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Uvod u R za programere Tečaj i certifikaciju

Uvod u R za programere Tečaj i certifikaciju

Opis

Publika i preduvjeti

Sadržaj tečaja

Raspored i pristojbe

potvrda

Uvod u R za programere Pregled predmeta

R je skriptni jezik za statističku manipulaciju i analizu podataka. Na njemu je nadahnut i uglavnom kompatibilan statistički jezik S kojeg je razvio AT & T. Ime S, očigledno stoji u statistici, bila je aluzija na drugi programski jezik razvijen u AT & T-u s jednim slovnim imenom C. S kasnije je prodan maloj tvrtki koja je dodala GUI sučelje i imenovala rezultat S- Plus. R je postao popularniji od S / S-Plus, i zato što je besplatan i zato što više ljudi pridonosi. R se ponekad naziva GNU S.

Ciljevi R programskog osposobljavanja

  • implementacija javno-domene široko razmatranog S statističkog jezika; R / S je de facto standard među profesionalnim statističarima
  • usporedivih i često superiornijih, na snazi ​​komercijalnim proizvodima u većini osjetila
  • dostupno za Windows, Macove, Linux
  • Pored omogućavanja statističkih operacija, to je opći programski jezik, tako da možete automatizirati svoje analize i stvoriti nove funkcije
  • objektno orijentirana i funkcionalna struktura programiranja
  • vaši se skupovi podataka spremaju između sesija, tako da svaki put ne morate ponovno učitavati
  • otvorena softverska priroda znači da je lako dobiti pomoć od korisničke zajednice, a mnoge nove funkcije pridonose korisnicima, od kojih su mnogi istaknuti statističari

Preduvjeti za R programiranje Certifikacija

Jedini pravi preduvjet je da imate neki programski doživljaj; ne trebate biti stručni programeri, iako stručnjaci trebaju pronaći materijal prikladan za njihovu razinu.Osimbeno će biti nekih primjedbi namijenjenih profesionalnim programerima, recimo o objektno orijentiranom programiranju ili Pythonu, no te primjedbe neće učiniti tretman nedostupni onima koji imaju samo umjerenu pozadinu u programiranju.

Course Outline Duration: 3 Days

  1. Pregled
    • Povijest R
    • Prednosti i nedostatci
    • Preuzimanje i instaliranje
    • Kako pronaći dokumentaciju
  2. Uvod
    • Korištenje konzole R
    • Dobivanje pomoći
    • Učenje o okolišu
    • Pisanje i izvršavanje skripti
    • Spremanje vašeg posla
  3. Instalacija paketa
    • Pronalaženje resursa
    • Instaliranje resursa
  4. Strukture podataka, varijable
    • Varijable i dodjela
    • Tipovi podataka
    • Indeksiranje, pretplata
    • Pregled podataka i sažetaka
    • Imenovanje konvencija
    • objekti
  5. Dobivanje podataka u R okruženju
    • Ugrađeni podaci
    • Čitanje podataka iz strukturiranih tekstualnih datoteka
    • Čitanje podataka pomoću ODBC-a
  6. Kontrolni tijek
    • Ispitivanje istine
    • Grananje
    • petlje
    • Vektorizirani izračuni
  7. Funkcije u dubini
    • Parametri
    • Povratne vrijednosti
    • Varijabilni opseg
    • Rukovanje iznimkama
  8. Rukovanje datumima u R
    • Datumi i datum-vrijeme u R
    • Oblikovanje datuma za modeliranje
  9. Opisne statistike
    • Kontinuirani podaci
    • Kategorijski podaci
  10. Inferencijalne statistike
    • Bivarijantna korelacija
    • T-test i neparametarski ekvivalenti
    • Chi-kvadrat test
    • Ispitivanje distribucije
    • Ispitivanje snage
  11. Grupiranje prema izračunima
    • Split primjenjuje strategiju kombinacije
  12. Baza grafike
    • Osnovni grafički sustav u R
    • Scatterplots, histogrami, barcharts, box i whiskers, dotplots
    • Oznake, legende, Naslovi, Osovine
    • Izvođenje grafike u različite formate
  13. Napredne grafičke grafike: GGPlot2
    • Razumijevanje gramatike grafike
    • Brza funkcija crteža
    • Izgradnja grafikona po komadima
  14. Linearna regresija
    • Linearni modeli
    • Regresijske parcele
    • Zbunjujuća / interakcija u regresiji
    • Učitavanje novih podataka s modela (predviđanje)

Obratite nam se na info@itstechschool.com i kontaktirajte nas na + 91-9870480053 za troškove tečaja i troškove certifikacije, raspored i lokaciju

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