Saat ini perkembangan teknologi Artificial Intelligent sudah mencapai masa klimaks, saat ini ada beragam AI untuk beragam keperluan. Salah satu diantaranya adalah pemanfaatan AI untuk bidang analisis data. Berikut link Youtube untuk mempelajari atau memahami pemanfaatan AI untuk analisa data. Semoga bermanfaat.
Free tutorials and consultations MENDELEY, SPSS, EXPERT CHOICE, SUPER DECISION, etc. Every Friday at 10:00 am on the 3rd Floor of Campus A STEI Indonesia. Please call the cellphone number or WA 081210106680.
20240929
20191124
Understanding Data Science and Analytics in Marketing
The demand for data scientists is higher than
the supply, and the reason is simple: Data scientists don't just work in
business intelligence, but in business strategy. They can transform your
marketing strategy, too, if you know what to look for.
Chris Warnock Specialist Analyst, 23 OKT 2019, getapp.com
Demand for data scientists continues to outstrip
supply, with the field topping LinkedIn’s list of “Most Promising Jobs of 2019” (up from
ninth last year), thanks to 4,000+ openings
(+56% YoY) and a median base salary of $130,000. Likewise, Gartner research (available to
clients) states marketing analytics now accounts for
the largest share of the marketing expense budget at 9.2%, contributing to
intensifying demand for high-quality analytics talent.
20191024
R Programming | Sejarah, Pengertian dan Fungsinya
R programming adalah sistem perangkat lunak yang dirancang secara khusus untuk mengerjakan semua hal yang berkaitan dengan statistik. R hampir sama dengan program S atau yang sering kita sebut dengan software SPSS. R merupakan satu kesatuan software yang terintegrasi dengan beberapa fasilitas untuk manipulasi, perhitungan, dan penampilan grafik yang handal.
R berbasis pada bahasa pemrograman S yang dikembangkan oleh AT&T Bell Laboratories yang sekarang menjadi Lucent Technologies pada akhir tahun ’70 an. R ini adalah versi gratis dari bahasa S yaitu software (berbayar) yang sejenis yaitu S-PLUS yang banyak digunakan para peneliti dan akademisi dalam melakukan kegiatan ilmiahnya.
R berbasis pada bahasa pemrograman S yang dikembangkan oleh AT&T Bell Laboratories yang sekarang menjadi Lucent Technologies pada akhir tahun ’70 an. R ini adalah versi gratis dari bahasa S yaitu software (berbayar) yang sejenis yaitu S-PLUS yang banyak digunakan para peneliti dan akademisi dalam melakukan kegiatan ilmiahnya.
20191012
When to Use Which User-Experience Research Methods
Summary: Modern day UX research methods answer a wide range of questions. To know when to use which user research method, each of 20 methods is mapped across 3 dimensions and over time within a typical product-development process.
by Christian Rohrer on October 12, 2014
https://www.nngroup.com/articles/which-ux-research-methods/
The field of user experience has a wide range of research methods available, ranging from tried-and-true methods such as lab-based usability studies to those that have been more recently developed, such as unmoderated online UX assessments.
by Christian Rohrer on October 12, 2014
https://www.nngroup.com/articles/which-ux-research-methods/
The field of user experience has a wide range of research methods available, ranging from tried-and-true methods such as lab-based usability studies to those that have been more recently developed, such as unmoderated online UX assessments.
20190803
Insert Citations in Multiple Formats Easily with Google Docs
Google
Docs is a great free writing tool with a ton of great
hidden features, including the
research tool. You can save yourself some time and use the research sidebar to
automatically insert the appropriate citations you need for your paper.
The research sidebar
is great for finding studies and academic papers on many subjects, but Chris
Hoffman at The How-To
Geek suggests taking advantage of the research sidebar's
ability to insert perfect citations and footnotes as well.
20190203
Free Qualitative Data Analysis Software (from PAT Research)
Qualitative data analysts use software to conduct joint research, ensure the credibility and validity of research, perform complex data analysis tasks, manage large volumes of qualitative data, and make reports based on the data analyzed.
With the right software, we can store qualitative data in various formats depending on our needs. Qualitative data analysis software that can handle data in various formats including text, video, audio files and images.
Here are some qualitative data analysis software that can be used free of charge, which we take from the PAT Research web. CLICK HERE FOR CONTINUES READ
20190103
Why SME’s should have a Digital Marketing Campaign?
20181102
Give your research output visible global influence : 10 strategies to expand your institution’s global research visibility with a next-generation IR
Institutional
Repository (IR) to drive better recognition of your institution’s scholarly
output (From Elsevier)
Since the concept was first launched in 2003, over 5,200
institutions worldwide have adopted an IR platform to store and manage all
their academic research, journal entries, archival content, and more. A
well-structured IR performs as a real-time showcase of the brightest and best
your institution has to offer. It plays a key role in building reputation and
attracting world-renowned faculty, research funding and the brightest students.
20180220
What Is Content Marketing?
Useful content should
be at the core of your marketing. Traditional marketing is becoming less
and less effective by the minute; as a forward-thinking marketer, you know
there has to be a better way.
Content marketing is a strategic marketing approach focused
on creating and distributing valuable, relevant, and consistent content to
attract and retain a clearly defined audience — and, ultimately, to drive
profitable customer action.
Instead of pitching your products or services, you are
providing truly relevant and useful content to your prospects and customers to
help them solve their issues.
20170824
The Importance of Data Analytics in Marketing Strategies
GLOBALWEBINDEX, July 6,
2017
We are producing more
data than ever before. Every credit card transaction we make, each GPS pinpoint
taken by your smartphone, and every click of the mouse we make online
contributes to an increasingly large and varied dataset. Analytics is the
software used to turn this data deluge into valuable insights – insights that
are being put to use by a broad spectrum of industries all over the world. Over
the last decade or so, marketing has been revolutionized by data analytics,
allowing brands to deliver more targeted messaging and measure their return on
investment (ROI).
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