<p><center><a href="mailto:donate@datacamp.com"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1616591654/zeeshan_usmani_ith4xe.png" /></a><br></p>
<p><em>Join Zeeshan Usmani for a live panel discussion this Friday, March 26 at 12:00 PM ET: “Changing Lives Around the World with DataCamp Donates.” He will join a diverse group of six influencers who live at the intersection of education, data science, and technology to shed light on how DataCamp Donates partners are providing free training for disadvantaged communities across the globe. You can watch the discussion on <a href="https://fb.me/e/1aevu5usu">Facebook</a>, <a href="https://youtu.be/75KN2vENEMQ">YouTube</a>, and <a href="https://www.linkedin.com/events/panel-changinglivesaroundthewor6778015864181538816/">LinkedIn</a>.</em></p>
<p>I’ve been following DataCamp ever since it launched in 2014. Their innovative technology was lightyears ahead of any other online learning platform and still is. I was a big fan then, and am an even bigger fan now. And that’s not because they still offer the best data education solution for individuals and businesses. It’s because they are radically changing the global data landscape through DataCamp Donates. This initiative is making in-demand skills available for free to thousands of students and unemployed people around the world, and companies everywhere should take note.</p>
<p>Countless people have asked me online and in person, “What’s the best way to learn data science?” My answer has always been the same: Use DataCamp.</p>
<p>To be specific, I recommend the <a href="https://datacamp.com/tracks/personalized-data-scientist-with-python">Data Scientist in Python</a> career track to beginners. It’s always been great, but now it’s improved with guided projects incorporated alongside the courses. I’m heartened to see how their course catalog has blossomed to include even more offerings on both sides of the skill spectrum. DataCamp’s new <a href="https://datacamp.com/courses?technologies=Theory">For Everyone courses</a> are particularly crucial for individuals and businesses just dipping their toes into the world of data, no coding required. Amazingly, all these courses are available for free right now when you make a free account on DataCamp. I think everyone in the world would benefit from taking them.</p>
<p>DataCamp is the best way to learn data science at your own pace. That’s never been in question. However, that’s not the reason I offered to write this guest post on DataCamp’s blog. I want to highlight the incredible opportunities DataCamp is affording disadvantaged communities worldwide with DataCamp Donates. When I saw firsthand how easy it was for student-led groups to attain free Premium one-year DataCamp subscriptions for aspiring scientists, analysts, and engineers in their network, I knew this was a movement I wanted to help spread around the world.</p>
<p>Many companies talk a lot about how they’re democratizing tech skills. When it comes to data skills, DataCamp is the only one truly doing it. They are practicing a new radical form of corporate philanthropy with DataCamp Donates by <a href="https://www.datacamp.com/community/blog/datacamp-donates">committing to donate 25,000 subscriptions around the world</a>. Nathaniel Taylor-Leach, the Community Partnerships Manager heading up the initiative, understands the specific needs and challenges facing schools and nonprofits in today’s harsh economic climate. He works with them to support their networks of committed learners who are hungry for the skills, experience, and confidence they need to get the jobs they want. I look forward to working with him to bring DataCamp Donates to more schools and nonprofits in the United States, Middle East, and beyond.</p>
<h4 id="-dr-zeeshan-ul-hassan-usmani-"><em>Dr. Zeeshan-ul-hassan Usmani</em></h4>
<p><em>Dr. Usmani is a Fulbright Scholar and Eisenhower Fellow. He holds a PhD and MS in Computer Science from the Florida Institute of Technology. His work has been mentioned in The Wall Street Journal, AOL News, Wired Magazine, NPR, MIT’s Technology Review, Florida Today, The Economist, Brown Journal of World Affairs, Journal of Defense Modeling and Simulation and CNN. He has authored dozens of research papers, articles, and several books. His research strengths include artificial intelligence, data sciences and predictive analytics. He was a Visiting Scholar at Brown University and an Industry Professor at Coventry University. He divides his time between Princeton, NJ, Colombo (Sri Lanka), Dubai (UAE) and Islamabad (Pakistan).</em></p>


https://www.datacamp.com/community/blog/zeeshan

Why Zeeshan Usmani, Pakistani data science and AI expert, recommends DataCamp as the best way to learn data science.

