[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-data-science-the-10-commandments-for-performing-a-data-science-project":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":94,"popular_news":160,"categories":230},{"title":72,"description":73,"meta_title":72,"meta_description":73,"meta_keywords":74,"text":75,"slug":76,"created_at":77,"publish_at":78,"formatted_created_at":79,"category_id":18,"links":80,"view_type":84,"video_url":82,"views":85,"likes":86,"lang":87,"comments_count":86,"category":88},"Data Science: The 10 Commandments for Performing a Data Science Project","Machine learning has the ultimate goal of creating a model that is generalizable.","Data Science, Commandments for Performing a Data Science Project","\u003Cp>Hello!\u003C/p>\n\n\u003Cp>\u003Ca href=\"https://quasa.io/media/best-machine-learning-and-deep-learning-tools-that-will-help-to-learn-data-science\">\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-1/00bri-14.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"200\" src=\"https://cdn.quasa.io/photos/foto-1/00bri-14.jpeg\" width=\"300\" />\u003C/picture>Machine learning\u003C/a> has the ultimate goal of creating a model that is generalizable. It is important to select the most accurate model by comparing and choosing it correctly. You will need a different holdout than the one you used to train your hyperparameters. You will also need to use statistical tests that are appropriate to evaluate the results.\u003C/p>\n\n\u003Cp>These are the guiding principles that will guide you in your next \u003Ca href=\"https://quasa.io/media/top-data-science-certifications-for-data-science-professionals-in-2022\">data science project\u003C/a>. Let me know if you found them helpful or not. You can add your own commandments to the comments!\u003C/p>\n\n\u003Cp>It is crucial to understand the goals of the users or participants in a data science project. However, this does not guarantee success. \u003Ca href=\"https://quasa.io/media/the-difference-between-data-scientist-vs-machine-learning-scientist\">Data science\u003C/a> teams must adhere to best practices when executing a project in order to deliver on a clearly defined brief. These ten points can be used to help you understand what it means.\u003C/p>\n\n\u003Ch3>1. Understanding the Problem\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/tttttt-7.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"189\" src=\"https://cdn.quasa.io/photos/foto-16/tttttt-7.jpeg\" width=\"300\" />\u003C/picture>Knowing the problem you are trying to solve is the most important part of solving it. You must understand the problem you are trying to predict, all constraints, and the end goal of this project.\u003C/p>\n\n\u003Cp>Ask questions early and validate your understanding with domain experts, peers, and end-users. If the answers you receive align with your understanding, then you are on a right track.\u003C/p>\n\n\u003Ch3>2. Know Your Data\u003C/h3>\n\n\u003Cp>Knowing what your data means will help you understand which models are most effective and which features to use. The data problem will determine which model is most successful. Also, the computational time will impact the project’s cost.\u003C/p>\n\n\u003Cp>You can improve or mimic human decision-making by using and creating meaningful features. It is crucial to understand the meaning of each field, especially when it comes to regulated industries where data may be anonymized and not clear. If you’re unsure what something means, consult a domain expert.\u003C/p>\n\n\u003Ch3>3. Split your data\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-15/100-5.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" src=\"https://cdn.quasa.io/photos/foto-15/100-5.jpeg\" width=\"300\" />\u003C/picture>What will your model do with unseen data? If your model can’t adapt to new data, it doesn’t matter how good it does with the data it is given.\u003C/p>\n\n\u003Cp>You can validate its performance on unknown data by not letting the model see any of it while training. This is essential in order to choose the right model architecture and tuning parameters for the best performance.\u003C/p>\n\n\u003Cp>Splitting your data into multiple parts is necessary for supervised learning. The training data is the data the model uses to learn. It typically consists of 75-80% of the original data.\u003C/p>\n\n\u003Cp>This data was chosen randomly. The remaining data is called the testing data. This data is used to evaluate your model. You may need another set of data, called the validation set.\u003C/p>\n\n\u003Cp>This is used to compare different supervised learning models that were tuned using the test data, depending on what type of model you are creating.\u003C/p>\n\n\u003Cp>You will need to separate the non-training data into the validation and testing data sets. It is possible to compare different iterations of the same model with the test data, and the final versions using the validation data.\u003C/p>\n\n\u003Cp>Scikit-learn’s train_test_split function is the best way to correctly split data in \u003Ca href=\"https://quasa.io/media/top-10-python-books-are-for-mastering-the-skill\">Python\u003C/a>.\u003C/p>\n\n\u003Ch3>4. Don’t Leak Test Data\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/v-13.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/foto-16/v-13.jpeg\" width=\"298\" />\u003C/picture>It is important to not feed any test data into your model. This could be as simple as training on the entire data set, or as subtle as performing transformations (such as scaling) before splitting.\u003C/p>\n\n\u003Cp>If you normalize your data before splitting, the model will gain information about the test set, since the global minimum and maximum might be in the held-out data.\u003C/p>\n\n\u003Ch3>5. Use the Right Evaluation Metrics\u003C/h3>\n\n\u003Cp>Every problem is unique so the evaluation method must be based on that context. Accuracy is the most dangerous and naive classification method. Take the example of cancer detection.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/v-7.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"183\" src=\"https://cdn.quasa.io/photos/foto-16/v-7.jpeg\" width=\"275\" />\u003C/picture>We should always say “not cancer” if we want to build a reliable model. This will ensure that we are correct 99 percent of the time.\u003C/p>\n\n\u003Cp>This isn’t the best model, since we want to detect it. Be careful when deciding which evaluation metric you will use for your regression and classification problems.\u003C/p>\n\n\u003Ch3>6. Keep it simple\u003C/h3>\n\n\u003Cp>It is important to select the best solution for your problem and not the most complex. Management, customers, and even you might want to use the “latest-and-greatest.” You need to use the simplest model that meets your needs, a principle called Occam’s Razor.\u003C/p>\n\n\u003Cp>This will not only make it easier to see and reduce training time but can also improve performance. You shouldn’t try to kill Godzilla or shoot a fly with your bazooka.\u003C/p>\n\n\u003Ch3>7. Do not overfit or underfit your model\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/v-8.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"166\" src=\"https://cdn.quasa.io/photos/foto-16/v-8.jpeg\" width=\"300\" />\u003C/picture>Overfitting, also called variance, can lead to poor performance when the model doesn’t see certain data. The model simply remembers the training data.\u003C/p>\n\n\u003Cp>Bias, also known as underfitting, is when the model has too few details to be able to accurately represent the problem. These two are often referred to as “bias-variance trading-off”, and each problem requires a different balance.\u003C/p>\n\n\u003Cp>Let’s use a simple image classification tool as an example. It is responsible for identifying whether a dog is present in an image.\u003C/p>\n\n\u003Cp>This model won’t recognize an image that it is a dog if it hasn’t seen it before. It might not recognize an image of a dog if you overfit it, even though it may have seen it before.\u003C/p>\n\n\u003Ch3>8. Try Different Model Architectures\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/v-9.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"183\" src=\"https://cdn.quasa.io/photos/foto-16/v-9.jpeg\" width=\"275\" />\u003C/picture>It is often beneficial to look at different models for a particular problem. One model architecture may not work well for another.\u003C/p>\n\n\u003Cp>You can mix simple and complex algorithms. If you are creating a classification model, for example, try as simple as random forests and as complex as neural networks.\u003C/p>\n\n\u003Cp>Interestingly, extreme gradient boosting is often superior to a neural network classifier. Simple problems are often easier to solve with simple models.\u003C/p>\n\n\u003Ch3>9. Tune Your Hyperparameters\u003C/h3>\n\n\u003Cp>These are the values that are used in the model’s calculation. One example of a hyperparameter in a decision tree would be depth.