

<p>It may seem unusual that someone can be more experienced in Python and SQL than typing on a physical keyboard, but that’s exactly how some people started off their careers in data science. Felix Ayoola, a learner and partner of ours in Nigeria who <a target="_blank" href="https://www.datacamp.com/donates/stories/felix-ayoola">previously</a> commended the <a target="_blank" href="https://www.datacamp.com/mobile">DataCamp for Mobile app</a>, continues to sing its praises: “A lot of people here who were gifted access to data science education through DataCamp Donates started off learning on their phones—in fact, much of the tech community as a whole here have similar stories of using a mobile phone as a crucial first step in their learning journey. There’s a data scientist friend of mine who was gifted a laptop after she had spent years learning on a phone—this proved to her family that a laptop would be a worthy investment. There was also someone I know who learned coding exclusively from his phone and started up his own recruitment business. Through the earnings, he was able to afford a laptop.”</p>
<p>Personal finances are the main driver of this. “Very few people in Nigeria can afford both a phone and a computer,” Felix continues, “and because a good-quality phone can cost half the price of a second-hand old laptop, we often start off there. Additionally, broadband is very expensive here, much more so than data. A quirk of Nigerian cellular services is that you can get some data packages very cheaply but they can only be used at night. As a result, many of us get one of these and do any data-intensive activities at night—this can include DataCamp courses.”</p>
<blockquote>
<p>“Because of the challenges associated with accessing a PC in my country, DataCamp enhancing the mobile phone learning experience is a great way to broaden access to data science education.”</p>
</blockquote>
<p>DataCamp for Mobile was initially born to supplement learning on the PC, as a quick and easy way of getting some practice in while learners have five minutes to spare. However, as DataCamp usage has picked up throughout the developing world, the dynamics of mobile usage have shifted, too:</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1630070399/datacamp-mobile-blog_fqbkz1.png"></center></p>

<p>Furthermore, in line with Felix Ayoola’s anecdote, Nigeria takes the lion’s share of DataCamp Donates learners accessing DataCamp content through their cell phones, with almost 40% coming from this country alone. 20% of DataCamp Donates learners worldwide access our content solely through mobile devices, and we are hoping to expand this figure!</p>
<p>Understanding how this happened goes hand in hand with understanding the proliferation of cell phone usage in the developing world, including the reasons behind this and the effects.</p>
<hr>
<p>Once just a little device for talking to people, now the cell phone is a mini-computer that can do all sorts of amazing things thanks to built-in features and a plethora of apps—anyone who remembers early iPhone adverts telling us “there’s an app for that” will remember how revolutionary this was.</p>
<p>But moreover, smartphones and the contracts they come with are cheap. At least, some brands are. The crux of it all is, you can get a lot for little thanks to them. Nowhere is this made more apparent than in the developing world, where their usage is skyrocketing. Nowadays you’d be hard-pressed to find a country in which fewer than 70% of people own or share a cell phone. PC ownership, however, remains low.</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1630078213/datacamp-mobile-blog-4_ufmw4n.png"></center></p>

<p><center><a target="_blank" href="https://www.pewresearch.org/internet/2019/03/07/use-of-smartphones-and-social-media-is-common-across-most-emerging-economies/">Source</a></center></p>
<p>And this isn’t solely the result of developing countries having expanding middle classes: even on the lowest incomes, people find themselves able to afford access, at the least, to a cell phone. This can be through sharing a device like the widespread existence of <a target="_blank" href="https://timesofindia.indiatimes.com/blogs/voices/one-device-households/">one-device households</a> in India or through allocating a huge portion of this income to their phone bill (for example, the World Bank reported that for the median African cell phone user this portion is <a target="_blank" href="https://documents1.worldbank.org/curated/en/896971468194972881/pdf/102725-PUB-Replacement-PUBLIC.pdf">13%</a>).</p>
<p>Cell phones have changed lives for the better, beyond the happiness of being able to contact loved ones or share one’s life on social media. M-Pesa, an app used for transferring money and receiving loans, is used by at least 96% of households in Kenya and has been credited with improving the financial situation of <a target="_blank" href="https://www.usglc.org/blog/the-technology-thats-making-a-difference-in-the-developing-world/">1 in 10</a> Kenyan families living in extreme poverty. Cell phones can also be invaluable when hardship strikes: 90% of Syrian refugee households in Lebanon own a cell phone, using them to access information, transfer money, stay in touch with friends and family, and translate foreign languages into their own. Today <a target="_blank" href="https://journals.sagepub.com/doi/full/10.1177/2056305118764432">communal charging stations</a> are a near-quintessential facility in refugee camps.</p>
<p>Mobile technologies have been able to answer some of the more unique challenges in education in the developing world. <a target="_blank" href="https://en.unesco.org/news/unesco-study-shows-effectiveness-mobile-phones-promoting-reading-and-literacy-developing-0">Illiteracy</a> is being combatted through free learn-to-read apps and voice-to-text technology, which has been especially useful for visually impaired individuals. Also, practice makes perfect: the thought that a collection of printed books might be more expensive than a mobile phone with access to a <a target="_blank" href="https://www.geopoll.com/blog/teaching-through-a-phone-mobile-and-education-in-the-developing-world/">digital library</a> would have been unthinkable years ago, but such have the times changed.</p>