DataCamp Makes In-Demand Data Skills Available to Everyone

<h2 id="the-state-of-data-science-and-machine-learning-in-healthcare">The state of data science and machine learning in healthcare</h2>
<p>As healthcare continually advances through digitalization and digital transformation, it’s become one of the best equipped industries to maximize usage of data science and machine learning. Since 2015, venture capital investments in AI companies in healthcare have seen a 22X increase in Europe alone (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>).</p>
<p><center><a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1616079609/healthcaregraph_joljln.png" /></a><br></p>
<p>Data science and machine learning are transforming healthcare across several verticals, from patient care to pharmaceuticals and more. But scaling the impact of data science in healthcare requires careful consideration of many challenges, including compliance, data governance and oversight, data culture, and the availability of data skills.</p>
<h2 id="the-opportunity-for-data-science-and-machine-learning-in-healthcare">The opportunity for data science and machine learning in healthcare</h2>
<p>Today, the healthcare space is ripe for machine learning and data science due to the high volume of healthcare data and the many applicable use cases for public health outcomes. According to <a href="https://www.statista.com/statistics/1037970/global-healthcare-data-volume/">Statista</a>, the amount of data generated yearly in the global healthcare industry is around 2,314 exabytes (1 exabyte = 1B gigabyte), marking a 15X increase in the amount of data generated in global healthcare since 2013.</p>
<p>There are countless benefits for society in terms of improved population health outcomes. <a href="https://www.medtecheurope.org/wp-content/uploads/2020/10/mte-ai_impact-in-healthcare_oct2020_report.pdf">Deloitte</a> estimates that efficiencies gained through data science and machine learning use cases can save between 380,000 to 403,000 lives in Europe alone. Data science and machine learning can be integrated throughout the patient journey from prevention and early detection, to diagnosis, to treatment and care management.</p>
<p>For example, individuals can leverage wearables and <a href="https://www.babylonhealth.com/product/monitor">personalized applications</a> for early disease detection and prevention, or experience lower wait times with <a href="https://alixir.ai/">deep learning powered medical imagery analysis</a>. The research and development space is also gearing up to create massive gains in health outcomes, from <a href="https://postera.ai/about/">automated drug discovery</a> to DeepMind’s progress on protein folding with its <a href="https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery">AlphaFold</a> algorithm.</p>
<p>Healthcare providers across verticals can also realize massive gains in terms of cost savings and improved efficiencies. For instance, operationalizing data science and machine learning can save the European healthcare system between 170.9 to 212.4 billion euros a year (<a href="https://www.medtecheurope.org/wp-content/uploads/2020/10/mte-ai_impact-in-healthcare_oct2020_report.pdf">Deloitte</a>). Efficiency gains can run the gamut from pharmaceutical companies improving supply chain flows, to insurance providers optimizing commercial spend by predicting customer churn, to increased productivity through workflow automation across several verticals.</p>
<h2 id="data-science-and-machine-learning-use-cases-in-healthcare">Data science and machine learning use cases in healthcare</h2>
<h3 id="patient-care">Patient Care</h3>
<p>Data science and machine learning use cases can improve health outcomes for individuals and automate time-consuming administrative tasks for healthcare professionals.</p>
<p><strong><em>Appointment management</em></strong>: With the use of machine learning and rule-based artificial intelligence, healthcare providers can optimize for patient outcomes and alleviate resource mismanagement with automated appointment management.</p>
<p><strong><em>Early diagnostics and prevention</em></strong>: <a href="https://www.babylonhealth.com/product/monitor">Health monitoring applications</a> and <a href="https://store.alivecor.com/products/kardiamobile">wearables</a> leverage machine learning and descriptive analytics to provide important insights over various aspects of an individual’s health. These tools can empower individuals to make data-driven decisions around their health, and diagnose potential diseases early on.</p>
<p><strong><em>Patient triage</em></strong>: By using machine-learning powered <a href="https://www.mediktor.com/en">symptom checker applications</a>, healthcare providers can triage patients based on need and urgency. This can lead to massive decreases in wait times for patients and massive efficiencies gained for healthcare providers.</p>
<p><strong><em>Medical imaging and diagnostics</em></strong>: Arguably one of the most important use-cases for data science and machine learning in healthcare (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>), medical imaging and diagnostics promises a wide range of gained efficiencies and improved health outcomes across the board. With the use of deep learning, healthcare providers can <a href="https://arterys.com/">automate workflows</a> and deliver value to patients faster.</p>
<h3 id="business-processes-and-management">Business Processes and Management</h3>
<p>As in any industry, healthcare applications for data science and machine learning span a range of use cases for improved operational efficiency and customer experience.</p>
<p><strong><em>Robotic process automation</em></strong>: Using a combination of machine-learning and rule-based artificial intelligence, healthcare providers across verticals can streamline workflows and digitalize processes.</p>
<p><strong><em>Customer churn</em></strong>: Insurance providers can use machine learning to predict which customers will churn, which can help them retain customers and optimize marketing spend.</p>
<p><strong><em>Chatbots</em></strong>: With the use of chatbots, healthcare providers from hospitals to insurance agencies can deliver better customer service and faster time to value for healthcare consumers.</p>
<p><strong><em>Business Intelligence</em></strong>: Business intelligence combines business analytics, data manipulation, and visualization to help organizations make more data-driven decisions. By leveraging data insights, healthcare providers can gain more visibility into financial operations, automate compliance reporting, and much more (<a href="https://www.villanovau.com/resources/bi/business-intelligence-in-healthcare/#:~:text=By%20providing%20a%20foundation%20for,monitor%20and%20forecast%20patient%20diagnoses.&amp;text=With%20business%20intelligence%2C%20providers%20can,costs%20and%20improve%20operational%20efficiency.">Villanova University</a>).  </p>
<h3 id="pharmaceuticals">Pharmaceuticals</h3>
<p>With AI-powered drug discovery and improved supply chain management, pharmaceutical companies can leverage data science and machine learning to provide more value for individuals.</p>
<p><strong><em>Drug discovery</em></strong>: According to the <a href="https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf">AI Index Report 2021</a>, AI-powered drug discovery startups received the most private AI investments across all industries. The promises of ML-based drug discovery are <a href="https://www.ft.com/content/fe55190e-42bf-11ea-a43a-c4b328d9061c">starting to bear fruit</a>, and may result in massive gains in population health outcomes.</p>
<p><strong><em>Supply chain planning</em></strong>: The use of data science and machine learning in supply chain planning can reduce time to production, reduce wait times for vaccine deliveries, and optimize supply chain spend for pharmaceutical companies.</p>
<p><strong><em>Forecasting excellence</em></strong>: Using simple to complex forecasting tools, pharmaceutical companies can leverage population health data to forecast supply and demand for certain medications, as well as optimize business processes across the board for finance, marketing, sales, and more.</p>
<p><strong><em>Improving clinical trial processes</em></strong>: The use of data science and wearables can reduce risks for patients by <a href="https://www.berghealth.com/">automatically monitoring and flagging</a> any adverse effects during clinical trials. Moreover, machine-learning powered applications can speed up clinical trials by assessing patient eligibility, pre-screening, and randomization.</p>
<h2 id="challenges-and-risks-to-operationalizing-data-science-and-machine-learning-in-healthcare">Challenges and risks to operationalizing data science and machine learning in healthcare</h2>
<h3 id="data-quality-and-infrastructure">Data Quality and Infrastructure</h3>
<p>A significant challenge for any organization trying to operationalize and scale data science and machine learning is enabling a modern, secure, centralized, and discoverable data infrastructure (<a href="https://www.datacamp.com/resources/webinars/webinar-scaling-data-science-at-your-organization-pt-2">DataCamp</a>). The issue is especially true for healthcare organizations where data is still being digitized, and building large datasets is hindered by a lack of data interoperability and misalignment on quality between healthcare providers (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>).</p>
<h3 id="compliance-and-governance">Compliance and governance</h3>
<p>Since healthcare organizations collect highly valuable and sensitive data, governance and compliance are central aspects of operationalizing data science and machine learning in healthcare (<a href="https://www.collibra.com/blog/what-is-data-governance-in-healthcare">Collibra</a>).  While regulations differ between regions (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>), the healthcare industry contains one of the most complex regulatory landscapes. For example, the Health Insurance Portability and Accountability Act (HIPAA) in the United States dictates national standards for protecting and managing patients’ health data.</p>
<p>These types of health-specific regulations are only one aspect of the complex regulatory landscape for the healthcare industry. Data protection laws such as the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Protection Act (CCPA) create additional complexity for healthcare organizations when building and linking disparate datasets for data science and machine learning applications. As such, creating strong data governance and compliance is essential to operationalizing data science and machine learning in healthcare.</p>
<h3 id="skills">Skills</h3>
<p>Enabling data infrastructure and reaching consensus on regulatory frameworks are essential to operationalizing data science and machine learning in healthcare. But the most significant threat to the adoption of these technologies in healthcare is the data skills gap.  In fact, according to research by <a href="https://thedataliteracyproject.org/files/documents/Qlik%20-%20The_Data_Literacy_Index_October_2018.pdf">Qlik</a>, when ranking the data literacy of various industries, the healthcare industry is the least performing one. The lack of data skills within healthcare organizations hinders the utilization of data science and machine learning across verticals and limits the ability of organizations to create buy-in around data initiatives.</p>
<p>For example, frontline health workers need to have basic AI literacy to be able to understand and interact with machine-learning based systems and applications (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>). Managers and leaders at pharmaceutical or insurance companies need to understand what’s possible with data science and machine learning, so they can drive data initiatives and contribute to growing a data-driven culture (<a href="https://www.datacamp.com/resources/webinars/path-to-data-fluency">DataCamp</a>).</p>
<p>Merely hiring skilled data workers isn’t enough. There’s a shortage of talent that understands the complexities of healthcare and a shortage of data science talent in general (<a href="https://www.forbes.com/sites/louiscolumbus/2017/05/13/ibm-predicts-demand-for-data-scientists-will-soar-28-by-2020/">Forbes</a>).</p>
<blockquote>
<p>A lack of data literacy is the single largest enemy we are fighting. As the world becomes increasingly driven by data, it’s an even bigger challenge. Everyone has to understand the basics, and we have to be able to convey that in a way that is intuitive and fun</p>
<h5 id="-bill-zhang-chief-data-and-analytics-officer-aig-japan-https-go-thoughtspot-com-white-paper-hbr-new-decision-makers-thank-you-html-"><a href="https://go.thoughtspot.com/white-paper-hbr-new-decision-makers-thank-you.html">Bill Zhang, Chief Data and Analytics Officer, AIG Japan</a></h5>
</blockquote>
<h2 id="how-data-training-solves-the-healthcare-industry-s-data-challenges">How data training solves the healthcare industry’s data challenges</h2>
<p>Addressing the data skills gap is foundational to operationalizing data science and machine learning in healthcare. According to the <a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">World Economic Forum</a>, digital and data training in healthcare and pharmaceuticals can boost global GDP by more than 400 billion dollars by 2030. Creating a continuous learning culture is imperative to build the next generation of leaders in healthcare (<a href="https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf">McKinsey</a>), who will combine data and biomedical sciences to scale and operationalize the value of data science and machine learning in healthcare.</p>
<p><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1603718763/banner_style_1_cruuf7.png" /></a></p>


