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The original message has been attached to this so you can view it or label similar future email. If you have any questions, see root\@localhost for details. Content preview: 70 to 90% government support for Course. The world is generating data at an increasing pace. Consumers, sensors, or scientific experiments emit data points every day. In finance, business, administration, and the natural or social sciences, working with data can make up a significant part of the job. Being able to efficiently work with small or large datasets has become a valuable skill.   [ View in browser ]( http://r.ikompasssingapore.com/cptt468qyu7f.html )   iKompass   Data Science is a valuable skill   Our 3 days Big Data/Data Science foundation course is ideal targeted for:   Business Managers Analysts Data science analysts Developers Programmers Project Managers Operations Managers Senior Managers [...] Content analysis details: (4.3 points, 3.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: ikompasssingapore.com] -0.0 SPF_HELO_PASS SPF: HELO matches SPF record -0.0 RP_MATCHES_RCVD Envelope sender domain matches handover relay domain 0.0 HEADER_FROM_DIFFERENT_DOMAINS From and EnvelopeFrom 2nd level mail domains are different -0.0 SPF_PASS SPF: sender matches SPF record 0.0 HTML_MESSAGE BODY: HTML included in message 0.0 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar or identical to background 0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60% [score: 0.4957] 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily valid -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature 3.5 KAM_CEP CEP Diploma Mill Rule X-Spam-Flag: YES Subject: ****SPAM**** =?UTF-8?Q?Data_Science_is_a_valuable_skill?= ---------?=_68878-9003779478371 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable 70 to 90% government support for Course. The world is generating data at an= increasing pace. Consumers, sensors, or scientific experiments emit data p= oints every day. In finance, business, administration, and the natural or s= ocial sciences, working with data can make up a significant part of the job= . Being able to efficiently work with small or large datasets has become a = valuable skill. =C2=A0 [ View in browser ]( http://r.ikompasssingapore= .com/cptt468qyu7f.html ) =C2=A0=0AiKompass=0A=C2=A0=0AData Science is a va= luable skill=0A=C2=A0=0AOur 3 days Big Data/Data Science foundation course = is ideal targeted for:=0A=C2=A0=0ABusiness Managers Analysts Data science a= nalysts Developers Programmers Project Managers Operations Managers Senior = Managers=0A=0ABeing able to efficiently work with small or large datasets h= as become a valuable skill. We live in a world of connected things where to= ns of data is generated and it is humanly impossible to analyze all the inc= oming data and make decisions. Human decisions are increasingly replaced by= decisions made by computers. Thanks to the field of Data Science.=0A=0ATre= ating these algorithms as a black box and using them in decision-making sys= tems will lead to counterproductive results. With tons of algorithms and in= numerable problems out there, it requires a good grasp of the underlying al= gorithms in order to choose the best one for any given problem.=0A=0AOur Bi= g Data/Data Science foundation course provides you a good grasp of what is = involved in the fields of data mining, machine learning, and statistics.=0A= =0ACourse features:=0A=E2=80=A2 3 days classroom training=0A=E2=80=A2 Big D= ata Foundation Certification=0A=E2=80=A2 6 months of online learning with w= eekly assignments and feedback=0A=E2=80=A2 Post course online tutorials wit= h support=0A=C2=A0=0A=C2=A0=0A=0AData Science is the intersection of three = key areas:=0A=C2=A0=0ADomain knowledge Computer programming Math and statis= tics=0A=C2=A0=0ADomain knowledge is just the knowledge of the industry or f= ield one is working in.=0A=0AComputer programming is the ability to use cod= e to solve various types of problems. Many of today=E2=80=99s programming l= anguages have a syntax closely resembling general English. Picking up progr= amming is not as difficult as it used to be.=0A=0AMath and statistics is th= e use of equations and formulas to perform analysis. Many of these concepts= are from school or college days. =C2=A0Many of today=E2=80=99s freely avai= lable tools handle these complexities behind the screen.=0A=0AWhen starting= off in the field of data science, one would rely on their core strengths d= epending on which area they come from. Someone with a background in program= ming would be exploring the application of code to derive mathematical mode= ls. Someone with a background in math would be trying out coding. Someone w= ith domain knowledge would be creating hypotheses to test using code.=0A=0A= The intersection of math and programming leads to what is referred to as ma= chine learning. However, one needs to be able to explicitly generalize mode= ls to a domain so that a business problem can be addressed. Any business pr= oblem can be represented as a mathematical equation. Math and coding are ve= hicles that allow data scientists to step back and apply their skills virtu= ally anywhere=0A=C2=A0=0A3 DAY Big Data/Data Science Foundation course=0A= =C2=A0=0AUpcoming dates:=C2=A0=0A=C2=A0=0AOctober 23, 24, 25 (Mon, Tues, We= d) October 21, 28, 29 (Sat, Sat, Sun) November 1, 2, 3 (Wed, Thu, Fri) Dece= mber 9, 16, 17 (Sat, Sat, Sun) December 18, 19, 20 (Mon, Tues, Wed)=0A= =C2=A0 =C2=A0=0A=C2=A0=0A+65 66381203=0AiKompass,=0A#23-01, 391B, Ngee Ann = City Tower B,=0AOrchard Road,=0ASingapore 238874=0A[ www.ikompass.edu.sg= =C2=A0 ]( http://r.ikompasssingapore.com/track/click/1evb8godcqyu7d ) = =C2=A0=0A=C2=A0 [ Learn more about our Big Data/Data Science course ](= http://r.ikompasssingapore.com/track/click/1evb8gp5sqyu7d ) =C2=A0 = =C2=A0=0A=0A=0AThis email was sent to edward@transocean.com=0A=0AYou rece= ived this email because you expressed interest in one of our courses.=C2= =A0=0A=0A[=0AUnsubscribe here=0A=C2=A0If the unsubscribe link does not work= , reply to this email with unsubscribe in the subject line. ]( http://r.ik= ompasssingapore.com/cptt468qyu7g.html ) =C2=A0 =C2=A0=0A=C2=A9 2017 iKo= mpass =C2=A0 ---------?=_68878-9003779478371 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Data Science is a valuable skill =0A=0A=0A= =0A=09=0A =0A =0A =0A = =0A =0A=0A =0A =0A=0A =0A =0A =0A =0A =0A =0A = =0A =0A=0A =0A =0A
70 to 90% government support for Course. The world is generating= data at an increasing pace. Consumers, sensors, or scientific experiments = emit data points every day. In finance, business, administration, and the n= atural or social sciences, working with data can make up a significant part= of the job. Being able to efficiently work with small or large datasets ha= s become a valuable skill.
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Data Science is a val= uable skill
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Our 3 days Big Data/= Data Science foundation course is ideal targeted for:
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  • Business Managers
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  • Analy= sts
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  • Operations Manage= rs
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  • Senior Managers
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= =0A=0A