<p>In line with DataCamp’s mission to democratize data, we have enhanced the learning experience on mobile. We are working on making the app experience faster, which will have a big effect when running code in the app on a cellular connection, and negate the effect of slow internet. We are exploring translating the app into Hindi and Spanish since these are two of the most commonly used languages in the developing world. We have also expanded the amount of content available through the app, from offering entire courses to short lessons complete with coding exercises so that one can gain a sizable amount of data science education without ever needing to touch a PC.</p>
<p>Individuals from one of DataCamp Donates’ partners, <a target="_blank" href="https://www.datacamp.com/donates/stories/gdsc-dha-suffa-university">DSC Suffa</a>, recently gave the following testimonials regarding Mobile:</p>
<p>“Mobile was my first experience with DataCamp. It was a very smooth and easy process with hands-on practice provided. The app is an amazing feature that allows me to complete my learning from anywhere, with a practice platform that runs easily on it too. The points I earned after watching completing exercises were a constant push and motivator to do more and excel.
Thanks a lot DataCamp for this amazing opportunity!”
-Syed Husnain Haider Bukhari</p>
<p>“Just like DataCamp&#39;s desktop portal, the mobile app is equally fast, efficient, responsive, and interactive. The interface is quite engaging and user-friendly which makes navigation very easy. Also, the learning notifications and performance tracking mechanism play an instrumental role in keeping me motivated and thus help me do at least a few exercises regularly. The only thing I&#39;d like to be included in the app is a view of the leaderboard. Other than this, the app is doing excellent and the developers at DataCamp deserve great appreciation for it.”
-Omar Hanif</p>
<p>“It’s a great app, portable, easy to use, and convenient. Plus it has a built-in shell and code editor so you don’t have to worry about the coding stuff if you are away from your system. It has all the features of its desktop site. I would highly recommend that others give it a try.”
-Ali Raza Ali Qadri</p>
<p><em>DataCamp Mobile is free to install and available on the <a target="_blank" href="https://apps.apple.com/us/app/datacamp-learn-data-science/id1263413087">Apple Store</a> and <a target="_blank" href="https://play.google.com/store/apps/details?id=com.datacamp&amp;hl=en_US&amp;gl=US">Google Play</a>. We also have an app-exclusive feature known as lessons, which consist of a short video followed by 3-6 coding challenges. There are typically fifteen lessons per course, and Mobile allows you to take one lesson for free every day—perfect for keeping your mind sharp!</em></p>
<p><em>A huge thanks to Felix Ayoola, who inspired the writing of this article. He works as a freelance designer, and if you would like to get in touch with him you can do so through <a target="_blank" href="https://www.linkedin.com/in/ayoolafelix/?originalSubdomain=ng">LinkedIn</a>.</em></p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/c_scale,w_292/v1630001650/a-cellular-story-6_ot0gje.png"></center></p>


https://www.datacamp.com/community/blog/a-cellular-story

Because democratizing data is our mission, it’s not often we do it accidentally. Here we discuss how cell phones have radically improved life in the developing world, and how a feature we designed for five minutes on the subway grew into something much larger and massively broadened access to data science education.

Here we discuss how cell phones have radically improved life in the developing world, and how a feature we designed for five minutes on the subway grew into something much larger and massively broadened access to data science education.

A Cellular Story: DataCamp for Mobile in the developing world

<p><center><a target="_blank" href="https://www.datacamp.com/certification"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629916991/how-can-i-get-certified-1_od8wwh.png"></center></p>

<p>Data science certifications come in various forms. Some of them can be done part-time at low cost, while others will be more expensive and take up more of your time. Certifications can also vary based on what else they provide: some are certification-only, some come with a training period beforehand, and some will assist you in the process of landing a job afterward.</p>
<p>Ultimately deciding which certification you should pursue should be based on these four things:</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629916991/how-can-i-get-certified-2_avxhek.png"></center></p>

<p>There are a number of different organizations that offer data science certificates, but we’ll focus on four different types of providers:</p>
<ol>
<li>Higher education</li>
<li>Certification only providers</li>
<li>Certification and learning platforms</li>
<li>Bootcamps</li>
</ol>
<h3 id="higher-education-">Higher education:</h3>
<p>The most traditional option, going to university or college, is definitely a good one if you’re intent on data science as a career path, with more and more institutions offering data science courses. However, it is worth pointing out that <strong>you don’t necessarily need to study data science itself</strong> in order to land a job in the field. In many cases, job listings will ask for a “quantitative degree”, which can cover a broad range of numerical subjects—statistics, mathematics, economics, etc. Augmenting such a degree with an additional certification in data science can be a way to prove your interest to employers while at the same time keeping your options in other career fields open.</p>
<h3 id="certification-only-providers-">Certification only providers:</h3>
<p>There are organizations that specifically tailor themselves to getting you certified in the form of <strong>chartership</strong> (Adasci in India and DASCA in the USA), so if you apply it will be assumed that you know all the underlying information already. Additionally, since they are staffed by researchers and industry experts their exams are constantly updated, so make sure you stay on top of data science news and trends!</p>
<h3 id="online-learning-platforms-">Online learning platforms:</h3>
<p>There are also websites whose certification services will encompass a quiz at the least—the sky’s the limit from there on out. We’d be remiss if we didn’t mention DataCamp—<a target="_blank" href="https://www.datacamp.com/certification">our new certification service</a> consists of various exam-style questions, assignments, and a live presentation delivered to experts and non-technical audiences, to ensure you are fully prepared for the challenges you might face in a data science career. Afterward, you will have access to our <a target="_blank" href="https://www.datacamp.com/careerservices">careers service</a>, where advisors with industry links will be able to assist you in your job search.</p>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629987487/how-can-i-get-certified-3_hplosp.png"></center></p>

<blockquote>
<p>&quot;We had a whole conversation around my resume. Working with the DataCamp career services team really helped me position myself for success during my job search.&quot;</p>
</blockquote>
<p><center>-<a target="_blank" href="https://www.datacamp.com/community/blog/certified-learners-landing-dream-jobs">Peter L’Oiseau</a>, Sports Analyst for the Canadian Olympics Team</center></p>
<p>Other options include Coursera, who have partnered with IBM, Google, and the Indian Institute of Technology to create a variety of certification tracks suited to various data science professions; Udacity, who have partnerships with major companies including Kaggle, IBM, and Starbucks; and Google who have a Data Analytics Professional certification.</p>
<h3 id="bootcamps-">Bootcamps:</h3>
<p>Bootcamps can be a great option if price is less of a concern than time. They generally take around two months to complete and cost upwards of $3,000. Some have excellent industry links and people who graduate from them can expect to get a job within 90 days.</p>
<blockquote>
<p>&quot;I enrolled in a full-stack web development bootcamp called Le Wagon where I was able to hone my skills through three months of intensive learning. After this, I went out and looked for employment within web development, and that was when I came across DataCamp.&quot;</p>
</blockquote>
<p><center>-<a target="_blank" href="https://www.datacamp.com/community/blog/employee-spotlight-jeremaia">Jeremaia Harrison</a>, Full Stack Web Developer at DataCamp</center></p>
<p>The most important thing to bear in mind when choosing a method is substance over style. A good certification should be reinforced with teaching by supportive experts, theory that is up-to-date, and practice exercises that reflect real-life scenarios. Learn in a way that challenges you but at the same time helps you retain everything, and you’ll know you’ll have found the right method.</p>
<p>Below are some examples of providers to help further guide your decision:</p>
<h4 id="online-certifications">Online certifications</h4>
<div class="output_wrapper"><table>
<thead>
<tr>
<th>Organization</th>
<th>Types of certification</th>
<th>Cost ($)</th>
<th>Time commitment</th>
</tr>
</thead>
<tbody>
<tr>
<td>DataCamp</td>
<td>Data Science Certification</td>
<td>29/month</td>
<td>Own pace</td>
</tr>
<tr>
<td>Google</td>
<td>Data Analytics Professional Certification</td>
<td>40/month</td>
<td>10hrs/week over 6 months</td>
</tr>
<tr>
<td>Udacity</td>
<td>Data Science Nanodegree program</td>
<td>1.4K</td>
<td>10 hrs/week over 4 months</td>
</tr>
<tr>
<td>Coursera</td>
<td>IBM Data Scientist</td>
<td>40-80/month</td>
<td>4 hrs/week, 11 months</td>
</tr>
<tr>
<td></td>
<td>IBM Data Analyst</td>
<td>40-80/month</td>
<td>3 hrs/week, 11 months</td>
</tr>
<tr>
<td></td>
<td>Google Data Analytics</td>
<td>40-80/month</td>
<td>10 hrs/week, 6 months</td>
</tr>
<tr>
<td></td>
<td>IIT Data Science &amp; Machine learning cert</td>
<td>1.5K</td>
<td>6-8 hrs/week, 6 months</td>
</tr>
<tr>
<td>edX</td>
<td>Harvard Data Science Professional</td>
<td>1K</td>
<td>2-3 hrs/week, 1.5 years</td>
</tr>
<tr>
<td></td>
<td>MIT Statistics &amp; Data Science (MicoMasters)</td>
<td>1.5K</td>
<td>10-14 hrs/week, 1 year</td>
</tr>
</tbody>
</table></div>
<h4 id="universities">Universities</h4>
<div class="output_wrapper"><table>
<thead>
<tr>
<th>Organization</th>
<th>Types of certification</th>
<th>Cost ($)</th>
<th>Time commitment</th>
</tr>
</thead>
<tbody>
<tr>
<td>Harvard</td>
<td>Harvard Data Science Professional</td>
<td>800</td>
<td>2-3hrs/week over 1.5 years</td>
</tr>
<tr>
<td></td>
<td>Data Science Graduate Certificate</td>
<td>12K</td>
<td>1.5 years</td>
</tr>
<tr>
<td>University of Toronto</td>
<td>Data Science certificate</td>
<td>4K or 1K/course</td>
<td>160 hrs</td>
</tr>
<tr>
<td>Indian Institute of Technology (IIT) Roorkee</td>
<td>Data Science and Machine Learning Certificate</td>
<td>1.5K</td>
<td>8hrs/week over 6 months</td>
</tr>
</tbody>
</table></div>
<h4 id="certification-providers">Certification Providers</h4>
<div class="output_wrapper"><table>
<thead>
<tr>
<th>Organization</th>
<th>Types of certification</th>
<th>Cost ($)</th>
<th>Time commitment</th>
</tr>
</thead>
<tbody>
<tr>
<td>Certified Analytics Professionals (CAP)</td>
<td>Associate certified analytics professional</td>
<td>700-1000</td>
<td>16-20 hours</td>
</tr>
<tr>
<td></td>
<td>Certified analytics professional</td>
<td>800-1100</td>
<td>18-25 hours</td>
</tr>
<tr>
<td>Data science council of America (DASCA)</td>
<td>Big data engineering</td>
<td>500- 600</td>
<td>Self-paced depending on candidates experience</td>
</tr>
<tr>
<td></td>
<td>Big data analytics</td>
<td>585-620</td>
<td>Self-paced depending on candidates experience</td>
</tr>
<tr>
<td></td>
<td>Data scientist</td>
<td>650-950</td>
<td>Self-paced depending on candidates experience</td>
</tr>
<tr>
<td>The Open Group</td>
<td>Three levels of certification: DS, Master Certified DS and Distinguished DS</td>
<td>150-400</td>
<td></td>
</tr>
<tr>
<td>Association of data scientists (Adasci)</td>
<td>Chartered Data Scientist</td>
<td>250</td>
<td>3 hour exam</td>
</tr>
</tbody>
</table></div>
<h4 id="bootcamps">Bootcamps</h4>
<div class="output_wrapper"><table>
<thead>
<tr>
<th>Organization</th>
<th>Types of certification</th>
<th>Cost ($)</th>
<th>Time commitment</th>
</tr>
</thead>
<tbody>
<tr>
<td>Le Wagon</td>
<td>Data Science course in London</td>
<td>10K</td>
<td>9 wks (full time)</td>
</tr>
<tr>
<td>General assembly</td>
<td>Data Science immersive online</td>
<td>16K</td>
<td>2.5 months (full time)</td>
</tr>
<tr>
<td></td>
<td>Data Analytics course (beginner)</td>
<td>5K</td>
<td>40 hours</td>
</tr>
<tr>
<td></td>
<td>Data Science course (working professionals)</td>
<td>5K</td>
<td>60 hours</td>
</tr>
<tr>
<td>BrainStation</td>
<td>Data Science Bootcamp online</td>
<td>15K</td>
<td>2.5 months</td>
</tr>
<tr>
<td></td>
<td>Data Science Course online</td>
<td>3.2K</td>
<td>1.5 month</td>
</tr>
<tr>
<td>Thinkful</td>
<td>Data Science Bootcamp</td>
<td>18.5K</td>
<td>5-6 months</td>
</tr>
</tbody>
</table></div>
<p>(Disclaimer: while the prices and other details listed were correct at the time of writing, they may have changed since then)</p>
<p><em>Interested in getting certified through DataCamp? Click <a target="_blank" href="https://www.datacamp.com/certification">here</a> to find out more.</em></p>
<p><center><a target="_blank" href="https://www.datacamp.com/certification"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629916991/how-can-i-get-certified-1_od8wwh.png"></center></p>


https://www.datacamp.com/community/blog/how-can-i-get-certified

Find out about all the different ways to get certified in data science and the factors you should consider when making your decision.