https://www.datacamp.com/community/blog/data-science-in-healthcare

The integrated use of data science and machine learning in healthcare has many applications for improving patient care, business processes and operations, and pharmaceuticals. But the healthcare industry faces considerable challenges in data quality and infrastructure, compliance and governance, and upskilling.

The integrated use of data science and machine learning in healthcare has many applications for improving patient care, business processes and operations, and pharmaceuticals. 

How Data Science is Transforming Healthcare | DataCamp

How Data Science is Transforming Healthcare

<p>One of the first DataCamp Donates partners is LaunchCode, a nonprofit offering free tech education and job placement opportunities, headquartered in St. Louis, MO. DataCamp Donates is our initiative to donate Premium DataCamp subscriptions to those who need a leg up to start a career in STEM in today’s harsh economy. Eight months later, we’ve donated over 21,000 subscriptions all over the globe, and we are witnessing how DataCamp has equipped real people in local communities to achieve their career goals.</p>
<p>“DataCamp fits directly into the mission we have here at LaunchCode—to provide free education for anyone looking to learn how to program regardless of what experience you have prior to taking a LaunchCode course,” says John Woolbright, Community Engagement Manager at LaunchCode. “When we started our partnership, we had next to no support for people who wanted to learn Data Science in Kansas City. Since then, I have been able to transition our students from web development into data science to get a more broad learning experience.”</p>
<h2 id="achieving-high-engagement-and-adoption-on-datacamp">Achieving high engagement and adoption on DataCamp</h2>
<p>The partnership was an instant hit with many of their learners. “I was excited to have a new avenue for personal and professional growth,” says Forest Roberts.</p>
<p>Other learners like Jen Murphy locked onto specific courses. “Introduction to Data Visualization with Seaborn explains concepts with clear videos. The hands-on learning is built in such a way that each question required more of me as a learner. By the last step, I was providing almost all of the required code on my own.”</p>
<p>The excitement generated by becoming a DataCamp Donates partner has led to extremely high adoption and engagement levels. “Our students have truly enjoyed DataCamp and find that time spent with the software is exceptionally valuable,” says John Woolbright. The numbers don’t lie—LaunchCode learners have completed an average of four DataCamp courses each (in addition to LaunchCode’s own computer science and programming courses).</p>
<h2 id="datacamp-builds-skills-for-job-readiness">DataCamp builds skills for job readiness</h2>
<p><center><a href="https://www.launchcode.org"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615918722/Megan_Cullins_iuxzhf.png" /></a><br></p>
<p>Some members of the LaunchCode community have even landed jobs with skills gained from DataCamp Donates partnership. Megan Cullins was in her ninth year working at an office furniture company when she first started learning with LaunchCode and DataCamp. She completed 50 DataCamp courses and accumulated 322,000 XP to expand her Python skills. “After a couple of months of learning, I was confident enough to interview and eventually landed a job at a data analytics company! I didn&#39;t know any Python before this class, but because of DataCamp I was able to honestly tell an interviewer that I did have experience, which helped me get a job with their company.”</p>
<p>John wasn’t surprised Megan was able to secure a position. It’s the speed at which she and others achieved job readiness that was so impressive. “We started by rolling out 25 seats for Kansas City in September. Onboarding students was a breeze. By the end of the year, four of the top DataCamp learners got jobs in data science with no previous experience—just three months of learning on DataCamp.”</p>
<p>The correlation between time spent learning on DataCamp and job readiness is not lost on Megan. “I feel that my access to DataCamp absolutely helped me get a job,” she says. “The lessons I learned on DataCamp are applied every day on my job, and I love it!”</p>
<p><em>To learn more about DataCamp Donates, read our recent <a href="https://www.datacamp.com/community/blog/datacamp-donates-50-partners">blog post</a> announcing 20,000 licenses donated to nonprofits as well as the <a href="https://support.datacamp.com/hc/en-us/articles/360051596574">DataCamp Donates FAQ</a>. To apply on behalf of an organization, email <a href="mailto:donate@datacamp.com">donate@datacamp.com</a>. If you live in the greater Kansas City and St. Louis areas and would like free data science education or you want to support LaunchCode’s efforts directly, visit <a href="https://www.launchcode.org">www.launchcode.org</a>.</em></p>


