課程介紹

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we b

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哪些人適合這堂課？

• This course is for you if you want to learn how to program in R
• This course is for you if you are tired of R courses that are too complicated
• This course is for you if you want to learn R by doing
• This course is for you if you like exciting challenges
• You WILL have homework in this course so you have to be prepared to work on it

學習目標

• Learn to program in R at a good level
• Learn how to use R Studio
• Learn the core principles of programming
• Learn how to create vectors in R
• Learn how to create variables
• Learn about integer, double, logical, character and other types in R
• Learn how to create a while() loop and a for() loop in R
• Learn how to build and use matrices in R
• Learn the matrix() function, learn rbind() and cbind()
• Learn how to install packages in R
• Learn how to customize R studio to suit your preferences
• Understand the Law of Large Numbers
• Understand the Normal distribution
• Practice working with statistical data in R
• Practice working with financial data in R
• Practice working with sports data in R

課程介紹

If you have decided to learn R as your data science programming language, you have made an excellent decision!  

R is the most widely used tool for statistical programming. It is powerful, versatile and easy to use. It is the first choice for thousa

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哪些人適合這堂課？

• Wannabe data scientists
• Academic researchers
• Doctoral researchers
• Students
• Anyone who wants to master R

學習目標

• Work with vectors, matrices and lists
• Work with factors
• Manage data frames
• Write complex programming structures (loops and conditional statements)
• Build their own functions and binary operations
• Work with strings
• Create charts in base R

課程介紹

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most

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哪些人適合這堂課？

• Anyone interested in becoming a Data Scientist

學習目標

• Program in R
• Use R for Data Analysis
• Create Data Visualizations
• Use R to handle csv,excel,SQL files or web scraping
• Use R to manipulate data easily
• Use R for Machine Learning Algorithms
• Use R for Data Science

課程介紹

Ready to take your R Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R?

This course is for you!

Professional R Video training, unique datasets designed with years of industry experience in m

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哪些人適合這堂課？

• Anybody who has basic R knowledge and would like to take their skills to the next level
• Anybody who has already completed the R Programming A-Z course
• This course is NOT for complete beginners in R

學習目標

• Perform Data Preparation in R
• Identify missing records in dataframes
• Locate missing data in your dataframes
• Apply the Median Imputation method to replace missing records
• Apply the Factual Analysis method to replace missing records
• Understand how to use the which() function
• Know how to reset the dataframe index
• Work with the gsub() and sub() functions for replacing strings
• Explain why NA is a third type of logical constant
• Deal with date-times in R
• Convert date-times into POSIXct time format
• Create, use, append, modify, rename, access and subset Lists in R
• Understand when to use [] and when to use [[]] or the $ sign when working with Lists
• Create a timeseries plot in R
• Understand how the Apply family of functions works
• Recreate an apply statement with a for() loop
• Use apply() when working with matrices
• Use lapply() and sapply() when working with lists and vectors
• Add your own functions into apply statements
• Nest apply(), lapply() and sapply() functions within each other
• Use the which.max() and which.min() functions

課程介紹

R Programming for Statistics and Data Science 2021

R Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn’t you?  Data scientist is the hottest ranked profession in the

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哪些人適合這堂課？

• Aspiring data scientists
• Beginners to programming
• People interested in statistics and data analysis
• Anyone who wants to learn how to code and apply their skills in practice

學習目標

• Learn the fundamentals of programming in R
• Work with R’s conditional statements, functions, and loops
• Build your own functions in R
• Get your data in and out of R
• Learn the core tools for data science with R
• Manipulate data with the Tidyverse ecosystem of packages
• Systematically explore data in R
• The grammar of graphics and the ggplot2 package
• Visualise data: plot different types of data & draw insights
• Transform data: best practices of when and how
• Index, slice, and subset data
• Learn the fundamentals of statistics and apply them in practice
• Hypothesis testing in R
• Understand and carry out regression analysis in R
• Work with dummy variables
• Learn to make decisions that are supported by the data!
• Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets

課程介紹

Are you new to R?

Do you want to learn more about statistical programming?

