wenmi01

[wenmi01]

Need a Quick Environment for your Data Science Project? Need an easy to Use and EASY to Deploy Solution?

You have a nice data science project, you need to start right away, but you know that it will take time to setup your toolkit. You know that it will take ages to setup your tools and you both want an R and Python Jupyter notebooks.

I used Virtualbox as dependency for ContainDS Desktop.

I hope you learn from this short tutorial on using ContainDS Desktop with R and Python.

Happy Data Coding!

[wenmi01]

A Quick of Overview of Virtualization with Vagrant and Virtualbox

https://wenup.wordpress.com/2020/08/12/a-quick-of-overview-of-virtualization-with-vagrant-and-virtualbox/Vagrant could provision Virtualbox virtual machines.

I started to use the vagrant since I am on Windows and would need some DevOps automation for creating a reproducible setup for NodeJS and other Data Science activity.

I used a Vagrantfile to automate it, and also tried to share some resources from the host Windows machine.  The guest machine is in Virtualbox which is provisioned by Vagrant through its Vagrantfile configuration.

I hope this gets you going and exploring the use of Vagrant + Virtualbox for testing environment and for creating an environment for your use cases.

Slides are at: https://wenup.wordpress.com/2020/08/12/a-quick-of-overview-of-virtualization-with-vagrant-and-virtualbox/

[wenmi01]

Getting Started with VBA in Excel

Getting Started with VBA in Excel

VBA — Visual Basic for Applications in Excel

This post will show you can make use of Microsoft Excel’s VBA. The slides here show a step-by-step approach on how you can use VBA within excel.

https://www.scribd.com/document/364838912/Getting-Started-With-VBA-With-Excel

I hope you can make use of this for your Excel automation work.

[wenmi01]

Date with Freedom 2017 (Virtual Careers Summit)

I was invited by my Marketing, Virtual Profession and Success mentor Jomar Hilario to his event Date with Freedom: Virtual Careers Summit.  It happened on October 14, 2017.  I saw a lot of Virtual Professionals and aspiring remote workers.

Yes I work remotely, but securely.  I talked about “How to Negotiate with 5 Clients”.  Everyone got interested on that topic, but the question I got is more about “What is Data Science and Analytics”.

Above is my secure remote machine located on my client’s office.  I used that computer to login to my client’s client. It seems like an unmanned computer that when you turn on the screen you will see what I’m working on it remotely.

To simplify data science please see the diagram below:

This Venn Diagram (a diagram that shows overlaps) shows that data science is the intersection of Mathematics/Statistics, Computer Science / Information Technology and a Domain Expertise: Business, Research, Sciences, or Marketing.  Yes, Marketing, sounds familiar?

Let me show you what an Analyst or Data Scientist does for digital marketing industry:

I know most of you does those above.  The secret with these data is to measure or keep track of the values over time.  Be in Spreadsheets (Excel), text file, or tools like Instagram Insights, FB Insights and Google Analytics can help you understand your client’s customer.

I know most of you will say, I’m not techie, I’m not a geek nor a nerd.  You can, “Yes you can!”.  I said, “You can!”.  Did you know that businesses would like reports not in Math or numbers?  Did you know that clients would love to hear stories from their data?  Did you know that visuals, graphs, charts and INFOGRAPHICS simplifies the dissemination of information?  Does all those sounds familiar to you?  I know you do. Jomar taught those in his skills courses, story telling courses and other courses.

My analyst / data scientist colleague used to laugh about presenting a mathematical formula versus a well defined story with some visuals.  The presentation with a story and visualization or graphs are well appreciated by the client.

I heard some people say SQL is hard.  You don’t need that geek language, there are tools that can help you build that, yes like point and click, drag and drop.  Nothing is easy nor hard.  I went to the hard part since it’s my up-bringing in the past, I accidentally was exposed to this due to IT Engineering which is another story.

In the Philippines, we started out with Data Science Philippines on Google Groups, then on a Facebook Page.  Today we have Data Science Philippines on Meetup.  I’m a regular attendee of R Users Group Philippines because of the values of people there: “Humility”.  They know how hard the numbers are, but are still willing to help others to get started.