https://www.datacamp.com/community/blog/dcdonates-launchcode

Our partnership with LaunchCode is getting real people real jobs.

How a Nonprofit Leveraged DataCamp to Get Learners Employed, Fast | DataCamp

How a Nonprofit Leveraged DataCamp to Get Learners Employed, Fast

<p>From powering self-driving cars to conquering the game of Go, organizations have dominated headlines by making previously impossible tasks possible with data science. It is therefore easy to overlook the hidden data science revolution, which is that companies are increasingly making what is currently possible widespread. In other words, more companies are striving for stronger organizational data fluency.
An organization’s path to data fluency depends on five key pillars, according to Ramnath Vaidyanathan, the VP of Product Research at DataCamp: Infrastructure, People, Tools, Organization and Processes (IPTOP). In a <a href="https://www.datacamp.com/resources/webinars/the-path-to-data-fluency">webinar last month</a>, he shared a data fluency framework that any organization can use to advance in data maturity from data reactive to data scaling, data progressive, and data fluent.</p>
<h2 id="to-move-from-data-reactivity-build-a-data-culture">To Move from Data Reactivity, Build a Data Culture</h2>
<p>A data reactive company is at the lowest rung of the data maturity ladder. Such a company rarely accesses, uses, and presents data, contributing to the absence of a data culture. It uses disparate legacy tools to collect data in silos and perform ad-hoc data processes. Further, it does not invest in a data upskilling strategy to build data talent internally and in data infrastructure.
A company can progress in its organizational data literacy from data reactive to data scaling by building its data culture and data infrastructure. To inseminate such a data culture, the company should strongly consider pursuing low-hanging fruits that allow stakeholders to see the value of data literacy. These include proof-of-concept dashboards and analytics projects like customer churn modelling. The company can also begin developing its data architecture and data collection processes.</p>
<h2 id="depart-from-data-scaling-with-the-proper-infrastructure-and-organizational-model">Depart from Data Scaling with the Proper Infrastructure and Organizational Model</h2>
<p>Unlike a data reactive company, a data scaling company has some form of data strategy and culture. But its shortcomings are still apparent. It has very few employees with the necessary skills and access to analyze, report, and present data confidently, resulting in a weak data culture. Moreover, it lacks centralized data storage and teams, resulting in highly siloed datasets and data processes.</p>
<p>Considering these shortcomings, a data scaling company must improve its organizational data literacy. To do so, it must enable data access by working on its data infrastructure and by building centralized data storage. Such data infrastructure allows high-quality data to be stored in the cloud and easily accessed by all stakeholders. With appropriate data storage and access, employees are empowered to develop data quality standards. For example, DataCamp stores its data in Amazon Redshift, a cloud-based centralized data warehouse, and manages data pipelines using Apache Airflow. This marks a departure from siloed data that is difficult to reconcile and paves the way to a single source of truth.</p>
<p><center><a href="https://www.datacamp.com/resources/webinars/the-path-to-data-fluency"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615985155/fivetrain_whyweo.png" /></a></p>
<h5 id="a-simplified-view-of-datacamp-s-centralized-data-storage">A simplified view of DataCamp’s centralized data storage</h5>
<p>A data scaling company must also develop a clear organizational model for data scientists as part of its data maturation. Some companies choose to develop a centralized model characterized by a data science team, which acts as a <a href="https://hbr.org/2019/01/how-to-set-up-an-ai-center-of-excellence">center of excellence</a>, that handles requests from various functions like finance, marketing and engineering. Others decide to adopt a decentralized model, where data scientists are embedded within functions and handle the data needs of that function exclusively. A company should adopt the model that best fits its data and business needs.</p>
<p><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615985029/Model_jgxxzz.png" /></a><br></p>
<h2 id="transition-from-data-progressive-with-data-tools-and-processes">Transition from Data Progressive with Data Tools and Processes</h2>
<p>The next milestone in the company’s path of data fluency is the state of data progressive. In a data progressive company, every team has at least one data fluent employee who can analyze, report, and present their data. However, there is still room for improvement in terms of data quality and discoverability as a result of its maturing data infrastructure. Also, while the company’s employees have some level of data literacy, its data is almost exclusively used for reporting and is therefore underutilized. The value of data is further suppressed by the lack of data democratization contributed by the difficulty in accessing data tools and data processes.</p>
<p>To advance from the state of data progressiveness to data fluency, an organization should consider developing its data infrastructure, people, tools, organization, and processes simultaneously in accordance with the IPTOP data fluency framework.</p>
<p>To transition to data fluency, a company can reinforce its data culture by developing and investing in appropriate upskilling strategies for its people. This involves continuous data education that caters to the <a href="https://www.datacamp.com/community/blog/eight-personas">different data personas</a> and the business goals of the company. For instance, <a href="https://hbr.org/2016/10/atts-talent-overhaul">AT&amp;T&#39;s intensive talent overhaul</a> saw it investing $1B to upskill 140,000 employees over 10 years. Companies stand to benefit from a stronger data culture by incentivizing data-driven behaviors and rewarding data evangelists who actively promote the company’s data culture.</p>
<p>A company can also build internal data products that operationalize data processes as part of its data literacy program. These data products can be used to improve data quality standards and monitor business goals. For instance, DataCamp has <a href="https://www.datacamp.com/open-source">internal frameworks</a> that allow stakeholders to create presentation-ready visualizations of business metrics with minimal code.</p>
<p><center><a href="https://www.datacamp.com/resources/webinars/the-path-to-data-fluency"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615985174/image3_yiwxjc.png" /></a></p>
<h5 id="datacamp-dashboards-developed-easily-with-internal-frameworks">DataCamp dashboards developed easily with internal frameworks</h5>
<p>As a company progresses in organizational data literacy, it tends to move toward a hybrid model, where data scientists belong not only in the centralized data team but also in a functional team. This allows the data science team to build and share data tools that align with functional business goals.</p>
<p>Achieving data fluency requires organizations to make data an integral part of their processes. Such processes reduce the friction of extracting value from data and democratize data within the organization. For instance, <a href="https://medium.com/airbnb-engineering/data-quality-at-airbnb-e582465f3ef7">AirBnb’s Data Quality Initiative</a> defines and enforces the quality of datasets across the company, which in turn builds stakeholder trust in the data and strengthens the data culture. Netflix makes it seamless for stakeholders to create effective notebooks <a href="https://netflixtechblog.com/notebook-innovation-591ee3221233">by customizing notebook templates to different target personas</a>.</p>
<h2 id="become-data-fluent-with-the-iptop-framework">Become Data Fluent with the IPTOP Framework</h2>
<p>Finally, data fluency is a company’s ideal state of data maturity. In a data-fluent company, every employee has the skills to access and understand the data they need to do their jobs. They are empowered by reliable data infrastructure and tools that make data-driven decision-making seamless. Better yet, the company has data processes and organization models that enable cross-departmental collaboration to scale efficiently.</p>
<p>Clearly, an organization’s path to data fluency is not linear. It requires a clear data strategy and a strong data literacy framework. The chart below summarizes the steps an organization should take to move its data literacy from data reactive to data fluent using the IPTOP framework.</p>
<p><center><a href="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615989330/blueprint_data_fluency_przpge.png"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615989330/blueprint_data_fluency_przpge.png" /></a></p>
<p>For more on the path to scaling data maturity, <a href="https://www.datacamp.com/resources/webinars/the-path-to-data-fluency">tune into our webinar</a>.</p>


