Master Data Analysis ne Linkedin Kudzidza

Kudzidza kuongorora data kwakakosha munyika yanhasi yedhijitari. Omar Souissi anopa kudzidziswa kwakazara kugona iyi ndima. "Kudzidza Dhata Kuongorora: 1 Nheyo" kosi yakakosha kune wese munhu.

Kudzidziswa kunotanga netsanangudzo yekuongorora data. Mr Souissi vanojekesa basa remuongorori we data. Iyi sumo yakakosha pakunzwisisa matambudziko ebasa. Inobva yaongorora pfungwa yevashandi ve data. Ichi chikamu chinowedzera maonero emabasa e data. Basa rega rega rakakosha mukubudirira kwedata uye analytics timu.

Murairidzi anozopa akasiyana data sainzi maprofessionals. Kusiyana uku kunoratidza kupfuma kwemunda. Unyanzvi hwesaenzi wedata hwakatsanangurwa, huchipa maonero akajeka ezvinodiwa.

Kunzwisisa data imbiru yekudzidziswa. Minda uye marudzi e data anodzidziswa. Ruzivo urwu rwakakosha kuti ushandise data nemazvo.

Inosanganisirawo kushandiswa kwekushanda uye mabasa. Zvishandiso izvi zvakakosha pakugadzira data nyowani. Basic syntax uye mirairo inotsanangurwa zvakajeka.

Maekisesaizi anoshanda nematambudziko

Kudzidziswa kunosanganisira matambudziko anoshanda, akadai sekuverenga SQL. Zviitwa izvi zvinosimbisa hunyanzvi hunowanikwa. Mhinduro dzakapihwa dzinobatsira kubatanidza kudzidza. Mr. Souissi vanotungamirira vadzidzi mukududzirwa kwe data iripo. Kutsvaga uye kuchenesa data chinhu chakakosha. Iyo inoratidza manzwisisiro e data uye yakabatana mafambiro ebasa.

Majoini ndeimwe nyaya yakakosha. Dzidzo inotsanangura kushandiswa kwavo mukuongorora data. Unyanzvi uhu hwakakosha pakubatanidza kwakasiyana data masosi. Iyo CRSP-DM nzira inounzwa. Iyi nzira inogadzirisa kuongororwa kwedata. Mazano anogoverwa kudzivirira kukanganisa kwakajairika.

Web scraping neExcel inyaya ine hunyanzvi. Isu tinokuratidza maitiro ekubatanidza ETL data. Kucheneswa kwedata neExcel macros uye Power Query yakavharwa zvakare.

Data modelling nePower Pivot hunyanzvi hwepamusoro. Dzidzo inotsigira vadzidzi kuburikidza nekushandiswa kwezviratidzo zvekushanda zvakakosha. Zvishandiso izvi zvakakosha pakuongorora kunoshanda kwedata.

Mukupedzisa, iyi dzidziso igwara rakazara kune chero munhu anoda hunyanzvi kuongorora data. Inopa hwaro hwakasimba hwekuongorora uye kushandiswa kwedata mumamiriro akasiyana ehunyanzvi.

Decode Mutauro weData: Makiyi eKunyatsoongorora

Mutauro wedata wakakosha kune analytics yemazuva ano. Kunzwisisa mutauro uyu kunovhura mikova yenzwisiso inokosha. Ichi chinyorwa chinoongorora zvakakosha zvekunyatso decoding data.

Kuongorora kwedata kunotanga nekunzwisisa marudzi e data. Rudzi rumwe norumwe rune zvarwo uye mashandisirwo. Kunzwisisa uku kwakakosha pakuongorora kwakakodzera.

Basic data mashandiro ndeimwe mbiru. Zvinosanganisira kuronga, kusefa uye kuunganidza. Kugona mashandiro aya kunotendera iwe kuti ushandise data zviri nyore.

Mabasa epamberi, sekuverenga manhamba, akakosha. Vanoratidza maitiro uye maitiro. Aya mabasa anoshandura data raw kuita zvinobatika.

Kududzira data inyanzvi. Kuziva kuverenga nekunzwisisa data chinhu chakakosha. Unyanzvi uhwu hwakakosha pakuita mhedziso dzakavimbika.

Kuona data kunoita basa guru. Vanoshandura data yakaoma kuita mifananidzo inonzwisisika. Aya maonesheni anoita kuti zvive nyore kutaurirana mhinduro.

Data modelling inhanho yepamusoro. Inosanganisira kushandiswa kwezvishandiso sePower Pivot. Zvishandiso izvi zvinobatsira kugadzira mamodheru ekufungidzira uye zvakadzama analytics.

Kunyora mutauro wedata hunyanzvi hwakakosha. Inobvumira data kushandurwa kuita zvisarudzo zvine ruzivo. Munyika inotungamirwa nedata, uku kugona chinhu chikuru kune chero nyanzvi.

Mafambiro muData Sayenzi: Izvo Zvinodiwa Nese Nyanzvi Kuziva

Sainzi yedata iri kubuda nekukurumidza, ichiunza mikana mitsva. Artificial intelligence uye muchina kudzidza kunotonga nyika. Kubatanidzwa kwavo musainzi yedata kunovhura mikana isingaperi. Uku kubatanidzwa mutyairi wekuvandudza.

Data huru inoramba ichikura mukukosha. Iko kugona kubata hombe data seti kwakakosha. Uku kutungamira kunoita kuti zvikwanise kuburitsa pachena zvakavanzika. Otomatiki mukuongorora data iri kuwedzera zvakare. Zvishandiso zvemagetsi zvinowedzera kushanda zvakanaka uye kuderedza zvikanganiso. Iyi otomatiki inochengetedza yakakosha nguva.

Unyanzvi hwekuona data hwakanyanya kudiwa kupfuura nakare kose. Vanobvumira data yakaoma kuti iunzwe nenzira inonzwisisika. Unyanzvi uhwu hwakakosha pakukurukurirana. Ethical data sainzi iri kuita nyaya inopisa. Vashandi vanofanirwa kuziva nezvehutsika hwebasa ravo. Kuziva uku kwakakosha pakuita zvine mutsindo.

Kudzidza kwakadzama inzira inoenderera. Inopa advanced analytics kugona. Kugona iyi tekinoroji chinhu chakakosha kune nyanzvi. Sainzi yedata iri kushandura chikamu chese. Kubva kuhutano kusvika kumari, kukanganisa kwayo kune pasi rose. Shanduko iyi ibhindauko mukuita sarudzo.

Unyanzvi hwesainzi hwe data hwava chinjikira. Ivo havachaganhurirwi kune data masayendisiti. Vese nyanzvi vanogona kubatsirwa nehunyanzvi uhu.

Kugara uchifambirana neazvino maitiro kwakakosha. Munyika inotungamirwa nedata, ruzivo urwu rwakakosha.

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