I’m paying $49 to watch marketing videos that are also on YouTube just so I can get this Coursera certificate

I’ve finished maybe the most tedious online course in existence. Getting Started with AI using IBM Watson, is quite possibly the worst online course I’ve ever taken.

This course was painful at best and a rip off at worst. It felt like one giant marketing campaign for Watson.

Bad corporate video? Check.

Terrible generic music overlaid PowerPoints? Check.

Endless praise for a product? Check.

Zero instruction? Check.

Videos can also be found on YouTube for free? Check.

The course is the second in a series for the IBM Applied AI specialization on Coursera, a certificate program I’m pursuing to help me get hands on experience with AI.

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Can you learn statistics and data science from a chatbot?

Korbit.ai

I’m deep in my learning journey to understand applied AI and machine learning. I’ve started by trying out intro courses to artificial intelligence for non-coders. I’m also looking at supplemental resources to help me understand more about data science and statistics, which are related to machine learning.

One of the most intimidating parts of learning applied AI is the math and statistics. I don’t have a background in either. I’ve been diving into resources like YouTube videos (Crash Course Statistics is amazing) and Khan Academy to learn the foundational math and statistics for machine learning.

But this process is piece meal. A lot of it is also pretty boring and requires piles of self motivation to sit through statistics lectures without the help of an instructor to liven it up. Plus, when I get stuck, there’s nowhere to turn.

So I was pretty stoked to stumble on Korbit.ai, a platform to learn data science by chatbot. Korbit.ai is the “first-ever personalized learning platform where you learn data science skills with an AI.”

Here’s what it looks like to have a chatbot as your teacher:

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Could LinkedIn be a teaching platform?

In my last post, I wondered if people considered LinkedIn a learning platform given their immense collection of online training for the workplace.

Now I’m thinking about the flip side: is LinkedIn a teaching platform? Could it be?

One of my LinkedIn contacts frequently teaches in his updates. He stands out from the rest of my contacts in that he’s not just promoting himself (or sharing those terrible #humblebrag stories.) Instead, he teaches and when he does, I learn things.

Most of his content is related to data analytics, a subject I’m super interested in. I’m currently studying Python for data analysis and contract for an AI startup. So I found it mighty helpful when he shared this:


And I really enjoyed learning new vocabulary and concepts from the post below, even though it’s still quite advanced for me.

He also shared a helpful tip for job seekers:

His content stands out from everyone else in my network.

I thought about him as I was writing the post on LinkedIn as a learning platform. When I asked in a Facebook group whether or not LinkedIn is a learning platform, two responses reminded me of him:

I learn a lot from my connections on LinkedIn but it’s their content, not the platform, that initiates this. LinkedIn needs a lot of work!

You can find people from which you can learn but it’s not the main focus of the platform

I wondered: could LinkedIn be a teaching platform? And would it be a more valuable place to spend your internet time if it were?

I’m not referring to teaching a course on LinkedIn learning. I’m interested in using LinkedIn to teach a subject using updates, videos, and shared content. What would it look like? Would people engage? How would they engage? I teach a variety of subject in workshops, webinars, and online courses. I’m curious what it’d look like to teach using LinkedIn.

This isn’t a new concept. I see career coaches occasionally teaching on LinkedIn.

I’ve just never tried it. I’m a power user on LinkedIn and I share articles of interest frequently. But I’ve never tried using it as a teaching tool. I’m interested in intentionally tried teaching a subject, planning a curriculum, and seek out diverse resources for people to explore on a given topic.

So I’m going to try an experiment on LinkedIn. For the month of August, I’m teaching people how to upskill.

The term upskilling is a phrase thrown around casually in organizational development and future of work circles. Upskilling is mostly focused on managers who are deciding between hiring new people or training existing employees to adapt to new business models. However, there isn’t much coaching for the actual workers who are trying to figure out how to reskill. From evaluating bootcamps, to selecting online courses that build digital skills, to finding ways to up your skills at work, upskilling is still a relatively new concept to many.

