{"id":54122,"date":"2025-05-30T13:45:30","date_gmt":"2025-05-30T13:45:30","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&#038;p=54122"},"modified":"2025-09-25T16:25:26","modified_gmt":"2025-09-25T16:25:26","slug":"bayesian-statistics","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/bayesian-statistics\/","title":{"rendered":"Bayesian Statistics"},"content":{"rendered":"\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"783b6ca4\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-group-hero js-group-hero\" data-id=\"efcc6a6f\">\n\t\t<div class=\"block-group-hero__background\">\n\t\t<div class=\"hero-theme block-group-hero__hero-theme\" data-id=\"9b23e031\">\n\t\n\t<div class=\"hero-theme__background\">\n\t\t\t\t\t<div class=\"hero-theme__background--data-white\">\n\t\t\t\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='46' height='55' viewBox='0 0 46 55' fill='none'><ellipse cx='23' cy='36.7998' rx='22.5' ry='18' fill='url(#d735639f-d453-471a-801b-0657b2eb7a67)'\/><ellipse cx='23' cy='18.7998' rx='22.5' ry='18' fill='url(#4c1d66b0-2ce8-4afa-9d6a-39f96de62a0f)'\/><path fill-rule='evenodd' clip-rule='evenodd' d='M3.51 27.8c3.891-5.38 11.162-9 19.49-9 8.329 0 15.6 3.62 19.49 9-3.89 5.38-11.161 9-19.49 9-8.328 0-15.599-3.62-19.49-9Z' fill='url(#49b6e6d5-70ad-4f46-bf58-c0f7e50be95b)'\/><defs><linearGradient id='d735639f-d453-471a-801b-0657b2eb7a67' x1='23' y1='18.7998' x2='23' y2='54.7998' gradientUnits='userSpaceOnUse'><stop stop-color='#F3F3F3' stop-opacity='0.5'\/><stop offset='1' stop-color='#84117C'\/><\/linearGradient><linearGradient id='4c1d66b0-2ce8-4afa-9d6a-39f96de62a0f' x1='23' y1='0.799805' x2='23' y2='36.7998' gradientUnits='userSpaceOnUse'><stop stop-color='#F3F3F3' stop-opacity='0.5'\/><stop offset='1' stop-color='#84117C'\/><\/linearGradient><linearGradient id='49b6e6d5-70ad-4f46-bf58-c0f7e50be95b' x1='23.0006' y1='18.7998' x2='23.0006' y2='36.7998' gradientUnits='userSpaceOnUse'><stop stop-color='#84117C'\/><stop offset='0.9999' stop-color='#A80C9E'\/><stop offset='1' stop-color='#84117C' stop-opacity='0'\/><\/linearGradient><\/defs><\/svg>\t\t\t<\/div>\n\t\t\n\t<\/div>\n<\/div>\t<\/div>\n\t<div class=\"block-group-hero__content\">\n\t\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"761a6d5b\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-course-hero\">\n\t<div class=\"block-course-hero__row\">\n\t\t<div class=\"block-course-hero block-course-hero__title\">\n\t\t\t<div class=\"block-course-hero__title-container\">\n\t\t\t\t<h1\tclass=\"heading\"\n\tdata-id=\"2e1fb9bd\"\n>\n\t<strong><strong><strong>Bayesian Statistics<\/strong><\/strong><\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"block-course-hero__row\">\n\t\t<div class=\"block-course-hero\">\n\t\t\t<div class=\"block-course-hero__content\">\n\t\t\t\t<p class=\"block-course-hero__date-location\">\n\t\t\t\t\t<span data-training-meta-p-date>\n\t\t\t\t\t<\/span>   <span data-training-meta-p-address>\t\t\t\t\t<\/span>\n\t\t\t\t<\/p>\n\t\t\t\t<div class=\"course-tags block-course-hero__course-tags\" data-id=\"ba32317d\">\n\t<div class=\"tags course-tags__tags js-tags\">\n\t\t<button\tclass=\"btn tags__show-more js-tags-show-more\"\n\tdata-id=\"51f3eb86\">\n\t<i class=\"icon btn__show-more\" data-id=\"0396f43b\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' fill='none' viewBox='0 0 25 24'><path stroke='currentColor' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M7 12h10M12 7v10'\/><\/svg><\/i>\n\t\n\t<\/button>\t<div class=\"tags__tippy-template js-tags-tippy-template\">\n\t\t<div class=\"tags__head\">\n\t\t\t<span><\/span>\n\t\t\t<button\tclass=\"btn tags__close js-tags-close\"\n\tdata-id=\"118ca169\">\n\t<i class=\"icon btn__close\" data-id=\"d14b18b2\"  aria-hidden=\"true\">\n\t<svg