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10 Big Data Online Courses
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ATIOnline
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ATIOnline,
User Rank: Apprentice
11/30/2014 | 11:37:11 PM
Re: Experience conundrum
Check out this course:

ATI's Analytics for All : Beginners to Experts course hosted in Udemy.com
lesherj
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lesherj,
User Rank: Apprentice
10/8/2014 | 1:13:47 PM
Re: Experience conundrum
Stratustician - thanks for the link to CloudU.  I'm an older but bright management consultant needing to "re-invent" myself.  I have strong statistical understanding and business process expertise but NO experience/background in recent big data tools, etc. (don't know R or Python, etc.).  I would greatly appreciate your thoughts on a curriculum path so that I could get a solid understanding of "big data" and how to utilize big data tools so that I can add value to companies seeking these expertise.
shamika
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shamika,
User Rank: Ninja
8/31/2014 | 9:18:55 AM
Re: Data Analysis and R
Further many R commands give little thought to memory management, therefore R can very quickly consume all available memory.
shamika
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shamika,
User Rank: Ninja
8/31/2014 | 9:18:14 AM
Re: Data Analysis and R
It is interesting to know about "R" programming. It will be very useful since it is an open source software which can will allow anyone to use and, importantly, to modify it.
shamika
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shamika,
User Rank: Ninja
8/31/2014 | 9:17:47 AM
Data Analysis and R
Data analysis and statistics considered as an important aspect in big data.  This will help in proving more precious  information
BernardS
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BernardS,
User Rank: Apprentice
8/27/2014 | 10:26:59 AM
Re: Coursera Data Science Specialization
You are absolutely right.  Big Data Analytics is a cross-disciplinary area based on foundations taken from Statistics, Computer Science, and Information Technology.  When you also begin to consider the data privacy issues involved you also begin to touch on legal topics as well.  I have taken a number online, as well as University graduate, data analytics courses and no one program totally encompasses the subject.  What I do find, however, is a lot of overlap of some of the same material such as basic statistics (for descriptive analytics) or machine learning algorithms (for predictive analytics).  The only thing that varies is the level of depth covered - with graduate and doctoral courses presenting advanced statistical or computer science techniques not normally addressed at the lower levels.
RBFOWLER
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RBFOWLER,
User Rank: Apprentice
8/27/2014 | 9:34:13 AM
Re: Coursera Data Science Specialization
While the Johns Hopkins courses are heavier in big data itself, the Duke courses are more general and provide the analytics background needed to jump into big data.  I'm actually shocked at the number of people (present company excepted, of course) who think big data analytics do not use the same skills as plain data analytics.  The concerns for data quality, statistical significance, hypothesis testing, etc. apply to analysis of all data sets, regardless of size.  Training in the basics, and use of them in a more typical analytics process, can provide the experience needed to move into the big data world.
asksqn
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asksqn,
User Rank: Ninja
8/26/2014 | 7:22:40 PM
Fairy Tales from the Corporatocracy
The writer forgot to mention that Big Business defines the term "IT Pros" as male and under age 25.  Everyone else need not apply. 
HM
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HM,
User Rank: Strategist
8/26/2014 | 3:22:29 PM

Very informative article Kevin. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. Their built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for users to analyze Big Data. Their free online introductory coursesallow for students, academia and other developers to quickly get started. For more info visit: hpccsystems.com

 

Alison_Diana
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Alison_Diana,
User Rank: Author
8/22/2014 | 10:44:06 AM
Re: Experience conundrum
The dearth of big data experts means more organizations are open to hiring or promoting people without typical big data credentials. Like you and Laurie, hiring managers have told me they've taken on people who are very motivated and passionate about big data and who are creative thinkers -- essential to unlocking new discoveries from troves of information. Perhaps one way to start would be to take some of these courses and volunteer your newly emerging big data skills at an organization. You then have multiple big data skills to add to your resume. 
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