{"id":12058,"date":"2022-02-07T17:29:16","date_gmt":"2022-02-07T16:29:16","guid":{"rendered":"https:\/\/careerfoundry.inbearbeitung.de\/en\/?p=12058"},"modified":"2022-02-07T17:29:16","modified_gmt":"2022-02-07T16:29:16","slug":"data-analytics-blogs","status":"publish","type":"post","link":"https:\/\/careerfoundry.inbearbeitung.de\/en\/blog\/data-analytics\/data-analytics-blogs\/","title":{"rendered":"12 Must-Read Data Analytics Blogs"},"content":{"rendered":"

Just discovered data analytics<\/span> and want to learn more? Perhaps you\u2019re <\/span>considering a career in the field<\/span><\/a>? Or maybe you\u2019re a seasoned data analyst looking for specialized topics? Wherever you\u2019re at on your data analytics journey, you\u2019ll find an abundance of great data analytics blogs to help you. These include beginner\u2019s guides, student support, and career development for those looking to expand their expertise.<\/span><\/p>\n

However, with so many data analytics blogs available, it\u2019s all too easy to spend more time searching for the right one than actually reading about the topics that interest you. To save you from the quagmire of Google\u2019s search results, we\u2019ve compiled our personalized list of top data analytics blogs that we think you can\u2019t do without. We\u2019ll cover:<\/span><\/p>\n

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  1. Best blogs for data analysts: total beginners<\/span><\/a><\/li>\n
  2. Best blogs for data analysts: data analytics students<\/span><\/a><\/li>\n
  3. Best blogs for data analysts: best practices for the field<\/span><\/a><\/li>\n
  4. Best blogs for data analysts: specialized topics<\/span><\/a><\/li>\n<\/ol>\n

    Ready to explore the best blogs for data analysts? Let\u2019s jump right in.<\/span><\/p>\n

    1. Best blogs for data analysts: total beginners<\/span><\/h2>\n

    KDNuggets<\/span><\/h3>\n

    Created by data scientist and founder of <\/span>KDD conferences<\/span><\/a> (Knowledge Discovery and Data Mining), Gregory Piatetsky-Shapiro, <\/span>KDNuggets<\/span><\/a> is one of the leading data science blogs. Perfectly pitched at beginners, it covers everything from AI to machine learning and other data-related topics. Standing for \u2018Knowledge Discovery\u2019, KDNuggets also dives deep on <\/span>industry meetings, upcoming events<\/span><\/a> and <\/span>data analytics software reviews<\/span><\/a>.<\/span><\/p>\n

    While the UX design of KDNuggets leaves a little to be desired, its breadth of content more than makes up for this. It boasts <\/span>tutorials<\/span><\/a>, <\/span>opinion pieces<\/span><\/a>, and if you want to go beyond learning (and straight into doing) it recommends high-quality <\/span>datasets<\/span><\/a> that you can dabble with. If you prefer content popping up on your socials rather than trawling the blog itself, follow KDNuggets on LinkedIn, Facebook, or <\/span>Twitter<\/span><\/a>, where you\u2019ll get regular updates straight to your newsfeed.<\/span><\/p>\n

    Towards Data Science<\/span><\/h3>\n

    With over 600,000 subscribers, <\/span>Towards Data Science<\/span><\/a> is a Medium blog that publishes a range of data analytics concepts, ideas, and code. What\u2019s great about this blog is its breadth of authors and independent data bloggers, who are mostly all professionals working in the field. This keeps it diverse, relevant, and up to date. The bloggers all use a friendly, accessible language, making this ideal for beginners who want to learn about topics ranging from <\/span>machine learning<\/span><\/a> to <\/span>data visualization<\/span><\/a>, as well as practical guides to <\/span>Python<\/span><\/a> and other <\/span>programming tips<\/span><\/a>.<\/span><\/p>\n

    If you\u2019re not sure where to start, we recommend checking out Towards Data Science\u2019s <\/span>Editors\u2019 Picks<\/span><\/a>. This curates some diverse subjects, such as what you can learn about data from playing the viral hit <\/span>Wordle<\/span><\/a>. As one Reddit user writes, \u201cThis is less of a blog to follow and more of a mandatory landing page in your browser tab.\u201d\u00a0<\/span><\/p>\n

    We couldn\u2019t agree more!<\/span><\/p>\n

    CareerFoundry data analytics blog<\/span><\/h3>\n

    The <\/span>CareerFoundry data analytics blog<\/span><\/a> is specifically aimed at those with limited experience of data analytics, but who may be considering a career in the field. You\u2019ll find everything from <\/span>beginner guides to data analytics<\/span><\/a>, to how it\u2019s used in <\/span>different industries<\/span><\/a>, as well as introductory explainers like how to apply <\/span>different MS Excel functions<\/span><\/a>.<\/span><\/p>\n

    You\u2019ll also discover posts covering the latest on the data analytics job market, including <\/span>interview tips<\/span><\/a>, <\/span>salary guides<\/span><\/a>, <\/span>data analytics portfolio examples<\/span><\/a>, and topics exploring the difference between <\/span>different data analytics roles<\/span><\/a>. The CareerFoundry data analytics blog always uses inclusive, straightforward language, making it a great resource for those who are dipping their toe into the topic for the first time.<\/span><\/p>\n