https://www.datacamp.com/community/blog/achieving-organizational-data-fluency

The blueprint for ramping your organization’s data maturity from data reactive to data scaling, data progressive, and data fluent.

Achieving Organizational Data Fluency with IPTOP | DataCamp

Achieving Organizational Data Fluency with IPTOP

<p><center><a href="https://www.datacamp.com/jobs/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614871377/Raushon_tnvnpe.png" /></a></p>
<h2 id="tell-us-about-your-path-to-joining-datacamp-">Tell us about your path to joining DataCamp.</h2>
<p>After graduating university, I started working in tech as a Project Manager, but it wasn&#39;t long before I became fascinated with product development and the idea of designing and building products people love. I transitioned into my first Product role over five years ago and that’s when I realized that I was made for this job. Since then, I’ve worked as a Product Manager in various industries, with my previous role being in Fintech. Having worked in Fintech for a few years, I was keen to work in a less regulated environment where I could be more creative and contribute towards something more meaningful, and DataCamp seemed like the right place for that.</p>
<h2 id="how-was-your-onboarding-experience-at-datacamp-">How was your onboarding experience at DataCamp?</h2>
<p>I would describe my onboarding experience at DataCamp as &quot;do what you think is best.&quot; What I mean by this is that I was given the freedom to figure out what would help me to settle in quickly and do just that. This definitely pushed me to be self-sufficient from day one, which in hindsight is a blessing in disguise as after just two months, I already feel like I’ve been here a long time.</p>
<h2 id="what-excites-you-about-datacamp-">What excites you about DataCamp?</h2>
<p>Collaborating with so many talented people.</p>
<h2 id="what-s-your-home-office-setup-">What&#39;s your home office setup?</h2>
<p>Surely you would think that after a year of working from home, I’d have invested in a proper office setup? But no, I currently sit at my vanity on the most uncomfortable chair for hours everyday! And only because I don&#39;t want to ruin the aesthetics of my home with an office chair.</p>
<h2 id="what-do-you-like-to-do-in-your-spare-time-">What do you like to do in your spare time?</h2>
<p>I am a huge gym lover. Pre-lockdown, when gyms were still open, I would go to the gym five times a week. Otherwise, I always have my head in a book (I carry a book with me wherever I go) or am exploring the outdoors, wandering around in nature or hiking. I also love playing the piano but that&#39;s when the people in my house aren&#39;t tired of the noise I apparently make.</p>
<h2 id="what-s-something-interesting-you-ve-learned-recently-">What’s something interesting you’ve learned recently?</h2>
<p>Making sushi from scratch.</p>
<h2 id="how-do-you-feel-about-datacamp-s-evolution-and-positioning-in-the-market-">How do you feel about DataCamp’s evolution and positioning in the market?</h2>
<p>DataCamp’s evolution is impressive to say the least. There aren’t many companies out there that position themselves as having a mission to fight data illiteracy. The platform is dedicated to providing people with hands-on learning opportunities at a cost that can be easily justified. DataCamp has also done a great job at differentiating itself from its competitors through its continuous focus on innovation, and <a href="https://www.datacamp.com/community/blog/datacamp-2-0">DataCamp 2.0</a> is the prime example of this differentiation.</p>
<h2 id="what-would-you-tell-others-who-are-considering-working-at-datacamp-">What would you tell others who are considering working at DataCamp?</h2>
<p>If you want to work for a company that will push you to new levels of success, DataCamp is definitely the right place. The company really wants its employees to thrive as it continuously focuses on creating an environment that is both empowering and positive. Ultimately, DataCamp employees are not all that dissimilar. We all want to come to work, do good work, and feel valued for it. We also want to know that we’re working toward something more, and at DataCamp this is exactly how you end up feeling, regardless of how long you’ve been with the company.</p>
<p><em>Would you like to join Raushon at DataCamp? We’re currently hiring in New York; London; Leuven, Belgium; and remote locations. Check out our <a href="https://www.datacamp.com/jobs/">open roles</a>.</em></p>


https://www.datacamp.com/community/blog/raushon

Q&A with Raushon Uddin, Senior Product Manager at DataCamp

New Hire Spotlight: Creating the Best Platform to Fight Data Illiteracy | DataCamp

