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Course Outline
Hari Pertama: Dasar-dasar Bahasa
- Pengantar Kursus
- Tentang Data Science
- Data Science Definisi
- Proses Melakukan Data Science.
- Memperkenalkan R Language
- Variabel dan Jenis
- Struktur Kontrol (Loop / Kondisional)
- R Scalars, Vektor, dan Matriks
- Mendefinisikan Vektor R
- Matriks
- Manipulasi String dan Teks
- Tipe data karakter
- Berkas IO
- Daftar
- Fungsi
- Memperkenalkan Fungsi
- Penutupan
- fungsi lapply/sapply
- Bingkai Data
- Laboratorium untuk semua bagian
Hari Kedua: Menengah R Programming
- Bingkai Data dan I/O File
- Membaca data dari file
- Persiapan Data
- Kumpulan Data Terintegrasi
- Visualisasi
- Paket Grafis
- plot() / barplot() / hist() / boxplot() / diagram sebar
- Peta Panas
- paket ggplot2 (qplot(), ggplot())
- Eksplorasi Dengan Dplyr
- Laboratorium untuk semua bagian
Requirements
- Latar belakang pemrograman dasar lebih disukai
Hadirin
- Analis data
14 Hours
Testimonials (5)
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Course - Foundation R
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course - Introduction to R with Time Series Analysis
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
