{"id":1535,"date":"2024-11-21T13:39:09","date_gmt":"2024-11-21T12:39:09","guid":{"rendered":"https:\/\/shop.uni-pannon.hu\/?post_type=product&#038;p=1535"},"modified":"2026-02-09T12:41:26","modified_gmt":"2026-02-09T11:41:26","slug":"adatelemzes-python-kornyezetben-2","status":"publish","type":"product","link":"https:\/\/shop.uni-pannon.hu\/hu\/termek\/adatelemzes-python-kornyezetben-2\/","title":{"rendered":"Adatelemz\u00e9s Python k\u00f6rnyezetben"},"content":{"rendered":"<p>A k\u00e9pz\u00e9s elv\u00e9gz\u00e9s\u00e9vel a r\u00e9sztvev\u0151k k\u00e9pess\u00e9 v\u00e1lnak:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A Python programoz\u00e1si nyelv alapjainak magabiztos alkalmaz\u00e1s\u00e1ra, k\u00fcl\u00f6n\u00f6s tekintettel az adatelemz\u00e9si feladatokra.<\/li>\n\n\n\n<li>Adatok hat\u00e9kony import\u00e1l\u00e1s\u00e1ra, export\u00e1l\u00e1s\u00e1ra, \u00e1talak\u00edt\u00e1s\u00e1ra \u00e9s feldolgoz\u00e1s\u00e1ra, az el\u00e9rhet\u0151 form\u00e1tumok k\u00f6z\u00f6tti konverzi\u00f3t is bele\u00e9rtve.<\/li>\n\n\n\n<li>A numpy \u00e9s pandas csomagok haszn\u00e1lat\u00e1ra, bele\u00e9rtve az adatt\u00e1bl\u00e1k kezel\u00e9s\u00e9t, szeletel\u00e9s\u00e9t, sz\u0171r\u00e9s\u00e9t, \u00e9s \u00f6sszekapcsol\u00e1s\u00e1t, valamint adatok csoportos\u00edt\u00e1s\u00e1t \u00e9s \u00f6sszegz\u00e9s\u00e9t.<\/li>\n\n\n\n<li>Adatel\u0151k\u00e9sz\u00edt\u00e9si technik\u00e1k alkalmaz\u00e1s\u00e1ra, p\u00e9ld\u00e1ul hi\u00e1nyz\u00f3 vagy redund\u00e1ns adatok kezel\u00e9s\u00e9re, sz\u00e1rmaztatott \u00e9rt\u00e9kek kialak\u00edt\u00e1s\u00e1ra \u00e9s adatkonverzi\u00f3kra.<\/li>\n\n\n\n<li>Alapvet\u0151 statisztikai elemz\u00e9sek elv\u00e9gz\u00e9s\u00e9re, bele\u00e9rtve le\u00edr\u00f3 statisztik\u00e1k k\u00e9sz\u00edt\u00e9s\u00e9t \u00e9s adatok \u00f6sszef\u00fcgg\u00e9seinek vizsg\u00e1lat\u00e1t.<\/li>\n\n\n\n<li>Adatvizualiz\u00e1ci\u00f3s m\u00f3dszerek haszn\u00e1lat\u00e1ra, k\u00fcl\u00f6nf\u00e9le diagramok \u00e9s grafikonok l\u00e9trehoz\u00e1s\u00e1ra a matplotlib \u00e9s seaborn csomagok seg\u00edts\u00e9g\u00e9vel.<\/li>\n\n\n\n<li>Egyszer\u0171 regresszi\u00f3s modellek fel\u00e9p\u00edt\u00e9s\u00e9re \u00e9s \u00e9rtelmez\u00e9s\u00e9re, ide\u00e9rtve a line\u00e1ris \u00e9s polinomi\u00e1lis regresszi\u00f3t, valamint interpol\u00e1ci\u00f3s \u00e9s extrapol\u00e1ci\u00f3s feladatokat.<\/li>\n\n\n\n<li>Az oszt\u00e1lyoz\u00e1s alapfogalmainak megismer\u00e9s\u00e9re, valamint d\u00f6nt\u00e9si f\u00e1k l\u00e9trehoz\u00e1s\u00e1ra, \u00e1br\u00e1zol\u00e1s\u00e1ra \u00e9s \u00e9rtelmez\u00e9s\u00e9re a g\u00e9pi tanul\u00e1si technik\u00e1k bevezet\u0151 szintj\u00e9n.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Kinek aj\u00e1nljuk<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Adatelemz\u0151knek \u00e9s adatkutat\u00f3knak, akik hat\u00e9kony eszk\u00f6z\u00f6ket keresnek az adatok feldolgoz\u00e1s\u00e1hoz, elemz\u00e9s\u00e9hez \u00e9s vizualiz\u00e1l\u00e1s\u00e1hoz.<\/li>\n\n\n\n<li>IT-szakembereknek, akik b\u0151v\u00edteni szeretn\u00e9k tud\u00e1sukat automatiz\u00e1l\u00e1si, webfejleszt\u00e9si vagy szoftverfejleszt\u00e9si ter\u00fcleteken.<\/li>\n\n\n\n<li>M\u00e9rn\u00f6k\u00f6knek \u00e9s kutat\u00f3knak, akik adatokkal dolgoznak, modelleznek vagy szimul\u00e1ci\u00f3kat v\u00e9geznek.<\/li>\n\n\n\n<li>Di\u00e1koknak, akik informatikai, matematikai vagy m\u00e1s term\u00e9szettudom\u00e1nyos ter\u00fcleteken tanulnak, \u00e9s programoz\u00e1si ismeretekre van sz\u00fcks\u00e9g\u00fck.