Project DARE – Decision-Making, Analytics & Intelligence > Philippines
Tag: Project DARE
Recently saw this article on KDnuggets (check them out if you aren’t already subscribed) and thought it was worth using to update some of my slides about the current talent shortage for Data Science & Analytics (DSA) skills.
This shortage is definitely acute here in the Philippines.
The 2011 McKinsey report on Big Data said that “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of Big Data.”
In 2014, KDnuggets examined “How Many Data Scientists are out there?” and came with an estimate of 50-100,000, and did not see much evidence of a massive shortage then. In 2014, we found only about 1,000 job ads for “Data Scientist” on indeed.com.
Now that we reached 2018, KDnuggets has examined how accurate were those predictions and tried to answer three questions:
1. Is there a shortage of Data Scientists now?
2. How many “Data Scientists” are there , both in name and in function ?
3. What are the future prospects for Data Scientists?
LinkedIn Workforce Report for US (August 2018) says “Demand for data scientists is off the charts … data science skills shortages are present in almost every large U.S. city. Nationally, we have a shortage of 151,717 people with data science skills.
Note that LinkedIn reports shortages for people with “Data Science Skills”, not necessarily people with “Data Scientist” title.
We can estimate the demand for “Data Scientists” from two popular job search sites – indeed and Glassdoor.
Search on indeed.com for “data scientist” (in quotes) in USA finds only about 4,800 jobs. However, in a search for data scientist without quotes, about 30,000 jobs.
US is the largest but not the only market for Data Scientists. We can also see strong demand for Data Scientists elsewhere:
UK: 1,100 jobs
Philippines: 599 jobs — You Read That Right! More than India.
Glassdoor search for “Data Scientist” finds about 26,000 jobs in USA (same results if quotes are removed).
Question 2: How Many “Data Scientists” are There, Both in Name and in Function?
Google search defines a data scientist as “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.”
There are many people in the industry and academia who do this work without having the formal title of a data scientist, since Data Science is an interdisciplinary field at the intersection of Statistics, Computer Science, Machine Learning, and Business. We can estimate the current population of Data Scientist by examining popular data science platforms.
Kaggle (now part of Google) is a platform for data science and analytics competitions. It claims to be the world’s largest community of active data scientists.
While not all Data Scientists take part in Kaggle competitions or have a Kaggle account, and not all Kagglersdo work of data science, it is reasonable to assume a large overlap.
On Sep 19, 2018 Kaggle says they surpassed 2 million members in August 2018.
Since not all Kaggle members are active, Kaggle membership is probably a global upper bound for people engaged in data science.
KDnuggets is now reaching over 500,000 unique visitors per month.
KDnuggets now has about 240,000 subscribers/followers over Twitter, LinkedIn, Facebook, RSS, and email.
On LinkedIn, there are many groups dedicated to data science, and although the engagement in those groups has been falling, we can use their membership as a rough estimate. Here are three of the largest groups
Big Data and Analytics – 339,000
Data Science Central – 278,000
Data Mining, Statistics, Big Data, Data Visualization, and Data Science – 170,000
Searching LinkedIn for “data scientist” (quotes are important) we find over 100,000 people with that actual title. So if globally between 200,000 and 1,000,000 people are doing some Data Science related work, then a majority of them does not have a Data Scientist title.
We can also estimate the by looking at activities related to languages and platforms most connected to Data Science: R, Python, Machine Learning libraries, Spark, and Jupyter.
Apache Spark Meetups had 225K members recently and growing every month.
Intel Capital estimated that there 1 million R programmers worldwide.
Based on the public data on python.orgwebsite, there have been around 2.75 million downloads.
Jupyterproject has around 3 million users at present.
These numbers can give us a rough upper limit on the number of data analysts/data scientists around the world.
So yeah, to answer the question, there are at least 200,000
Question 3: What are the Future Prospects for Data Scientists?
The near-term future for Data Scientists looks bright.
LinkedIn 2017 emerging jobs report claims that machine learning engineers working today has increased by 9.8 times as compared to 5 years ago.
Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.
Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5M jobs in the Data Science/Analytics area by 2026, according to the U.S. Bureau of Labor Statistics.
IBM recently claimed that by 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. No matter what the true number of data professionals out there currently, their number is likely to grow in the near future.
So What are the Future Prospects for Data Scientists in the Philippines?
Based on Data from APEC (Asia Pacific Economic Cooperation), there is both a huge demand here in the Philippines as well as in the jobs where the Philippines already has an outsourcing pipeline too.
You Need to Know Exactly What You Need to Hire/Learn how to have/be a Data Scientist?
To assemble a team of DSA Practitioners, you need to make sure you have the right combination of talent.
Here is how I would start.
Make sure you have people who can do these functions.
And if you want to learn how to be one of these key players, I’m betting you need to know where to start.
So wether you want to be a DSA enabled professional or you want to assemble a DSA team, here is a better understanding of how that looks.
Yeah I know. It is a lot!
Connect with DMAIPH and we will get you started!