Are you in a quantitative field?

You just started learning R but you struggle with all the free but unorganized material available elsewhere?

Do you want to hack the lear

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哪些人適合這堂課？

• scientists
• data analysts
• entrepreneurs
• web developers
• anybody interested in statistical programming

學習目標

• this course will show you how the most common types of graphs can be produced with R base
• you will get a good understanding of functions and loops in R which are very useful programming skills to have
• you will get the necessary theoretical background for R
• you will learn how to create and handle different types of objects
• you will get fluent in the R programming language to master your specific quantitative tasks

課程介紹

Understand the Now – Predict the Future!

Time series analysis and forecasting is one of the key fields in statistical programming. It allows you to

see patterns in time series data
model this data
finally make forecasts based on those models

Due t

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哪些人適合這堂課？

• this course is for people working with time series data
• this course is for people interested in R
• this course is for people with some beginner knowledge in both R programming and statistics
• this course is for people working in various fields like (and not limited to): academia, marketing, business, econometrics, finance, medicine, engineering and science
• generally if you have time series data on your table and you do not know what to do with it, take this course!

學習目標

• use R to perform calculations with time and date based data
• create models for time series data
• use models for forecasting
• identify which models are suitable for a given dataset
• visualize time series data
• transform standard data into time series format
• clean and pre-process time series
• create ARIMA and exponential smoothing models
• know how to interpret given models
• identify the best time series libraries for a given problem
• compare the accuracy of different models

課程介紹

Perform simple or complex statistical calculations using R Programming! – You don’t need to be a programmer for this

Learn statistics, and apply these concepts in your workplace using R.

The course will teach you the basic concepts related to St

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哪些人適合這堂課？

• Anyone who want to use statistics to make fact based decisions.
• Anyone who wants to learn R and R Studio for career in data science.
• Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.

學習目標

• You will first learn the basic statistical concepts, followed by application of these concepts using R Studio. This course is a nice combination of theory and practice.
• Descriptive Statistics – Mean, Mode, Median, Skew, Kurtosis
• Inferential Statistics – One and two sample z, t, Chi Square, F Tests, ANOVA, TukeyHSD and more.
• Probability Distributions – Normal, Binomial and Poisson
• You will learn R programming from the beginning level.

課程介紹

這門課程是「成為初級資料分析師」的其中一門課，在 16.5 小時的教學影片之中內容包含這些主題：

===程式設計===

關於

起步走

運算符與向量

流程控制：條件判斷

流程控制：while 迴圈

向量操作

流程控制：for 迴圈

其他資料結構

程式封裝：自訂函數

===資料科學應用===

資料輸入輸出

資料框處理

資料視覺化

網頁爬蟲

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哪些人適合這堂課？

• 想要成為初級資料分析師（Junior Data Analyst）的學員

學習目標

• 建立 R 與 RStudio 的開發環境
• 認識 R 語言
• 暸解運算符與向量
• 暸解流程控制：條件判斷
• 暸解流程控制：while 迴圈
• 暸解向量操作
• 暸解流程控制：for 迴圈
• 暸解其他資料結構
• 暸解程式封裝：自訂函數
• 資料輸入輸出
• 資料框處理
• 資料視覺化
• 網頁爬蟲

課程介紹

面對撲面而來的資料浪潮，包含 Google、Facebook、Intel、Pfizer、Bank of America 等國際級企業，都已經採用 R 語言進行資料分析，許多全球一流大學如 Stanford、Johns Hopkins 和 UCLA 也將 R 視為資料分析課程的先修科目。根據國際知名的 KDnuggets 論壇統計，R 語言已經連續三年獲得資料科學家最常使用的資料分析語言第一名的殊榮。

《R 語言探索之旅》以問題導向的方式教學R語言。從資料萃取和資料清理開始，有目的的進行探索性資

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哪些人適合這堂課？

• 適合所有想在短時間上手 R 語言的朋友

學習目標

• 認識 R 語言的編輯環境
• 學會 R 語言的基本操作
• 熟悉 R 語言的資料整理
• 體驗 R 語言的資料分析與視覺化