How can I get certified in data science?

<p><p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629739212/us-uk-high-schools-2_sxfn5s.png" /></a></center><p></p>
<blockquote>
<p>Every. Single. Job. Is going to be data-intensive.</p>
</blockquote>
<p>Eric Schmidt, the former CEO of Google and now the founder of Schmidt Futures, switches his camera on one June evening. He is about to speak for ten minutes at the start of an event with <a target="_blank" href="https://www.datascience4everyone.org/">Data Science for Everyone</a>, an event that has brought together industry leaders, educational institutions, policymakers, and other individuals committed to elevating the spread of data literacy.</p>
<p>What better way to illustrate the importance of data than to discuss how nowadays we generate more data every forty minutes than we did in the entirety of time before 2003? What better way to drive home the importance of education than to discuss how the Virginia public education system made him into what he was today? Nor does he beat about the bush, especially with regards to data literacy. “Every. Single. Job. Is going to be data-intensive.”</p>
<p>Having set the scene, he goes on to introduce the event itself. There will be a lot of announcements made today, but he takes the audience through a few he wishes to highlight — one of which is DataCamp’s new <a target="_blank" href="https://www.datacamp.com/groups/classrooms">mission</a> to offer our platform for free to secondary and postsecondary teachers and students around the world.</p>
<blockquote>
<p>DataCamp for Classrooms has seen usage in over 23,000 classrooms, reaching more than 500,000 active college and university learners to date.</p>
</blockquote>
<p>And we’re not stopping there: DataCamp is proud to announce that DataCamp for Classrooms is available to all high schools across the US and UK with plans to expand to more countries, starting with Belgium later this year. DataCamp for Classrooms allows teachers and their students free Professional access to our platform, which includes everything in our individual Premium plan, and even more! Teachers can utilize the all-important Assignments feature, whereby they can assign any piece of content with a deadline to their students, send automated email reminders, and see who has completed the assignments (and when!). On top of Assignments, DataCamp for Classrooms also includes:</p>
<ul>
<li>An organization dashboard</li>
<li>Teams</li>
<li>Leaderboards</li>
<li>Reporting</li>
<li>Live chat for admins</li>
</ul>
<p>DataCamp for Classrooms has already seen great success: <a target="_blank" href="https://medium.com/martijn-theuwissen/why-we-decided-to-give-up-10-of-our-revenue-6c9fbe7d4f81">beginning in late 2016</a> when we decided to forgo discounted subscriptions for college and university educators and instead make them completely free, DataCamp for Classrooms has seen usage in over 23,000 classrooms, reaching more than 500,000 active college and university learners to date.</p>
<p><p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1628790729/uk-us-high-schools_y5s1u8.png" /></a></center><p></p>
<p>For many students, this was their first-ever foray into the world of data science, given the freshness of the field. We received tons of glowing feedback from them regarding the courses’ ease of use and interactivity, in no small part thanks to the ability to practice using simulations of the software which spared the need to download anything. Thanks to this we decided to take things a step further and begin offering our content to high school teachers.</p>
<blockquote>
<p>Big data is revolutionizing the world, and it will soon become a quintessential part of computing classes in schools.</p>
</blockquote>
<p>Much like Schmidt Futures and many of the event’s other attendees, DataCamp’s goal has always been to create a better-educated world, in our case one in which all people are equipped with the skills to extract insights from data and inform decision making. Big data is revolutionizing the world, and it will soon become a quintessential part of computing classes in schools, as intrinsic as how to type on a QWERTY keyboard, the basics of preparing a document or staying safe from online threats.</p>
<p><a target="blank" href="https://www.datacamp.com/groups/classrooms">Signing up</a> is completely free, so whether you would like to give us a try or are ready to get your students started in learning data science, we are looking forward to you joining! Classroom subscriptions last six months, after which time you may reapply. And if you’re reading this as a student, feel free to pass this on to your teacher so your whole class can access our content for free!</p>
<p>If you would like to rewatch the Commitments Event with Data Science for Everyone you can do so by <a target="_blank" href="https://us02web.zoom.us/rec/play/dYS7XdYMNCf4Zwd8wCsYROJJitIaY48MOvI-ZciG8sYx-0mBwRgvALnoN6lqpsnoYaW-SeyEZi8Fx5GI.TpdCnrGoo5NUi-s6?continueMode=true&amp;_x_zm_rtaid=9ZkD5a9_RkGOOwT6EOHHhg.1625054448250.af2a3d236e8fbe4325a66a646e8a8c90&amp;_x_zm_rhtaid=408">clicking here</a> and if you would like to follow them on Twitter you can do so on <a target="_blank" href="https://twitter.com/dsforeveryone">@dsforeveryone</a>.</p>


https://www.datacamp.com/community/blog/us-uk-high-schools

DataCamp was delighted when Eric Schmidt, former CEO of Google, shared our mission to provide access to our content to US high school teachers and students for free. Now we’re pleased to announce DataCamp for Classrooms has been expanded to UK high schools, just in time for the 2021/2022 school year!

DataCamp was delighted when Eric Schmidt, former CEO of Google, shared our mission to provide our content to US high school teachers and students for free. DataCamp for Classrooms has been expanded to UK high schools, just in time for the school year!

DataCamp is now free for US and UK teachers and their students!

https://www.datacamp.com/community/blog/effective-data-storytelling-how-turn-insights-into-actions

In this episode of DataFramed, we speak with Brent Dykes, who dives into the blueprint of effective data stories, and how they underpin organizational data literacy and drive adoption of analytics at scale.

Effective Data Storytelling: How To Turn Insights Into Actions

<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629382150/a-thousand-days-of-datacamp-5_geathj.png"></center></p>

<h3 id="how-has-datacamp-aided-you-in-your-professional-life-">How has DataCamp aided you in your professional life?</h3>
<p><strong>Joshua Beron:</strong> I work for this startup called SmileMD as a scrum master, a company that delivers anesthesia services to patients. It really gives a whole new meaning to your work when you’re able to use your skillset for social good. I’ve continued to learn on DataCamp primarily so that I can communicate with the data scientists in my company.</p>
<p><strong>Oleh Pasko:</strong> Having left my last job, I’m now searching for alternative employment, and I find putting my DataCamp certificates on my LinkedIn has helped a lot in getting noticed by recruiters. I’m constantly getting asked, would you like to consider this and that opening, so I’m in quite a strong position. The real benefit of DataCamp is that I have been able to do my learning in a self-paced way and that has really helped me to show to recruiters that I am enthusiastic about continuously upskilling.</p>
<p><strong>Sean Mulready:</strong> I work in aerospace on algorithm development for Autonomous Systems. DataCamp has helped in a couple of ways. There are specific bits of information that I learned from DataCamp that I was able to apply directly to something I was developing. Additionally, during periods of work where my workload was more administrative, DataCamp allows me to keep working my analytic muscles.</p>
<blockquote>
<p>I tried a lot of different platforms but ultimately DataCamp was my favorite.</p>
</blockquote>
<h3 id="how-did-you-discover-data-science-and-why-did-you-choose-datacamp-">How did you discover data science and why did you choose DataCamp?</h3>
<p><strong>Joshua:</strong> My interest in data came from an interest in hockey when I realized that we could use it to answer all sorts of what-if questions. When I was in college studying computer science I found that DataCamp covered so much that my school didn’t in an easy-to-understand way.</p>
<p><strong>Oleh:</strong> My first exposure to technology was in the early 90s when a computer terminal was brought into my school, a rarity back then in Ukraine. Following in my father’s footsteps, I joined the police after high school, training in their university to join their IT department. I worked there for eighteen years and this saw me using databases and analyses to monitor crime patterns, not just in Ukraine but also in Kosovo, Liberia, and Sudan when Ukrainian police officers were tasked with helping the United Nations on peacekeeping operations. It was a pretty interesting career for me, and ultimately working with all this data meant I wanted to learn more in order to improve my skillset. I tried a lot of different platforms but ultimately DataCamp was my favorite.</p>
<h3 id="what-has-kept-you-motivated-to-learn-">What has kept you motivated to learn?</h3>
<p><strong>Joshua:</strong> The driving force behind a lot of what I do comes from my sister. On top of other health issues, she has this really rare neuromuscular disorder called Charcot Marie Tooth, and that’s given a personal angle to what I do. I’ve always sought to be the best brother I can and helping her really instilled that empathy in me, but moreover, it’s the fact that she’s kept herself going through it all. She’s very sharp, training up to be a psychologist, she keeps herself in good shape and she’s a very kind person, and I think that really inspired me to do the best I can.</p>
<p><strong>Oleh:</strong> Staying motivated isn’t too difficult for me since I just have it on my to-do list and it’s become a habit, though I would say the first 21 days were the hardest. But once you reach a certain point, a certain number of days, you start thinking to yourself, “I can do this” and you keep it going.</p>
<p><strong>Sean:</strong> If you&#39;re not investing time in improving yourself, it&#39;s easy to become complacent and plateau or even potentially set back your career. With all the offerings for online coursework at sites like DataCamp, there&#39;s never been a better time to get back into learning or maintain a learning regimen. Even if it&#39;s only a few minutes at a time, I think everyone should be learning on at least a semi-regular basis.</p>
<h3 id="how-much-time-do-you-spend-each-day-learning-on-datacamp">How much time do you spend each day learning on DataCamp</h3>
<p><strong>Joshua:</strong> Generally the five-minute bracket, but I would sometimes have days when I’d have more time on my hands, and that was when I would do courses or assessments—half an hour, an hour, say, and I started to put DataCamp certificates of completion on my wall. That also kept me going, kept me thinking “OK, what’s the next one?”</p>
<p><strong>Oleh:</strong> I typically do only five minutes a day, but there are times when I will have more time to spare so I can do a chapter of a course. Sometimes I will do multiple chapters if I am getting close to the end, since I love the feeling of completion that comes with it!</p>
<p><strong>Sean:</strong> Typically five minutes a day. Before my son was born I exclusively focused on MOOCs for learning. DataCamp made it easy to get back into learning without committing to a full course load of material. A goal of mine for the next 1,000 days is to more regularly dedicate 30 mins to an hour for learning.</p>
<h3 id="were-there-any-days-when-you-came-close-to-losing-your-streak-">Were there any days when you came close to losing your streak?</h3>
<p><strong>Joshua:</strong> The app has saved my bacon a few times: there was one time when it was something like two minutes to midnight, and this was on day five or six hundred. I only really remembered because my Uber was running late and, as you do, I pulled out my phone and started to ponder ways to kill time—and that’s when it hit me.</p>
<p><strong>Oleh:</strong> Honestly, I did not have any days when I came close to losing my streak since I could see any “difficult days” such as catching a flight coming, so I would plan accordingly—doing it in the morning, for example.</p>
<p><strong>Sean:</strong> Yes, I had other streaks over 100 days beforehand that ended because I missed a day. For this streak, I had a near miss once when my last cell phone died and I had to replace it.</p>
<h3 id="do-you-have-any-advice-for-other-learners-">Do you have any advice for other learners?</h3>
<p><strong>Joshua:</strong> It’s about having some self-love, thinking about what the best version of yourself would be, and using the tools at your disposal to bring that about. And that goes for learning—sometimes we have to act independently from systemic education, so we have to be willing to take on something a bit more self-paced and self-assessed.</p>
<p><strong>Oleh:</strong> Set up daily reminders on your phone, and make sure they come at times when you likely won’t be too busy. And plan ahead for any days when you might be, so that you can schedule your practice for another time.</p>
<p><strong>Sean:</strong> Quite a lot, but my top three tips are:</p>
<ol>
<li><p>Start small. If you&#39;re thinking about learning in your free time or haven&#39;t done so in a while just pick something and start learning. It&#39;s more important to break through that inertia and get into a learning groove than to choose an optimal first topic.</p>
</li>
<li><p>Don&#39;t worry about becoming an expert at the latest and greatest. While it&#39;s important to be aware of and familiar with what&#39;s out there, by the time you become an expert it may no longer be relevant.</p>
</li>
<li><p>Learn the math. You don&#39;t have to be able to prove calculus or be the next Gauss or Euler, but mathematics is fundamental to so much of Data Science and Machine Learning. Time invested here will be worth your while.</p>
</li>
</ol>
<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629303317/a-thousand-days-of-datacamp-1_dnlocv.png"></center>
As a “well done” from DataCamp, we sent Joshua and the rest of the learners some merchandise!</p>


