Mastering R: From Basics to Advanced Techniques
Unlock the Power of Data with R Programming - Learn, Analyze, Visualiz
Updated on Apr, 2024
Language - English
Lectures -39
Resources -1
Duration -5.5 hours
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Course Description
Discover the full potential of R programming with our comprehensive course designed to take you from beginner to advanced levels. Whether you're a novice or a seasoned data scientist, this course equips you with the skills needed to manipulate, analyze, and visualize data effectively. From mastering the fundamentals to diving into advanced techniques, you'll gain hands-on experience and practical insights to harness the power of R for your data projects. Join us and embark on a journey to elevate your data analysis capabilities with R programming.
Goals
What will you learn in this course:
- Mastering R Fundamentals: Gain a solid understanding of R programming language syntax, data types, and basic operations.
- Data Manipulation and Cleaning: Learn how to manipulate and clean data efficiently using packages like dplyr and tidyr.
- Statistical Analysis: Explore statistical techniques such as hypothesis testing, regression analysis, and data modeling using R.
- Data Visualization: Create compelling visualizations to effectively communicate insights using ggplot2 and other visualization packages.
- Problem-Solving Skills: Develop critical thinking and problem-solving abilities by tackling various data analysis challenges.
- Prepare for Career Advancement: Equip yourself with in-demand skills sought by employers in data analysis, research, and decision-making roles.
Prerequisites
What are the prerequisites for this course?
No Prerequisites required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction to the course
00:45
00:45
R and R studio installation
1 Lectures
Basic Operations in R
3 Lectures
Data structures in R
11 Lectures
Data frames and other Important concepts
4 Lectures
Control structures
2 Lectures
Functions in R
3 Lectures
Statistics
7 Lectures
Data visualization
7 Lectures
Instructor Details
Payaswini Sahu
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