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">A k\u00e9pz\u00e9s tematik\u00e1ja<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A Python nyelv alapjai.<\/li>\n\n\n\n<li>Adatok import\u00e1l\u00e1sa, export\u00e1l\u00e1sa \u00e9s konverzi\u00f3ja.<\/li>\n\n\n\n<li>A numpy, \u00e9s a pandas csomag. Dataframe-ek kezel\u00e9se, adatok \u00f6sszekapcsol\u00e1sa, rendez\u00e9se. Adatt\u00e1bl\u00e1k szeletel\u00e9se, sz\u0171r\u00e9se, konverzi\u00f3ja. Keres\u00e9s az adatok k\u00f6z\u00f6tt.<\/li>\n\n\n\n<li>Adatok csoportos\u00edt\u00e1sa, \u00f6sszegz\u0151 f\u00fcggv\u00e9nyek.<\/li>\n\n\n\n<li>Adatel\u0151k\u00e9sz\u00edt\u00e9si technik\u00e1k: hi\u00e1nyz\u00f3 \u00e9s redund\u00e1ns adatok kezel\u00e9se; adatkonverzi\u00f3s technik\u00e1k; sz\u00e1rmaztatott \u00e9rt\u00e9kek kialak\u00edt\u00e1sa.<\/li>\n\n\n\n<li>Adatok statisztikai elemz\u00e9se: alapvet\u0151 le\u00edr\u00f3 statisztik\u00e1k k\u00e9sz\u00edt\u00e9se, adatok \u00f6sszef\u00fcgg\u00e9s\u00e9nek vizsg\u00e1lata.<\/li>\n\n\n\n<li>Adatvizualiz\u00e1ci\u00f3: k\u00fcl\u00f6nf\u00e9le diagramok l\u00e9trehoz\u00e1sa a matplotlib \u00e9s seaborn csomagokkal.<\/li>\n\n\n\n<li>Regresszi\u00f3s modellek: line\u00e1ris \u00e9s polinomi\u00e1lis regresszi\u00f3. Interpol\u00e1ci\u00f3 \u00e9s extrapol\u00e1ci\u00f3<\/li>\n\n\n\n<li>Betekint\u00e9s az oszt\u00e1lyoz\u00e1sba (mint adatalap\u00fa g\u00e9pi tanul\u00e1sba): d\u00f6nt\u00e9si f\u00e1k \u00e9p\u00edt\u00e9se, \u00e1br\u00e1zol\u00e1sa \u00e9s \u00e9rtelmez\u00e9se.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">A k\u00e9pz\u00e9s r\u00e9szv\u00e9teli felt\u00e9telei (szakmai el\u0151k\u00e9pzetts\u00e9g)<\/h3>\n\n\n\n<p>Programoz\u00e1si alapismeretek.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Tervezett \u00fctemez\u00e9s<\/h3>\n\n\n\n<p>Egy f\u00e9l\u00e9v, 4*6 \u00f3r\u00e1s blokkokban.<\/p>","protected":false},"excerpt":{"rendered":"<p>A k\u00e9pz\u00e9s elv\u00e9gz\u00e9s\u00e9vel a r\u00e9sztvev\u0151k k\u00e9pess\u00e9 v\u00e1lnak: Kinek aj\u00e1nljuk A k\u00e9pz\u00e9s tematik\u00e1ja A k\u00e9pz\u00e9s r\u00e9szv\u00e9teli felt\u00e9telei (szakmai el\u0151k\u00e9pzetts\u00e9g) Programoz\u00e1si alapismeretek. Tervezett \u00fctemez\u00e9s Egy f\u00e9l\u00e9v, 4*6 \u00f3r\u00e1s blokkokban.<\/p>","protected":false},"featured_media":2455,"template":"","meta":{"_acf_changed":true},"product_brand":[],"product_cat":[56,44,68,73],"product_tag":[64,66,60],"class_list":{"0":"post-1535","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-adult-education","7":"product_cat-faculty-of-information-technology","8":"product_cat-hungarian","9":"product_cat-science-and-technology","10":"product_tag-hybrid","11":"product_tag-in-person","12":"product_tag-online","14":"first","15":"instock","16":"virtual","17":"sold-individually","18":"taxable","19":"purchasable","20":"product-type-simple"},"acf":[],"_links":{"self":[{"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/product\/1535","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/media\/2455"}],"wp:attachment":[{"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/media?parent=1535"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/product_brand?post=1535"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/product_cat?post=1535"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/shop.uni-pannon.hu\/hu\/wp-json\/wp\/v2\/product_tag?post=1535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}