Beginner
20h
Introduction to Data Analysis and Visualization with R
Gain insights into data manipulation, analysis, and visualization with R. Learn statistical concepts, create insightful visualizations, and empower decision-making to excel in data-centric roles.
This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields.
You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries.
After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.
This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source sta...Show More
WHAT YOU'LL LEARN
Proficiency in data manipulation and analysis using R language
Profound knowledge of basic data structures in R language and file management
Understanding of statistical concepts and their interpretation
Expertise in creating meaningful data visualizations using R
Hands-on experience with a project based on a real dataset
Proficiency in implementing data-driven decision-making skills
Proficiency in data manipulation and analysis using R language
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TAKEAWAY SKILLS
Content
1.
Getting Started
4 Lessons
Get familiar with R programming, essential packages, and practice with ready-to-use datasets.
2.
File Management
3 Lessons
Grasp the fundamentals of reading, loading, and saving data efficiently in R.
3.
Data Structures
10 Lessons
Master the steps to understand R data types, coercion, structures, and string manipulation.
4.
Data Cleaning
11 Lessons
Grasp the fundamentals of data cleaning in R, including managing, transforming, and exploring data frames.
5.
Statistical Analysis
14 Lessons
Deepen your knowledge of statistical methods, hypothesis testing, sampling, and data relationships using R.
6.
Data Transformation
9 Lessons
Tackle data transformation in R using aggregation, crosstabs, normalization, outlier handling, encoding, and patient data challenges.
7.
Data Visualization
18 Lessons
Build on understanding chart functions, ggplot2, and various visualization techniques in R.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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