New Hire Spotlight: Creating the Best Platform to Fight Data Illiteracy

<h2 id="two-and-a-half-years-ago-ai-singapore-aisg-selected-datacamp-https-www-datacamp-com-community-blog-ai-singapore-partnership-as-your-preferred-online-training-partner-what-milestones-have-been-reached-since-then-">Two and a half years ago, <a href="https://www.datacamp.com/community/blog/ai-singapore-partnership">AI Singapore (AISG) selected DataCamp</a> as your preferred online training partner. What milestones have been reached since then?</h2>
<p>Since the DataCamp collaboration was announced in August 2018, the AI for Students (AI4S)® programme has reached more than 21,000 students and the AI for Industry (AI4I)® programme has allowed over 5,000 working professionals to benefit from DataCamp as a learning resource to gain proficiency in Python and programming basic AI and data applications. As compared to traditional learning styles, DataCamp’s self-directed learning model works very well for working professionals, particularly in today’s digital economy.</p>
<h2 id="how-has-the-covid-19-pandemic-impacted-online-learning-for-aisg-s-learners-">How has the COVID-19 pandemic impacted online learning for AISG’s learners?</h2>
<p>We saw an impact in three areas:</p>
<ul>
<li>There was a heightened increase in requests for AI4S access in the early stages of the pandemic.</li>
<li>There has been a high take-up rate with working professionals too, as many were working from home during Singapore’s COVID lockdown (Circuit Breaker).</li>
<li>In terms of success, we saw an extraordinarily high completion rate of 45% for the first four batches of AI4I participants. This rate is much higher than the <a href="https://www.insidehighered.com/digital-learning/article/2019/01/16/study-offers-data-show-moocs-didnt-achieve-their-goals#:~:text=Among%20all%20MOOC%20participants%2C%203.13,percent%20the%20two%20previous%20years.">average MOOC completion rate</a>.</li>
</ul>

<h2 id="what-do-you-like-about-datacamp-">What do you like about DataCamp?</h2>
<p>Firstly, DataCamp’s pedagogy of short two-to-three-minute videos followed by hands-on coding exercises embedded as part of AI4I works, and it’s driving the high completion rate. We like that the DataCamp modules have a very user-friendly interface and are interactive and engaging for learners. DataCamp integrates with LMS (Learning Management Systems) and has a sandbox environment which enhances hands-on practice sessions.</p>
<p>The lesson structure is concise and straightforward and it helps that the content provided is delivered in a bite-sized format, which makes it easy for learners to digest. Other notable mentions include a whole suite of courses available, regular additions of new courses and updates, access to experts from the data science and analytics community, as well as real datasets for learners to work on.</p>
<p>The courses provided cater to a wide range of learners; in particular, they are  relevant to working professionals. As they are accessible online, busy working professionals can learn at their pace and will just need to set aside one or two hours to learn, freeing up more time as compared to having to spend time commuting from one location to another.</p>
<p>We particularly enjoy the gamification of lessons which provides an excellent and experiential way to learn, thus helping the students to progress through the different levels of difficulty.</p>
<h2 id="what-are-some-exceptional-results-you-ve-seen-since-implementing-datacamp-">What are some exceptional results you’ve seen since implementing DataCamp?</h2>
<p>DataCamp is the preferred platform for our learners compared to other content types. To date, feedback has been very positive. Users reported that they continue to use DataCamp as a useful learning and reference tool to keep them updated.</p>
<p>Here are two examples:</p>
<h3 id="ai-for-students-ai4s-">AI for Students (AI4S)®</h3>
<p>This programme takes secondary and tertiary students to the next stage of data fluency by equipping them with programming and data skills. To support their learning journey, educators from the Ministry of Education’s public schools can tap into AISG’s partnership with DataCamp to leverage the latter’s learning platform for teaching purposes. Students can also embark on independent learning in the lessons under AI4S which include learning Python programming and Git, which are necessary skills to get started in working with AI.</p>
<p>Since AI4S was launched in November 2018, it has reached more than 21,000 students across Singapore’s public schools.</p>
<h4 id="feedback-from-an-educator-and-student">Feedback from an educator and student</h4>
<p><center><a href="https://www.aisingapore.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614606957/2_quotes_1_jlv8k8.png" /></a><br></p>
<h3 id="ai-for-industry-ai4i-">AI for Industry (AI4I)®</h3>
<p>This programme is open to industry professionals such as technical executives, managers, and developers, as well as undergraduates. AI4I introduces participants to AI concepts and use cases, and equips them with the programming skills to build data and AI applications. It is hosted on AISG’s online AI Makerspace platform and leverages DataCamp for the learning resources that participants need to complete the programme.</p>
<h4 id="feedback-from-ai4i-participants">Feedback from AI4I participants</h4>
<p><center><a href="https://www.aisingapore.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614610004/4_quotes_2_hbsz3c.png" /></a><br></p>
<h2 id="what-would-you-tell-others-who-might-be-considering-partnering-with-datacamp-">What would you tell others who might be considering partnering with DataCamp?</h2>
<p>Go for it, get on the DataCamp platform today! DataCamp is the way to go. It’s a great learning platform for anyone who would like to build or deepen their data skills. It’s tailored for your needs and you get to learn at your own pace.</p>
<p>If you’re interested in learning more about AI Singapore and our talent programmes, please visit <a href="https://www.aisingapore.org/talentdevelopment">https://www.aisingapore.org/talentdevelopment</a>.</p>