<p><em>By request of Joshua, we would like to draw your attention to a <a target="_blank" href="https://interland3.donorperfect.net/weblink/WebLink.aspx?name=E13111&amp;id=128">fundraiser</a> his family has set up to help fund research into CMT, the condition his sister and many other teenagers have. If you would like to help, donations are currently being matched by the CMT Association!</em></p>


https://www.datacamp.com/community/blog/thousand-days

There is a small handful of people who have achieved over 1,000 days in a row of DataCamp learning. We recently spoke to a few of them to find out about their backgrounds, what keeps them going, and what advice they have for you!

A Thousand Days of DataCamp

<p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1629220691/datacamp-digest-1_ayvtas.png" /></a></center><p>

DataCamp Digest is our newsletter aimed at providing the most up-to-date insights and news on all things data science. In this edition of the newsletter, we discuss the latest in chatbot technology, the future of AI in government, digital transformation after the pandemic, and more.

<p><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612888906/insights_qhc4kg.png" /></a></center></p>

<h4 id="-digital-transformation-after-the-pandemic-https-mitsloan-mit-edu-ideas-made-to-matter-digital-transformation-after-pandemic-mit-sloan-school-"><a target="_blank" href="https://mitsloan.mit.edu/ideas-made-to-matter/digital-transformation-after-pandemic">Digital transformation after the pandemic</a>  / <em>MIT Sloan School</em></h4>
<p>The COVID-19 outbreak uncovered many outdated assumptions about digital transformation. Technology firms pivoted overnight to enable remote work, distance learning, and other initiatives. In this article, learn four key initiatives to focus on to sustain digital transformation after the pandemic.</p>
<h4 id="-winning-with-ai-is-a-state-of-mind-https-www-mckinsey-com-business-functions-mckinsey-analytics-our-insights-winning-with-ai-is-a-state-of-mind-mckinsey-analytics-"><a target="_blank" href="https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/winning-with-ai-is-a-state-of-mind">Winning with AI is a state of mind</a> / <em>Mckinsey Analytics</em></h4>
<p>Going from running artificial intelligence (AI) experiments within a small team to capturing long-lasting value at scale requires an investment in shifting mindset and organizational culture. Learn how you can make that shift to become a truly AI-enabled organization.</p>
<h4 id="-the-future-of-ai-in-government-https-www2-deloitte-com-us-en-insights-multimedia-podcasts-ai-strategy-for-government-leader-html-deloitte-insights-"><a target="_blank" href="https://www2.deloitte.com/us/en/insights/multimedia/podcasts/ai-strategy-for-government-leader.html">The future of AI in government</a> / <em>Deloitte Insights</em></h4>
<p>When mentioning the use of artificial intelligence in government, things can get a little tense, especially in the field of national defense. During this podcast episode, Bob Work, former U.S. Deputy Secretary of Defense (2014-2017) talks about the perception and use of AI during Obama’s and Trump’s administrations.</p>
<p><br><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612888907/Editor_s_Picks_nj17hh.png" /></a></center></p>

<h4 id="-applying-advanced-speech-enhancement-in-cochlear-implants-https-ai-googleblog-com-2021-07-applying-advanced-speech-enhancement-in-html-google-ai-blog-"><a target="_blank" href="https://ai.googleblog.com/2021/07/applying-advanced-speech-enhancement-in.html">Applying Advanced Speech Enhancement in Cochlear Implants</a> / <em>Google AI Blog</em></h4>
<p>Hearing aids can help alleviate the symptoms of the hard of hearing, but amplifying sound sometimes is not enough. In this article, the Google AI team discusses how cochlear implants in combination with speech enhancements using AI, can further provide a better quality of life for those with hearing disabilities.</p>
<h4 id="-why-ai-struggles-to-recognize-toxic-speech-on-social-media-https-hai-stanford-edu-news-why-ai-struggles-recognize-toxic-speech-social-media-stanford-hai-"><a target="_blank" href="https://hai.stanford.edu/news/why-ai-struggles-recognize-toxic-speech-social-media">Why AI Struggles To Recognize Toxic Speech on Social Media</a> / <em>Stanford HAI</em></h4>
<p>If AI police are so efficient, smarter and faster than the human eye, why do we still fail to remove fake news and toxic messages from social media posts? Learn more in this deep dive by the Stanford Institute of Human Centered AI.</p>
<h4 id="-deepmind-says-it-will-release-the-structure-of-every-protein-known-to-science-https-www-technologyreview-com-2021-07-22-1029973-deepmind-alphafold-protein-folding-biology-disease-drugs-proteome-mit-technology-review-"><a target="_blank" href="https://www.technologyreview.com/2021/07/22/1029973/deepmind-alphafold-protein-folding-biology-disease-drugs-proteome/">DeepMind says it will release the structure of every protein known to science</a> / <em>MIT Technology Review</em></h4>
<p>When DeepMind solved a 50-year challenge by predicting the structure of proteins using AlphaFold, it took the world of biology by surprise. Now, the London-based company has open sourced its AlphaFold algorithm, and announced that it has used it to  predict nearly every protein in the human body, which will allow biologists to better understand diseases and develop new drugs.</p>
<p><br><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612889346/Inspiration2_wxr25i.png" /></a></center></p>

<h4 id="-the-quick-and-dirty-guide-to-building-your-data-platform-https-www-montecarlodata-com-the-quick-and-dirty-guide-to-building-your-data-platform-monte-carlo-data-"><a target="_blank" href="https://www.montecarlodata.com/the-quick-and-dirty-guide-to-building-your-data-platform">The Quick and Dirty Guide to Building Your Data Platform</a> / <em>Monte Carlo Data</em></h4>
<p>In today’s fast changing industry, building a data platform is no longer a nice-to-have but a need-to-have. Barr Moses, CEO of Monte Carlo, who joined us in the <a target="_blank" href="https://www.datacamp.com/community/podcast/creating-trust-in-data-with-data-observability">DataFramed Podcast</a>, discusses the six layers needed to build your data platform.</p>
<h4 id="-data-engineers-spotlight-netflix-https-netflixtechblog-com-data-engineers-of-netflix-interview-with-kevin-wylie-7fb9113a01ea-the-netflix-tech-blog-"><a href="https://netflixtechblog.com/data-engineers-of-netflix-interview-with-kevin-wylie-7fb9113a01ea">Data Engineers Spotlight (Netflix)</a> / <em>The Netflix Tech Blog</em></h4>
<p>Kevin Wylie, a data engineer at Netflix shares his journey from MySpace to joining Netflix. Kevin’s story at Netflix started with the task of designing Netflix&#39;s entertainment knowledge graph to manage a great team of people with diverse backgrounds and skills.</p>
<h4 id="-managing-supply-and-demand-with-ml-https-doordash-engineering-2021-06-29-managing-supply-and-demand-balance-through-machine-learning-doordash-engineering-blog-"><a target="_blank" href="https://doordash.engineering/2021/06/29/managing-supply-and-demand-balance-through-machine-learning/">Managing Supply and Demand with ML</a> / <em>Doordash Engineering Blog</em></h4>
<p>In today’s on-demand economy, it is important to keep monitoring demand spikes in order to manage uncertainty and improve the reliability of products. Doordash’s machine learning model has allowed them to optimize supply and demand at a localized level in order to maximize revenue.</p>
<p><br><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612888937/Tools_and_Techniques_sf5hut.png" /></a></center></p>

<h4 id="-how-airbnb-measures-future-value-to-standardize-tradeoffs-https-medium-com-airbnb-engineering-how-airbnb-measures-future-value-to-standardize-tradeoffs-3aa99a941ba5-the-airbnb-tech-blog-"><a target="_blank" href="https://medium.com/airbnb-engineering/how-airbnb-measures-future-value-to-standardize-tradeoffs-3aa99a941ba5">How Airbnb Measures Future Value to Standardize Tradeoffs</a> / <em>The Airbnb Tech Blog</em></h4>
<p>As your organization grows, decision making can become a set of tradeoffs that benefits some stakeholders and not others. Learn how Airbnb has implemented a score matching model to optimize the organization’s decision-making process.</p>
<h4 id="-giving-chatbots-long-term-memory-a-deep-dive-into-blenderbot-2-0-https-ai-facebook-com-blog-blender-bot-2-an-open-source-chatbot-that-builds-long-term-memory-and-searches-the-internet-facebook-ai-"><a target="_blank" href="https://ai.facebook.com/blog/blender-bot-2-an-open-source-chatbot-that-builds-long-term-memory-and-searches-the-internet/">Giving chatbots long-term memory, a deep dive into BlenderBot 2.0</a> / <em>Facebook AI</em></h4>
<p>Blender 1.0 originally open-sourced in 2020 showing groundbreaking ability to combine conversational skills, such as personality, empathy, and knowledge in a single system. Now Facebook released BlenderBot 2.0, which builds on top of BlenderBot 1.0, with long term memory and the ability to find relevant answers on the internet.</p>
<h4 id="-openai-releases-triton-a-programming-language-for-ai-workload-optimization-https-venturebeat-com-2021-07-28-openai-releases-triton-a-programming-language-for-ai-workload-optimization-venturebeat-"><a target="_blank" href="https://venturebeat.com/2021/07/28/openai-releases-triton-a-programming-language-for-ai-workload-optimization/">OpenAI releases Triton, a programming language for AI workload optimization</a> / <em>VentureBeat</em></h4>
<p>Recent AI models commonly involve natural language processing, computer vision, and other domains. These models heavily rely on well-suited multicore hardware such as GPUs, which make running these models expensive and inefficient. OpenAI released Triton, an open source, Python-like programming language that enables you to write highly efficient GPU code for AI workloads.</p>
<p><br><center><a target="_blank" href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1612889508/From_DataCamp_c6kasv.png" /></a></center></p>

<h4 id="-webinar-the-learning-leader-s-guide-to-data-fluency-https-www-datacamp-com-resources-webinars-the-learning-leaders-guide-to-data-fluency-"><a target="_blank" href="https://www.datacamp.com/resources/webinars/the-learning-leaders-guide-to-data-fluency">Webinar: The Learning Leader&#39;s Guide to Data Fluency</a></h4>
<p>In this webinar, Adel Nehme, Data Science Evangelist at DataCamp, explains what is a data fluent organization, and explores what data fluency competency areas organizations should look to foster. Catch the on-demand webinar to learn how to scale your data talent transformation program.</p>
<h4 id="-podcast-66-the-path-to-building-data-cultures-https-www-datacamp-com-community-podcast-the-path-to-building-data-cultures-"><a target="_blank" href="https://www.datacamp.com/community/podcast/the-path-to-building-data-cultures">Podcast: #66 The Path to Building Data Cultures</a></h4>
<p>In this episode of DataFramed, Sudaman Thoppan Mohanchandralal, Regional Chief Data &amp; Analytics Officer at Allianz Benelux explores the importance of building data cultures in your organization and how to operationalize data culture transformation programs.</p>
<h4 id="-webinar-preventing-fraud-and-boosting-ecommerce-with-data-science-https-www-datacamp-com-resources-webinars-preventing-fraud-and-boosting-ecommerce-with-data-science-"><a target="_blank" href="https://www.datacamp.com/resources/webinars/preventing-fraud-and-boosting-ecommerce-with-data-science">Webinar: Preventing Fraud and Boosting eCommerce with Data Science</a></h4>
<p>In this webinar, we speak with Elad Cohen, VP of Data Science and Riskfield to discuss how implementing different models could help you prevent fraud on your ecommerce site, while getting your consumers safely to the checkout page.</p>
<p><br><center><a target="_blank" href="https://www.datacamp.com/business/demo"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_2_m573ef.png" /></a></center></p>


