{"id":12892,"date":"2023-06-30T14:21:02","date_gmt":"2023-06-30T12:21:02","guid":{"rendered":"https:\/\/www.vita.sk\/?post_type=product&#038;p=12892"},"modified":"2026-10-16T17:50:35","modified_gmt":"2026-10-16T15:50:35","slug":"online-kurz-data-science-ii-mierne-pokrocily","status":"publish","type":"product","link":"https:\/\/www.vita.sk\/cs\/online-kurz-data-science-ii-mierne-pokrocily\/","title":{"rendered":"Online kurz Data Science II. Mierne Pokro\u010dil\u00fd"},"content":{"rendered":"<p>Online kurz Data Science II. Mierne Pokro\u010dil\u00fd je pre v\u00e1s ide\u00e1lny, ak chcete preh\u013abi\u0165 spracovanie, \u0161tatistick\u00e9 vyhodnocovanie a vizualiz\u00e1ciu \u00fadajov pomocou R a Pythonu. <strong>Ide o certifikovan\u00fd online kurz na Data Science a anal\u00fdzu d\u00e1t.<\/strong> Prepoj\u00edme pr\u00e1cu s datasetmi, programovanie a interpret\u00e1ciu v\u00fdsledkov s praktick\u00fdmi analytick\u00fdmi \u00falohami. Predpoklad\u00e1me znalos\u0165 jazykov R a Python pribli\u017ene na mierne pokro\u010dilej \u00farovni a orient\u00e1ciu v z\u00e1kladn\u00fdch \u0161tatistick\u00fdch pojmoch. V R sa zameriame na bal\u00ed\u010dky, d\u00e1tov\u00e9 r\u00e1mce, matice, d\u00e1tumy a kvalitat\u00edvne premenn\u00e9. Precvi\u010d\u00edme si import a export \u00fadajov, frekven\u010dn\u00e9 tabu\u013eky a s\u00fahrnn\u00e9 charakteristiky d\u00e1t. Vysvetl\u00edme si aritmetick\u00fd, geometrick\u00fd a harmonick\u00fd priemer aj jednov\u00fdberov\u00fd a dvojv\u00fdberov\u00fd t-test. Z\u00edskan\u00e9 postupy vyu\u017eijete pri analytickej pr\u00e1ci, v\u00fdskume, reportingu aj vyhodnocovan\u00ed firemn\u00fdch \u00fadajov.<\/p>\n<p>&nbsp;<\/p>\n<p>Data Science II rozv\u00edja aj pr\u00e1cu s Pythonom a kni\u017enicou Pandas. Uk\u00e1\u017eeme si valid\u00e1ciu a normaliz\u00e1ciu d\u00e1t, spracovanie re\u0165azcov a kolekci\u00ed a praktick\u00fd ETL projekt, v ktorom prepoj\u00edme z\u00edskavanie, transform\u00e1ciu a ukladanie \u00fadajov. V Matplotlib a Plotly vytvor\u00edme grafick\u00e9 v\u00fdstupy vr\u00e1tane st\u013apcov\u00fdch grafov a kartogramov. Pri programovan\u00ed sa budeme venova\u0165 triedam, statick\u00fdm met\u00f3dam, vlastnostiam, duck typingu, typov\u00fdm anot\u00e1ci\u00e1m, generik\u00e1m a dokument\u00e1cii pomocou docstringov. Spozn\u00e1me aj vyu\u017eitie cacheovania pri opakovan\u00fdch oper\u00e1ci\u00e1ch. Analytick\u00fa \u010das\u0165 dopln\u00edme pr\u00e1cou s KPI, segmentmi a reportmi v Google Analytics 4, webovou analytikou Matomo a vybran\u00fdmi funkciami Power BI. Obozn\u00e1mime sa s pou\u017eit\u00edm SQL nad d\u00e1tami v R prostredn\u00edctvom bal\u00ed\u010dka sqldf. S\u00fa\u010das\u0165ou je tie\u017e \u00favod do princ\u00edpov strojov\u00e9ho u\u010denia.