width='20' height='20' viewBox='0 0 20 20' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M15 5L5.00103 14.999' stroke='#6A1D57' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M15 14.998L5.00103 4.99907' stroke='#6A1D57' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><\/svg><\/i>\n\t\n\t<\/button>\t\t<\/div>\n\t<\/div>\n<\/div><\/div><p class=\"paragraph block-course-hero__description\" data-id=\"25fe4314\">\n\tBayesian statistics is a framework based on Bayes\u2019 Theorem, which has revolutionized many industries by dealing with probability distributions differently (as Bayes would say: <em>Common sense expressed in numbers<\/em>). The Bayesian interpretation of \u2018probability\u2019 defines probability as a degree of belief that an event will occur given prior experiences. In this 2-day deep-dive into Bayesian statistics, you\u2019ll discover how to solve multi-armed bandits using techniques such as Markov chain Monte Carlo, Variational Inference, and much more.<\/p>\t\t\t\t<div class=\"block-course-hero__trainers-list\" aria-hidden=\"true\">\n\t\t\t\t\t<a href=\"https:\/\/example.com\" class=\"author-meta block-course-hero__author-meta author-meta__make-flex author-meta__link author-meta__make-flex\" rel=\"nofollow noopener\" target=\"_blank\">\n\t\t<picture class=\"image author-meta__image\" data-id=\"3d007f0e\">\n\n\t\n\t\n\t<img\n\t\tsrc=\"https:\/\/example.com\"\n\t\talt=\"\"\n\t\tclass=\"image__img author-meta__image-img\"\n\t\/>\n<\/picture><h2\tclass=\"heading author-meta__heading\"\n\tdata-id=\"30c6de61\"\n>\n\tTrainer Title<\/h2>\t<\/a>\t\t\t\t<\/div>\n\t\t\t\t<div\n\t\t\t\t\tclass=\"block-course-hero__review-widget block-course-hero__review-widget-spacing\"\n\t\t\t\t\taria-hidden=\"true\">\n\t\t\t\t\t<div class=\"springest-review-widget springest-review-widget-width:300 springest-review-widget-bg:FFFFFF\">\n\t<a href=\"\">\n\t\t\t<\/a>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"block-course-hero__booking-container\">\n\t\t\t\t<div class=\"booking js-booking block-course-hero__booking booking__single-column\" data-id=\"5e0161c1\">\n\t\t<div class=\"booking__info\">\n\t\t<h2\tclass=\"heading booking__heading\"\n\tdata-id=\"d445a537\"\n>\n\t<strong>Looking to upskill your team(s) or organization?<\/strong><\/h2><p class=\"paragraph booking__paragraph\" data-id=\"1f910fcd\">\n\t<br>Brijesh will gladly help you further with custom training solutions<\/p><div class=\"author-meta booking__author-meta\">\n\t\t<picture class=\"image author-meta__image\" data-id=\"7e6e830c\">\n\n\t\n\t\n\t<img\n\t\tsrc=\"\/wp-content\/uploads\/sites\/21\/2025\/05\/Brijesh-Kohli-Profile-Picture-2-e1757405354999.jpeg\"\n\t\talt=\"\"\n\t\tclass=\"image__img author-meta__image-img\"\n\t\/>\n<\/picture>\t\t<h2\tclass=\"heading author-meta__heading\"\n\tdata-id=\"0eef919d\"\n>\n\tBrijesh Kohli<br>Training Advisor<\/h2>\t\t<p class=\"paragraph author-meta__paragraph\" data-id=\"0a024bfc\">\n\t<a href=\"tel:+14049883790\">+1 (404) 988-3790<\/a><a href=\"tel:\"><br><\/a><a href=\"mailto:brijesh.kohli@xebia.com\">brijesh.kohli@xebia.com<br><\/a><a href=\"https:\/\/www.linkedin.com\/in\/brijesh-kohli\/\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/www.linkedin.com\/in\/brijesh-kohli\/<\/a><\/p>\t<\/div><a class=\"btn booking__contact\" title=\"Get in touch\" data-id=\"6068130c\" href=\"https:\/\/academy.xebia.com\/us\/about-us\/contact-us\/\">\n\t\n\t\t\t<span>Get in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"e397e5d1\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-course-stats\" \n\tdata-id=\"9a2bc6d6\" \n\taria-hidden=\"1\"\n\t>\n\t\n\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"e7dab64b\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-columns\" data-id=\"e2aed778\">\n\t\n\n<div