\u003C/p>\n\n\u003Cp>This is how many questions the tree will ask before it decides on an answer. The default parameters for a model’s hyperparameters are those that give the highest performance on average.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-16/v-1.webp\" type=\"image/webp\">\u003Cimg alt=\"Data Science: The 10 Commandments for Performing a Data Science Project\" class=\"image-align-left\" height=\"164\" src=\"https://cdn.quasa.io/photos/foto-16/v-1.jpeg\" width=\"300\" />\u003C/picture>It is unlikely that your model will be able to achieve this sweet spot. However, it is possible for your model to perform better if you select different parameters. There are many advanced methods to tune hyperparameters, including grid search, Bayesian-optimized, and randomized search.\u003C/p>\n\n\u003Ch3>10. Comparing Models Correctly\u003C/h3>\n\n\u003Cp>\u003Ca href=\"https://quasa.io/media/why-is-machine-learning-important\">Machine learning\u003C/a> has the ultimate goal of creating a model that is generalizable. It is important to select the most accurate model by comparing and choosing it correctly.\u003C/p>\n\n\u003Cp>You will need a different holdout than the one you used to train your hyperparameters. You will also need to use statistical tests that are appropriate to evaluate the results.\u003C/p>\n\n\u003Cp>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/scientists-suggest-tiny-black-holes-are-regularly-cruising-through-our-star-system\">Scientists Suggest Tiny Black Holes Are Regularly Cruising Through Our Star System\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/biotech-penile-implants-let-pigs-get-erections-again\">Biotech Penile Implants Let Pigs Get Erections Again\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/small-robots-big-impact-surprising-ways-automation-helps-us\">Small Robots, Big Impact: Surprising Ways Automation Helps Us\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>Thank you!\u003Cbr />\nJoin us on social networks!\u003Cbr />\nSee you!\u003C/p>","data-science-the-10-commandments-for-performing-a-data-science-project","2022-11-02T17:24:00.000000Z","2022-11-03T06:30:00.000000Z","03.11.2022",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":83},"https://cdn.quasa.io/images/news/I09fs97MqqQEuRL3E170FjPBTqI6ubQ8WVntZoMc.webp",null,"https://cdn.quasa.io/thumbs/news-thumb/images/news/I09fs97MqqQEuRL3E170FjPBTqI6ubQ8WVntZoMc.webp","large",2205,0,"en",{"id":18,"title":19,"slug":20,"meta_title":89,"meta_description":90,"meta_keywords":91,"deleted_at":82,"created_at":92,"updated_at":93,"lang":87},"Quasa Media's blog about Growth Hacking in action","Exclusive life hacks on how to choose a career and be productive in any job.","Freelance, business, startup, Survive As a Freelance Developer","2021-09-03T20:21:41.000000Z","2024-08-25T15:40:14.000000Z",[95,110,122,134,147],{"title":96,"description":97,"slug":98,"created_at":99,"publish_at":99,"formatted_created_at":100,"category":101,"links":102,"view_type":107,"video_url":82,"views":108,"likes":86,"lang":87,"comments_count":86,"is_pinned":109},"Cloudflare Just Made Email a First-Class Citizen for AI Agents — And Traditional Email Services Are Feeling It","On April 17, 2026, Cloudflare quietly turned a long-standing dream into reality: it moved Email Service into public beta and added full Email Sending alongside the years-old Email Routing.","cloudflare-just-made-email-a-first-class-citizen-for-ai-agents-and-traditional-email-services-are-feeling-it","2026-04-19T18:41:05.000000Z","19.04.2026",{"title":43,"slug":44},{"image":103,"image_webp":104,"thumb":105,"thumb_webp":106},"https://cdn.quasa.io/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.jpg","https://cdn.quasa.io/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/BL8rqDdPh380Xfk5TP00aXBFWdOVXI5BUQ1TuSaC.webp","small",36,false,{"title":111,"description":112,"slug":113,"created_at":114,"publish_at":114,"formatted_created_at":100,"category":115,"links":116,"view_type":107,"video_url":82,"views":121,"likes":86,"lang":87,"comments_count":86,"is_pinned":109},"Mozilla Nails It: Thunderbolt Brings “ChatGPT at Home” to the Enterprise — Without Vendor Lock-In","While OpenAI and Anthropic race to sell their proprietary AI platforms to big corporations, Mozilla’s subsidiary MZLA Technologies has taken a very different