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данных","slug":"data_analytics","short_name":"Аналитика","order":3,"state":"published","category_slug":"courses_data_analytics"},"answerDto":{"id":null,"body":"","meta":{"model":"question_answer","relations":{}}},"question":{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1096,"slug":"analitika","name":"Аналитика"},{"id":1095,"slug":"data-analitika","name":"data-аналитика"}],"id":2774,"answers_count":1,"slug":"pandas-kak-zamenit-nan","state":"published","title":"pandas как заменить nan\r","created_at":"2023-03-29T12:39:37.371Z","details":null,"best_answer_id":null,"related_stacks_count":5},"answers":[{"user":{"id":294764,"email":"sgmdlt@protonmail.com","first_name":"Ivan","last_name":"Mamtsev","telegram":"","full_name":"Ivan Mamtsev","removed":false},"question":{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1096,"slug":"analitika","name":"Аналитика"},{"id":1095,"slug":"data-analitika","name":"data-аналитика"}],"id":2774,"answers_count":1,"slug":"pandas-kak-zamenit-nan","state":"published","title":"pandas как заменить nan\r","created_at":"2023-03-29T12:39:37.371Z","details":null,"best_answer_id":null,"related_stacks_count":5},"id":4061,"state":"active","body":"Для замены значений `NaN` в pandas можно использовать методы `fillna()` или `replace()`.\r\n\r\nМетод `fillna()` позволяет заменить все значения NaN определенным значением, например:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# Создаем датафрейм с NaN значениями\r\ndf = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})\r\n\r\n# Заменяем все значения NaN на 0\r\ndf.fillna(0, inplace=True)\r\n\r\nprint(df)\r\n```\r\n\r\nМетод `replace()` позволяет заменить конкретное значение (в том числе и NaN) на другое значение, например:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# Создаем датафрейм с NaN значениями\r\ndf = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})\r\n\r\n# Заменяем значение NaN в столбце A на 0\r\ndf['A'].replace([None], 0, inplace=True)\r\n\r\nprint(df)\r\n```\r\n\r\nЕсли вы хотите заменить NaN только в определенных столбцах или строках, вы можете указать параметр subset при использовании метода `fillna()`.\r\n\r\nТакже можно использовать другие методы для замены NaN значений, в зависимости от ваших потребностей.","votes_up_count":0,"votes_down_count":0,"created_at":"2024-07-10T12:13:07.691Z","user_id":294764,"category_slug":"data-analytics"}],"relatedQuestions":[{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1096,"slug":"analitika","name":"Аналитика"},{"id":1095,"slug":"data-analitika","name":"data-аналитика"}],"id":2699,"answers_count":1,"slug":"chto-takoe-ctr","state":"published","title":"что такое ctr\r","created_at":"2023-03-29T12:39:31.634Z","details":null,"best_answer_id":4289,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика 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установить\r","created_at":"2023-03-29T12:39:31.811Z","details":null,"best_answer_id":4287,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1095,"slug":"data-analitika","name":"data-аналитика"},{"id":1096,"slug":"analitika","name":"Аналитика"}],"id":2702,"answers_count":1,"slug":"matplotlib-pyplot-chto-eto","state":"published","title":"matplotlib pyplot что это\r","created_at":"2023-03-29T12:39:31.873Z","details":null,"best_answer_id":4286,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика 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{.mantine-hidden-from-lg {display: none !important;}}@media (max-width: 87.99375em) {.mantine-visible-from-xl {display: none !important;}}@media (min-width: 88em) {.mantine-hidden-from-xl {display: none !important;}}</style><script type="application/ld+json">{"@context":"https://schema.org","@type":"QAPage","mainEntity":{"@type":"Question","name":"pandas как заменить nan\r","answerCount":1,"datePublished":"2023-03-29T12:39:37.371Z","author":{"@type":"Person","name":"Arthur Cheremisin"},"suggestedAnswer":[{"@type":"Answer","text":"Для замены значений `NaN` в pandas можно использовать методы `fillna()` или `replace()`.\r\n\r\nМетод `fillna()` позволяет заменить все значения NaN определенным значением, например:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# Создаем датафрейм с NaN значениями\r\ndf = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})\r\n\r\n# Заменяем все значения NaN на 0\r\ndf.fillna(0, inplace=True)\r\n\r\nprint(df)\r\n```\r\n\r\nМетод `replace()` позволяет заменить конкретное значение (в том числе и NaN) на другое значение, например:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# Создаем датафрейм с NaN значениями\r\ndf = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})\r\n\r\n# Заменяем значение NaN в столбце A на 0\r\ndf['A'].replace([None], 0, inplace=True)\r\n\r\nprint(df)\r\n```\r\n\r\nЕсли вы хотите заменить NaN только в определенных столбцах или строках, вы можете указать параметр subset при использовании метода `fillna()`.