=0ABeing able to efficiently wor= k with small or large datasets has become a valuable skill. We live in a wo= rld of connected things where tons of data is generated and it is humanly i= mpossible to analyze all the incoming data and make decisions. Human decisi= ons are increasingly replaced by decisions made by computers. Thanks to the= field of Data Science.
=0A=0A

=0A= Treating these algorithms as a black box and using them in decision-making = systems will lead to counterproductive results. With tons of algorithms and= innumerable problems out there, it requires a good grasp of the underlying= algorithms in order to choose the best one for any given problem.
=0A= =0A

=0AOur Big Data/Data Science founda= tion course provides you a good grasp of what is involved in the fields of = data mining, machine learning, and statistics.
=0A
=0ACourse features= :
=0A• 3 days classroom training
=0A• Big Data Foundation C= ertification
=0A• 6 months of online learning with weekly assignmen= ts and feedback
=0A• Post course online tutorials with support
= =0A=C2=A0
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=C2=A0
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Data Science is the intersection of t= hree key areas:
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  • Domain knowledge
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  • Computer programming
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  • Math and statistics
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    =C2=A0
    =0A=0A
    Domain knowledge is just the knowledge = of the industry or field one is working in.
    =0A
    =0AComputer programmi= ng is the ability to use code to solve various types of problems. Many of t= oday's programming languages have a syntax closely resembling general Engli= sh. Picking up programming is not as difficult as it used to be.
    =0A
    = =0AMath and statistics is the use of equations and formulas to perform anal= ysis. Many of these concepts are from school or college days. =C2=A0Many of= today's freely available tools handle these complexities behind the screen= .
    =0A
    =0AWhen starting off in the field of data science, one would re= ly on their core strengths depending on which area they come from. Someone = with a background in programming would be exploring the application of code= to derive mathematical models. Someone with a background in math would be = trying out coding. Someone with domain knowledge would be creating hypothes= es to test using code.
    =0A
    =0AThe intersection of math and programmin= g leads to what is referred to as machine learning. However, one needs to b= e able to explicitly generalize models to a domain so that a business probl= em can be addressed. Any business problem can be represented as a mathemati= cal equation. Math and coding are vehicles that allow data scientists to st= ep back and apply their skills virtually anywhere
    =0A=0A=0A
    =C2=A0
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    = 3 DAY Big Data/Data Science Foundation course
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    Upcoming dates:=C2=A0
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    • O= ctober 23, 24, 25 (Mon, Tues, Wed)
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    • November 1, 2, 3 (Wed, Thu, Fri)
      • =0A=09
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    =0A+65 6638120= 3
    =0AiKompass,
    =0A#23-01, 391B, Ngee Ann City Tower B,
    =0AO= rchard Road,
    =0ASingapore 238874
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=0A = =0A = Learn more about our Big Data= /Data Science course=0A = =0A =
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This email was sent to edward@transocean.com

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You received this email because you expre= ssed interest in one of our courses.=C2=A0

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