class=\"block-column\" data-id=\"7c0d52a0\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"f68d91f0\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"041ee917\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"bd8dde1c\"\n>\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"17616c81\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-bullet-list\">\n\t\t\t<p class=\"paragraph block-bullet-list__paragraph\" data-id=\"e98c3ed3\">\n\tAfter the training, you will be able to:<\/p>\t<div class=\"block-bullet-list__columns\">\n\t\t\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"8c3ddecb\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"da78cd0f\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"e05e1953\">\n\t<p data-pm-slice=\"1 1 []\">Explain the theory of Bayesian Statistics and how it differs from the classical approach.<\/p><\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"b6061549\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"802c92c2\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"0697a997\">\n\t<p data-pm-slice=\"1 1 []\">Apply Bayes\u2019 Theorem to real-world problems.<\/p><\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"a2b0ffda\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"2336ab65\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"d05379ad\">\n\tUse PyMC to put Bayesian statistics into practice<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"addb2df6\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-columns\" data-id=\"96fedf1b\">\n\t\n\n<div class=\"block-column\" data-id=\"7593121d\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"9fc87d88\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"020d7825\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"2eb3bee7\"\n>\n\tProgram<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n<div class=\"block-column\" data-id=\"fe438a2c\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"c5b9bed4\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div\n\tclass=\"block-accordion js-block-accordion\"\n\tdata-close-adjacent=\"false\"\n>\n\t\t\n\n<div class=\"block-accordion-item js-block-accordion-item\" \n\taria-expanded=\"true\"\n>\n\t<button class=\"block-accordion-item__trigger js-block-accordion-item-trigger\" \n\t\taria-label=\"Day 1\" \n\t\taria-controls=\"01123656\" \n\t\taria-expanded=\"true\" \n\t\tid=\"9621c216\"\n\t>\n\t\t<h2\tclass=\"heading block-accordion-item__title\"\n\tdata-id=\"17e48ab2\"\n>\n\tDay 1<\/h2>\t\t\n\t\t<span class=\"block-accordion-item__wrap-icon\" aria-hidden=\"true\">\n\t\t\t<i class=\"icon block-accordion-item__icon\" data-id=\"51c18497\"  aria-hidden=\"true\">\n\t<svg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M13 5.5a1 1 0 1 0-2 0h2Zm-1.707 13.707a1 1 0 0 0 1.414 0l6.364-6.364a1 1 0 0 0-1.414-1.414L12 17.086l-5.657-5.657a1 1 0 0 0-1.414 1.414l6.364 6.364ZM11 5.5v13h2v-13h-2Z' fill='currentColor'\/><\/svg><\/i>\t\t<\/span>\n\t<\/button>\n\n\t<div role=\"region\" class=\"block-accordion-item__panel js-block-accordion-item-panel\" \n\t\taria-hidden=\"false\" \n\t\taria-labelledby=\"9621c216\" \n\t\tid=\"01123656\"\n\t>\n\t\t<div class=\"block-accordion-item__content\">\n\t\t\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"db693409\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-lists\" data-id=\"a297523f\">\n\t<ul\tclass=\"lists block-lists__lists\"\n\tdata-id=\"6b21c307\"\n>\n\t<li>Introduction to Bayesian statistics\u00a0<\/li><li>Bayes&#8217; Theorem\u00a0<\/li><li>Bayesian Coin Flipping\u00a0<\/li><li>The Bayesian Paradigm\u00a0<\/li><li>Introduction to PyMC3 and distributions\u00a0<\/li><li>Bayesian Modelling in practice\u00a0<\/li><li>Markov Chain Monte Carlo