\r\n\r\nТакже можно использовать другие методы для замены NaN значений, в зависимости от ваших потребностей.","datePublished":"2024-07-10T12:13:07.691Z","upvoteCount":0,"author":{"@type":"Person","name":"Ivan Mamtsev"},"url":"https://ru.hexlet.io/qna/data-analytics/questions/pandas-kak-zamenit-nan#answer-4061"}]}}</script><div style="--container-size:var(--container-size-lg);margin-top:var(--mantine-spacing-xl);height:100%" class="m_7485cace mantine-Container-root" data-size="lg" 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class="m_347db0ec mantine-Badge-root" data-variant="default" data-size="sm"><span class="m_5add502a mantine-Badge-label">data-аналитика</span></div></a></div><div style="--group-gap:var(--mantine-spacing-md);--group-align:center;--group-justify:flex-start;--group-wrap:wrap;margin-bottom:var(--mantine-spacing-xl);font-size:var(--mantine-font-size-sm)" class="m_4081bf90 mantine-Group-root"><div style="--group-gap:calc(0.25rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:wrap;margin-inline-start:auto" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-calendar "><path d="M4 7a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v12a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2v-12"></path><path d="M16 3v4"></path><path d="M8 3v4"></path><path d="M4 11h16"></path><path d="M11 15h1"></path><path d="M12 15v3"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">3 года назад</p></div><div style="--group-gap:calc(0.25rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:wrap" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-user "><path d="M8 7a4 4 0 1 0 8 0a4 4 0 0 0 -8 0"></path><path d="M6 21v-2a4 4 0 0 1 4 -4h4a4 4 0 0 1 4 4v2"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">Arthur Cheremisin</p></div></div><div role="link" tabindex="0" style="cursor:pointer"><button style="display:block;width:100%" class="mantine-focus-auto m_87cf2631 mantine-UnstyledButton-root" type="button" aria-label="Присоединяйтесь к нашему Telegram-сообществу"><div 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style="--title-fw:var(--mantine-h2-font-weight);--title-lh:var(--mantine-h2-line-height);--title-fz:var(--mantine-h2-font-size);margin-block:var(--mantine-spacing-xl)" class="m_8a5d1357 mantine-Title-root" data-order="2">Ответы</h2><div style="margin-bottom:var(--mantine-spacing-xl);padding:var(--mantine-spacing-lg)" class="m_e615b15f mantine-Card-root m_1b7284a3 mantine-Paper-root" data-with-border="true" id="answer-4061"><div style="--group-gap:calc(1.125rem * var(--mantine-scale));--group-align:stretch;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><div style="--stack-gap:var(--mantine-spacing-md);--stack-align:stretch;--stack-justify:flex-start;font-size:var(--mantine-font-size-h1);font-weight:lighter;text-align:center" class="m_6d731127 mantine-Stack-root">0<a style="color:inherit" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="/qna/data-analytics/questions/pandas-kak-zamenit-nan/answers/4061/vote"><div style="--ti-bg:transparent;--ti-color:var(--mantine-color-indigo-light-color);--ti-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;color:inherit" class="m_7341320d mantine-ThemeIcon-root" data-variant="transparent"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-thumb-up "><path d="M7 11v8a1 1 0 0 1 -1 1h-2a1 1 0 0 1 -1 -1v-7a1 1 0 0 1 1 -1h3a4 4 0 0 0 4 -4v-1a2 2 0 0 1 4 0v5h3a2 2 0 0 1 2 2l-1 5a2 3 0 0 1 -2 2h-7a3 3 0 0 1 -3 -3"></path></svg></div></a></div><div style="--stack-gap:var(--mantine-spacing-md);--stack-align:stretch;--stack-justify:flex-start;width:100%;min-width:0rem" class="m_6d731127 mantine-Stack-root"><div style="margin-bottom:auto" class="m_d08caa0 mantine-Typography-root"><p>Для замены значений <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">NaN</code> в pandas можно использовать методы <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">fillna()</code> или <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">replace()</code>.</p>
<p>Метод <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">fillna()</code> позволяет заменить все значения NaN определенным значением, например:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">import pandas as pd
# Создаем датафрейм с NaN значениями
df = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})
# Заменяем все значения NaN на 0
df.fillna(0, inplace=True)
print(df)</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Метод <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">replace()</code> позволяет заменить конкретное значение (в том числе и NaN) на другое значение, например:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">import pandas as pd
# Создаем датафрейм с NaN значениями
df = pd.DataFrame({'A': [1, 2, None, 4, 5], 'B': [None, 2, 3, None, 5]})
# Заменяем значение NaN в столбце A на 0
df['A'].replace([None], 0, inplace=True)