Posted on September 23, 2018 September 24, 2018 by DMAIPHPosted in Analytics Education, Analytics in the Philippines, Analytics Jobs, Analytics Solutions, Analytics Training, General AnalyticsTagged Analytics in the Philippines, Analytics Jobs, APEC, Dan Meyer, data science philippines, Data scientist, DMAIPH, DSA, manila analytics, philippines analytics training, Project DARE, Sonic Analytics, talent war. Leave a comment	
Working on an Analytics Internship/OJT program…
400 Hour DMAIPH Data Science & Analytics OJT/Internship Program
The end goal is to develop a DSA strategy presentation for manager. Start out by getting to know the physical data environment, the tools being used and the main players in the business. Move on to assessing the maturity of the analytics culture and it’s use of DSA talent, techniques and technology. Design a business dashboard prototype and deliver a compelling data story to improve management reporting.
Three tracts for interns… HR Analyst, Business Analyst and Data Analyst.
Interns will spend 60% of the internship at the place of business and 40% of the internship in a classroom. This will facilitate the application of theory to real business data in order to help managers get a better idea of the what’s working and what’s nor when it comes to the data in their business.
Based on the APEC DSA Competencies which is close to being adopted by 20+ countries across Asia and the Pacific as a guide for current and future DSA training efforts.
Week 1 – Fundamentals of DSA
APEC DSA Competencies
How This Internship Works
Exercise: LinkedIn Profile
Company Deliverable: Company/Organization DSA Profiles
Week 2 – DSA in the Philippines
Exercise: Glossary of Data
Company Deliverable: Defining Where the Cutting Edge Is
Week 3 – Data Management & Governance
Data Management Macro View
Exercise: Data Survey
Company Deliverable: Info Security Risk Assessment
Week 4 – Data Analytics Methods & Algorithms
Data Management Micro View
Exercise: Who’s Who of Data in the Business
Company Deliverable: Data MVPs
Week 5 – Data Science Engineering Principles
Exercise: A Visio Data Map
Company Deliverable: Map of Business Data Lake
Week 6 – Computing and Computational Thinking
Exercise: Top 10 Excel Tips Video
Company Deliverable: Top Ten Data Tips
Week 7 – Statistical Techniques
Exercise: Flight Risk Model
Company Deliverable: Results of Maturity Assessment
Week 8 – Operational Analytics
Exercise: Tableau Public Mock Up
Company Deliverable: Business Dashboard Prototype
Week 9: Data Visualization & Presentation
Exercise: D.R.A.P.S
Company Deliverable: A Business Data Story
Week 10 – Final Project/DSA Strategy Presentation
My goal is to create and promote a hybrid approach that offers both supplemental education and hands on experience. We need to get past the days of having OJT do data encoding or simple research projects… they need skills that they can apply day one.
They need it, we need it, the country needs it.
Any ideas or suggestions? This is just the first draft.
Hoping to roll this out in the next month or so.
Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Asia Pacific Economic Cooperation’s Project DARE initative, DMAIPH champions the use of using data. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in data science and analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.
Posted on June 6, 2017 June 6, 2017 by DMAIPHPosted in Analytics Education, Analytics in the Philippines, Analytics Training, General AnalyticsTagged Analytics Education, Analytics in Higher Education, APEC, Business Strategy, Dan Meyer, data analysis training, data science philippines, DMAIPH, Internship, Project DARE. Leave a comment	
Teaching Analytics: An Instructor’s Guide to implementing the recommendations of Project DARE (Data Analytics Raising Employment).
APEC (Asia Pacific Economic Cooperation) hosted an event on May 4-5 bringing together over 50 analytics experts and visionaries from over 14 counties across the Asia-Pacific region to form an advisory group.
The APEC Project DARE (Data Analytics Raising Awareness) Advisory Group started with an agenda set to develop recommended “APEC Data Analytics Competencies.
There are still being finalized, but as of last week here is a high level of the competencies that we came up with:
Operational Analytics: Use data analytics and specialized business analytics (i.e. business intelligence) techniques for the investigation of all relevant data to derive insight in support of decision-making.
Data Visualization and Presentation: Ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies.
Data Management and Governance: Develop and implement data management strategies and governance, incorporating privacy, data security, polices and regulations, and ethical considerations.
Domain Knowledge and Application: Apply domain-related knowledge and insights to effectively contextualize data, achieved by practical experience (e.g. apprenticeships) and exposure to emerging innovations.
Statistical Techniques: Apply statistical concepts and methodologies for data analysis.
Computing: Apply information technology, computational thinking and utilize programming languages and software and hardware solutions design and development for data analysis.
Data Analytics Methods and Algorithms: Capture, clean and inspect data. Evaluate and implement data analytics and machine learning methods and algorithms on the data to derive insights for decision making.
Research Methods: Utilize the scientific and engineering methods to discover and create new knowledge and insights.
Data Science Engineering Principles: Use software and system engineering principles and modern computer technologies, incorporating a data feedback loop, to research, design, and prototype data analytics applications. Develop structures, instruments, machines, experiments, processes, and systems to support the data lifecycle.
