Анализ страницы https://www.datascienceweekly.org/articles
Основное Готовность: 100%
Домен
datascienceweekly.org
Состояние доменного имени
?
Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Длина домена велика. Но если вы продвигаете запрос, входящий в название домена, то это хорошо.
Домен второго уровня идеален для продвижения.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
?
Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Сервер настроен корректно.
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
?
HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
Не настроен HSTS (Strict-Transport-Security) — рекомендуется включить.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 04.10.2026 22:45:22.
Сервер поддерживает HTTP/3 (QUIC) — новейший протокол.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
utf-8
Кодировка символов страницы
?
Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице utf-8.
Язык
en
Атрибут lang в HTML-теге
?
Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: en.
Скорость загрузки
~0,36сек
Время отклика сервера (TTFB)
?
Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 0,36сек оптимальна.
Объем документа
46Кб
Размер HTML-кода страницы
?
Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 46Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 4
Внешние ресурсы страницы (CSS, JS, изображения)
?
Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 4 достаточно.
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | text/css | https://cdn.prod.website-files.com/605e2887f4bec17879aef4fc/css/datascienceweekly.webflow.a9abcc3ff.min.css |
| js | https://www.googletagmanager.com/gtag/js?id=G-TZN2FFP9S1 | |
| js | text/javascript | https://d3e54v103j8qbb.cloudfront.net/js/jquery-3.5.1.min.dc5e7f18c8.js?site=605e2887f4bec17879aef4fc |
| js | text/javascript | https://cdn.prod.website-files.com/605e2887f4bec17879aef4fc/js/webflow.24a563ff7.js |
Серверные заголовки
Кол-во: 14
HTTP-заголовки ответа сервера
?
Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 14шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Date | Sun, 23 Aug 2026 12:07:24 GMT |
| Set-Cookie | _cfuvid=6fsuH_aGrdKiUxrBOSSCLM.mB5Gp4eGPxM5BqXNQU_k-1787486844.944334-1.0.1.1-zComLxn_ipYzmlzSo_K354puYmJH8xSYIyTAYWCcDYI; HttpOnly; SameSite=None; Secure; Path=/; Domain=www.datascienceweekly.org |
| cf-ray | a2f9ff2ceca75662-DUB |
| cf-cache-status | HIT |
| Age | 111938 |
| Server | cloudflare |
| Vary | accept-encoding |
| Content-Security-Policy | frame-ancestors 'self' |
| surrogate-control | max-age=432000 |
| surrogate-key | www.datascienceweekly.org 605e2887f4bec17879aef4fc pageId:620ab2e4e80feee05fa50f49 620ab341b639d263bf4ccb5b 612e3d430b80151ab4190c21 |
| X-Frame-Options | SAMEORIGIN |
| x-lambda-id | 9063fa5a-a72f-46cb-96e8-c3ff1b8c90a5 |
| x-wf-region | us-east-1 |
| Alt-Svc | h3=":443" |
CMS
Webflow
Система управления сайтом (движок)
?
CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
Сайт работает на CMS Webflow.
Веб-сервер
Cloudflare
Программное обеспечение сервера
?
Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
Сайт работает на веб-сервере Cloudflare.
Мета-теги Готовность: 48%
Title
Data Science Articles Archive
Заголовок страницы в браузере и поисковой выдаче
?
Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо увеличить число символов в title (текущее значение: 29, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
Data Science Articles archives featuring curated news, articles, tools, projects, and jobs
Описание страницы в поисковой выдаче (сниппет)
?
Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Необходимо увеличить число символов в description (текущее значение: 90, оптимально: от 120 до 130)
Keywords
Список ключевых слов страницы (устаревший тег)
?
Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
https://www.datascienceweekly.org/articles
Указывает поисковику основную версию страницы
?
Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Канонический Url прописан корректно.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
?
Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
width=device-width, initial-scale=1
Настройка масштабирования на мобильных устройствах
?
Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Разметка OpenGraph
Кол-во: 3
Мета-теги для красивых превью в соцсетях
?
OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph задана. Страница оптимизирована под социальные сети.
Показать полный список og мета-тегов
| Тип | Значение |
|---|---|
| og:title | Data Science Articles Archive |
| og:description | Data Science Articles archives featuring curated news, articles, tools, projects, and jobs |
| og:type | website |
Все мета-теги
Кол-во: 8
Полный список мета-тегов страницы
?
Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 8шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | description | Data Science Articles archives featuring curated news, articles, tools, projects, and jobs |
| name | twitter:title | Data Science Articles Archive |
| name | twitter:description | Data Science Articles archives featuring curated news, articles, tools, projects, and jobs |
| name | twitter:card | summary_large_image |
| name | viewport | width=device-width, initial-scale=1 |
| property | og:title | Data Science Articles Archive |
| property | og:description | Data Science Articles archives featuring curated news, articles, tools, projects, and jobs |
| property | og:type | website |
Оптимизация Готовность: 82%
Структура
Ошибок нет
Семантические HTML-элементы страницы
?
Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют в одном экземпляре).
Контент
Ошибок нет
Объём и качество текстового содержимого
?
Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 3 встречаются в тексте достаточно.
Абзацев с текстом 70 достаточно.
Среднее число слов в абзаце 44 достаточно.
