R: Learn to Program in R & Use R for Effective Data Analysis
Master data analysis with R! Learn this powerful tool used by Google & Facebook for data manipulation & management. Boost your data skills today.
Course Content
R: Learn to Program in R & Use R for Effective Data Analysis is an intermediate-level Udemy course taught by ATI - Analytics Training Institute. It runs 3h 32m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 45 reviews, with 544 students enrolled. It is a paid course, last updated April 2017.
Unlock Your Data Potential with R Programming: A Comprehensive Introduction
Ready to boost your career in data analysis? This course provides a practical introduction to R, a powerful and widely used analytical tool in today's industry. Discover why learning R is a game-changer and how it can set you apart.
Why Choose This R Course?
- Professional Relevance: R is rapidly gaining popularity, adopted extensively by industry giants like Facebook and Google. The demand for skilled R users is soaring, and the best part? It's free to use!
- Elevate Your Resume: While SAS and SPSS are common on data analyst resumes, adding R demonstrates a broader skillset and can significantly enhance your job prospects.
- Easy to Learn: R is an open-source language, meaning it's accessible to everyone and completely free. A vibrant and supportive R community constantly expands its capabilities, with abundant tutorials and code readily available.
What You'll Get:
- Downloadable Materials: Comprehensive course materials are included as attachments with each session.
Course Structure:
This course is divided into 5 sections, totaling 15 engaging lectures, designed to build your R skills progressively.
- Section 1: Understanding the R Tool: A foundational introduction to the R environment.
- Section 2: Data Manipulation: Master R's data types and structures for effective data handling.
- Section 3: Data Management: Learn how to utilize R packages and efficiently import/export data files.
- Section 4: Advanced Techniques: Explore logical operations and data merging in R.
- Section 5: Text Analytics Project: Apply your R skills to create insightful word clouds.
Course Duration:
This comprehensive R course offers 2.5 hours of learning, broken down into 5 sections and 15 lectures, providing a focused and effective learning experience.
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