https://www.datacamp.com/community/blog/AI-Singapore-2021

Q&A with Mr. Koo Sengmeng, Deputy Director of AI Innovation, AI Singapore

Blazing the Trail in Developing AI Literacy Across Singapore | DataCamp

Blazing the Trail in Developing AI Literacy Across Singapore

<p>DataCamp Digest is our monthly roundup aimed at providing the most up-to-date insights and news on all things data science. In this edition, we discuss why it’s hard to become data-driven, the traits of future-proof organizations, how to adopt a product mindset to building dashboards, and more.</p>
<p> <br><center><a 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></p>
<h3 id="-why-is-it-so-hard-to-become-a-data-driven-company-https-hbr-org-2021-02-why-is-it-so-hard-to-become-a-data-driven-company-harvard-business-review"><a href="https://hbr.org/2021/02/why-is-it-so-hard-to-become-a-data-driven-company">Why is it so hard to become a data-driven company?</a> | Harvard Business Review</h3>
<p>In 2021, to be a successful company is to be a data-driven company. This is why it’s no surprise that the majority of fortune 1000 organizations are investing in data and artificial intelligence initiatives. Despite this investment, only a few are reporting actual business impact. Find out how data culture and skills is the primary impediment to scaling value with data science, and what to do about it.  </p>
<h3 id="-how-to-build-data-literacy-at-your-company-https-mitsloan-mit-edu-ideas-made-to-matter-how-to-build-data-literacy-your-company-mit-sloan"><a href="https://mitsloan.mit.edu/ideas-made-to-matter/how-to-build-data-literacy-your-company">How to build data literacy at your company</a> | MIT Sloan</h3>
<p>Keeping with the same theme of building a data culture, this article deep dives into building data literacy programs at an organization. From assessing data skills, to building a culture of learning, find out the key components of a successful data literacy program.</p>
<p> <br><center><a 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></p>
<h3 id="-the-nine-traits-of-future-ready-companies-https-www-mckinsey-com-business-functions-organization-our-insights-the-nine-traits-of-future-ready-companies-mckinsey"><a href="https://www.mckinsey.com/business-functions/organization/our-insights/the-nine-traits-of-future-ready-companies">The nine traits of future-ready companies</a> | McKinsey</h3>
<p>A fun and interactive infographic on the key traits of future-proof organizations. Hint: Data and learning are fundamental pillars for future-proof organizations to accelerate growth.</p>
<h3 id="-why-are-video-calls-so-tiring-you-might-be-misreading-cultural-styles-https-stackoverflow-blog-2021-02-11-why-are-video-calls-so-tiring-you-might-be-misreading-cultural-styles-the-overflow"><a href="https://stackoverflow.blog/2021/02/11/why-are-video-calls-so-tiring-you-might-be-misreading-cultural-styles/">Why are video calls so tiring? You might be misreading cultural styles</a> | The Overflow</h3>
<p>One of our favorite reads of the month, this article dives into different communication styles and how they can improve or worsen remote work.</p>
<p> <br><center><a 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></p>
<h3 id="-one-question-to-make-your-data-project-10x-more-valuable-https-blog-narrator-ai-one-question-to-make-your-data-project-10x-more-valuable-narrator"><a href="https://blog.narrator.ai/one-question-to-make-your-data-project-10x-more-valuable/">One question to make your data project 10x more valuable</a> | Narrator</h3>
<p>Find out how to drive better alignment and impact on data analysis requests by asking one important question.</p>
<h3 id="-how-to-make-dashboards-using-a-product-thinking-approach-https-shopify-engineering-make-dashboards-using-product-thinking-approach-shopify"><a href="https://shopify.engineering/make-dashboards-using-product-thinking-approach">How to Make Dashboards Using a Product Thinking Approach</a> | Shopify</h3>
<p>Dashboards are one of the simpler and most impactful data products to build at an organization. In this article, Shopify Data Scientist Lin Taylor outlines a product thinking approach to maximize impact when developing dashboards for the organization.</p>
<h3 id="-why-external-data-should-be-part-of-your-data-strategy-https-mitsloan-mit-edu-ideas-made-to-matter-why-external-data-should-be-part-your-data-strategy-mit-sloan"><a href="https://mitsloan.mit.edu/ideas-made-to-matter/why-external-data-should-be-part-your-data-strategy">Why external data should be part of your data strategy</a> | MIT Sloan</h3>
<p>As organizations start making the most of their data for analytics and machine learning, they will need to begin leveraging external datasets to refine their models and analytics outputs. Find out more about the importance of external datasets in this article.</p>
<p> <br><center><a href="https://www.datacamp.com/groups/business"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614608698/Training_and_Resources_yh7mmx.png" /></a></p>
<h3 id="-data-observability-building-data-quality-monitors-using-sql-https-towardsdatascience-com-data-observability-in-practice-using-sql-755dc6421f59-barr-moses-ryan-kearns"><a href="https://towardsdatascience.com/data-observability-in-practice-using-sql-755dc6421f59">Data Observability: Building Data Quality Monitors Using SQL</a> | Barr Moses &amp; Ryan Kearns</h3>
<p>In this series of articles, Barr Moses and Ryan Kearns outline how to build data quality monitors in SQL to identify freshness and anomalies (Part 1), and extract the root cause of these data anomalies (Part 2).  </p>
<h3 id="-interpretable-machine-learning-https-christophm-github-io-interpretable-ml-book-index-html-christoph-molnar"><a href="https://christophm.github.io/interpretable-ml-book/index.html">Interpretable Machine Learning</a> | Christoph Molnar</h3>
<p>In this book, Christoph Molnar details the importance of explainable machine learning, techniques data teams can adopt today, and the future of machine learning interpretability.</p>
<p> <br><center><a 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></p>
<h3 id="-white-paper-our-guide-to-open-source-in-data-science-https-www-datacamp-com-resources-whitepapers-our-guide-to-open-source-in-data-science-"><a href="https://www.datacamp.com/resources/whitepapers/our-guide-to-open-source-in-data-science">White Paper: Our guide to open source in data science</a></h3>
<p>Just as it did for software development, open-source will empower organizations to make the most of their data and create transformative solutions, processes, and products with machine learning and data science. Find out all you need to know about open-source in data science in our exclusive new guide.</p>
<h3 id="-webinar-path-to-data-fluency-https-www-datacamp-com-resources-webinars-path-to-data-fluency-"><a href="https://www.datacamp.com/resources/webinars/path-to-data-fluency">Webinar: Path to data fluency</a></h3>
<p>Data-driven transformation is a long process requiring organizations to go through different data maturity stages. In this webinar, we outline what these data maturity stages are and what steps you can take to grow from one data maturity stage to another.</p>


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

Our favorite articles of the month include this one question that will make your data project 10x more valuable.