Кол-во знаков контента 22531 на странице оптимально.
Кол-во слов 3993 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
?
H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 1. Это прекрасно.
На странице присутствуют заголовки <h2> 4. Это хорошо.
На странице присутствуют заголовки <h3> 68.
Тошнота
10,68
Насколько одно слово доминирует в тексте
?
Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 5. Измените текст страницы!
Академич. тошнота
20,29%
Насколько текст перенасыщен ключевыми словами
?
Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота превышает норму 5-15%. Измените текст страницы!
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
?
Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| science | 114 | 2,85% |
| scientist | 26 | 0,65% |
| resume | 23 | 0,58% |
| project | 15 | 0,38% |
| should | 14 | 0,35% |
| looking | 13 | 0,33% |
| portfolio | 13 | 0,33% |
| scientists | 12 | 0,30% |
| projects | 12 | 0,30% |
| articles | 9 | 0,23% |
| people | 9 | 0,23% |
| background | 9 | 0,23% |
| experience | 9 | 0,23% |
| working | 9 | 0,23% |
| hiring | 9 | 0,23% |
| interview | 9 | 0,23% |
| skills | 8 | 0,20% |
| resume? | 8 | 0,20% |
| you’re | 8 | 0,20% |
| tutorials | 8 | 0,20% |
Индексация Готовность: 100%
Индексирование
Ошибок нет
Разрешено ли индексирование страницы
?
Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 94 оптимально. Поисковые роботы обязательно проиндексируют сайт.
Robots.txt
Найден корректный robots.txt
Файл управления сканированием сайта роботами
?
Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Robots.txt настроен корректно. Размер файла: 79 байт. Загружен за: 0сек.
Проверяемая страница не запрещена в robots.txt.
Robots.txt доступен по постоянному адресу
Показать содержимое robots.txt
User-agent: *
Allow: /
Sitemap: https://www.datascienceweekly.org/sitemap.xml
Sitemap
Кол-во: 1
XML-карта сайта для поисковиков
?
Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt содержит карту сайта. Это прекрасно!
Robots.txt не содержит ошибок в карте сайта.
Показать карту сайта
| Url | Статус |
|---|---|
| https://www.datascienceweekly.org/sitemap.xml |
|
Внутренние ссылки
Кол-во: 88
Ссылки на другие страницы своего сайта
?
Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
Внутренних ссылок на странице 88 оптимально.
Внутренние ссылки не запрещены к индексации в robots.txt.
Показать внутренние ссылки
| Url | Анкор | Состояние |
|---|---|---|
| / |
Data Science Weekly
|
|
| /newsletters |
Archives
|
|
| /newsletter/data-science-weekly-newsletter-issue-484 |
Latest Issue
|
|
| / |
Subscribe
|
|
| /articles/most-popular-data-science-articles-of-2017 |
<h3 class="heading-5">Most Read Data Science Articles of 2017</h3><div class="div-block-10"><p class="paragraph-4">As the year end approaches we decided to dig through the 2017 archives to figure out what were the most read articles of the year. It is an interesting mix - deep-dives into what’s going on in Data Sci ...
</p></div>
|
|
| /articles/get-up-to-speed-fast-as-a-junior-data-scientist |
<h3 class="heading-5">Get Up To Speed Fast As A Junior Data Scientist</h3><div class="div-block-10"><p class="paragraph-4">You are a new junior data scientist and you want to get started the right way. You want to make sure you don't make the same mistakes others have made early in their data scientist careers b ...
</p></div>
|
|
| /articles/self-study-plan-for-moving-from-a-junior-data-scientist-to-a-senior-data-scientist |
<h3 class="heading-5">Self-Study Plan For Moving From A Junior Data Scientist To A Senior Data Scientist</h3><div class="div-block-10"><p class="paragraph-4">You are familiar with the basics of data science and now you want to level up. You're familiar with applying off-the-shelf ML algorithms and have gotten your feet wet with data wrangling and ...
</p></div>
|
|
| /articles/from-small-beginnings |
<h3 class="heading-5">From Small Beginnings</h3><div class="div-block-10"><p class="paragraph-4">Hello Friends! We are starting this blog to shed light on how people are using Data and Data Science to change the world. Please get in touch if you would like to share your story! To get us ...
</p></div>
|
|
| /articles/how-to-get-a-data-scientist-job-with-a-masters-in-marketing-degree-education-versus-knowledge |
<h3 class="heading-5">How To Get A Data Scientist Job With A Masters In Marketing Degree - Education Versus Knowledge</h3><div class="div-block-10"><p class="paragraph-4">We continue answering questions for the nontraditional data science job candidate who recently asked us about how to become a data scientist when their educational background was in marketing and soc ...
</p></div>
|
|
| /articles/the-difference-between-junior-mid-level-and-senior-data-scientist-jobs |
<h3 class="heading-5">The Difference Between Junior, Mid-Level, And Senior Data Scientist Jobs</h3><div class="div-block-10"><p class="paragraph-4">When looking for a data science job, you will have to chose what job seniority to apply to. There are junior data science jobs, there are mid-level data science jobs, and there are senior data scienc ...
