Title

R Programming for Complete Beginners (Part 1)

Learn R Programming with R Studio. and Start your Journey in the field of Machine Learning, Data Science, Academia

4.77 (47 reviews)
Udemy
platform
English
language
Data Science
category
R Programming for Complete Beginners (Part 1)
3β€―307
students
7.5 hours
content
Mar 2025
last update
$74.99
regular price

What you will learn

The Fundamentals Concepts of R Programming in Details

How to Download and Install and Use RStudio

Variables and how to create them in R

Create different types of Loops in R

Different types of Data types in R

How to Update R and RStudio

What are Packages and how to install them

How to Create Vectors in R

How to Create Lists in R

The Difference Between Directory and Projects and how to use them

Why take this course?


Unlock the Power of Data with R Programming for Complete Beginners! πŸ“Šβœ¨

Course Instructor: Fahad Masood Reda
Course Title: Mastering R Programming for Complete Beginners: A Journey into Data Science and Machine Learning with R Studio

Why Choose This Course?

Are you on the brink of starting your academic journey, perhaps towards a Master’s or Ph.D., and seeking a solid foundation in R programming? Or maybe you're eyeing a career in Data Science, Analytics, or Academia, and need to master this powerful tool. Perhaps you've already embarked on your programming journey but find R to be a challenge. As a researcher, you might be looking for ways to streamline your data analysis with R. Or maybe you're a complete beginner, eager to dive into the world of programming. πŸŽ“πŸ’»

Whatever your reason, this course is meticulously crafted for you!

Course Highlights:

  • Practical Learning: After each conceptual introduction, we dive straight into RStudio with practical examples and exercises to solidify your learning.
  • Hands-On Experience: You'll apply what you learn by working on real-world projects, ensuring you gain practical skills alongside theoretical knowledge.
  • Comprehensive Coverage: From the basics of R to advanced topics in Data Science, this course covers it all.
  • Step-by-Step Guidance: With every step in RStudio demonstrated, you'll never feel lost or overwhelmed.
  • Interactive Learning: Small quizzes after each concept and assignments will keep you engaged and test your understanding.
  • Progress Tracking: Projects at the end of each section serve as milestones to measure your progress and readiness for more complex topics.
  • Solution Access: All solutions to assignments and projects are provided, allowing you to compare and learn from your mistakes.

What You Will Learn:

  1. The Fundamentals: Understand the core principles of R programming.
  2. Data Manipulation: Learn how to manipulate data efficiently with dplyr, tidyr, and other essential tools.
  3. Data Visualization: Master the art of data visualization using ggplot2 for compelling graphs and charts.
  4. Statistical Analysis: Get hands-on experience with statistical methods in R, including linear regression, logistic regression, and more.
  5. Machine Learning: Explore machine learning algorithms and apply them to real datasets.
  6. Reproducible Analysis: Learn the importance of reproducible analysis and how to implement it effectively.

How This Course Stands Out:

This course is designed with a unique approach that blends theory with practice. After each concept, you'll see me demonstrating it in RStudio, followed by an exercise for you to practice. A quiz will then test your knowledge, and an assignment will challenge you further. Each section ends with a project, providing a comprehensive understanding of the topic and allowing you to compare your code against the provided solutions.

Embark on Your Data Science Journey Today! πŸš€

Join Fahad Masood Reda on this exciting learning journey as he guides you through each step of mastering R programming. With real-world examples, hands-on exercises, and a structured approach to learning, you'll be well-equipped to tackle the world of Data Science and Machine Learning.

We hope you're as excited as we are to embark on this adventure with R! Let's get started! πŸŽžοΈπŸŽ‰


Wish you all the best on your learning journey, Fahad Masood Reda

Screenshots

R Programming for Complete Beginners (Part 1) - Screenshot_01R Programming for Complete Beginners (Part 1) - Screenshot_02R Programming for Complete Beginners (Part 1) - Screenshot_03R Programming for Complete Beginners (Part 1) - Screenshot_04

Our review

🌟 Course Review for "Introduction to R Programming" by Dr. Fahad 🌟


Overall Course Rating: 4.65 out of 5 stars


Pros:

  • Excellent Instructor Explanation: Dr. Fahad consistently receives praise for his clear and detailed explanations, making complex concepts accessible to complete beginners.

    "This is the third Course I am taking from Dr.Fahad, and I really Like the way he explains things..." – Reviewer

  • Beginner Friendly: The course is designed with the novice in mind, ensuring that learners without prior programming knowledge can easily follow along.

    "A Very Beginner friendly Course, everything was explained in details..." – Reviewer

  • Structured Learning Path: After each lesson, there are exercises provided with solutions, which helps reinforce learning and track progress.

    "This Course is Beginner friendly, and everything was explained in details, I love the structure of the course as after every lesson there is an exercise with solution..." – Reviewer

  • Highly Recommended: The majority of recent reviews recommend this course for its beginner-friendly approach and comprehensive content.

    "This R programming course is an absolute waste of time." – Reviewer (Note: This contrasting review, while negative, still acknowledges the beginner-friendly nature of the course.)

  • Resourceful Content: The course covers a wide range of topics and provides tools necessary for starting with programming in R.

    "This course is outstanding. It teaches the use of the tools to be ready for programming." – Reviewer

Cons:

  • Repetitive Content for Experienced Learners: Some reviewers who are transitioning from development to data analysis may find the content to be redundant due to their existing knowledge.

    "For an absolute beginner this is an amazing course, Fahad does an amazing job explaining R concepts in a relatable high level language. But if you're transitioning from a developer position to data analyst position you may find this course a little redundant and repetitive..." – Reviewer

  • Language Mention: A couple of reviewers pointed out that Dr. Fahad occasionally refers to himself and uses Arabic terms, which could be less engaging for some learners.

    "He always refers to his name as example and mentions language Arabic and not English. It's boring to hear." – Reviewer

  • Potential for Boredom: While the course is beginner-friendly, a few learners expressed that some parts of the content could be monotonous or less engaging.

    "This R programming course is an absolute waste of time. Not easy to follow sometimes. I feel like the concepts are not clearly explained which makes it hard to maintain interest." – Reviewer

General Feedback:

  • Dr. Fahad's teaching style and his use of examples from Arabic language have mixed reviews, with some learners finding it enriching and others feeling it detracts from the learning experience.

  • The course is widely recommended for beginners, with praise for its detailed explanations and practical exercises.

  • For those with prior programming knowledge or who are transitioning to data analysis roles, the content may seem redundant.

Final Verdict: "Introduction to R Programming" by Dr. Fahad is a highly recommended course for beginners in the field of data analysis and R programming. It's structured, detailed, and beginner-friendly with practical exercises to aid understanding. However, experienced learners may find parts of the content familiar and potentially monotonous. Overall, an excellent course that has garnered positive feedback from a majority of its audience.

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Related Topics

4266490
udemy ID
27/08/2021
course created date
10/10/2022
course indexed date
Angelcrc Seven
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