with PyMC3\u00a0<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<div class=\"block-accordion-item js-block-accordion-item\" \n\taria-expanded=\"false\"\n>\n\t<button class=\"block-accordion-item__trigger js-block-accordion-item-trigger\" \n\t\taria-label=\"Day 2\" \n\t\taria-controls=\"fb445cd9\" \n\t\taria-expanded=\"false\" \n\t\tid=\"7147d2c7\"\n\t>\n\t\t<h2\tclass=\"heading block-accordion-item__title\"\n\tdata-id=\"17cef917\"\n>\n\tDay 2<\/h2>\t\t\n\t\t<span class=\"block-accordion-item__wrap-icon\" aria-hidden=\"true\">\n\t\t\t<i class=\"icon block-accordion-item__icon\" data-id=\"304eb4e3\"  aria-hidden=\"true\">\n\t<svg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M13 5.5a1 1 0 1 0-2 0h2Zm-1.707 13.707a1 1 0 0 0 1.414 0l6.364-6.364a1 1 0 0 0-1.414-1.414L12 17.086l-5.657-5.657a1 1 0 0 0-1.414 1.414l6.364 6.364ZM11 5.5v13h2v-13h-2Z' fill='currentColor'\/><\/svg><\/i>\t\t<\/span>\n\t<\/button>\n\n\t<div role=\"region\" class=\"block-accordion-item__panel js-block-accordion-item-panel\" \n\t\taria-hidden=\"true\" \n\t\taria-labelledby=\"7147d2c7\" \n\t\tid=\"fb445cd9\"\n\t>\n\t\t<div class=\"block-accordion-item__content\">\n\t\t\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"5de8f6ad\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-lists\" data-id=\"19d99e0b\">\n\t<ul\tclass=\"lists block-lists__lists\"\n\tdata-id=\"cc8848b2\"\n>\n\t<li>Hackathon\u00a0<\/li><li>Case study: German Tank Problem\u00a0<\/li><li>Variational Inference\u00a0<\/li><li>Hierarchical Modeling\u00a0\u00a0<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"f1e47bbd\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-columns\" data-id=\"00953d2e\">\n\t\n\n<div class=\"block-column\" data-id=\"d8213388\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"86ccb8f6\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"d86894b7\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"ccc5dd02\"\n>\n\tThis training is for you if:<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"e6eb0438\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-bullet-list\">\n\t\t\t\t<div class=\"block-bullet-list__columns\">\n\t\t\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"7e2e496c\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"ff005b8f\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"1abee946\">\n\t<p data-pm-slice=\"1 1 [&quot;bulletList&quot;,null,&quot;listItem&quot;,null]\">You already understand basic statistics.<\/p><\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"f07541ea\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"b8f441f8\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"be91aa3a\">\n\tYou are interested in learning about Bayesian statistics and how it differs from the frequentist approach.<\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"33d73975\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"8fd2f710\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"e16d3ed2\">\n\tYou want to improve your visualisations so they help your audience understand the message. <\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n<div class=\"block-column\" data-id=\"3d958377\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"a56696cb\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"0df429e3\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"88201d84\"\n>\n\tThis training is not for you if:<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"3c338a43\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-bullet-list\">\n\t\t\t\t<div class=\"block-bullet-list__columns\">\n\t\t\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"436dc2b1\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"02125918\"  aria-hidden=\"true\">\n\t<svg