So I’m going to teach it. I spent a third of my book teaching people how to upskill. I’ll use that as my framework and content for teaching the subject on LinkedIn.

Since this is an experiment, I’ll document along the way. If you’re curious, follow me on LinkedIn and participate.

You can check out the syllabus for Upskill Yourself here.

Is LinkedIn a Learning Platform?

Full confession: I spend more time on LinkedIn than Instagram. My friends make fun of me when I tell them this. It’s embarrassing because LinkedIn is easily the least exciting social platform to spend your precious internet time on. But I speak and write about emerging careers and trends in upskilling, so LinkedIn is part of my daily internet consumption routine and embrace the awkwardness of it.

This week LinkedIn popped a recommended course into the top my feed.

That action reminded me that LinkedIn has an entire catalogue of courses on offer, a fact that I’d totally forgotten. Clearly this was the intent of the designers. They wanted to remind users like me that LinkedIn isn’t just a place to read professional #inspo stories of people you don’t know.

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Do employers care about your online certificate?

Recently I came across a certificate in Higher Education Administration from Northwestern. For $19,975, I can “deepen (my) understanding of the field and expand (my) networks.” Details on career outcomes or paths are notably absent. Instead the page offers the basics of college career services: “access to ongoing professional development support, one-on-one career coaching, academic advising and networking opportunities.”

The certificate reminded me of a Northwestern ad I saw last year promoting a $10,000 global mobility online certificate. The ad was marketed towards future international education professionals. As someone who has worked in international education for over a decade, I got a bit riled up. Aside from the fact that you don’t need a $10K certificate to get a job in international education, the program’s career preparation promises were lackluster at best. The lack of testimonials from employers raving about the certificate, or explaining how the certificate signaled a candidate’s competitiveness, was telling.

Despite my frustrations with certificates with lackluster career promises, I recognize the role certificates play as career paths and institutions adapt to changes in the market. Certificates are revenue generating programs which help institutions shore up revenue from diverse sources. Certificates also provide an attractive option to employees who want to upskill or change careers. They usually take under a year to complete. Certificates are frequently associated with a university brand name. While affordability varies by institution and certificate program, they’re cheaper than a full degree and they qualify for financial aid.

However, data on career outcomes from non-degree credentialing – i.e. certificate holders – is hard to come by. Employers’ attitudes towards certificate holders are difficult to pin down, which makes it hard to know if certificates hold their value in the market or even determine the ROI on a $20K certificate.

Thankfully we’re a bit closer to understanding employer attitudes to non-degree credentials thanks to a new report by Burning Glass Technologies. A recently released report, The Narrow Ladder: The Value of Industry Certifications in the Job Market, examines how employers use certifications (not certificates) in the hiring process. Using their vast database of over 700 million job postings, Burning Glass Technologies examines the types of certifications that employers value, along with the skills and salary bump employees receive post-certification. It’s well worth a read for anyone who advises students or mid-career professionals about their upskill options.

“It’s not that the “non-degree” credentials are rare; more than a quarter of the employed U.S. population holds a license or certification, on top of any degrees they may hold. Certifications can be precisely tuned to industry needs, and they hold the promise of reducing the need for employers to rely on imperfect proxies, like college degrees. In certain occupations, certifications outline career ladders that define industries and give employers and job seekers alike guidance about what skills are necessary to advance.
Those occupations, however, are the exception, and if the nation is to close the skills gap, perhaps they should become the norm.”

Though the report focuses on certifications, its analysis provides material for examining certificate programs as well. Most importantly, it provides a clear difference between between certifications and certificates. The report examines employer attitudes towards certifications, which are “awarded by a certifying body, often an industry association or trade group, based on an examination process assessing whether an individual has acquired the designated knowledge, skills, and abilities to perform a specific job.” This differs from certificates, which the report defines as “short-term, professionally oriented credentials awarded by an educational institution (as opposed to an industry body) based on completion of specific coursework.” 