print(df)</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Если вы хотите заменить NaN только в определенных столбцах или строках, вы можете указать параметр subset при использовании метода <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">fillna()</code>.</p>
<p>Также можно использовать другие методы для замены NaN значений, в зависимости от ваших потребностей.</p></div><div class="m_3eebeb36 mantine-Divider-root" data-orientation="horizontal" role="separator"></div><div style="--group-gap:var(--mantine-spacing-md);--group-align:center;--group-justify:flex-start;--group-wrap:wrap;font-size:var(--mantine-font-size-sm)" class="m_4081bf90 mantine-Group-root"><div style="--group-gap:var(--mantine-spacing-xs);--group-align:center;--group-justify:flex-start;--group-wrap:wrap;margin-inline-start:auto" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-calendar "><path d="M4 7a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v12a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2v-12"></path><path d="M16 3v4"></path><path d="M8 3v4"></path><path d="M4 11h16"></path><path d="M11 15h1"></path><path d="M12 15v3"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">2 года назад</p></div><div style="--group-gap:var(--mantine-spacing-xs);--group-align:center;--group-justify:flex-start;--group-wrap:wrap" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-user "><path d="M8 7a4 4 0 1 0 8 0a4 4 0 0 0 -8 0"></path><path d="M6 21v-2a4 4 0 0 1 4 -4h4a4 4 0 0 1 4 4v2"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">Ivan Mamtsev</p></div></div></div></div></div><style data-mantine-styles="inline">.__m__-_R_4bbdiub_{--carousel-slide-gap:var(--mantine-spacing-xs);--carousel-slide-size:70%;}@media(min-width: 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var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">3 месяца</span><span class="mantine-focus-auto m_b6d8b162 mantine-Text-root">·</span><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">С нуля</span></div><p style="margin-bottom:var(--mantine-spacing-sm);font-size:var(--mantine-font-size-h5);font-weight:bold" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Python для анализа данных</p><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Изучите Python для больших данных и аналитических задач</p><div style="margin-top:auto" class=""><div class="m_4451eb3a mantine-Center-root"><img style="opacity:0.8;width:70%" class="m_9e117634 mantine-Image-root mantine-visible-from-xs" src="https://hexlet.io/rails/active_storage/representations/proxy/eyJfcmFpbHMiOnsiZGF0YSI6Mzk1OSwicHVyIjoiYmxvYl9pZCJ9fQ==--39f076671bc03debdf48e861bbd4c34c3fd4aac8/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJ3ZWJwIiwicmVzaXplX3RvX2xpbWl0IjpbNDAwLDQwMF0sInNhdmVyIjp7InF1YWxpdHkiOjg1fX0sInB1ciI6InZhcmlhdGlvbiJ9fQ==--5b6f46dacd1af664f27558553a58076185091823/Data%20extraction-bro.png" alt="Python для анализа данных" loading="eager"/></div><div style="--group-gap:var(--mantine-spacing-md);--group-align:end;--group-justify:space-between;--group-wrap:wrap;margin-top:var(--mantine-spacing-xs)" class="m_4081bf90 mantine-Group-root"><p style="font-size:var(--mantine-font-size-xl)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">от 3 900 ₽</p><p style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Посмотреть →</p></div></div></div></a></div></div><div class="m_d98df724 mantine-Carousel-slide" data-orientation="horizontal"><div tabindex="0" style="cursor:pointer;height:100%"><a style="text-decoration:none" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="/programs/data-analytics?promo_name=programs_list&promo_position=qna_question&promo_creative=catalog_card&promo_type=card" target="_blank"><div style="height:100%" class="m_e615b15f mantine-Card-root m_1b7284a3 mantine-Paper-root" data-with-border="true"><div style="--group-gap:calc(0.25rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">7 месяцев</span><span class="mantine-focus-auto m_b6d8b162 mantine-Text-root">·</span><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">С нуля</span></div><p style="margin-bottom:var(--mantine-spacing-sm);font-size:var(--mantine-font-size-h5);font-weight:bold" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Аналитик данных</p><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root">Изучите SQL, Python, Pandas, Tableau, Superset и методы A/B-тестов.</p><div style="margin-top:auto" class=""><div class="m_4451eb3a mantine-Center-root"><img style="opacity:0.8;width:70%" class="m_9e117634 mantine-Image-root mantine-visible-from-xs" src="https://hexlet.io/rails/active_storage/representations/proxy/eyJfcmFpbHMiOnsiZGF0YSI6MzY1MywicHVyIjoiYmxvYl9pZCJ9fQ==--5107185de77b3481e0a836f9fc7326c4e1b77be4/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJ3ZWJwIiwicmVzaXplX3RvX2xpbWl0IjpbNDAwLDQwMF0sInNhdmVyIjp7InF1YWxpdHkiOjg1fX0sInB1ciI6InZhcmlhdGlvbiJ9fQ==--5b6f46dacd1af664f27558553a58076185091823/Data%20extraction-pana.png" alt="Аналитик данных" loading="eager"/></div><div 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