</p></div>
|
|
| /articles/what-to-do-when-you-have-data-experience-but-lack-job-specific-technical-skills |
<h3 class="heading-5">What To Do When You Have Data Experience But Lack Job Specific Technical Skills</h3><div class="div-block-10"><p class="paragraph-4">You have experience working with data but when you read job postings they all seem to want things you've never used or barely even heard of. You've manipulated, organized, and mined various ...
</p></div>
|
|
| /articles/what-is-the-purpose-of-a-data-science-resume |
<h3 class="heading-5">What is the Purpose of a Data Science Resume?</h3><div class="div-block-10"><p class="paragraph-4">Your resume is a specific marketing communication Before we launch into advice on how to craft a stand-out resume, it is important to remind ourselves of the purpose of a resume. After all, kn ...
</p></div>
|
|
| /articles/how-to-find-data-scientists-who-work-at-company-x |
<h3 class="heading-5">How to find Data Scientists who work at Company X</h3><div class="div-block-10"><p class="paragraph-4">You know you need to tailor your resume to each company you apply to, but you don’t know where to start. Some people have suggested finding out which Data Scientists are working there today, but a ...
</p></div>
|
|
| /articles/do-i-need-it-to-say-phd-on-my-resume-to-get-a-data-science-interview |
<h3 class="heading-5">Do I need it to say PhD on my resume to get a Data Science interview?</h3><div class="div-block-10"><p class="paragraph-4">Many times I've been told by a recruiter that I wasn't qualified for the job because I don't have a phD (even though the job listing often says an MS is sufficient)… You’re about to gradua ...
</p></div>
|
|
| /articles/how-can-i-find-data-science-internships-to-strengthen-my-resume |
<h3 class="heading-5">How can I find Data Science Internships to strengthen my resume?</h3><div class="div-block-10"><p class="paragraph-4">"I'm looking for a summer internship ... I've been looking at some of the big companies (Google, Amazon, etc) but I suspect that there are a lot of interesting places I don't know about..." ...
</p></div>
|
|
| /articles/how-should-a-data-scientist-s-resume-differ-from-an-academic-cv |
<h3 class="heading-5">How should a Data Scientist's resume differ from an Academic CV?</h3><div class="div-block-10"><p class="paragraph-4">"My academic cv is very much focused on papers published and not so much on skills and experience. From what I understand a business resume should focus more on experience and skills. Any thoughts/ ...
</p></div>
|
|
| /articles/5-reasons-kaggle-projects-won-t-help-your-data-science-resume |
<h3 class="heading-5">5 Reasons Kaggle Projects Won't Help Your Data Science Resume</h3><div class="div-block-10"><p class="paragraph-4">If you're starting out building your Data Science credentials you've probably often heard the advice "do a Kaggle project". And, those folks are right, its a great way to start to get your hands dirt ...
</p></div>
|
|
| /articles/the-6-best-ways-for-student-resumes-to-get-noticed-by-data-science-employers |
<h3 class="heading-5">The 6 Best Ways for Student Resumes to get noticed by Data Science Employers</h3><div class="div-block-10"><p class="paragraph-4">I am currently a Master's student in Statistics, and am interested in and trying to get into the Data Science job market. I am wondering what would be the best means of showcasing my skills. ...
</p></div>
|
|
| /articles/how-much-math-stats-do-i-need-on-my-data-science-resume |
<h3 class="heading-5">How much Math & Stats do I need on my Data Science resume?</h3><div class="div-block-10"><p class="paragraph-4">Do I need a strong math background to pursue a career as a data scientist? We see a lot of questions like this. Its hard when you're trying to break into the field to know exactly ho ...
</p></div>
|
|
| /articles/how-to-be-data-scientists-that-works-in-field-x |
<h3 class="heading-5">How To Be Data Scientists That Works In Field X</h3><div class="div-block-10"><p class="paragraph-4">You want to combine your experience in your current professions (called field X) for this article, with your rapidly increasing knowledge of data science. However, you're not sure if data science is ...
</p></div>
|
|
| /articles/how-to-figure-out-the-gaps-in-your-data-science-skill-set |
<h3 class="heading-5">How To Figure Out The Gaps In Your Data Science Skill Set</h3><div class="div-block-10"><p class="paragraph-4">What gaps in my current background/skill set should I be working on so that I can get a data science job? Your background and desired career path are slightly different than other people's. ...
</p></div>
|
|
| /articles/do-i-need-to-be-an-open-source-contributor-to-be-taken-seriously-by-a-data-science-hiring-manager |
<h3 class="heading-5">Do I need to be an open-source contributor to be taken seriously by a Data Science Hiring Manager?</h3><div class="div-block-10"><p class="paragraph-4">"I would like to know if one has to be a committer in some Apache project to gain the acceptance as a Data Engineer in the eye of a Hiring Manager" A fellow reader recently asked us this ...
</p></div>
|
|
| /articles/5-common-pitfalls-to-avoid-when-crafting-your-data-science-resume |
<h3 class="heading-5">5 Common Pitfalls To Avoid When Crafting Your Data Science Resume</h3><div class="div-block-10"><p class="paragraph-4">You're spending hours on your resume and still have no job interviews to show for it. You've been having trouble landing Data Science job interviews and think your resume may be hurting you. You'v ...
