Statistics for Data Analysis Using R
Why take this course?
🚀 Statistics for Data Analysis Using R: Master R & R Studio with Confidence! 📊
Welcome to a journey where statistics meets programming in the versatile world of R. Whether you're a beginner or looking to solidify your understanding, this course is crafted to cater to all levels. You don't need to be a programmer to dive into this course; we've got you covered! 🎉
Course Title: Statistics for Data Analysis Using R
Instructor: Sandeep Kumar, Quality Gurus Inc.
📖 Course Description:
-
Understand & Apply Statistical Concepts: Get familiar with the fundamental concepts of statistics and learn how to apply them in practical scenarios using R. We'll explore various examples and datasets to make learning interactive and engaging.
-
Hands-On Learning: I'll guide you through the basic theory behind each statistical concept before showing you the corresponding R functions and packages to perform these calculations. This ensures a solid foundation of understanding both the 'why' and the 'how'.
Course Breakdown:
📈 Descriptive Statistics
Learn to calculate Mean, Mode, Median, Quartile, Range, Inter Quartile Range, and Standard Deviation using both base R functions and the psych package.
- Data Visualization: Master the creation of Histograms, Box and Whisker Plots, and Scatter Plots with base R commands.
🎲 Probability Understand Basic Concepts, Permutations, and Combinations at a theoretical level.
🌾 Population & Sampling Learn the basic concepts of population and sampling exclusively through theory.
📈 Probability Distributions
Explore Normal, Binomial, and Poisson Distributions using base R functions and the visualize package.
🧪 Hypothesis Testing & ANOVA Perform One Sample and Two Samples tests including z Tests, t-Tests, F Tests, and Chi-Square Tests. Also, learn to perform Analysis of Variance (ANOVA) both manually and using R.
Student Testimonials:
- "This course is a perfect blend of theory and practice. I highly recommend it for those who want to master R and statistics." - Aaron Verive 🌟5 Stars🌟
- "You get both the 'how' and 'why' for both statistics and R programming, which makes this course incredibly valuable." - Elizabeth Crook 🌟5 Stars🌟
- "Sandeep explains everything so clearly, pedagogically, and in detail. An excellent course for beginners like myself." - Hashim Al-Haboobi 🌟5 Stars🌟
- "Very clear explanations, especially coming from a non-technical background. A perfect foundation for advanced topics." - Ann Mary Biju 🌟5 Stars🌟
- "I had limited knowledge of R and statistics before taking this course. It provided me with an excellent foundation for more complex subjects." - Thach Phan 🌟5 Stars🌟
- "Dr. Kumar's approach is fantastic, detailed, and not only clear in descriptions but also in understanding the details that make R easier to use." - James Reynolds 🌟5 Stars🌟
- "A wonderful course that I would highly recommend. It's the best Udemy course I have taken so far!" - Joao Alberto Arantes Do Amaral 🌟5 Stars🌟
- "The best thing about this course is the theory incorporated, which helps you understand what you are going to code in R. I've learnt a lot!" - Kipchumba Brian 🌟5 Stars🌟
Why Enroll?
- Real-World Applications: Learn how to apply statistical concepts using R, a powerful tool for data analysis.
- Comprehensive Coverage: From basics to advanced topics, this course covers it all.
- Interactive Learning: With practical examples and datasets, you'll learn by doing.
- Support & Guidance: Continuous support through interactive quizzes and detailed explanations.
- Udemy's 30-Day Money-Back Guarantee: Try the course risk-free!
Ready to level up your data analysis skills with R? Enroll now and transform your approach to statistics and data analysis! 🎓🚀
Course Gallery
Loading charts...
Comidoc Review
Our Verdict
This Statistics for Data Analysis Using R course by Sandeep Kumar excels at blending statistical theory with practical application via R programming. As a result, students gain valuable skills that can be transferred to real-world data analysis scenarios. Though the course moves quickly and may not provide enough practice opportunities for all learners, its detail-oriented approach is ideal for those looking to grasp key concepts before moving on to advanced studies. This Udemy course is an excellent starting point for students with little to no background in statistics or R programming, setting them up for long-term success.
What We Liked
- The course offers a strong foundation in both statistics theory and R programming, enabling effective data analysis.
- Instructor's clear, step-by-step approach facilitates learning, making it suitable for beginners and intermediate students alike.
- Exercises and example-driven teaching style help solidify understanding of statistical concepts and R coding techniques.
- Comprehensive course content covers a wide range of topics, from basic commands to advanced data manipulation and visualization techniques.
Potential Drawbacks
- Pacing may be too fast for some learners, particularly those with limited statistical or programming background.
- Later sections lack practice assignments, which could affect the overall learning experience for some students.
- While explanations are detailed, they might not cover all statistics concepts in depth, leaving advanced learners wanting more.
- Limited focus on specific applications of R in social research