width='20' height='20' viewBox='0 0 20 20' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M15 5L5.00103 14.999' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M15 14.998L5.00103 4.99907' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"fa8fd975\">\n\tYou are missing the fundamentals of statistics (check out our <a href=\"https:\/\/academy.xebia.com\/training\/abtesting-and-experiments-training\/\">A\/B Testing and Experiments<\/a> training instead)<\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"2b5f8751\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"7f16c651\"  aria-hidden=\"true\">\n\t<svg width='20' height='20' viewBox='0 0 20 20' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M15 5L5.00103 14.999' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M15 14.998L5.00103 4.99907' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"76245c1e\">\n\t<p data-pm-slice=\"1 1 [&quot;bulletList&quot;,null,&quot;listItem&quot;,null]\">You have never used Python before.<\/p><\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"a02f3c9a\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"0e367b86\"  aria-hidden=\"true\">\n\t<svg width='20' height='20' viewBox='0 0 20 20' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M15 5L5.00103 14.999' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M15 14.998L5.00103 4.99907' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"3e1407d9\">\n\tYou only want the basic concepts without going more deeply into statistics.<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"a0337f05\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"4d13eccb\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"504b200e\"\n>\n\tWhy should I follow this training?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"be5c2d2d\" \n\tdata-bg-on-inner=\"true\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-columns\" data-id=\"4e684d10\">\n\t\n\n<div class=\"block-column\" data-id=\"8343897e\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"5f1de2f0\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-icon\">\n\t<i class=\"icon block-icon__icon\" data-id=\"908cda8f\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"643636d8\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"6c306d2e\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"fe1c4dff\"\n>\n\t<strong>It is much more intuitive and easier to convey results to stakeholders without a technical background<\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n<div class=\"block-column\" data-id=\"beea3a4d\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"0bc42b91\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-icon\">\n\t<i class=\"icon block-icon__icon\" data-id=\"0324e066\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"46b3ad68\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"454b4a9d\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"642ebcc6\"\n>\n\t<strong><strong>Learn what Bayesian statistics is and how to apply it to real-world problems.\u00a0<\/strong><\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n<div class=\"block-column\" data-id=\"e24974d7\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"0cd679db\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-icon\">\n\t<i class=\"icon block-icon__icon\" data-id=\"7d931ad5\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' width='16' height='16' fill='currentColor' viewBox='0 0 16 16'><path d='M10.97 4.97a.75.75 0 0 1 1.07 1.05l-3.99 4.99a.75.75 0 0 1-1.08.02L4.324 8.384a.75.75 0 1 1 1.06-1.06l2.094 2.093 3.473-4.425a.267.267 0 0 1 .02-.022z'\/><\/svg><\/i><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"9e0f4946\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"a86088aa\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"6f6dce0e\"\n>\n\t<strong>Understand the theory of Bayesian Statistics<\/strong><\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"b9263d38\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-heading\" data-id=\"9ffcd4a7\">\n\t<h2\tclass=\"heading block-heading__heading\"\n\tdata-id=\"dbda8b73\"\n>\n\tWhat else <br>should I know?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"f34af491\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-columns\" data-id=\"2d566992\">\n\t\n\n<div class=\"block-column\" data-id=\"667fabdd\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"c773ca51\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-paragraph\" data-id=\"0e2656b3\">\n\t<p class=\"paragraph block-paragraph__paragraph\" data-id=\"7f662ff5\">\n\tAfter registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"94d1a4af\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-paragraph\" data-id=\"c6bb60ed\">\n\t<p class=\"paragraph block-paragraph__paragraph\" data-id=\"f4bcd68a\">\n\tSee you soon!<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n<div class=\"block-column\" data-id=\"0802ba71\">\n\t\n\n<div \n\tclass=\"wrapper wrapper--simple\" \n\tdata-id=\"8b5d14b4\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div class=\"block-bullet-list\">\n\t\t\t<p class=\"paragraph block-bullet-list__paragraph\" data-id=\"ecaa5ea3\">\n\tCourse information<\/p>\t<div class=\"block-bullet-list__columns\">\n\t\t\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"8b80647b\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"ebbe7ffa\"  aria-hidden=\"true\">\n\t<svg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M11.25 11.25C11.4489 11.25 11.6397 11.329 11.7803 11.4697C11.921 11.6103 12 11.8011 12 12V15.75C12 15.9489 12.079 16.1397 12.2197 16.2803C12.3603 16.421 12.5511 16.5 12.75 16.5' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M11.625 9C12.2463 9 12.75 8.49632 12.75 7.875C12.75 7.25368 12.2463 6.75 11.625 6.75C11.0037 6.75 10.5 7.25368 10.5 7.875C10.5 8.49632 11.0037 9 11.625 9Z' fill='currentColor'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"c661f6e1\">\n\tAll literature and course materials are included in the price.\u00a0<\/p><\/div>\n\n\n\n<div class=\"block-bullet-item js-block-bullet-item\" data-id=\"1d3ef8a8\">\n\t<i class=\"icon block-bullet-item__icon\" data-id=\"95c5ac29\"  aria-hidden=\"true\">\n\t<svg width='24' height='24' viewBox='0 0 24 24' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M11.25 11.25C11.4489 11.25 11.6397 11.329 11.7803 11.4697C11.921 11.6103 12 11.8011 12 12V15.75C12 15.9489 12.079 16.1397 12.2197 16.2803C12.3603 16.421 12.5511 16.5 12.75 16.5' stroke='currentColor' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M11.625 9C12.2463 9 12.75 8.49632 12.75 7.875C12.75 7.25368 12.2463 6.75 11.625 6.75C11.0037 6.75 10.5 7.25368 10.5 7.875C10.5 8.49632 11.0037 9 11.625 9Z' fill='currentColor'\/><\/svg><\/i><p class=\"paragraph block-bullet-item__paragraph\" data-id=\"a537d0d9\">\n\tAfter registering for this course, you will receive a confirmation email with practical information.<strong>\u202f<\/strong>\u00a0<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n<div \n\tclass=\"wrapper\" \n\tdata-id=\"ab39793b\" \n\tdata-bg-on-inner=\"false\" \n\t>\n\t\t\n\t\t\t<div class=\"wrapper__inner\">\n\t\t\t\n<div\n\tdata-id=\"3e3350d7\"\n\tclass=\"block-course-list js-block-course-list js-block-course-list-3e3350d7\"\n\t>\n\t<h2\tclass=\"heading block-course-list__heading\"\n\tdata-id=\"1a065f22\"\n>\n\tUpcoming courses<\/h2><a class=\"btn block-course-list__btn\" title=\"View all trainings\" data-id=\"34e5cc47\" href=\"https:\/\/academy.xebia.com\/us\/training\/\">\n\t\n\t\t\t<span>View all