</p></div>
|
|
| /articles/how-can-i-improve-the-format-of-my-resume |
<h3 class="heading-5">How can I improve the format of my resume?</h3><div class="div-block-10"><p class="paragraph-4">"I've spent all afternoon trying to make this thing look good - and it's still an eyesore!" You've not had the best afternoon :( You've spent it moving, and re-moving text around your resume; you' ...
</p></div>
|
|
| /articles/what-questions-should-i-ask-when-trying-to-find-out-more-about-a-data-science-job |
<h3 class="heading-5">What questions should I ask when trying to find out more about a Data Science job?</h3><div class="div-block-10"><p class="paragraph-4">You're heading out to a Meetup and wondering what you should do to make the most of the networking opportunities. Or, perhaps you have an informational interview with a Data Scientist and/or Hiring M ...
</p></div>
|
|
| /articles/should-i-include-a-summary-section-on-my-resume |
<h3 class="heading-5">Should I include a Summary Section on my Resume?</h3><div class="div-block-10"><p class="paragraph-4">You've spent the morning reading blog posts - going back-and-forth on whether to include a Summary Section on your resume as you read one opinion after another that contradict each other. You've look ...
</p></div>
|
|
| /articles/what-sections-to-include-and-not-on-your-data-science-resume |
<h3 class="heading-5">What Sections to include (and not) on your Data Science Resume</h3><div class="div-block-10"><p class="paragraph-4">Wondering exactly what should be on your Data Science Resume? Spending a lot of time scouring resume advice sites but not finding anything specific to Data Science? It can be hard (not to mention tim ...
</p></div>
|
|
| /articles/how-to-write-an-awesome-cover-letter-tip-1 |
<h3 class="heading-5">How to Write An Awesome Cover Letter - Tip #1</h3><div class="div-block-10"><p class="paragraph-4">"Surely I don't need a cover letter - my resume will speak for itself" - Data Science Job Applicant You've been putting this bit off for weeks. You thought you'd get the resume right a ...
</p></div>
|
|
| /articles/how-to-write-an-awesome-cover-letter-tip-2 |
<h3 class="heading-5">How to Write An Awesome Cover Letter - Tip #2</h3><div class="div-block-10"><p class="paragraph-4">Aaagh! Yes, we're still talking cover letters. In the previous post (Tip #1) we shared how to tailor your Cover Letter for each application. Now, time for Tip #2… 2. Sa ...</p></div>
|
|
| /articles/how-to-write-an-awesome-cover-letter-tip-3 |
<h3 class="heading-5">How to Write An Awesome Cover Letter - Tip #3</h3><div class="div-block-10"><p class="paragraph-4">Ok, last one on cover letters for now! In the previous 2 posts (Tip #1, Tip #2) we shared How to tailor your Cover Letter for each application and How to Say Something New; Do ...
</p></div>
|
|
| /articles/what-s-the-best-way-for-a-peer-to-review-my-data-science-resume |
<h3 class="heading-5">What's the best way for a peer to review my Data Science resume?</h3><div class="div-block-10"><p class="paragraph-4">Ok, you’re getting close to done. You finally have a fleshed out resume and cover letter but you’re still feeling a bit insecure about it… Have you presented a compelling *and* accurat ...</p></div>
|
|
| /articles/how-to-describe-your-personal-projects-on-your-data-science-resume |
<h3 class="heading-5">How to describe your Personal Projects on your Data Science resume</h3><div class="div-block-10"><p class="paragraph-4">“I know project work is important to put on my resume, but I don’t know what (or how much) to write” You’ve been told the Projects section is important to include on on your resume, but th ...
</p></div>
|
|
| /articles/what-to-include-in-the-projects-section-of-your-data-science-resume |
<h3 class="heading-5">What to include in the Projects section of your Data Science Resume</h3><div class="div-block-10"><p class="paragraph-4">I’ve done a few projects off my own back to try to be taken seriously. Which of these should I be putting on my resume?” The Projects section will be more or less important for you ...</p></div>
|
|
| /articles/the-three-kinds-of-data-science-project-exams-that-show-up-in-a-data-science-interview |
<h3 class="heading-5">The Three Kinds Of Data Science Project Exams That Show Up In A Data Science Interview</h3><div class="div-block-10"><p class="paragraph-4">You've got an interview and you've found out an exam will be given to you. All that you've been told is that, at some point of your choosing in the next few weeks, you'll be given 4 hours to ingest a ...</p></div>
|
|
| /articles/how-to-prepare-for-a-data-science-training-course |
<h3 class="heading-5">How To Prepare For A Data Science Training Course</h3><div class="div-block-10"><p class="paragraph-4">You have decided to start a data science training program. Maybe it's a bootcamp, maybe it's a fellowship, maybe it's an apprenticeship, or maybe it's a professional degree like a masters program. In ...</p></div>
|
|
| /articles/how-to-get-a-data-analyst-job-in-9-months |
<h3 class="heading-5">How to Get a Data Analyst Job in 9 months</h3><div class="div-block-10"><p class="paragraph-4">Congrats on taking the plunge! If in 9 months you need to be employed as a data analyst, then we can do some backwards planning: Month 10 - Start Job Month 9-10 - Receive offer(s), decide, mov ...</p></div>
|
|
| /articles/how-to-find-a-data-science-job-in-new-orleans-for-entry-level-data-science-work |
