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By reading widely, we explore many different areas of data science, and by reading deeply, we develop our understanding of a particular area of expertise. When submitting your first article, please be sure to also send your headshot and a brief bio. Its important to spend enough time thinking about how to translate complex models and statistical results into actionable insights for a non-technical audience. This guide aims to cover everything that a data science learner may need to write and publish articles on the internet. Our university intern ran a time series analysis for a his final project using a small open-sourced Python package. Challenges of contact tracing in a post-COVID world. Our in-house writers get paid per article bi-weekly, get access to our team of speakers for interviews, get conference tickets, and more benefits! Online Course: Data Science from Coursera | Class Central Its also important to stay open-minded: I try to admit in my articles when Im not entirely sure Im using the right method and I always welcome any corrections. If you LIKE to interview others, either via video or digital print, please contact the editors. Were willing to overlook a few mistakes as long as the article has compelling content. Amine Hadj-Youcef, PhD., an experienced researcher, wrote the article he wished he had read before writing research papers: Will Koehrsen believes that well-written blog posts can have a long shelf life, giving you a portfolio for potentially years to come, so write up that project you shipped last week: If youre still looking for a reason to get into data science writing, these candid reflections by fellow data scientists might motivate you to start today. Connect modern applications with a comprehensive set of messaging services on Azure. While on the topic of pictures PLEASE include a splash picture at the top of the article. .NET and Java, both languages, are widely used in the field of development. We prefer original content. Data Science - DataScienceCentral.com A data scientist collects, analyzes, and interprets big data to uncover patterns and insights, make predictions, and create actionable plans. We do not post fluff and aim to create technical content, largely designed for mid-level data scientists or decision makers/management. Seamlessly integrate applications, systems, and data for your enterprise. Great! Machine learning algorithms and convolutional neural networks are increasingly replacing traditional programming for a variety of activities, and data is becoming strategic within organizations rather than simply tactical. You must ask if your pitch is appropriate for the site first. Do you have interesting experience or tech insights? In practice, I aim for 90% and anything above that is a bonus. That being said, if you are confident enough to take on an entire project, then go for it! Articles are all in title-case, which means that the first letter of each word is capitalized, except for certain small words, such as articles and short prepositions. What is data science? Write for Us - Data Science and Big Data - DataScienceCentral.com Embed security in your developer workflow and foster collaboration between developers, security practitioners, and IT operators. This is one. The Internet is a great place to hang out in. However, a rough-around-the-edges project that gets completed is far better than the idealized project that can never be finished. Becoming a blogger on DSC is a good way to promote your proficiency in the field, to get the word out about interesting topics, or to gain the respect of your peers. Basically anyone can contribute as long as youre able to produce quality work that fits our audience and subject areas. Sep 9, 2022 Member-only Exploring Best Test Size, Number of Folds, and Repeated Hold-Out Study gains in guaranteed, supported, and mean accuracy; discover biases While people say between 10% and 30% is a good test size, it's very problem-dependent. Apply for our paid position here and write for data science blogs! Great ideas dont emerge on their own, isolated from all others. We use cookies to ensure that we give you the best experience on our website. Minimize disruption to your business with cost-effective backup and disaster recovery solutions. Data Science Central Weekly Digest, 28 Dec 2020 Welcome to the DSC Weekly Digest, a production of Data Science Central. Organizations use this information to improve how they make decisions, solve problems, and optimize operations. For SEO purposes: sometimes, we have to change a sentence or heading in order to acommodate the chosen keyword/keyphrase and get a better SEO rating. Data science is like driving in a new town: You might arrive at the destination, but explaining how you got there is another story. In many cases, something is expensive or losing money. As the world slowly emerges from the COVID-19 pandemic, contact tracing remains critical in preventing the spread of infectious diseases and managing potential outbreaks. Uncover latent insights from across all of your business data with AI. It is preferred that you link to .edu, .gov, or .org sites when applicable. The mechanics of publishing on Data Science Central are straightforward: If you are not already a member of DSC, set up an account on Data Science Central or one of its related accounts (we're working on single sign-on, but we're not quite there yet). We welcome code and data samples (especially as we migrate to a new platform) but ultimately your audience is going to likely be technically proficient but not necessarily deep experts. Read and write data with Pandas - Microsoft Fabric Build intelligent edge solutions with world-class developer tools, long-term support, and enterprise-grade security. For data science, you can learn everything you need from the internet, often much quicker than you would be able to in a classroom. Data scientists lead research projects to extract valuable information and actionable insights from big data. Meet environmental sustainability goals and accelerate conservation projects with IoT technologies. Data.gov is intended to provide access to government open data to the public, achieve agency missions, drive innovation, fuel economic activity, and uphold the ideals of an open and transparent government. Accelerate time to market, deliver innovative experiences, and improve security with Azure application and data modernization. What is Microsoft Fabric - Microsoft Fabric | Microsoft Learn Jessica Powers | Feb 09, 2023 REVIEWED BY Artem Oppermann Data scientists tackle questions about the future. He breaks down how strong communication skills are essential for senior leadership positions: Sonali Verghese shows you the steps to build a strong data narrative: Why is writing effective design docs popular in companies like Amazon and Google? It integrates with Azure Machine Learning to provide built-in experiment tracking and model registry. Data Science Central co-founder talks AI, data science trends In a Q&A, Vincent Granville, executive data scientist and co-founder of Data Science Central, discusses how AI has changed the data science field and the ways in which it will continue to do so. What are the requirements of the data science scenario, including the accuracy, training time, linearity, number of parameters, and number of features? Hosted by. Projects only grow as you work on them, and no matter how much time you allotted to the project, it will take longer (Hofstadters Rule). Use SQL to query data sources and gather the right set of data. Get advice on getting started with Azure AI. Introducing Microsoft Fabric: Data analytics for the era of AI Follow us on Twitter and LinkedIn to stay up to date on trending topics and events. If youre looking for great new reads to add to your roster, check out Vicky Boykis, Randy Au, or start from this list of ten foundational ML blog posts. and copy/pasting the content into the text box. In general, DSC editors prefer fewer (or no) links to outside references, especially if they are promotional in nature. Build machine learning models faster with Hugging Face on Azure. Sublime vs Atom vs PyCharm. Python Data Science Handbook by Jake VanderPlas. Articles - Data Science and Big Data - DataScienceCentral.com There are no arbitrary certificates needed, no ivory tower to climb, no examinations to pass, and no gatekeepers preventing you from learning and writing about anything in data science. I realized that it could leadRead More An Intriguing Job Interview Question for AI/ML Professionals, Machine learning has emerged as a powerful tool for organizations across industries to enhance their operational efficiency and make data-driven decisions. Copyright 2023 Open Data Science. There is no more effective method for learning than practice, especially putting all the pieces together in one problem. Do you want your ideas shared to thousands of members of the data science community? Connect devices, analyze data, and automate processes with secure, scalable, and open edge-to-cloud solutions. Moreover, if you arent confident about your writing style, start by emulating your favorite writers. Enhanced security and hybrid capabilities for your mission-critical Linux workloads. Somewhere in your work youre addressing a problem or problems. Within a notebook, users can quickly read data fromand write data back totheir Lakehouses in a variety of file formats. You can apply this to your writing and data science by practicing the skills you already have exploiting and frequently learning new ones exploring. As a rule of thumb write to a tenth-grade audience, not a post-doctoral one. This will typically be used with social media such as Twitter, Linked In or elsewhere to provide a picture that may make the article more attractive, which will increase the likelihood that YOUR article will get read. The series covers the full data science process and introduces Python, R, and several other open-source tools. Effectively communicating the results of their analyses to managers, executives, and other stakeholders is one of the most important parts of the job. Moreover, when you start adding explanations to your code, your future self and co-workers who look at your work will thank you. The data scientist builds and trains prescriptive or descriptive models, then tests and evaluates the model to make sure it answers the question or addresses the business problem. Our lawyers get unhappy when we have to speak with the other guys lawyers. Then youre probably in the right place. For example, as business interactions become more digital, more data is created, presenting new opportunities to derive insights into how to better personalize experiences, improve service and customer satisfaction, develop new and enhanced products, and increase sales. In general, we prefer articles that run between about 600 and 1800 words. Another mistake most data science writers make they put too much focus on writing, and less on getting the point across. This field combines multiple disciplines to extract knowledge from massive datasets for the purpose of making informed decisions and predictions. Books, magazines, and other publications are, Other media such as movies and TV shows go in double quotes.. The issue manifested mainly in the Pacific North West, sparking concern over the compounding psychological effects of dreary weather and low-sugar diets. While MOOCS havent fully democratized education in all subjects, they have been successful for data science. William Chon explains how we should communicate technical information to stakeholders and decision-makers: Susan Li shows how to combine strong narrative storylines with data visualizations when presenting analytical reports to your boss: Data scientists looking to managerial roles will find some actionable takeaways on how to get there from this article by Fernando Tadao Ito. Explore data science training resources and certifications. I stopped switching between IDEs (integrated development environments) a while ago and just settled on Jupyter + Sublime Text because I realized the extras were only getting in the way writing code. Optimize costs, operate confidently, and ship features faster by migrating your ASP.NET web apps to Azure. 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Data Science Fundamentals is a four-course series provided by Big Data University, which is an IBM initiative. Articles are ideally 700-1000 words, though they can be longer depending on the nature of the piece. Node.js and Python are the most popular technologies for backend development. Cloud-native network security for protecting your applications, network, and workloads. These arguments are all unproductive. You could perform Edit comment, Resolve thread, or Delete thread by selecting the More button besides your comment. The following posts look into the building blocks of strong analytical reports. 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