DataCamp Digest March 2021: The traits of future-proof organizations | DataCamp

DataCamp Digest March 2021: The traits of future-proof organizations 

<p>March 8th is International Women’s Day. Despite an increase in the number of women in science and engineering jobs from 1.3 million to 2 million in the last 20 years, women remain underrepresented in the workforce. The greatest disparities still occur in engineering, computer science, and the physical sciences. According to the <a href="https://ncses.nsf.gov/pubs/nsb20201/u-s-s-e-workforce">National Science Foundation</a>, women make up just 27% of computer and mathematical scientists and only 15% of the engineering workforce in the United States, and the global statistics paint a similarly unjust picture. Even once those women secure a job in these competitive arenas, they typically make $15,000 less per year than their white male counterparts. For many women of color in STEM jobs, that pay difference is <em>double</em> (<a href="https://www.pewresearch.org/social-trends/2018/01/09/women-and-men-in-stem-often-at-odds-over-workplace-equity/ps_2018-01-09_stem_a-09/">Pew Research Center, 2018</a>).</p>
<p>Several of our <a href="https://support.datacamp.com/hc/en-us/articles/360051596574">DataCamp Donates partners</a> are determined to change that. One way they’re doing it is by helping us give free access to DataCamp to women of all ages around the world for free. Read on to learn other ways these nonprofits are working to increase diversity in STEM industries.</p>
<p><br><a href="https://www.blackgirlscode.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963104/BGC-banner_pkstiv.png" /></a><br>
<a href="https://www.blackgirlscode.com/">Black Girls Code</a> is spearheading a global movement to establish equal representation in the tech sector. They work with a broad community all over the United States to convene and empower young girls of color by fortifying their self-confidence, exposing them to unseen possibilities in the digital age, and equipping them with the tools and habits of mind required to become tomorrow’s creators, innovators, and leaders.</p>
<p><br><a href="https://www.datasciencefem.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963086/banner-datasciencefem_jotxmm.png" /></a><br>
<a href="https://www.datasciencefem.com/">Data Science FEM</a> is a group of women in Colombia dedicated to studying data science, who are regular participants in the annual Women in Data Science (WiDS) Conference at Stanford University. They challenge their members to become Data Scientists in one year, sharing knowledge with a network of mentors, events, and sponsors.</p>
<p><br><a href="https://www.girlswillcode.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963086/banner-girlswillcode_mppury.png" /></a><br>
<a href="https://www.girlswillcode.com/">Girls Will Code</a> is a nonprofit organization founded by 17-year-old CS wunderkind Isabel Sieh that encourages girls to participate in activities related to coding, programming, robotics and engineering. Through this platform, girls can share ideas about their personal projects, promote interest in programming and robotics in a fun learning environment.</p>
<p><br><a href="https://www.simplestepscc.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963086/banner-simplesteps_wkqyf7.png" /></a><br>
<a href="https://www.simplestepscc.org/">Simple Steps Community Connection</a> is a 501c3 organization founded in 2017 to help female immigrant talent in achieving their professional goals. They build a community for female talent to support, provide self-development and skill-building training in need, and connect female immigrant talent with job opportunities. Started in the California Bay Area, they serve other cities and states around the U.S.</p>
<p><br><a href="https://www.sistersofcode.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963086/banner-sistersofcode_zm40ew.png" /></a><br>
<a href="https://www.sistersofcode.org/">Sisters of Code</a> is the first Cambodian female coding club. Their mission is to grow confidence among female students and share the joy of learning coding skills, empowering them for a successful digital future.</p>
<p><br><a href="https://wi-tech.org/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963086/banner-witech_divxoq.png" /></a><br>
<a href="https://wi-tech.org/">WiTech</a> (Youth for Women in Technology Inc.) is a youth-led nonprofit organization that aims to inspire, educate, and empower the youth to break gender barriers and make a difference using science and technology. Their goal is to achieve gender equality in the Filippino tech industry through increased networking opportunities and mentors for young women interested in entering the tech industry.</p>
<p><br><a href="https://womenshavenafrica.com/"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1615214570/banner-womenshaven_vlxyeu.png" /></a><br>
<a href="https://womenshavenafrica.com/">Women&#39;s Haven Africa</a> is an innovative entrepreneurial female hub creating a friendly and productive environment for the growth and development of women-led businesses, projects, and initiatives. They connect promising young women, startups, women-led organizations and women leaders with the business support, tools, and resources to thrive. Women&#39;s Haven Africa is focused on increasing the participation of women in Entrepreneurship, Leadership and Technology so they can provide viable and sustainable solutions for various challenges facing the world.</p>
<h2 id="partner-with-datacamp-donates">Partner with DataCamp Donates</h2>
<p>Do you know of any public high schools or nonprofit organizations that could benefit from partnering with DataCamp Donates? We have 5,000 more subscriptions to give away—apply at <a href="mailto:donate@datacamp.com">donate@datacamp.com</a>!</p>
<p><center><a href="mailto:donate@datacamp.com"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1614963242/DCD_feejli.png" /></a><br></p>
<p>Calling all students, unemployed, and underpaid aspiring data professionals around the world: our DataCamp Donates partners may be able to provide you with a free year of DataCamp if you meet their eligibility requirements, which vary between organizations. Visit the <a href="https://support.datacamp.com/hc/en-us/articles/360051596574">FAQ</a> to find the organizations closest to you and reach out to them directly for more information.</p>
<h2 id="join-the-datacamp-team">Join the DataCamp Team</h2>
<p>Lastly, if you&#39;re interested in democratizing data education, DataCamp is hiring talented humans from all walks of life. <a href="https://datacamp.com/jobs">Apply here</a>!</p>


https://www.datacamp.com/community/blog/datacamp-donates-women-partners

These trailblazing organizations are using DataCamp to bring more women into STEM education and careers.

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