URL List of Live Meetups: https://www.meetup.com/Data-Science-Philippines/ https://www.meetup.com/Manila-Analytics-Freelancers/ https://www.meetup.com/Visayas-Analytics-Freelancers/ https://www.meetup.com/R-Users-Group-Philippines/ https://www.meetup.com/Manila-Excel-Ninjaz-Meetup/

Thank you for all the attendees of Jomar Hilario’s 2017 Date with Freedom.

Jomar Hilario Courses: Virtual Careers Academy

[wenmi01]

How to Teach Yourself R Programming

Learning R is important nowadays, as the analytics, big data and the application of data science to different industries is needed.  Mostly beginners, as what they say compared to SAS has a steep learning curve, but let’s see a quick tutorial.

First, you have to install R or Microsoft R Open.  Download from https://cran.r-project.org/

Also install RStudio for a good IDE (Integrated Development Environment) to use R and understand what data the variables has in memory. Download from: https://www.rstudio.com/

After you have these, you can get yourself in a quick environment by installing and using Swirl Package for a self run tutorial. Check out: http://rpubs.com/wenmi01/learn_r_swirl

[wenmi01]

R BioConductor Package Basics

R BioConductor package is a packaged used in genomics, computational biology or bioinformatics.  The sequences of DNA, proteins and other information are handled by a wide array of BioConductor package.

BioConductor is a collection of packages used in BioInformatics, it is almost the same as those used in BioPython, and BioPerl.

Here is my rpubs page for R BioConductor Basics: http://rpubs.com/wenmi01/r_bioconductor_basics

[wenmi01]

Virtual Careers Book

Many of the business are thinking, if they will allow for remote work.  Some are used to the 8-5 routine of the daily business days, however due to the traffic in Manila alone, it’s better to give flexible hours to our talents.  Time and again, letting them work remotely is another thing.  How do we really know who knows how to work remotely?

In the past, there are some uneducated virtual workers, they don’t know how to handle their employers / clients well, but thanks to the Online Marketing Guru of the Philippines, Jomar Hilario.  He found out that more people are wanting to earn dollars at home, so he started to teach Virtual Assistant lessons, and after the events, he made the lessons downloadable.  Through the years, he added more advanced lessons for the VA, and later called them Virtual Professionals.  They became professionals not just because they are remote workers, but also they are taught how to act professionally online, and only work with legitimate businessmen and industries.

From the office desk, he will teach you how to be on your home office desk, or home desk to work from any part of the world and deliver astonishing results for your client, no matter where you are.

He recently launched his book, Virtual Careers (Jomar Hilario) to reach more people and Filipino workers.  The readers now have the potential to earn dollars at home, eliminate daily stress and embrace their family more.

Follow Jomar Hilario on his website http://www.jomarhilario.com

Pre-order at: http://virtualcareersbook.com/

[wenmi01]

My Journey as a Data Scientist / IT Engineer

It was long ago, when I was a curious kid on how the world works.  I like the science experiments in school, watched the Beakman's world.   There are times that I'm thinking what will it be if no one has invented the light bulb, the engine motor, and many other things like the cellphone and computers.

On my journey, I had met a computer when I was in Elementary level.  My uncle left me a computer with Windows 3.0 on it, I tried exploring it, used Microsoft Office, read a book about DOS (Disk Operating System) and saved tons of diskettes with Microsoft Word Documents, Powerpoints, and played with Visual Basic for Application.  During my highschool, I met two programmers.  One who taught me and showed me DOS-based programming languages like C, Pascal, QBASIC, DOS and Visual Studio especially Visual Basic.  I read a book that they are using Teach Yourself Visual Basic in 21 Days, it's fun and easy to understand so I tried creating some of its contents.  Wrote a couple of DOS batch files program.