<\/p>\n<p>&nbsp;<\/p>\n<p>Kurz absolvujete plne online, v sloven\u010dine a vlastn\u00fdm tempom. Ro\u010dn\u00fd pr\u00edstup v\u00e1m umo\u017en\u00ed vraca\u0165 sa k jednotliv\u00fdm vide\u00e1m, opakova\u0165 si n\u00e1ro\u010dnej\u0161ie postupy a priebe\u017ene ich sk\u00fa\u0161a\u0165 na vlastn\u00fdch datasetoch. Pri \u0161t\u00fadiu vyu\u017eijete prezent\u00e1ciu, \u0165ah\u00e1ky a materi\u00e1ly na stiahnutie. Odpor\u00fa\u010dame samostatne upravova\u0165 uk\u00e1\u017ekov\u00fd k\u00f3d, kontrolova\u0165 v\u00fdsledky v\u00fdpo\u010dtov a porovn\u00e1va\u0165 vhodnos\u0165 r\u00f4znych grafick\u00fdch zobrazen\u00ed. V\u00fdklad m\u00f4\u017eete sledova\u0165 aj na mobile alebo tablete, praktick\u00e9 programovanie si precvi\u010d\u00edte na po\u010d\u00edta\u010di. Z\u00edskan\u00e9 vedomosti si over\u00edte v z\u00e1vere\u010dnom teste a po splnen\u00ed podmienok absolvovania z\u00edskate certifik\u00e1t VITA. Ak sa chcete skuto\u010dne nau\u010di\u0165 analyzova\u0165, spracov\u00e1va\u0165 a vizualizova\u0165 d\u00e1ta pomocou R a Pythonu, tak toto je ide\u00e1lny vstupn\u00fd online kurz pre v\u00e1s.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Online kurz Data Science II. Mierne Pokro\u010dil\u00fd rozv\u00edja \u0161tatistick\u00e9 vyhodnocovanie \u00fadajov v R, spracovanie d\u00e1t v Pythone a tvorbu grafov pomocou Matplotlib a Plotly. Precvi\u010d\u00edme si Pandas, ETL, t-testy, KPI a webov\u00fa analytiku v GA4 a Matomo.","protected":false},"author":4,"featured_media":4345,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[399,706,49,73],"product_tag":[1565,1841,188,212,707,1055,1060,1117,1146,1329,1359],"class_list":{"0":"post-12892","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-online-kurzy-analyza-dat","7":"product_cat-online-kurzy-datascience","8":"product_cat-online-kurzy-databazy-statistika-analytika","9":"product_cat-bez-kategorie","10":"product_tag-plotly","11":"product_tag-etl","12":"product_tag-databazy-a-analytika","13":"product_tag-python","14":"product_tag-statistika","15":"product_tag-data-science","16":"product_tag-pandas","17":"product_tag-power-bi","18":"product_tag-webova-analytika","19":"product_tag-matplotlib","20":"product_tag-r","22":"first","23":"instock","24":"sale","25":"virtual","26":"sold-individually","27":"taxable","28":"purchasable","29":"product-type-simple"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.0 (Yoast SEO v25.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Online kurz Data Science II. 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Mierne pokro\u010dil\u00fd v\u00e1s nau\u010d\u00ed pokro\u010dilej\u0161ie techniky anal\u00fdzy d\u00e1t a modelovania pre hlb\u0161iu anal\u00fdzu \u00fadajov. \u2705\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vita.sk\/online-kurz-data-science-ii-mierne-pokrocily\/\" \/>\n<meta property=\"og:site_name\" content=\"VITA\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/VitaAcademySK\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-16T15:50:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vita.sk\/wp-content\/uploads\/2020\/11\/kurz_datascience.png\" \/>\n\t<meta property=\"og:image:width\" content=\"360\" \/>\n\t<meta property=\"og:image:height\" content=\"360\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Odhadovan\u00e1 doba \u010dten\u00ed\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\/\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"https:\/\/www.vita.sk\/online-kurz-data-science-ii-mierne-pokrocily\/\",\n\t            \"url\": \"https:\/\/www.vita.sk\/online-kurz-data-science-ii-mierne-pokrocily\/\",\n\t            \"name\": \"Online kurz Data Science II. 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