R Programming for Statistics and Data Science
Learn R programming for data science! Master statistics, data analysis, and compelling data visualization with ggplot2. Perfect for data professionals.
Course Content
R Programming for Statistics and Data Science is an all-levels Udemy course taught by 365 Careers. It runs 6h 24m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 5,691 reviews, with 31,617 students enrolled. It is a paid course, last updated August 2023.
Master R Programming for Statistics and Data Science (2023)
Unlock a rewarding career in data analysis or data science with our comprehensive R programming course. R is a leading language for data professionals, and demand for skilled data scientists is booming. This course provides the essential tools and skills to confidently handle data and excel in this high-demand field.
Beginner-Friendly R Programming:
Whether you're new to programming or seeking a refresher, this course is designed for you. We start with the fundamentals, ensuring a smooth learning curve. You'll progress from basic concepts to advanced data manipulation techniques.
Key Skills You'll Acquire:
- R Fundamentals: Learn the core principles of R programming with a gentle introduction for absolute beginners.
- Data Manipulation: Gain expertise in working with vectors, matrices, data frames, and lists – the building blocks of data analysis.
- Tidyverse Mastery: Become proficient with the Tidyverse package, R's powerful collection of tools for data manipulation, including
index,subset,spread(),gather(),order(),filter(),arrange(), andmutate(). - Data Visualization: Create compelling and informative data visualizations and plots to communicate your findings effectively.
- Statistical Foundations: Develop a strong understanding of descriptive statistics and inferential statistics.
- Confidence Intervals & Hypothesis Testing: Master techniques for assessing data and drawing valid conclusions.
- Regression & Cluster Analysis: Learn to apply powerful statistical methods for predictive modeling and data grouping.
Structured Learning & Support:
- Well-Paced Curriculum: Our course is designed for effective learning, challenging you appropriately to maximize knowledge retention.
- Rigorous Content: Benefit from carefully crafted and edited content delivered with top-class training.
- Practical Exercises: Reinforce your learning through numerous hands-on exercises designed to solidify your skills.
- Homework & Projects: Tackle challenging homework assignments and projects, with video tutorials available for assistance.
Career Advancement:
Upon completion, you'll receive a verifiable certificate of completion to showcase your R programming skills to potential employers. Add it to your CV and LinkedIn profile to demonstrate your ability to perform data manipulation and analysis in R.
Ready to start your journey to becoming a data professional? Join us and gain the skills you need to succeed in the exciting world of data science!
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