Đề cương khóa học
Ngày Một: Ngôn Ngữ Cơ Bản
- Giới thiệu khóa học
- Về Data Science
- Định nghĩa Data Science
- Quy trình thực hiện Data Science.
- Định nghĩa Vectors trong R
- Kiểu dữ liệu Character
- Giới thiệu Hàm
Ngày Hai: R Nâng Cao Programming
- DataFrames và File I/O
- Đọc dữ liệu từ file
- Chuẩn bị Dữ liệu
- Bộ Dữ Liệu Tích Hợp
- Trực quan hóa
- Gói Graphics
- plot() /barplot() / hist() /boxplot() /scatter plot
- Heat Map
- Gói ggplot2 (qplot(),ggplot())
Requirements
- Ưu tiên có kiến thức lập trình cơ bản
Đối tượng
- Chuyên viên phân tích dữ liệu
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!.