<h3 class="heading-5">How to Find a Data Science Job in New Orleans for Entry Level Data Science Work</h3><div class="div-block-10"><p class="paragraph-4">A recent graduate in New York City wanted to move to New Orleans (NoLa) with his girlfriend and approached me to help him find an entry level data science job in New Orleans. A big fear he had was t ...</p></div>
|
|
| /articles/how-to-get-a-data-scientist-job-with-a-masters-in-marketing-degree-what-should-i-learn |
<h3 class="heading-5">How To Get A Data Scientist Job With A Masters In Marketing Degree - What Should I Learn</h3><div class="div-block-10"><p class="paragraph-4">We continue answering questions for the nontraditional data science job candidate who recently asked us about how to become a data scientist when their educational background was in marketing and soc ...</p></div>
|
|
| /articles/what-tools-do-employers-want-data-scientists-to-know |
<h3 class="heading-5">What tools do employers want data scientists to know?</h3><div class="div-block-10"><p class="paragraph-4">You find yourself overwhelmed with all the various tools mentioned in data science forums. You were hoping MATLAB would be enough, but you are inundated with advice of how to get started. You get ad ...</p></div>
|
|
| /articles/the-first-step-to-take-when-looking-for-a-data-science-job |
<h3 class="heading-5">The First Step To Take When Looking For A Data Science Job</h3><div class="div-block-10"><p class="paragraph-4">It's hard to know the right approach to use when looking for a data science job You have decided to look for a new job in the data science field and are finding it very hard. As someone new ...</p></div>
|
|
| /articles/the-simple-process-to-get-real-world-data-science-experience |
<h3 class="heading-5">The Simple Process To Get Real World Data Science Experience</h3><div class="div-block-10"><p class="paragraph-4">Do you feel like you do not stack up well against other people looking for a data science job because you have no "real world experience"? You have a good combination of academic background ...</p></div>
|
|
| /articles/why-there-s-not-one-best-way-to-land-a-data-science-job |
<h3 class="heading-5">Why there's not one "best way" to land a data science job</h3><div class="div-block-10"><p class="paragraph-4">"What Is The Best Way To Land A Data Science Job?" You've done a bit of statistics, mathematical modeling, and programming so data science seems like a field you would enjoy working in. Bein ...</p></div>
|
|
| /articles/how-to-find-junior-data-scientist-jobs |
<h3 class="heading-5">How To Find Junior Data Scientist Jobs</h3><div class="div-block-10"><p class="paragraph-4">You've started looking around on data science job websites, but they're all looking for senior level positions You've started looking for a Junior Data Science job on job websites. Almost al ...</p></div>
|
|
| /articles/how-to-get-a-data-science-hiring-manager-to-take-you-seriously |
<h3 class="heading-5">How To Get A Data Science Hiring Manager To Take You Seriously</h3><div class="div-block-10"><p class="paragraph-4">You're going to industry events to network with data science hiring managers and they don't seem very interested in someone with your background. You've been told networking is crucial to ge ...</p></div>
|
|
| /articles/building-a-data-science-portfolio-project-top-down |
<h3 class="heading-5">Building A Data Science Portfolio Project Top Down</h3><div class="div-block-10"><p class="paragraph-4">Employers want you to be value-adding from day 1. They don't have time to wait 90, 180, or even 360 days for you to start adding value. To that end, having a data science portfolio which showcases yo ...</p></div>
|
|
| /articles/how-to-grow-as-a-data-scientist-if-you-are-the-first-data-scientist-at-a-company |
<h3 class="heading-5">How to grow as a data scientist if you are the first data scientist at a company</h3><div class="div-block-10"><p class="paragraph-4">Congratulations - you interviewed for a data science position at a company and got hired! Not only that, you are the first data scientist this company has hired. There are no other data scientists a ...</p></div>
|
|
| /articles/how-to-think-about-what-data-science-projects-to-include-in-portfolio |
<h3 class="heading-5">How To Think About What Data Science Projects To Include In Portfolio</h3><div class="div-block-10"><p class="paragraph-4">You are looking for personal data science project ideas to build into your porfolio. As someone lacking large amounts of professional experience, you don't have tons of work experience to point to, s ...</p></div>
|
|
| /articles/how-to-start-a-data-science-project-when-you-are-a-beginner |
<h3 class="heading-5">How To Start A Data Science Project When You Are A Beginner</h3><div class="div-block-10"><p class="paragraph-4">You know you should have some data science projects on your resume/portfolio to show what you know. The only problem is that although you've taken some intro courses at your school, gone through some ...</p></div>
|
|
| /articles/data-science-project-checklist-to-use-before-you-start-a-project-to-convey-you-can-actually-get-work-done |
<h3 class="heading-5">Data Science Project Checklist To Use Before You Start A Project To Convey You Can Actually Get Work Done</h3><div class="div-block-10"><p class="paragraph-4">You're relatively new to DS, you're about to start project, and you're looking to make sure that you're going to be on the right track so that you don't fall into bad habits and methods early on and ...</p></div>