On my 4th year highschool, I tried to take the examination for IT Engineers.  I just tried it, but since I have no mentor, I got a fairly almost passing score for IT Engineer examination, a Japanese standard certification given by JITSE (Japanese IT Standards Examination) now PhilNITS (Philippine National Information Technology Standards) which is under ITPEC (IT Professional Examination Council) headed by JITEC (Japan IT Engineers Examination Center).  One of the youngest taker at the age of 16.  After some years after taking up BS IT (college) I successfully passed the exam at the age of 20.

I was sent in Yokohama, Japan to undergo for the Training Program for IT Engineers in Asian Countries in 2007.  The youngest in the batch at the age of 20.  My expertise is COBOL (Common Business Oriented Language).   Learned Linux, JSP and other technologies including the Japanese culture.  

I've helped OLPC (One Laptop Per Child) community to grow here in the Philippines as a Project Manager, today e-Kindling is handling the project, and they have deployed a pilot OLPC in some parts of the Philippines.

On 2010 I was sent again to undergo for Bridge Systems Engineers training (coordinating Systems Engineer) in Tokyo.

In the past, I used to do the full Software Development Life Cycle as a Systems Engineer.  I have done some work as a Network Surveillance engineer too in a contact center.  Lately, I worked with a social media site Friendster.com too as Systems Administrator.  My stay in Friendster have helped me learn more of monitoring systems, automating, testing and Quality Assurance work on systems.  

I've helped some organizations as a consultant too in the past.

I've learned how to cook servers using Chef and other tools, linux, python, perl.  From there I started to love data, from MySQL to MongoDB, to CouchDB, using logs, AWS cloud services, Munin, Nagios.

After some time I've been interested to learn R, but then it led me to learn the Data Science Specialization from Johns Hopkins University through Coursera.  I took several courses on Data Analysis, Analytics, Process Mining and more.

Today, my learnings, combined with my experience with systems engineering, data, consulting and things I've learned from Marketing and Business school (MBA) helped me to become a Data Scientist / IT Engineer.  I also learned Online Marketing and Virtual Profession, so I know how to work remotely well from a guru in the Philippines named Jomar Hilario.

Nowadays, I'm exploring to learn more Mathematics from Pure to Applied, doing some research, Genomics, BioInformatics and other applications of Data Science, Science and Technology.

https://sway.com/MDvT9CFp9a1bvIvu - Sway Data Scientist Ri https://sumry.me/wenmi01 - Sumry.me Rowen

Rowen Remis R. Iral

[wenmi01]

Live Like You are Dying

The irony of this journey called life is that we are always looking for comfort.  We keep family ties, we live in different activities, kept ourselves busy, join organizations, but there is none helpful at all.  We seek and get lost, looking for hope, searching religion after religion, motivation after motivation.  Living in vices, drinking liquors, smoking cigarettes and worst taking drugs just to put life into a greater perspective, as if we know what we are doing are beneficial to us.  The works of evil are just around, creating turmoil, fear, terrors, creating terrorist attacks; the world is turning the pain up on each and everyone of us.  You might have been part of the jobless people, you might have been a victim of the matrix that to be successful you have to compete, you have to compare yourself to others, to follow the standards set by the norm of the school, of the corporate world, to have a lot of money, to live luxuriously and be arrogant.  The world is at its worst scenario this time. I only have limited time on this earth, and you do too.  I know how best it is to have trust, respect, and sacrifice to build love.  I am not here to impress among you, but I am here to be true, to be me, and to be a better me each passing day.  I don’t have time to explain myself, I don’t care what you are thinking of, but there is one thing that I’m living for each and everyday, I am living to follow and fulfill God’s will. I may one day be a memory to you, the one who have touched your life, the one who have inspired you, I might have been the one that have been an example on how to live low and simple, how to mould your character, how to keep things going and in peace, how to change things in order for better things to come or I might have been a light on your path. Today, if you love me, then trust me, if you care then show that you do, if I am important keep me in your heart, I might be doing the same for you, but then you let loose my feelings because, you started to show that you cannot accept me for what I am, what I was, and what I will be.  I might be living with you, but you are just like them, pre-judging me for my actions, for my acquaintances, for my friends, contacts, networks and my intentions were never understood and heard.  I am missing my life, the real me, because you’ve become a vampire to my life, you’ve made me a zombie, you’ve started to kill my dreams, my aspirations and I am writing this article to make you remember, when I love, I really do, when I care, I mean it, when I value someone, I make them more than diamonds and gold, when I trust, I trust wholeheartedly and the Almighty One I firmly believe.  I have no religious bias, but God had showed me that He really existed, He had twisted my life, gave me up and downs, there is no religion, but the faith and connection to the divine, and following God’s will would make the saviour preserve us for eternity, bring us to His everlasting kingdom. I will no longer be yours if you will fail to value me, as long as my God lives, He will always give the best for me and my life that He lent me.  I’m afraid time and again God will bring me closer to the right people and place, but I might lose you. I’m sorry that I am different from the other 99% of the world.  Sorry I don’t belong to the 99% different from me. We are living and leaving this place called Earth soon, so always live at your best each day as if you are dying.

[wenmi01]

Is it OK To Allow Data Scientists / IT Engineers to Work from Home

Operating a company or having a business needs some technical expertise that you cannot otherwise seek around. The technological talents and skills are sometimes hard to find or at some point need to be done when hiring cycles would not help fix your problem. Through technology, work can be done remotely from anywhere, work from home, Virtual Assistant (VA) jobs, road warriors and mobile workers or telecommuters are a few to name. With the equal opportunity of flattening the world through technological advancement on communications and collaboration these can help your business or company to help you and support you, also minimizing overhead on office space costs.

Selecting the best talent is the best guide to make your search for the remote worker or remote expert that you are looking. Consultants on these field are mostly checked by their resume and output of their work portfolios so you know what quality of work you can expect. Remote working really helped most businesses including online marketers and others. Now, even works on appointment setting, writing, graphics design, social media management, mail, booking, telemarketing, programming or development, systems engineering, systems administration or DevOps can be done remotely.

Through the trend of needs for analytics talents, Data Science field have a lot of scientists out there that are also ready to be tapped, they are just around, but mostly are in a remote areas. It is hard to find experts like Data Scientist, Analysts, and IT / Systems Engineers, but if you would look around, you can even find them online. The quality of work can also be good, and if you want them to be better for helping you more, let them take courses, pay for their education, since online courses made quality education reachable as long as you are connected to the internet and submit your work online.

Allow knowledge workers to work online, they give them the flexibility, cognitive ability and quality time and freedom, which makes it good to let Data Scientist / Engineers remotely or let them work from home.

Do you need some Data Science for Day Service? Contact me now.

[wenmi01]

Business Operations Through IT Automation

Today’s business need to easily adapt in changes to maintain business continuity. We must use our human resources and IT resources so we can handle the situation.  Automation is one to use so we can quickly do changes in our operations.  The IT and Business units are two separate departments in the past that go in different directions and control.  Most of the time businesses demand the now and the IT demands the future and adaptability.

The division of business and IT(Information Technology) makes it harder to implement technology.  The thinkers of the industry came up with a solution to marry business and technology.  The first that we’ve seen so far is the DevOps revolution.  So what is the DevOps revolution?  It is a term coined that merges both the Development team and the Systems Operations team in the IT department.

Developers mostly write codes for the business requirements without. They think that they should just deliver on time without consider the infrastructure.  On the other side, systems administrations at systems side will not let developers’ codes to hit the production right away.  Then the introduction of the DevOps revolution is implemented so that the two teams will work together to implement understanding and harmony in deployment of systems.

In order for this to succeed, the systems operations write code hand in hand with the developers in order to make room for the voice of the developers, which simplified the interaction, and time to release production systems.  Businesses then reap the rewards of having their operations run smoothly.

The agile methodology was then adapted in order to make meetings fast and easy.  Automation came into play so that the systems can be reproduced easily and that even developers can deploy their own systems from templated servers written by systems administrators.  DevOps is able to merge the two teams that are separate before and the need for the agile master / scrum master is needed.  With that, extreme programming or pair programming have been implemented to aid the exchange of knowledge and skills development of two separate teams.