This distinction is important since few people outside of mobility circles realize the difference. There is a critical difference between these types of upskilling. With such similar terms an employee looking to upskill could be forgiven for thinking a university certificate in higher education administration will provide the same signal to future employers and salary bump as a CISCO Cisco Certified Network Professional certification (it doesn’t). The former is a revenue generation program from a university with little focus on skill building and an unclear career trajectory. The latter is an industry-approved career training model with clearly defined career paths.

What struck me most from this report was the role that certifications played in outlining both the skills and career paths that job seekers and employers agree on. Certifications are built from industry needs. Here’s an example of the skills needed for a AMA Digital Marketing Certification:

Are university certificate programs mapping their content offerings to industry needs? Maybe but we don’t know. The report also finds that employers value certifications that improve technical skills. Do employers feel the same about certificates? Hard to know.

On top of that, the report finds that employers vastly prefer certifications over certificates.

In 2015, the demand for certifications is approximately 1.5 million job postings, whereas only about 130,000 postings ask for certificates.

Is it possible that employer demand for certificates aren’t as in-demand as universities promise? Again, we don’t know, but this stat and the lack of employee perspectives in program marketing for certificates is telling.

Among the most important takeaways from the report, however, is this nugget:

Relatively few certifications actually have market value, and there is a shortage of easy-to-find information to sort out which credentials are pathways and which are blind alleys. More transparency in the certification market can significantly improve the returns people receive on their certification investments.

Finding out which credential pathways are legitimate is difficult. I’d argue the same for certificate programs. Will a certificate in higher education administration make a candidate more desirable than a candidate with 5+ years working in higher education? Will a certificate provide a salary bump or launch a job seeker into a more senior role? Will a certificate ensure the skills learned are still relevant in the next five years? The lack of this data makes it tough to answer these questions.

Since we don’t have those answers yet, it’s up to the job seeker/future certificate student to ask the hard questions before taking on a certificate. So for job seekers thinking about getting any certificate – online or in person – ask yourself these six questions before committing:

  • Does this certificate add to or improve your technical skills?
  • Does this certificate put you on a path to a hybrid job?
  • Does this certificate map to industry needs?
  • Does this certificate frequently appear as a requirement in your future job posting?
  • Will this certificate give you a salary or title bump? 
  • Will this certificate be relevant in five years? 

If you can’t answer these questions on your own or through a Google search, ask admissions. You’re investing in a certificate; it’s perfectly fine to ask about career outcomes. Ask to speak to participants in the program (don’t rely on testimonials). Look at LinkedIn profiles of certificate holders to understand their career paths. If you don’t get a clear answer, consider other options that are either cheaper (i.e. MOOCs), bootcamps, or certificate programs that detail the results.

Employees will need to upskill throughout their career. Certifications and certificates are one of many paths to do so. To make sure they’re actually beneficial to job seekers, we need a lot more data like the recent report from Burning Glass Technologies.

Higher education should do their part by ensuring their certificate programs bring career outcomes data – or employer perspectives towards their certificate – to the forefront of their marketing and information websites. Because right now career outcomes from all these certificate programs basically look like this:

Certificate programs career outcomes page

Want job security? Become a data translator

In my last role I talked with MBA recruiters about their hiring needs on the regular. When I asked what they were looking for in a candidate the most common answer was: people that can work with data. The need for data-savvy candidates spanned industries and roles. An MBA doesn’t guarantee someone has experience working with data. At the time MBAs were still trying to upgrade their curriculum to include this skill. Yet overwhelmingly hiring managers wanted people who understood how to work with data. These conversations happened in 2016. Now the need is even greater.

Data powers modern organizations. Your ability to identify relevant data, evaluate it, work with it, and communicate what actions to take based on it, is crucial to staying relevant in the business world. And this isn’t just for MBAs – this goes for anyone working in a business organization.