https://www.datacamp.com/community/blog/digest-august-2021

Digital transformation after the pandemic, optimizing supply in an on-demand economy, the use of AI in national security and more in the August edition of the DataCamp Digest. 

DataCamp Digest: The future of AI in national security

<p><p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1628696876/five-reasons-to-get-datacamp-for-students_itcbdl.png" /></a></center><p></p>
<ol>
<li><p><strong>You’ll get <a target="blank" href="https://www.datacamp.com/student_plan">premium</a> access at a student price:</strong> courses led by expert instructors, with interactive elements right the way through; assessments to test what you’ve learned; a Workspace feature where you can develop your portfolio using Python or R (SQL coming soon); and a Certification service, which will involve getting recognition of your skills from DataCamp.</p>
</li>
<li><p><strong>Data is the new oil</strong>, from a standpoint of it being valuable if you can refine it. Being able to collect and organize data in a way that it can be used to spot patterns, tell stories, and inform future decisions is a game changer for organizations. As a result data science is one of the fastest growing career fields, with demand for data scientists outstripping supply at the moment.</p>
</li>
<li><p><strong>We are already used by some of your potential employers.</strong> We are used by 80% of Fortune 1,000 companies, and more than 1,800 organizations. What better way to say you’re ahead of the game at the interview than to have already taken elements of their upskilling programs?</p>
</li>
<li><p><strong>It’s a handy skill-set even if you’re not a data scientist.</strong> Organizations are increasingly training their nontechnical staff in data science beginners’ courses, so showing that communication between you and the IT crowd will be frictionless is a lovely arrow in your quiver for the job hunt.</p>
</li>
<li><p><strong>You could already be on track to becoming a data scientist.</strong> If your degree involves mathematics in some capacity, that’s you already meeting the baseline requirement listed in many data science job postings. Taking some of our courses or getting certified through us can further improve your standing when applying for these jobs.</p>
</li>
</ol>
<p><em>And to top it all off, we’re offering a significant discount: <a target="_blank" href="https://www.datacamp.com/student_plan">sign on</a> today to unlock it!</em></p>


https://www.datacamp.com/community/blog/five-reasons-to-get-datacamp-for-students

There are all sorts of good reasons to start learning data science with us while you’re at university, and here we have condensed these into the magic number that is five. 

5 reasons to get a DataCamp premium student plan

<p><em>We recently spoke with two of our certified DataCamp learners on how getting certified and our personalized career coaching helped them land their dream jobs.</em></p>
<p><p><center><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1628865801/certification-help-land-dream-job_v3thgu.png" /></a></center><p></p>
<p>After learning and applying your skills on DataCamp, getting certified is the next step to help you launch or further your career in data science.</p>
<p>Peter is the perfect example of this experience.</p>
<p>From a young age, you could catch Peter playing multiple sports such as basketball, hockey, and his personal favorite, baseball. His love for playing sports spurred his interest in working in the field. After completing his studies at Carleton University, he landed a job as a sports statistician at the university. During this experience, Peter quickly came to realize that he needed to further upskill himself to continue his professional development in the sports analytics space.</p>
<p>This is where DataCamp came in. Peter spent a total of three years learning and practicing to continuously expand his skillset. Case studies provided the ideal opportunity to apply his skills to a portfolio, often working on one for two weeks.</p>
<p>Once DataCamp launched Certification, Peter jumped on the opportunity and successfully completed the assessments. After getting certified, Peter got access to our career services team that helped guide him through his job search.</p>
<blockquote>
<p>“We had a whole conversation around my resume. Working with the DataCamp career services team really helped me position myself for success during my job search.”</p>
</blockquote>
<p>Remember that little seed that was planted to work in the sports industry? Certification was his ticket in. Through this experience, Peter was able to land a job on the analytics team for the Canadian Olympics team! Given the success of the Canadian team at this year&#39;s Summer Olympics, we’re sure there will be lots for Peter to dive into: seven gold medals, six silver and 11 bronze!</p>
<p>Next up, we’d like to introduce you to Sebastian. Having recently moved to the United States (during a pandemic), Sebastian took this opportunity to further upskill his data science skills through DataCamp. After getting certified and working with our career services team, Sebastian landed his dream job in the pharmaceuticals industry at Johnson &amp; Johnson!</p>
<blockquote>
<p>“The process was awesome! Personalized sessions with top insight and recommendations!”</p>
</blockquote>
<p>Having moved from Colombia, Sebastian was not used to writing cover letters in the past. Our career services team was able to help him bridge this gap, and help position him for success.
In his next role, Sebastian will be working as a data analyst at Johnson &amp; Johnson, developing dashboards for insights, and in the future, aided with machine learning.</p>
<p>We wish them both the best of luck in their future endeavors!</p>
<p>Interested in getting certified by DataCamp? <a target="_blank" href="http://datacamp.com/certification">Get started</a> on your certification journey today</p>
<p><p><center><a target="_blank" href="http://datacamp.com/certification"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/v1628780064/certification_banner_ogbksj.png" /></a></center><p></p>


https://www.datacamp.com/community/blog/certified-learners-landing-dream-jobs

After training on DataCamp and successfully getting certified as professional data scientists, see how Peter and Sebastian landed roles in their target industries through DataCamp’s help.

community

datacamp

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