trainings<\/span>\n\t\n\t<\/a>\n\t<div class=\"block-course-list__slider-wrapper\">\n\t\t<div class=\"block-course-list__slider\">\n\t\t\t<div\n\t\t\t\tclass=\"block-course-list__swiper js-block-course-list-swiper swiper\"\n\t\t\t\tdata-allow-keyboard-controls=\"1\"\n\t\t\t>\n\t\t\t\t<div class=\"swiper-wrapper block-course-list__swiper-wrapper\">\n\t\t\t\t\t<div class=\"course-list-item swiper-slide js-tippy-container-isolated\" data-id=\"11e36a51\">\n\t<a class=\"btn course-list-item__btn course-list-item__heading-link\" title=\"MLOps on GCP\" data-id=\"987e06a6\" href=\"https:\/\/academy.xebia.com\/us\/training\/mlops-on-gcp\/\">\n\t\n\t\t\t<span>MLOps on GCP<\/span>\n\t\n\t<\/a><p class=\"paragraph course-list-item__paragraph\" data-id=\"3868db23\">\n\tWith this course, you will discover what MLOps is and how you can apply it in GCP (Google Cloud Platform). For example, you will learn more about Google Cloud&#8217;s Vertex AI, Cloud Run, and Cloud Function. This course is aimed at people with Python skills and general ML experience.<\/p>\t\t\n\t<div class=\"course-list-item__details-row\">\n\t\t<div class=\"tags course-list-item__tags js-tags\">\n\t\n\t\t<div class=\"tags__tag js-tags-tag tags__tag-show js-tags-tag-show\">\n\t\t\t<span >\t\t\tGoogle Cloud Platform (GCP)\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t<div class=\"tags__tag js-tags-tag\">\n\t\t\t<span >\t\t\tMachine Learning\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t<div class=\"tags__tag js-tags-tag\">\n\t\t\t<span data-training-meta-p-duration>\t\t\t1 day\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t<div class=\"tags__tag js-tags-tag\">\n\t\t\t<span >\t\t\tIn Person\t\t\t<\/span>\n\t\t<\/div>\n\n\t\t<button\tclass=\"btn tags__show-more js-tags-show-more\"\n\tdata-id=\"21b79e07\">\n\t<i class=\"icon btn__show-more\" data-id=\"1db04dcc\"  aria-hidden=\"true\">\n\t<svg xmlns='http:\/\/www.w3.org\/2000\/svg' fill='none' viewBox='0 0 25 24'><path stroke='currentColor' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M7 12h10M12 7v10'\/><\/svg><\/i>\n\t\n\t<\/button>\t<div class=\"tags__tippy-template js-tags-tippy-template\">\n\t\t<div class=\"tags__head\">\n\t\t\t<span><\/span>\n\t\t\t<button\tclass=\"btn tags__close js-tags-close\"\n\tdata-id=\"3ff7c381\">\n\t<i class=\"icon btn__close\" data-id=\"f4cbaeac\"  aria-hidden=\"true\">\n\t<svg width='20' height='20' viewBox='0 0 20 20' fill='none' xmlns='http:\/\/www.w3.org\/2000\/svg'><path d='M15 5L5.00103 14.999' stroke='#6A1D57' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><path d='M15 14.998L5.00103 4.99907' stroke='#6A1D57' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'\/><\/svg><\/i>\n\t\n\t<\/button>\t\t<\/div>\n\t<\/div>\n<\/div>\t\t\t<div class=\"course-list-item__date\">\n\t\t\t\t<p class=\"paragraph course-list-item__date-string\" data-id=\"d16e96e9\">\n\tNext:<\/p><p class=\"paragraph course-list-item__date-value\" data-id=\"c4ce8118\">\n\t26 Aug, 2026<\/p>\t\t\t<\/div>\n\t\t\t\t\t<div class=\"course-list-item__price\">\n\t\t\t\t<p class=\"paragraph course-list-item__price-string\" data-id=\"e344c95b\">\n\tFrom:<\/p><p class=\"paragraph course-list-item__price-value\" data-id=\"d3b49a90\">\n\t\u20ac1000<\/p>\t\t\t<\/div>\n\t\t<a class=\"btn course-list-item__btn\" title=\"View training\" data-id=\"a3b8e3ca\" href=\"https:\/\/academy.xebia.com\/us\/training\/mlops-on-gcp\/\">\n\t\n\t\t\t<span>View training<\/span>\n\t\n\t<\/a>\t<\/div>\n\n<\/div><div class=\"course-list-item swiper-slide js-tippy-container-isolated\" data-id=\"b2412551\">\n\t<h2\tclass=\"heading course-list-item__heading\"\n\tdata-id=\"83e3288a\"\n>\n\tCan\u2019t find the course you\u2019re looking for? 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