|
|
| /articles/how-to-show-awareness-of-the-wider-commercial-impact-of-data-science |
<h3 class="heading-5">How To Show Awareness Of The Wider Commercial Impact Of Data Science</h3><div class="div-block-10"><p class="paragraph-4">When interviewing for a data science job you will have to show your programming abilities. You will have to show your math and stats abilities. You will also have to show your business expertise. It ...</p></div>
|
|
| /articles/behind-the-scenes-at-dataiku-interview-with-data-scientist-matthieu-scordia |
<h3 class="heading-5">Behind the Scenes at Dataiku - Interview with Data Scientist Matthieu Scordia</h3><div class="div-block-10"><p class="paragraph-4">We recently interviewed Matthieu Scordia, a Data Scientist at Dataiku about his background, work at Dataiku and the role they're currently hiring for. Matthieu himself graduated with a master's ...</p></div>
|
|
| /articles/what-data-scientists-are-reading-and-why |
<h3 class="heading-5">What Data Scientists are reading. And why.</h3><div class="div-block-10"><p class="paragraph-4">We recently posted an analysis of the most-read articles on our newsletter for the past two quarters. We were curious to understand what was getting the most clicks and if there were any consistent ...</p></div>
|
|
| /articles/data-scientist-interviews-vol-1-april-2014 |
<h3 class="heading-5">Data Scientist Interviews - Vol 1, April 2014</h3><div class="div-block-10"><p class="paragraph-4">Over the past few months we have been lucky enough to conduct in-depth interviews with 15 different Data Scientists for our blog. The 15 interviewees have varied roles and focus areas: from start-up founders to academics to those working at more established companies; working across healthcare, energy, retail, agriculture, travel, dating, SaaS and more...</p></div>
|
|
| /articles/six-steps-to-take-before-pursuing-education-to-get-a-data-science-job |
<h3 class="heading-5">Six Steps To Take Before Pursuing Education To Get A Data Science Job</h3><div class="div-block-10"><p class="paragraph-4">Do you find yourself thinking I'm a bit of an unlikely candidate to do Data Science because I don't have a PhD in Computer Science or Mathematics? Do you feel like almost all of the companies hiring Data Scientists are looking for people with advanced degrees, so you find yourself wondering if you should go through 5-6 years in a PhD program? As you look at the "Data Science Venn Diagram" or the "Becoming a Data Scientist – Curriculum via Metromap" do you find yourself wondering if you have what it takes to make it?...</p></div>
|
|
| /articles/most-read-data-science-articles-q3-2014 |
<h3 class="heading-5">"Most Read" Data Science Articles - Q3 2014</h3><div class="div-block-10"><p class="paragraph-4">A Day in the Life of a Functional Data Scientist Richard Minerich explains how ideas and tools from functional programming can save time, prevent subtle mistakes in data science, and how he incorp ...</p></div>
|
|
| /articles/data-scientist-interviews-volume-2-december-2014 |
<h3 class="heading-5">Data Scientist Interviews - Volume 2, December 2014</h3><div class="div-block-10"><p class="paragraph-4">Over the past few months we have been lucky enough to conduct in-depth interviews with another 15 different Data Scientists. The 15 interviewees have varied roles and focus areas: from start-up founders to academics to those working at more established companies; working across content discovery, gaming, genomics, health and fitness, entertainment, mobile/communications and more…</p></div>
|
|
| /articles/most-read-data-science-articles-in-2014 |
<h3 class="heading-5">"Most Read" Data Science Articles in 2014</h3><div class="div-block-10"><p class="paragraph-4">Last year I made a list off the top of my head of awesome things other people did. I loved doing it so much that I'm doing it again for 2014...</p></div>
|
|
| /articles/15-most-read-data-science-articles-in-2015-so-far |
<h3 class="heading-5">15 Most Read Data Science Articles in 2015. So far …</h3><div class="div-block-10"><p class="paragraph-4">We've compiled the latest set of "most read" articles from the Data Science Weekly Newsletter. This is what is most popular thus far in 2015 - a mix of interesting applications of data science, advice on how best to get into the field, and unique explanations of some of the core concepts / techniques…</p></div>
|
|
| /articles/interview-with-data-science-hiring-manager-nick-larusso-graphiq |
<h3 class="heading-5">Interview with Data Science Hiring Manager: Nick Larusso, Graphiq</h3><div class="div-block-10"><p class="paragraph-4">Nick himself is a senior engineering manager, heading up the data engineering efforts on the engineering team at Graphiq. Nick joined the company in January 2013 after graduating from UCSB with a PhD in computer science in the area of data management and data mining. Nick received his Bachelors of Science in computer science and engineering from Ohio State University...</p></div>
|
|
| /articles/interview-with-data-science-hiring-manager-carlos-cabrera-patreon |
<h3 class="heading-5">Interview with Data Science Hiring Manager: Carlos Cabrera, Patreon</h3><div class="div-block-10"><p class="paragraph-4">Carlos himself joined Patreon in May 2015 after completing an MBA at Stanford's Graduate School of Business. His professional experience includes statistical modeling of natural catastrophe risk, management at a music technology company, and strategy consulting. He also plays the drums for Pomplamoose, the band co-founded by Patreon's CEO Jack Conte...</p></div>
