学習内容

Understand and implement conditional statements (if, else, else if) in R.

Optimize loops and understand when to use them efficiently.

Work with nested conditions and apply logic to vectors.

Harness the power of apply family functions (apply, lapply, sapply, vapply, tapply) for data manipulation.

Utilize for, while, and repeat loops for iterative tasks.

Solve real-world problems using R control flow constructs.

コース内容

Master the essentials of control flow in R, including conditional statements, loops, and the powerful apply family of functions. This course is designed for beginners and will guide you throu…

Learn how to control the flow of your R programs using conditional statements, including if, else, else if, and how to apply logic to vectors.

Understanding if, else, and else if

Challenge: Classify Numbers

Nested Conditions in R

Challenge: Age Group Categorizer

Conditional Logic with Vectors

Challenge: Vector Labeler

Master the use of loops in R, including for, while, and repeat, and learn how to optimize your code for efficiency.

For Loops in R

Challenge: Sum Vector Elements

While Loops in R

Challenge: Sum Threshold

Repeat Loops and Break Statements

Challenge: Random Number Generator

Unlock the power of R's apply family functions to perform operations on data structures efficiently and elegantly.

Introduction to apply, lapply, and sapply

Challenge: Matrix Row Means

Exploring vapply and tapply

Challenge: Grouped Means with tapply

Choosing the Right Apply Function

Challenge: Apply Function Selector

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R入門

データ分析で最も広く使用されている言語の一つであるRの基礎をしっかりと理解します。基本的なデータ型や一次元の値を学び、さらに行列、データフレーム、リストなどの多次元構造へと進みます。統計解析やデータ駆動型の意思決定にRを効果的に活用するためのスキルを身につけます。

Data Analysis with R

Gain practical experience in data analysis with R by learning how to clean, transform, and visualize datasets. Explore essential workflows such as selecting and filtering data, handling missing values, and summarizing results. Build confidence in preparing data for insights, reporting, and deeper statistical exploration.

Mastering R Programming Fundamentals

Establish foundational syntax by performing basic arithmetic, declaring variables, understanding core data types, ultimately manipulating single dimension vectors alongside categorical factors.

生物学者とバイオインフォマティクスのためのR

生物学者およびバイオインフォマティクス研究者向けに特化した、Rプログラミングの実践的な入門コースです。Rを用いて生物学データの解析、可視化、解釈を学び、ゲノミクス、生態学、実験生物学の実例を通じて理解を深めます。

Functions and Functional Programming in R

Master the art of writing and using functions in R, from basic syntax to advanced functional programming techniques. This course guides you through creating your own functions, leveraging anonymous functions, and applying functional programming concepts to solve real-world problems in R.

R for Data Scientists

Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.

R for Economists

Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.

R入門

データ分析で最も広く使用されている言語の一つであるRの基礎をしっかりと理解します。基本的なデータ型や一次元の値を学び、さらに行列、データフレーム、リストなどの多次元構造へと進みます。統計解析やデータ駆動型の意思決定にRを効果的に活用するためのスキルを身につけます。

Data Analysis with R

Gain practical experience in data analysis with R by learning how to clean, transform, and visualize datasets. Explore essential workflows such as selecting and filtering data, handling missing values, and summarizing results. Build confidence in preparing data for insights, reporting, and deeper statistical exploration.

Mastering R Programming Fundamentals

Establish foundational syntax by performing basic arithmetic, declaring variables, understanding core data types, ultimately manipulating single dimension vectors alongside categorical factors.

生物学者とバイオインフォマティクスのためのR

生物学者およびバイオインフォマティクス研究者向けに特化した、Rプログラミングの実践的な入門コースです。Rを用いて生物学データの解析、可視化、解釈を学び、ゲノミクス、生態学、実験生物学の実例を通じて理解を深めます。

Functions and Functional Programming in R

Master the art of writing and using functions in R, from basic syntax to advanced functional programming techniques. This course guides you through creating your own functions, leveraging anonymous functions, and applying functional programming concepts to solve real-world problems in R.

R for Data Scientists

Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.

R for Economists

Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.

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Kwizera Mugisha

The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Senior Business Analyst

Sherry Barnes-Fox

My first course was 4 hours, I did it in a few days, "nugget-style". The instructions are very clear and easy to understand. There is even a hint to help you get the answer. I love the learning style that is used, it engages me.

Accounts Payable Specialist

Bill Wagner

I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

IT Support Specialist

Daniel Chinea

I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming. Years ago, I would have never thought that I could learn programming in any way, shape or form, and I was able to obtain these certifications and skills with Codefinity.

Technology Project Manager

Steve Bruening

The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

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Stephanie Chan

As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.