Thankfully you don’t have to be a data scientist to work with data. There are plenty of data-based opportunities that aren’t as hardcore as a data scientist. Some of those opportunities are summed up nicely in this HBR post, You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role

Companies have widened their aperture, recognizing that success with AI and analytics requires not just data scientists but entire cross-functional, agile teams that include data engineers, data architects, data-visualization experts, and — perhaps most important — translators.

Data translators are exactly what they sound like: people who can translate data into meaning. These are the employees who bridge the “technical expertise of data engineers and data scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and other frontline managers.” They’re natural communicators and collaborators. They adapt and understand business goals across teams. Data translators have major soft skills with a solid foundation in analytics. They’re are also highly employable. IBM estimates that by 2020 over 2 million analytics roles will need to be filled. Those organizations are going to need a shitton of data translators.

According to the HBR article above, the best hires come from inside the organization. This means you’ve got a chance at positioning yourself for this future-proof role.

If you’re not using data in your current job you have two options: find another role so your skills remain relevant or create your own data translator role within your department. This is a new, evolving role. Data translators may not currently exist in your organization. Or they may exist but operate under a different job title.

Prepare for the role by exploring opportunities inside your organization to work with data. Get to know your data science team (if there is one). Start a conversation with your boss about your involvement in data-driven projects. Ask about the departments goals. Ask which data is already analyzed and used to support business goals. Identify which data-driven projects exist on your team and then find a way to get involved or at least shadow the project. Create your own data viz project by watching YouTube videos about Tableau and using relevant data from your department. Present to your team about your findings. Then identify a department that you collaborate with regularly. Get to know their business goals and how they work with data to make strategic decisions. The ideal data translator works seamlessly across departments. Getting to know the people in other departments – as well as their business goals – will position you well for any data translation job. Also, you can supplement all of this with online courses. Coursera and FutureLearn have excellent options.

Your ability to work with data is a must-have skill. You need it if you want to move up. But you also need the skill to ensure your relevance in the next 5 years of workplace evolution. If you don’t have the skills and experience to work with data this is the time to start upskilling and adding data analytics to your skill collection.

The pain of upskilling

The benefits of the comfort zone are appealing. Steady (though not always satisfying) incomes, “secure” jobs, relaxed routines, and predictable schedules are as comforting to humans as they are to animals. In this phase, people limit their learning to things they learn on the job, not knowing that yesterday’s lessons rarely solve tomorrow’s challenges… Without skill upgrades or a willingness to learn, people are caught in a rut. They are unable to see when the next trend is about to catch up or when the current one is about to die. For the few that can see the new trend, the pain of having to upgrade their skills far supersedes the pleasure of staying in the comfort zone.- How to stay relevant in today’s rapidly-changing job market

Since reading this article I’ve thought about the above paragraph multiple times. The last part about the pain of upgrading our skills nailed it.

No doubt, professional change is painful. I’m part of a generation where the narrative has always been college degree = career success, full stop. Two degrees and five professional jobs later and I’m wondering if I’m staring at irrelevance in five years if I don’t upskill. I quit my well paying, secure job at Yale last year because I was stagnant with little hope of gaining new, relevant skills that prepared me for the future of work. While I’m starting my own company, I’m concerned I’m not keeping pace with the technical skills needed to stay relevant. Should I take a side job designing chatbots? How can I fit in learning to code in python so I can get closer to working with AI systems? I’m not thrilled by self-paced learning, so what are my options? Where do I find the time?

Telling people they need to update their skills and #alwaysbelearning is the first step. But the next step is harder. How do we teach people reskill? How do we help them identify what to change and how to change it?

That’s what I’m setting out to change in my upcoming book. If you’re curious, subscribe.

I keep failing at upskilling so here’s profesh New Years Resolution #2

I struggle with upskilling. I’ve failed out of more Coursera courses than I can count. I struggle with procrastination and attention (it’s the online course vs. the entire internet vs. Twitter vs. Instagram). Five ago I completed a Financial Accounting MOOC from Wharton just to see if I could do it (I did). Since then I haven’t managed to make it through a coding class or a data analytics specialization, despite desperately wanting those skills and being quite curious about them).

Last week I found this wonderfully in-depth article on learning to code in 2018. It’s written by Andrei Neagoie, a senior software developer, who is currently “building the ultimate course to teach dev skills.” The article is written in a way that made me feel like I could most definitely absolutely learn javascript in 2018.  If you’re thinking about upgrading your technical skills (even if some say it might be too late for your industry), read the article.

I’ve signed up for his ultimate course. As a course designer I want to see his instructional design approach. As a career coach, I want to understand the process people go through as they try to upskill, so I can build better courses to help them do it. As a person who needs to get her shit together and upskill, I want to upgrade my technical abilities and build interactive websites.

So here’s to 2018, the year of the upskill! 

 

Professional development by podcast

I feel like we’ve made online learning really transactional.
— Maria Andersen, on the Teaching in Higher Education podcast

It’s a challenge to find (and fund) relevant professional development opportunities as a self-employed person launching a new company.

I network a lot to keep connected to communities and ideas. I try to build learning networks from those connections but I have gaps in my learning networks. Recently I discovered the Learning in Higher Education podcast by Bonnie Stachowiok. The podcast focuses mostly on improving digital pedagogy, a subject near and dear to my heart. I’ve binged so many episodes of this podcast while neglecting my weekly favorites like Reply All, Game Plan, and On the Media. (there’s just not enough time for all my favorite in a week).

As I’ve binged I’ve realized how valuable this podcast is for my own professional development. I’m binging not just because I love the subject but because the perspective is so useful as I build the future of career education. I’m taking notes and thinking about how I’ll integrate play into courses or use new edtech resources. On the episode, Learning is not a spectator sport, I yelled in support, banging on my steering wheel, when the guest Maria Andersen said

You don’t actually learn until you engage with it.

With the flood of mediocre online learning experiences out there this rang so true. My goal as an instructional designer is to get students to engage with the content (without discussion forums) so the concepts stick. And thanks to this podcast I’m learning ways to do just that.

The host’s teaching skills are what makes this podcast such a joy to listen to. Not only am I getting incredibly useful content, she presents it in a thought provoking manner, much like you’d expect your favorite professor to do.

And then there’s the curated resources alongside the podcasts. This podcast is a goldmine for anyone who wants to improve their teaching, coaching, or facilitation skills. As an entrepreneur and instructional designer, it’s opened up a new way of thinking about professional development and growth.

This is how you connect online learning to career outcomes

FutureLearn, an online course provider with a gorgeous UX, is killing it when it comes to connecting online learning opportunities to career outcomes. I just stumbled on a link to their Become a Data Scientist page and when I landed I felt a little like this:

They nailed it. I’ve written previously about online course providers who fail to help learners articulate how their online courses improve career prospects. FutureLearn does this exceptionally well with their Become a Data Scientist page. It’s a model for online platforms who are targeting mid-level professionals on how to frame their course offerings: start with career outcomes then connect the courses to the outcomes.

It looks like this:

First give an overview of the career path: description, salary, job openings.

Then educate the student on the skills they need to become a data scientist. (this helps for the job search too as learners will be able to articulate the skills they’ve mastered)

Next, connect learners to opportunities that help them develop those skills.

(plus one for setting expectations with timeframes and workloads)

Finally, seal the deal with social proof and the benefits. 

Above all do it with good UX and design. FutureLearn does this wonderfully. The only thing I’d add is video testimonials or stories from students who have made the transition to a data scientist. I’m impressed which is hard to do since I’m definitely a critic when it comes to popular online learning experiences.

Now imagine if college majors were designed this way for prospective students?