Opscode chef, ansible, puppet, salt and many more are some of the tools of IT automation that helps deliver systems that are automated by DevOps or systems administrator.  With the help of developers, and quality assurance team, the environment to test and run the code can be properly maintained.

Example implementation: Chef Development Kit in Windows Server 2012 R2 using spoon.net http://spoon.net/hub/wenmi01/chefwin2012

Code at: https://github.com/wenmi01/chef_tut

[wenmi01]

Finding the Unicorn Data Scientist

Nowadays, as more shifters or career shifters are around there are people who declared themselves as Data Scientist.  These abundance are somewhat we can call as raw skills.  They may possess skills at some level but it is not yet enough.  In order for us to beat the uncertainty, let us see what it takes to be a data scientist.

In order to be a Data Scientist, there are 3 major skills, the Computer Science / Hacking skills, Mathematics & Statistics skills and Substantive knowledge like research, business, medicine, biostatistics and other domain skills and knowledge.

Machine learning also come into play which is part of Artificial Intelligence, it is where we model the world in order to be able to forecast and predict information.  Knowledge of programming, especially functional programming, database systems and big data is necessary for the technical skills. 

Statistics and Mathematics skills and knowledge are also needed in order to be a Data Scientist to have the expertise on looking and solving problems and expressing them in figures and numbers.  With these the data scientist can model the world in numbers or they are able to quantify the world that we are living in in order to infer analysis.

Substantive knowledge on the other hand will come into skills with research, business, biostatistics or medicine and other fields which may need some knowledge of the problem being observed and analyzed through the use of data. 

Other skills needed for Data Scientist is the ability to present his work to non-technical people and visualize the findings so as to make the relay of information in simpler forms so that everyone can get a grasp of the information being communicated.

Unicorn Data Scientists are those that have accidentally gained different skills.  In my case, I am a certified IT engineer, have been skilled in Marketing and Digital Marketing, took up Master's Degree in Business Administration (MBA), been doing Solutions Architecture (Cloud) and other sort of researches like in the biotechnology research on BioPhotonics, bioinformatics and more.  A vast array of experience and exposure to different fields and being able to integrate or having a look at different stages of the industry, business, medical field, sciences, arts and technology is needed in order to be a Unicorn Data Scientist.

It is somewhat hard to find them, and most them are either Master's Degree or Doctor's Degree (or PhD) holders.  They have a mixed nut in marketing and economics too, and have been around in Research and Development projects, some have experienced multi-shifted career experience, and others are life-long learners that have immersed oneself in Computer Science, Math & Stats and Substantive Knowledge.

Unicorn Data Scientists are products of experience, sometimes not of a well lined career path but a path wherein these people have skills in mixed and different fields.  Most of them are fast learners and have even looked into Systems or processes which is one of the applications of data science.  Even in business processes not just data can we apply data science and engineering.

If you are lucky to find a Unicorn Data Scientist, be sure to take care of them as they are mostly rare and hard to find.

[wenmi01]

Getting and Cleaning Data - A Data Scientist's Perspective

Getting and Cleaning Data - A Data Scientist's Perspective

Getting cleaning is easy with the available tools that we have right now, and the available technology on sharing datasets. We have tools such as git, svn, zip file and more. However, although these tools are available, they are to be installed on the machine in order to read data.

Most resources that we have today are mostly compatible, but if you are to get data that is large, or something that is in the realm of security, you will have to authenticate to access data. After having the data, you will then need to inspect if the corresponding data dictionary is available, or the data was labeled if it is a csv file. There are cases where data is labeled on a per item per field, which is easy to read in some quick linear view, without having to look at the header, you will be able to know what the data is. The hard part on this that it will give you a toll later is, you will have to clean the label part. For example this line: name: bob pet_type: cat age: 3

You will have to clean up by removing first the label, there are cases that you will have to transform the cleaned data to make use of it at later stage of analysis.

If you will write some function to process data, make sure to use low-level tools and functions. This will greatly reduce your time to process data. Also it is better to have a separate script or tool dedicated on the cleaning part, before analyzing data to save time. After that you can then create another intermediate data for use on the visualization part.

