Hands-On R Programming Build Real World Data Projects - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Hands-On R Programming Build Real World Data Projects (/Thread-Hands-On-R-Programming-Build-Real-World-Data-Projects)

Hands-On R Programming Build Real World Data Projects - OneDDL - 08-12-2025 Free Download Hands-On R Programming Build Real World Data Projects Published 8/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 43m | Size: 837 MB Hands-on learning with R: Analyze, visualize, and interpret real world data like a pro. What you'll learn What is R? History and applications of R Installing and Configuring R and RStudio Basic R Syntax and Data Types Vectors, Matrices, and Arrays Data Frames and Lists Conditional Statements (if-else) Loops (for, while) Creating and Using Functions in R Function Arguments and Scoping Data Manipulation with dplyr (filter, select, mutate, arrange) Data Tidying with Tidyr (pivot_longer, pivot_wider) Joining and Merging Data Frames Creating Various Types of Plots (scatter plots, bar plots, line plots, histograms) Customizing Plot Aesthetics (colors, labels, themes) Creating Interactive Plots Descriptive Statistics (mean, median, standard deviation, quartiles) Hypothesis Testing (t-tests, chi-squared tests) Regression Analysis (linear regression, multiple regression) Requirements No R programming experience needed Description Welcome to Hands-On R Programming: Build Real World Data Projects - your practical path to mastering R through real life applications. Whether you're a beginner or someone looking to strengthen your data skills, this course will give you hands-on experience with one of the most powerful tools in data science.Why Learn R?R is widely used in data science, statistics, machine learning, and academia - especially when working with large datasets and generating clean, meaningful visualizations. It's a favorite among data analysts, researchers, and companies worldwide.But instead of just learning R syntax in isolation, this course focuses on building real world projects that reflect the kinds of tasks data professionals face every day.What You'll LearnR programming fundamentals and best practicesData cleaning and transformationExploratory Data Analysis (EDA)Working with real world datasets: business, healthcare, finance, and moreBuilding dashboards and automated reportsIntroduction to machine learning using caret and randomForestStatistical analysis, hypothesis testing, and correlation techniquesHow to structure, document, and present your projectsCourse FeaturesStep-by-step, beginner friendly tutorialsLifetime accessCertificate of CompletionStart Learning TodayBy the end of this course, you'll be confident in using R to clean, analyze, visualize, and present data. Who this course is for Anyone who wants to build a strong portfolio of R data projects Students in statistics, economics, or data science Beginners who want to learn R by doing, not just watching Data analysts and professionals transitioning into R from Excel or Python Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable