トラック Rによるデータアナリスト - 修了証付きオンライン学習

Rによるデータアナリスト

Beginner

0.0

0 reviews

0 Learners

Rを使用してデータを分析するために必要なスキルを身につけたい初心者やジュニアプロフェッショナル向けに設計された、ステップバイステップの学習トラックです。本トラックでは、基礎的なプログラミング、データ構造、データのクリーニングと整形、探索的データ分析、データ可視化を網羅しており、受講者がエントリーレベ…

105

Chapters

Learning hours

144

Assignments

AI Assistant

Shareable Certificate

成果

Track content

Related courses and projects

推薦の声

特徴

価格

成果

Track content

Related courses and projects

推薦の声

特徴

価格

学習内容

Understand and write basic R code

gain practical skills in exploratory data analysis (EDA)

Work confidently with R's core data structures: vectors, lists, data frames, and matrices

Create and customize data visualizations with base R and ggplot2

Clean, wrangle, and prepare data for analysis using R packages

Apply best practices for communicating analytical insights

Learning track content

Basic Arithmetic

print() Function

Comments

Integer Division and Remainders

Exponentiation

cat() Function

Variables

Challenge: Revenue Calculation

Understanding Vectors

Labeling Vector Elements

Indexing Vector Elements

Modifying Vector Elements

Deleting Vector Elements

Operations with Vectors

Understanding Factors

Indexing in Factors

Levels in Factors

Counting Factor Values

Grouping Numeric Data

Challenge: Grades Summary

Understanding Matrices

matrix() Function

Transposing Matrices

Indexing in Matrices

Labeling Rows and Columns

Operations with Matrices

Challenge: Sales and Revenue

Understanding Data Frames

data.frame() Function

Accessing Columns in Data Frames

Logical Indexing

Manipulating Columns

Manipulating Rows

Challenge: Store Revenue Analysis

Understanding Lists

Labeling List Elements

Indexing List Elements

Modifying List Elements

Introduction to Data Cleaning and Wrangling

Challenge: Introduction to Data Cleaning and Wrangling

Handling Missing Data

Challenge: Handling Missing Data

Filtering and Selecting Data

Challenge: Filtering and Selecting Data

Transforming and Recoding Variables

Challenge: Transforming and Recoding Variables

Tidying Data with tidyr

Challenge: Tidying Data with tidyr

Combining and Joining Data

Challenge: Combining and Joining Data

String Manipulation for Data Cleaning

Challenge: String Manipulation for Data Cleaning

Detecting and Removing Duplicates

Challenge: Detecting and Removing Duplicates

Tibbles: Modern Data Frames

Challenge: Tibbles

Factors: Handling Categorical Data

Challenge: Factors

Dates and Times: Temporal Data Structures

Challenge: Dates and Times

Grouped Data: Summarization and Aggregation

Challenge: Grouped Data

List-Columns and Nested Data Frames

Challenge: List-Columns

Reshaping Data: Pivoting and Melting

Challenge: Reshaping Data

Indexes and Row Names in Data Frames

Challenge: Indexes and Row Names

Handling Missing Data in EDA Structures

Challenge: Handling Missing Data

Hierarchical Indexing for Multi-Level Data

Challenge: Hierarchical Indexing

Sorting and Ordering Data

Challenge: Sorting and Ordering

Slicing and Subsetting Data

Challenge: Slicing and Subsetting

Memory Efficiency and Performance

Challenge: Memory Efficiency

Merging and Joining Data Frames

Challenge: Merging and Joining

Conditional Transformations of Data Columns

Challenge: Conditional Transformations

Advanced Aggregation Techniques

Challenge: Advanced Aggregation

Metadata in EDA Data Structures

Challenge: Metadata

Introduction to Data Visualization in R

Challenge: Introduction to Data Visualization

Scatter Plots: Visualizing Relationships

Challenge: Scatter Plots

Bar Charts: Comparing Categories

Challenge: Bar Charts

Histograms: Visualizing Distributions

Challenge: Histograms

Boxplots: Summarizing Distributions

Challenge: Boxplots

Customizing Plots: Colors, Labels, and Legends

Arranging Multiple Plots

Challenge: Arranging Multiple Plots

Exporting Plots: Saving Your Work

あなたのテックスキルを強化！

最大55％オフで

Features:

*Tracks not included in Pro plan

500+ 人気コース最先端のAIコパイロット

パーソナライズされた学習トラック40+ 実践的なプロジェクト

選択された割引イントロプランが終了する前にキャンセルしない場合、Codefinityが自動的に課金することを承認します $104 3か月ごと キャンセルするまで。キャンセルおよび返金ポリシーの詳細は、定期購読の条件.

Recommended Courses and Projects

R Introduction

Gain a solid understanding of R, one of the most widely used languages for data analysis. Explore fundamental data types and one-dimensional values, then advance to multi-dimensional structures, including matrices, data frames, and lists. Build the skills needed to apply R effectively in statistical analysis and data-driven decision-making.

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.

Control Flow in R

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 through practical, real-world examples to help you write efficient and readable R code.

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.

Working with Data Structures in R

Master the essential data structures in R, including lists, data frames, and factors. Learn how to create, manipulate, and analyze data using R's powerful tools, with engaging explanations and real-world challenges designed for beginners.

Visualization and Reporting with R

Master the essentials of data visualization and reporting in R. Learn to create compelling graphics, perform exploratory data analysis, and communicate insights effectively using R's powerful tools.

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 Marketing Analysts

Learn to apply R for practical marketing analytics: measure KPIs, analyze customers and cohorts, evaluate campaigns, and visualize insights to drive business decisions.

R for Mathematicians

Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.

R for Statisticians

Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.

Data Manipulation in R

Master the essential data manipulation skills in R using dplyr, grouping and aggregation, and joining data frames. This course is designed for beginners and provides hands-on, real-world tasks to build your confidence in transforming and analyzing data for analytics.

Discover more Learning Tracks

トラック

Unityによるゲーム開発

初心者

Adobeによるビデオプロダクション

初心者

UI/UXデザインツール

初心者

必須オフィススキル

初心者

デジタルマーケティングの基礎

初心者

完全なソーシャルメディア管理

初心者

ビジネスAIツールキット

初心者

ノーコードウェブサイト開発

初心者

DevOpsスペシャリスト

初心者

教師あり学習の基礎

初心者

Pythonゼロからヒーローへ

初心者

Cプログラミング基礎

初心者

なぜ人々はCodefinityを選ぶのか

Web Developer

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.

Project Manager

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.

Step-by-Step to Stellar Results

インタラクティブなコーディング環境

インタラクティブな環境に飛び込み、リアルタイムのフィードバックと成果指標を活用してコードを書き、実行しながら一歩ずつ学んでいきましょう。

AI搭載のサポート

内蔵のAIアシスタントを活用してエラーの説明、修正案の提示、あるいはコードに関するあらゆる質問に答え、生産性を保ち、詰まることなく作業を進めましょう。

Check your progress

各モジュールの締めくくりとしてクイッククイズを実施し、即時フィードバックを受け、進捗を確認し、主要な概念を確実に習得できたかチェックしましょう。

Promote your expertise

修了後に業界で認められた証明書を取得し、ワンクリックでLinkedInに共有して、あなたの実力を周囲に示しましょう。