At the end of your analysis, you should be able to present your analytics report in some form such as a PDF or a presentation available to your audience. When writing reports, make sure you assume the audience is not technical and needs an easy to understand format and that there is adequate data for seeing that same insight that you want to communicate.

[wenmi01]

The Hiring Questions - A Sample

The Hiring Questions

I decided to do a write up on some of the most asked questions on selecting the best candidate for a job vacancy.

Here are the things that are most asked:

1. Tell me about yourself. I am Rowen Remis R. Iral, a Data Scientist with diverse skills. My skills includes MBA(Master of Business Administration), IT Skills (a certified IT Engineer). I also have cloud knowledge and also a Solutions Architect. My marketing skills also include internet marketing.

2. Why should I hire you? One of the reason to hire me is that I have diverse skill set and also willing to learn to face any challenges that your company face.

3. What are your strengths and weaknesses? My strengths include being a fast learner, creative and also have the skills to adapt to any situation. My weaknesses are sometimes I have a weak voice, I travel from a far location to work.

4. Why do you want to work at our company? I want to work at your company because I believe that your company can hone my skills, and I know that you are one of the best companies out there.

5. What are your goals? My goals are to make the company grow and also to have more profit for the business I'm working with.

6. Can you work under pressure? Yes, I can work under pressure. I can also break down projects so that the task cannot be overwhelming.

7. What motivates you to do good job? My motivation in doing a good job is a good work environment, personal relationships and recognition.

8. How long would you expect to work for us if hired? I could work for you for a long possible time as long as I see I could contribute for your success.

9. How much salary do you expect? My salary expectation is of course on way of what is on the industry standard, I would be glad if you could offer something good to start with. Especially if you want the best...

10. What are your qualifications? I have skills and certifications aside from formal training and a life-long learner.

11. Why should I hire you from the outside when I could promote someone? You should hire me if you want the best. Aside from that my experience and expertise can be a great help to your company.

[wenmi01]

ScienceOps or SciOps Tasks

Helping other businesses grow in terms of technology is mostly a need, in some start-ups and also to the growing business that wants business continuity.  Technology nowadays makes creation of services delivered at a faster rate due to the services that we have like Cloud services.  Amazon Web Services, OpenStack and many more have offered their infrastructure as a service for those technology business to help deliver high quality applications.

Users of the apps are now mobile on their laptops, they are now on smart phones, laptops, tablets, and many other gadgets ready to run apps.  Also, Apple devices are around and all those user apps are best paired with data on some server, the cloud.  The cloud works as an authentication, knowledge-base and even the data storage of these infrastructure.  Regardless of the application a good system and network infrastructure is best to have.

These infrastructures are built on top of on-premise computers/servers and even with the cloud.  Cloud services reduces costs is such a way that you don't have to spend time waiting for arrival of servers, you can scale up and down and you can even scale automatically, yes automatic scaling.  But what is automatic scaling?  Your infra if properly managed can be designed to grow its instances/servers when there is a high need of resources and to shrink down in numbers when only few instances are needed.  All these are beneficial.

With all of these things, we have infra security.  Securing, maintaining and keeping up-to-date with the latest software, fixes and patches are needed on your cloud infra.  However, we are not sure where we are doing right or where we are missing if don't audit.

Designing a good secured infra needs some more.  We have to monitor things in order to know downtimes, also we have to measure.  In measuring the infra performance we create metrics that checks the status or measurement of every parameters for the server.  We then have to collect this and increase the capability to analyze it.

The data scientist for this work are ScienceOps. They are mostly building good infrastructure, but that is not all.  Even after seeing what's good in your infra, you will need to know what's in for your business.  ScienceOps might need some background in business, marketing and strategic planning, and also the apps that you are targeting for measurements.  SciOps will then need to create analysis of your users data aside from the server logs.  With the users data, they can show you how you are fairing with the market.  They can show you if you are growing over time or just having stagnant users no longer interacting with your app.