route.","mozilla-nails-it-thunderbolt-brings-chatgpt-at-home-to-the-enterprise-without-vendor-lock-in","2026-04-19T15:37:27.000000Z",{"title":58,"slug":63},{"image":117,"image_webp":118,"thumb":119,"thumb_webp":120},"https://cdn.quasa.io/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.jpg","https://cdn.quasa.io/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/qaAODXSpJy6qpJc0eO9DQ2Y6ccJR1tlL5i3mN0kV.webp",52,{"title":123,"description":124,"slug":125,"created_at":126,"publish_at":126,"formatted_created_at":100,"category":127,"links":128,"view_type":107,"video_url":82,"views":133,"likes":86,"lang":87,"comments_count":86,"is_pinned":109},"X Is Finally Cracking Down on Unlabeled Ads — And It’s Personal","For years, X (formerly Twitter) has been a playground for undisclosed promotions, coordinated spam networks, and “native” advertising that masquerades as organic content.","x-is-finally-cracking-down-on-unlabeled-ads-and-it-s-personal","2026-04-19T15:07:48.000000Z",{"title":65,"slug":66},{"image":129,"image_webp":130,"thumb":131,"thumb_webp":132},"https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp",54,{"title":135,"description":136,"slug":137,"created_at":138,"publish_at":139,"formatted_created_at":100,"category":140,"links":141,"view_type":107,"video_url":82,"views":146,"likes":86,"lang":87,"comments_count":86,"is_pinned":109},"Bitcoin Developers Propose BIP-361: Quantum-Proof Migration That Would Freeze Millions of Legacy Coins","In a move that could reshape the security of Bitcoin’s unspent transaction outputs forever, Bitcoin developers have introduced BIP-361 — officially titled “Post Quantum Migration and Legacy Signature Sunset.”","bitcoin-developers-propose-bip-361-quantum-proof-migration-that-would-freeze-millions-of-legacy-coins","2026-04-17T11:38:06.000000Z","2026-04-19T11:29:00.000000Z",{"title":43,"slug":44},{"image":142,"image_webp":143,"thumb":144,"thumb_webp":145},"https://cdn.quasa.io/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.jpg","https://cdn.quasa.io/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/XW07GuAbFLRaVskP2iUsv0witLmM4GwiSlwMPZpp.webp",74,{"title":148,"description":149,"slug":150,"created_at":151,"publish_at":152,"formatted_created_at":100,"category":153,"links":154,"view_type":107,"video_url":82,"views":159,"likes":86,"lang":87,"comments_count":86,"is_pinned":109},"Thomas Peterffy’s Bold Vision for Prediction Markets: Why Interactive Brokers Is Betting Big on “Useful” Bets","In a wide-ranging conversation on Bloomberg’s Odd Lots podcast, Thomas Peterffy — founder, chairman, and CEO of Interactive Brokers (IBKR) — sat down to discuss one of the most intriguing projects in his company’s 50-year history: IBKR ForecastTrader, the brokerage giant’s freshly launched prediction market 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Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":170,"image_webp":82,"thumb":171,"thumb_webp":171},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",70850,2,{"title":175,"description":176,"slug":177,"created_at":178,"publish_at":179,"formatted_created_at":180,"category":181,"links":182,"view_type":84,"video_url":82,"views":187,"likes":188,"lang":87,"comments_count":86,"is_pinned":109},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":183,"image_webp":184,"thumb":185,"thumb_webp":186},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp",70615,4,{"title":190,"description":191,"slug":192,"created_at":193,"publish_at":194,"formatted_created_at":195,"category":196,"links":197,"view_type":107,"video_url":82,"views":200,"likes":188,"lang":87,"comments_count":86,"is_pinned":109},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":198,"image_webp":82,"thumb":199,"thumb_webp":199},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68246,{"title":202,"description":203,"slug":204,"created_at":205,"publish_at":206,"formatted_created_at":207,"category":208,"links":209,"view_type":107,"video_url":82,"views":214,"likes":173,"lang":87,"comments_count":215,"is_pinned":109},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":210,"image_webp":211,"thumb":212,"thumb_webp":213},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",42221,1,{"title":217,"description":218,"slug":219,"created_at":220,"publish_at":221,"formatted_created_at":222,"category":223,"links":224,"view_type":84,"video_url":82,"views":229,"likes":173,"lang":87,"comments_count":86,"is_pinned":109},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":225,"image_webp":226,"thumb":227,"thumb_webp":228},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41316,[231,232,233,234,235,236,237,238,239,240,241,242,243],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]