|
|
| /articles/how-to-get-a-data-scientist-job-with-a-masters-in-marketing-degree-top-down-advice |
<h3 class="heading-5">How To Get A Data Scientist Job With A Masters In Marketing Degree - Top Down Advice</h3><div class="div-block-10"><p class="paragraph-4">A nontraditional data science job candidate recently asked about how to become a data scientist when their education background was in marketing and social media. Before answering our friend’s questions about whether they need a degree or what topics/languages they should learn, it’s helpful to step back to look at the bigger question: How do I get hired as a data scientist with a nontraditional background?...</p></div>
|
|
| /articles/is-datacamp-com-okay-to-put-on-a-resume |
<h3 class="heading-5">Is DataCamp.com okay to put on a resume?</h3><div class="div-block-10"><p class="paragraph-4">You took a free online course to add to your credentials in hopes of getting a data science job. Perhaps, you’re like a friend who asked us a few weeks ago “Is DataCamp.com okay to put on a resume?” especially since the DataCamp website is focused on teaching R for those wanting to becoming a Data Analyst. Maybe instead of a DataCamp course, you’ve taken one of the free MOOCs?...</p></div>
|
|
| /articles/basic-research-you-must-do-before-a-data-science-interview |
<h3 class="heading-5">Basic research you must do before a data science interview</h3><div class="div-block-10"><p class="paragraph-4">You applied for and received an interview for a data science role. Congratulations! If you’re like most people though, this is when the thoughts of “how do I really stand out so that I can get the job” kick into high gear. Instead of thinking about it a few times a day when your mind drifts from your other work, these thoughts now consume almost all of your waking hours. You think about it as you get out of bed in the mornings, as you go through your schedule during the day, and finally as you brush your teeth at night. It might even been causing you to stay awake at night because you can’t stop thinking about how to finally get the data science job that allows you way more money than you ever made as a graduate student while at the same time allowing you to play with math, statistics, and computers...</p></div>
|
|
| /articles/where-are-data-science-jobs-located |
<h3 class="heading-5">Where Are Data Science Jobs Located?</h3><div class="div-block-10"><p class="paragraph-4">Obviously a great deal of tech companies (from the Facebooks and Netflixes of the world all the way down to startups that started last week) are located in the San Fran area so it makes sense that there will be a big pull for data scientists there. Add to the mix that a big proportion of venture capital money is in that area, and it really does make it seem like that’s the only place to get a data science job...</p></div>
|
|
| /articles/what-do-data-scientists-get-hired-to-do |
<h3 class="heading-5">What do data scientists get hired to do?</h3><div class="div-block-10"><p class="paragraph-4">You have started to get interested in data science recently, and always find it interesting spending time thinking about the best way to analyze your data. Your background isn’t computer science, though you’ve studied lots of statistics and have may have every run a few experiments. You do a bit of programming and are decent at math. So you find yourself pondering what you can do after you finish your current project and would like to change fields for a different number of reasons...</p></div>
|
|
| /articles/you-can-be-a-data-analyst-without-doing-heavy-math |
<h3 class="heading-5">You Can Be A Data Analyst Without Doing Heavy Math</h3><div class="div-block-10"><p class="paragraph-4">When you read online descriptions of data analyst jobs do you feel like you’re not qualified? Do you feel like a cycle repair technician because you aren’t working with terabyte databases, running PhD-level math equations, and implementing your own machine learning algorithms? Do you feel like you are missing out on the sexy parts of data analysis, while all you do is the grunt work?...</p></div>
|
|
| /articles/depth-versus-breadth-in-data-science-jobs-skills |
<h3 class="heading-5">Depth Versus Breadth In Data Science Jobs Skills</h3><div class="div-block-10"><p class="paragraph-4">Where do you go after you've started learning basic data science? You are already doing some exploratory data analysis with Python or R. You've done some modeling and machine learning as well. You may even have built data pipelines with a combination of R, Python, SQL, Unix, and other software. The question is - where do you go next?...</p></div>
|
|
| /articles/quantity-versus-quality-in-your-data-science-portfolio |
<h3 class="heading-5">Quantity Versus Quality In Your Data Science Portfolio</h3><div class="div-block-10"><p class="paragraph-4">A prospective employer will look at your online profiles. This will help them get a bigger picture of you than what was in your resume and profile you filled out for your data science job application. When they find your data science portfolio they will judge your work. Which brings up a very important question - should you focus on quality or quantity?...</p></div>
|
|
| /articles/building-a-data-science-portfolio-project-bottom-up |