    2. Best blogs for data analysts: data analytics students<\/span><\/h2>\n

    Full Stack Python blog<\/span><\/h3>\n

    A fundamental tool for data analysts\u2014whether beginner or expert\u2014is the Python programming language. While Python is meant to be easy to pick up, many of the resources for learning it are vastly overcomplicated, and aren\u2019t written using very accessible language. The <\/span>Full Stack Python blog<\/span><\/a> is not one of these. This excellent blog covers Python\u2019s many applications in fields from web development to app deployment and, naturally, data analytics.\u00a0<\/span><\/p>\n

    Written by various contributors, the blog underscores concepts in simple, non-technical language, offering links to the best tutorials for given topics. The data analytics section covers everything from the basics of <\/span>relational databases<\/span><\/a> to <\/span>Python data types<\/span><\/a>. And where possible, it uses real-world examples to help illuminate the concepts. For an example, see this post which <\/span>explores how to learn the Python package, pandas, using Covid-19 data<\/span><\/a>.\u00a0<\/span><\/p>\n

    Kaggle Winner\u2019s Blog<\/span><\/h3>\n

    Machine learning and data science community, <\/span>Kaggle<\/span><\/a>, is an excellent data analytics resource in its own right. It offers free support, free datasets, and code to all its members. It\u2019s also known for running regular competitions, where data analysts compete against one another to win data- and coding-related challenges. This alone makes it a useful sandpit for data analytics students to test their skills.<\/span><\/p>\n

    In addition, though, is <\/span>Kaggle Winner\u2019s Blog<\/span><\/a>, where you can read interviews with past Kaggle challenge winners, discovering what they\u2019ve learned, what their backgrounds are, what approach they took to winning the challenge, and where you can get your hands on their code! It\u2019s a great way to learn about applied data analytics, and is a prime first step for understanding how to use your newfound skills once you enter the job market.<\/span><\/p>\n

    Cross Validated by Stack Exchange<\/span><\/h3>\n

    Well-written data analytics blogs can be helpful, but what happens when you have specific questions that need answering? Given the complexity of the field, this is a common issue for many data analytics students. Enter <\/span>Cross Validated by Stack Exchange<\/span><\/a>. As much of a community hub as anything else, Cross Validated gives you the option to see real data analytics queries answered by experts, in more or less real-time.\u00a0<\/span><\/p>\n

    For instance, <\/span>how do you deal with perfect separation in logistics regression<\/span><\/a>? And <\/span>why is accuracy not the best measure for assessing classification models<\/span><\/a>? Helpfully, the most commonly asked questions rank more highly. You can also sort articles by topic, which makes it much easier to find the answer you\u2019re looking for. If necessary, you can also <\/span>ask your own questions<\/span><\/a>, comfortable in the knowledge that the community offers pretty swift replies.\u00a0<\/span><\/p>\n

    3. Best blogs for data analysts: best practices for the field<\/span><\/h2>\n

    Data Science Central<\/span><\/h3>\n

    If you\u2019re a professional data scientist working in the field, you\u2019ll no doubt want to stay abreast of the latest developments. Enter <\/span>Data Science Central<\/span><\/a>, which everything professional data practitioners could need. The best thing about this data analytics blog is the granularity of the content. Drill down by <\/span>industry news and data trends<\/span><\/a>, by <\/span>programming language<\/span><\/a>, or by <\/span>technical topics<\/span><\/a>, covering everything from linguistics to data security.<\/span><\/p>\n

    Perhaps most helpful for data professionals, though, is that the blog breaks down articles by <\/span>sector type<\/span><\/a>, meaning you can stay up to date on data analytics news within your industry. Want to learn about <\/span>financial services<\/span><\/a>, <\/span>manufacturing<\/span><\/a>, or <\/span>healthcare<\/span><\/a>? You\u2019ll be spoiled for choice. And if you\u2019re not in the mood to read, Data Science Central also has a great selection of <\/span>podcasts, videos, and webinars<\/span><\/a> that you can listen to, watch or sign up for.<\/span><\/p>\n

    Forrester Big Data Blog<\/span><\/h3>\n

    Research and advisory firm, Forrester, is known for having its finger on the pulse when it comes to professional practice\u2014and that includes data. Unlike some providers, the firm\u2019s big data blog doesn\u2019t try to cover all bases, instead focusing specifically on big data in the context of operations and business management. Perfect if you\u2019re climbing the career ladder and want fresh insights into companies\u2019 approaches to data strategy.<\/span><\/p>\n

    The <\/span>Forrester Big Data blog<\/span><\/a> includes data-related topics ranging from <\/span>industry event summaries<\/span><\/a> to <\/span>pressing IT issues<\/span><\/a> and <\/span>useful questions to ask your BI platform provider<\/span><\/a>. Although it doesn\u2019t offer the more generic content you might expect from other blogs, it offers a range of voices and points of view, and you\u2019ll find topical content in all its professional contexts.<\/span><\/p>\n

    Statistical Thinking<\/span><\/h3>\n

    One sector that has embraced data analytics like almost no other is healthcare. Enter <\/span>Statistical Thinking<\/span><\/a>, a blog devoted to data analytics\u2019 impact on the sciences. Run by Frank Harrell, Professor of Biostatistics at Vanderbilt University\u2019s School of Medicine, the blog focuses on the theoretical and critical thinking behind data analytics. It addresses topics such as how to maximize the use of information, how to avoid common statistical pitfalls, and explores issues related to statistical approaches; all within the biomedical sciences.<\/span><\/p>\n

    We\u2019ll be honest, this blog isn\u2019t the lightest read, but it\u2019s definitely worth checking out if you\u2019re fascinated by healthcare analytics. Using many real-world examples, you\u2019ll learn about the applications of data analytics in <\/span>clinical trials<\/span><\/a> to <\/span>improving drug research<\/span><\/a> and medical diagnosis, all straight from the mouths of the scientists who have done the work.<\/span><\/p>\n

     <\/p>\n

    4. Best blogs for data analysts: specialized topics<\/span><\/h2>\n

    Statistics: Simply Statistics<\/span><\/h3>\n

    Run by three biostatistics professors (Jeff Leek, Roger Peng, and Rafael Irizarry), <\/span>Simply Statistics<\/span><\/a> covers everything you need to know (and everything you didn\u2019t know you needed to know!) about applied statistical techniques. It looks at things like the <\/span>role of theory in data analytics<\/span><\/a>, as well as other hands-on topics. To provide insight into the role of statistics in the real world, the blog also includes a series of compelling interviews with data scientists, such as this one with biostatistician <\/span>Stephanie Hicks<\/span><\/a>.<\/span><\/p>\n

    And it\u2019s popular\u2014Simply Statistics has a whopping <\/span>65,000 followers on Twitter<\/span><\/a>. Two of the blog\u2019s authors, Jeff Lee and Roger Peng, also produce a regular <\/span>podcast<\/span><\/a>, very much reflecting the blog\u2019s relatable tone and direct approach to complex topics. While the blog itself isn\u2019t always super technical (which is arguably not a bad thing), should you need to follow up with explanations of statistical methods, we can recommend the <\/span>Statistics How To<\/span><\/a> website.\u00a0<\/span><\/p>\n

    Data visualization: datavis.blog<\/span><\/h3>\n

    We love a bit of beautiful data, and <\/span>datavis.blog<\/span><\/a> does not disappoint. This blog instructs you exactly how<\/span> to create data visualizations from scratch using the visualization software, <\/span>Tableau<\/span><\/a>. Run by Mark Reid, a certified Tableau professional and former ambassador to the brand, it covers the wide range of functionality that the software offers, with foolproof step-by-step guides complete with helpful screenshots to direct you through the process.<\/span><\/p>\n

    From \u2018flashy\u2019 visualizations such as how to <\/span>create animated transitions<\/span><\/a> to more prosaic (but still surprisingly delightful) applications such as <\/span>visualizing floor plan data<\/span><\/a>, the blog is a great introduction to Tableau. And yes, while there are other data viz tools available, Tableau is arguably one of the most popular, making this blog a must-read. Mark has also done some fascinating talks on this topic if that\u2019s more your thing. You can find a list of them <\/span>here<\/span><\/a>.<\/span><\/p>\n

    Artificial Intelligence: DeepMind Blog<\/span><\/h3>\n

    Last, but not least\u2026 if, like us, you\u2019re fascinated by artificial intelligence (AI), there are few better resources than the <\/span>DeepMind blog<\/span><\/a>, from Alphabet\u2019s artificial intelligence arm. The blog explores the latest research and developments, from leaps forward in so-called \u2018<\/span>nowcasting\u2019<\/span><\/a> (the ability to forecast weather in the immediate term) to how DeepMind is using AI to predict<\/span> gene expression<\/span><\/a>.<\/span><\/p>\n

    The blog keeps explanations as straightforward as possible, going into the technical detail of their research just enough to satisfy your curiosity. However, it offers a tantalizing insight into what the future holds. And while the DeepMind blog mostly inspires, if you\u2019re looking to develop the underlying skills, we can also recommend checking out <\/span>Machine Learning Mastery<\/span><\/a>, a blog that aims to help developers grasp the practicalities of ML techniques.<\/span><\/p>\n

    Next steps<\/span><\/h2>\n

    There we have it, our handpicked top 12 best data analytics blogs! While there are many more fantastic blogs and other free resources available, we all have to start somewhere. We highly recommend using these as your jumping-off point, before digging a bit deeper. What other great blogs can you find?<\/span><\/p>\n

    Whether you\u2019re just starting out in data analytics, have been in the field for a while, or just want to expand your skills, blogs are a quick, free and simple way of building your knowledge base and staying up to date with the latest trends.<\/span><\/p>\n

    To learn more about data analytics, sign up for this <\/span>free, 5-day data analytics short course<\/a><\/strong> or check out the following:<\/span><\/p>\n