Crash Course - R programming from Scratch & workout

🚀 Crash Course - R Programming from Scratch to Workout 📊🔍

About the Course: Unlock the Power of Data with R! Dive into the world of data analysis and manipulation with our comprehensive "R Programming from Scratch to Workout" course. Designed for individuals eager to master R, this course is your gateway to understanding data import/export, sorting, merging, and much more within the R environment.

Course Highlights:

• 📚 R Syntax Mastery: Learn the essential syntax for managing and manipulating data in R.
• 📊 Analytics & Data Science Focus: Explore concepts like Data Mining, Analytics, and Machine Learning through practical exercises.
• 🧠 Practical Skills: Engage with real-world scenarios and 10 practice case studies to solidify your understanding of R programming.

Course Outline:

1. Getting Started with R & RStudio: Install R, set up RStudio, and familiarize yourself with the working environment and data preparation for exercises.
2. R Syntax Essentials: Understand the core syntax of R through practical examples to effectively import, view, and manipulate your datasets.
3. Advanced R Techniques: Learn additional syntax necessary for complex tasks like subsetting, sorting, merging data sets, and more.
4. Real-World Application: Put your knowledge to the test with 10 practice case studies that mirror real-world business problems.

What You'll Learn:

• Import / Enter / View data and metadata in R
• Conduct Frequency Distribution & Univariate Analysis
• Create derived variables and substrings
• Merge and append datasets
• Sort, subset, and manipulate data sets
• Perform Cross Tab analysis
• Execute Linear Regression analysis
• Analyze 10 practice case studies to apply your skills in a business context

Materials Provided:

• 🎥 20 HD Videos: Visual learning made easy with step-by-step guidance.
• Excel Data sets: Real-world datasets to practice your R skills.
• PDF of Presentation: A comprehensive guide for reference.
• R code: Sample codes and templates to help you along the way.

Time Investment:

• Approximately 4 hours to internalize the concepts and become comfortable with R programming.

Course Structure:

1. Section 1: Installation, setting up the environment, and understanding data fundamentals.
2. Section 2: Grasping R syntax through engaging examples.
3. Section 3: Learning additional syntax for advanced data manipulation.
4. Section 4: Practical Case Studies - apply your knowledge to solve business problems.

Why Enroll in This Course?

• 🚀 Fast Track Learning: Get up to speed quickly with a simplified learning approach.
• 🎓 Essential Concepts: Focus on the most important aspects of data analysis and manipulation.
• 🤖 Practical Examples: Learn through hands-on examples and real-world case studies.

Embark on your journey to becoming an R programming expert today! With this comprehensive course, you'll be equipped with the skills and knowledge needed to tackle data analysis and make informed decisions based on data-driven insights. 👩‍💻📈