<h3 class="heading-5">Building A Data Science Portfolio Project Bottom Up</h3><div class="div-block-10"><p class="paragraph-4">You are going to build a data science portfolio in order to showcase your skills. You will use it in order to attract potential employers, as well as something to speak about during the actual interview. You've read the article How To Choose A Data Science Project For Your Data Science Portfolio and have a few ideas of projects. The question now becomes, what do you do next... This article, will cover the basics of the bottom up approach - starting with the data...</p></div>
|
|
| /articles/how-to-choose-a-data-science-project-for-your-data-science-portfolio |
<h3 class="heading-5">How To Choose A Data Science Project For Your Data Science Portfolio</h3><div class="div-block-10"><p class="paragraph-4">You want to create a data science portfolio to showcase you can “do” data science. That you know how to take in a data set, clean it up, use various techniques to extract useful information from it, and then communicate the results. The problem is that you aren’t sure where to start, what projects to do, what languages to use, or even what techniques to use. You’ve read on several blogs people using just one or two algorithms to make awesome things and so you’re thinking of picking small interesting projects, but you’re afraid it’ll just be a waste of time.</p></div>
|
|
| /articles/how-you-should-create-a-data-science-portfolio-that-will-get-you-hired |
<h3 class="heading-5">How You Should Create A Data Science Portfolio That Will Get You Hired</h3><div class="div-block-10"><p class="paragraph-4">You really want to avoid going back to school just to work on projects that will be your portfolio. You are busy. Interviewing is hard. Data Science is new and means different things to different people. And most of all, you're worried that since you are learning skills on your own time at home, you may not be learning the right things. So when you construct your data science portfolio, it may be all wrong...</p></div>
|
|
| /articles/aspiring-data-scientist-here-are-some-at-work-project-ideas |
<h3 class="heading-5">Aspiring Data Scientist? Here Are Some At Work Project Ideas</h3><div class="div-block-10"><p class="paragraph-4">Do you find yourself wanting to move into Data Science but keep hearing "get some data, analyze it, and you'll be fine..."? Have you developed many of the base skills for data science, such as programming, data analysis, and/or visualization but are unsure of how to apply them? Are you looking to differentiate yourself from the ever-growing pile of aspiring "data scientist" who have taken the usual Coursera classes and done Kaggle competitions?...You are not alone...</p></div>
|
|
| /newsletters |
Data Science Newsletter
|
|
| /data-science-guides |
Data Science Guides
|
|
| /articles |
Data Science Articles
|
|
| /data-scientist-interviews |
Data Science Interviews
|
|
| /data-science-resources |
Data Science Resources
|
|
| /tutorials |
Data Science Tutorials
|
|
| /data-science-guides |
Become a Data Scientist
|
|
| /numpy-tutorials |
NumPy Tutorials
|
|
| /pytorch-tutorials |
PyTorch Tutorials
|
|
| /mxnet-tutorials |
MXNet Tutorials
|
|
| /about-us |
About Us
|
|
| /advertising |
Advertising
|
|
| / |
Data Science Weekly
|
|
| /newsletters |
Archives
|
|
| /newsletter/data-science-weekly-newsletter-issue-484 |
Latest Issue
|
|
| / |
Subscribe
|
|
Внешние ссылки
Кол-во: 3
Ссылки на сторонние сайты
?
Исходящие внешние ссылки передают часть ссылочного веса на чужие сайты. Ссылки на авторитетные ресурсы безопасны; ссылки на мусорные сайты могут навредить репутации страницы.
Внешних ссылок на странице 3 оптимально.
Показать внешние ссылки
| Url | Анкор |
|---|---|
| amazon.com |
Data Science Book
|
| twitter.com |
Twitter
|
| youtube.com |
YouTube
|
Конкуренты Готовность: 0%
Конкуренты в Яндексе
Кол-во: 0
Топ сайтов-конкурентов в Яндексе
?
Сайты, чаще всего появляющиеся в ТОПе Яндекса по запросам из семантического ядра этой страницы.
Мы не нашли у вас конкурентов в Яндексе. Сайт или очень молодой или плохо продвигается.
Конкурентов в ТОП-10 Яндекса не нашлось.
Конкуренты в Google
Кол-во: 0
Топ сайтов-конкурентов в Google
?
Сайты, чаще всего появляющиеся в ТОПе Google по запросам из семантического ядра этой страницы.
Конкуренты в Google тоже не найдены. Займитесь продвижением сайта!
Конкурентов в ТОП-10 Google не нашлось.
ЗоЗПП: права потребителей Готовность: 100%
Нарушения
Не выявлены
Признаков дистанционной продажи товаров (интернет-магазина) не обнаружено — требования ЗоЗПП о раскрытии информации продавца к сайту не применяются. Нарушений нет.
ФЗ-149: рекомендательные технологии Готовность: 100%
Нарушения
Не выявлены
Рекомендательные блоки («с этим покупают», «похожие товары» и т.п.) на сайте не обнаружены — требования ст. 10.7 ФЗ-149 к сайту не применяются. Нарушений нет.
ФЗ-38: реклама Готовность: 100%
Нарушения
Не выявлены
Рекламных тематик с обязательными оговорками (медицина, БАД, кредиты и займы, новостройки) на сайте не обнаружено. Нарушений нет.
ФЗ-436: защита детей Готовность: 100%
Нарушения
Не выявлены
Признаков информационной продукции (новости, видео, книги, игры, курсы) не обнаружено — обязательная возрастная маркировка по ФЗ-436 сайту не требуется. Нарушений нет.
Вердикт
Страница https://www.datascienceweekly.org/articles готова к продвижению на 82%. Чтобы еще улучшить страницу и попасть на первые места поисковой выдачи необходимо:
Исправьте ошибки в мета-тегах.
Поделитесь с друзьями: