised to continue its role …


Big Data and cloud projects can go horribly wrong. Don’t let

… before coming to completion than they are to go smoothly. But when it comes to cloud and Big Data projects, the failure rate is disturbingly high.

Teradata Data Warehouse Appliance 2800 Targets Big Data Analytics Tasks

Tom’s IT Pro
Teradata has announced the new Teradata Data Warehouse Appliance 2800. Developed in partnership with hardware maker Dot Hill Systems Corp.

Will EMC Surprise Q1 Earnings Backed by Big Data Business?

Yahoo Finance
We expect EMC’s Big Data business to drive first-quarter results as it is a fast-growing segment. According to IDC’s research, the Big Data and services …
Why Your Business Needs a Big Data Strategy

David A. Kelly of Teradata recently wrote in Forbes, “Whether you fully believe the hype or not, big data will continue to have a fundamental impact on …
How big data is changing the CFO role

Thoughts on Cloud
Big data has impacted the salaries of traditional accounting and finance professionals; they remained stagnant or declined.
Princeton consortium formed to visualize Big Data

Princeton University
With that in mind, Princeton University has formed a consortium that will share efforts to turn mountains of scientific data into eye-friendly computer …
How can East Asia make the most of big data?

Agenda – World Economic Forum
While many CRE professionals have embraced big data, there is still a disparity between aspiration and reality. According to a new Forrester …

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