Your marketing success can be measured and a lot more on the choices of products, services and behavior of your customers or users of your app.  With proper metrics, right analysis and more insight gains, the management team and product team can design, update and direct the product / service that you have in the right direction that satisfies your customers and service users.

[wenmi01]

Teamwork is Essential

"Alone we can do so little; together we can do so much" -Helen Keller

Most of us have been working alone, but sometimes if the task is heavy that you might need the helping hand of others.  Often times, we think we can handle the task at work alone, there are times there is a need to ask for help.  If you are a given an easy task but it is so repetitive that it will take so much time let's say encoding tasks, you can shorten the time to do that by the help of others who will also encode with you.  Deadlines add the burden to us if the task is tedious.

Working with a team is fun.  You get to share ideas with the team members, you have the time to lighten the task.  A days work can be minimized to half of the day or shorter depending on the capabilities.  Interesting ideas comes when you are brainstorming or having a meeting with others, it makes a great way to think more, since you are not alone.  However, at some point, there are conflicts that arise.  In spite of the conflict, proper team management, cooperation and leadership can help eliminate the conflict.

They say, "two heads are better than one."  If you are thinking on solving a certain problem and you are alone, you might some points to solve.  But with the help of teams or other people you will be able to look at a situation in a different angle, this gives a different look at the problem.  In complex organization and projects, teams are essential as they have to move forward towards their tasks.  For example, in a contact center, groups or teams are formed to effectively manage the agents.  This further help the company to keep the high quality of service they provide with clients. 

Teamwork gives a different look at a problem helping you to easily solve the problem.  Having a team lighten the task that you have.  More ideas are generated in a team.  A team with members of different expertise or skill set diversifies the team.  Teamwork is essential, you must then as an employer or leader have a team or someone who can help you on your tasks. 

[wenmi01]

5 D's of Data Science

Here are the 5D

5 Ds of Data Science

Data

Digitalization

Description

Depiction

Discovery

  Data

In data science, the most needed is the data, the observations or examples.  With this, we can describe how much, how strong, what are the value or measurement there is about a situation or a thing.  Data existed when define the description of an event or if we measure something.  This is the most important building block that we need to have in doing Data Science tasks.  With data, we are able to show quantity and quality, and this will be the basis of our equations and statistics.  We observe or sometimes use instruments or probe in order to gather data for our analysis or research.

  Digitalization

We cannot process raw data when it is not digitized or put into a computer system or encoded into forms that can be processed.  The format is not limited to text, graphics, spreadsheets, vectors, audio, video, we can use any digital format that we like.  Through digitization, we can speed up the process of analysis and procedures being applied to gather the measures in statistics.  We can then infer from the findings of things, and we can create more insight.  Digitization makes the sharing of information easier as the data can be stored and retrieved for future use.

  Description

Through the tools that we have, mathematical equations and statistics, we can describe the data that we have.  We can determine if assumptions are right or wrong through hypotheses that we formulate.  We can then deduce from what we have gathered, and those will help us understand more, and can guide us on the next steps on what we can do with data in order to solve a problem or understand a situation or use it to teach machines/computers. These machines in return will be put into practical use which can aid the human ability in different aspect of our lives, not limited to traffic, medicine, marketing, economics, planning, production, operations, understanding behaviors and many more.

  Depiction

In Data Science, where use to do machine learning, we mine information, create training and testing sets, we can then depict or predict the future.  Also with visualization, we can explain what we have just found out through insights.  We can share the information available for consumption at a wide range of audience from academe, profession, medicine, science and the like.  With depiction/visualization we can help different people understand what we have just found out.  This is where data science becomes an art, a place of creativity and targeting with mass consumption.

  Discovery

At the end of most research of a Data Scientist, a discovery from different insights is mostly been found or through the process clarity comes as the prize of hard work.  The discovery from the tasks conducted can help to predict reality, give warnings and inform the people.  Most stakeholders are the pharmaceutical company, doctors of medicine through BioStatistics and analysis, and some business or entreprise.  The information uncovered can be a great help in making future decision on improving medicine, process, product or strategy such as those used in marketing campaign, designing educational things and also providing new products/services for the benefit of the people.