21st Century Skills: Exhibit crosscutting skills essential for DSA at all levels including, but not limited too; collaboration, customer focus, communication and storytelling, organizational awareness, critical thinking, planning and organizing, problem solving, decision making, business fundamentals, awareness of social and societal awareness, intelligibility, cross cultural awareness, dynamic (self) re-skilling, professional networking, ethical mindset and entrepreneurship.
Once this list is finalized I will update you all.
My end goal is two fold, (1) to help craft a version of the competencies into an academic discipline that the Analytics Council can present to CHED for adoption and (2) to design a vocational education track to address the basic skills needed for entry level DSA work here in the Philippines.
Posted on May 9, 2017 May 9, 2017 by DMAIPHPosted in Analytics in the Philippines, Analytics Leadership, Analytics Training, Business Strategy with Analytics, General AnalyticsTagged Analytics Council, Analytics Council of the Philippines, Analytics in the Philippines, APEC, Dan Meyer, data science philippines, DMAIPH, DSA, entry level analytics, Expat in the Philippines, Project DARE, teaching analytics. Leave a comment	
Become a Data Science & Analytics Pro! Apply for the DMAIPH Apprenticeship Program
A standard definition of Apprenticeship is a kind of job training that involves following and studying a master of the trade on the job instead of in school.
Learning to become an analyst for the most part has been something done on the job. after working in a company and gaining subject matter expertise, those who had good analytics skills often found themselves going down the analyst career path.
Big Data and technological advancements in analytics processing and data science have changed all that.
Nowadays, there are so many analyst jobs available that the natural order of learning to become an analyst isn’t working fast enough.
Higher education is trying to come up with solutions to offer analytics themed course, a few are already in place. But that’s only training 100’s when industry needs 1,000’s.
SO, to help fill the skills gap between the very finite supply of Data Science and Analytics (DSA) talent and the huge demand in the form of open jobs, we have to get outside the box.
You will see a lot more ideas like the DMAIPH Data Science & Analytics Apprenticeship program coming in the near term.
But don’t wait for the future, get ahead of the game.
Learn the DSA skills you need for a long and profitable career as an analyst.
E-mail me your resume today if you would like to learn more. danmeyer@dmaiph.com
I will be taking on a few more apprentices in the coming months as we grow the program to implement APEC’s Project DARE recommended approach to gaining a basic understanding of what it means to be a DSA professional.
Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience.
If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.
Posted on May 5, 2017 by DMAIPHPosted in Analytics in the Philippines, Analytics Training, data science, General AnalyticsTagged Analytics Apprentice, Analytics in the Philippines, APEC, Apprenticeship, Dan Meyer, data analysis training, DMAIPH, manila analytics, Ortigas, philippines analytics training, Project DARE. Leave a comment	
Why Focus on Data Analytics Competencies?
Later this week I will be attending the APEC Project DARE (Data Analytics Raising Awareness) Advisory Council in Singapore to discuss Recommended APEC Data Analytics Competencies.
Jobs requiring a familiarity with data analysis are forecasted to dramatically rise, resulting in a massive shortage of qualified employees. According to reports, some economies face a shortage of up to 1.5 million data analytics-enabled managers and analysts, costing billions of dollars in lost revenue annually. There is an urgent need to ensure that the future workforce is equipped with data analytics competencies to secure the jobs of tomorrow and move with ease in the labor market.
This is where Project DARE comes in. Project DARE aims to facilitate development of a data analytics-enabled workforce across the APEC region to effectively support sustainable economic growth and prosperity in the Asia-Pacific region. To do so, Project DARE developed a set of Recommended APEC Data Analytics Competencies which will be a resource to academic institutions and governments to align curricula, courses and programs so APEC economies are equipped to educate its workforce with the data analytics skills needed by employers in a data-driven future.
How was the Recommended Data Analytics Competencies Developed?
The Recommended APEC Data Analytics Competencies was developed through a public-private partnership with input from over 40 Advisory Group members (see Acknowledgements) comprised of distinguished business and higher education leaders who oversee data science and analytics needs for their organization and data science inter-disciplinary initiatives and curriculum. The Advisory Group was led by the private sector partner co- chairs, global skills and knowledge company Wiley and the Business Higher Education Forum (BHEF), with technical support by the EDISON (Education for Data Intensive Science to Open New Science Frontiers) Project.
DMAIPH and Analytics Education
Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Data Science Philippines Meetup Group, DMAIPH champions the use of using data. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.
About Project DARE
Project DARE is an initiative of the Asia-Pacific Economic Cooperation led by the United States (U.S. Department of Labor) with co-sponsorship from the governments of Australia, Japan, Malaysia, Peru, Chinese Taipei, and Viet Nam. As a project of APEC’s Human Resources and Development Working Group (HRDWG), Project DARE seeks to enable APEC workforce with the data analytics competencies demanded by employers today and to secure the jobs of tomorrow.
Posted on May 2, 2017 May 2, 2017 by DMAIPHPosted in Analytics in the Philippines, Analytics Training, Business Strategy with Analytics, General AnalyticsTagged Analytics in Education, Analytics in Higher Education, Analytics in the Philippines, APEC, Business Analytics, Dan Meyer, Data Analysis, DMAIPH, manila analytics, phil, philippines analytics training, Project DARE. Leave a comment	