2025 R 4.0 Programming for Data Science || Beginners to Pro

Learn Latest R 4 with R-Studio & Jupyter. DataFrame, Vectors, Matrix, DateTime, GGplot2, Tidyverse, Plotly, etc.
4.63 (162 reviews)
Udemy
platform
English
language
Data Science
category
2025 R 4.0 Programming for Data Science || Beginners to Pro
13 089
students
14.5 hours
content
Apr 2025
last update
$29.99
regular price

Why take this course?

🌟 Course Headline: Master Data Science with R 4.0 - A Comprehensive & Hands-On Course for Beginners!


Introduction to Your Data Science Journey with R 4.0

Embark on an exciting journey into the world of data science with our latest R programming course, tailored for beginners and experienced programmers alike. With R 4.0 being the latest version, this course will equip you with all the necessary tools to harness its powerful capabilities for data analysis, manipulation, and visualization. Whether you're a novice or an expert in programming, this course will take your skills to the next level.


Course Overview:

  • Foundational Basics to Advanced Techniques: Start with the fundamentals of R programming and progressively dive into complex data science applications.
  • Hands-On Learning: Engage with practical exercises that reinforce your understanding of R's syntax and structure.
  • Essential R Libraries: Get familiar with essential libraries such as dplyr, ggplot2, and tidyr, which are crucial for data manipulation and visualization.
  • Data Management Skills: Learn to import, clean, and prepare your data for analysis, ensuring you can handle real-world datasets effectively.
  • Visualization Mastery: Gain proficiency in creating compelling data visualizations and statistical models to uncover insights and make informed decisions.
  • Collaboration & Sharing: Understand how to utilize R within Jupyter notebooks for sharing your work and collaborating with fellow data science enthusiasts.

Key Learnings:

  • 🔹 Installation & Management of R Packages: Learn the ins and outs of managing packages in R, ensuring you have all the necessary tools at your fingertips.
  • 🔹 Data Types Mastery: Explore the various data types in R, including DataFrames, Matrices, and Vectors, to manage your data effectively.
  • 🔹 DataFrame Operations: Perform advanced operations like joins, merges, and more on DataFrames, handling complex datasets with ease.
  • 🔹 Visualization with ggplot2: Utilize the powerful ggplot2 package to create informative and visually appealing plots in R 4.0.
  • 🔹 Real-World Application: Analyze real-life datasets, such as the Covid-19 dataset, to apply your new skills in a practical context.

Why Choose This Course?

  • Solid Foundation in Machine Learning: Understand the core concepts of machine learning that you can apply across various models and scenarios.
  • Diverse Audience: Ideal for business managers, executives, students, and anyone interested in machine learning and data science.
  • Quality Education: Benefit from a curriculum developed by a Ph.D. Scholar in Machine Learning with extensive experience teaching at KGP Talkie and on Udemy.
  • Proven Track Record: Our courses are part of Udemy's top 5000 courses collection and have been curated for Udemy Business, reflecting the high quality and relevance of our content.

Your Instructor:

Laxmi Kant, a dedicated Ph.D. Scholar in Machine Learning, brings years of teaching expertise to your learning experience. With a presence on KGP Talkie YouTube channel and recognized by Udemy's top 5000 courses collection and curated for Udemy Business, Laxmi is committed to delivering an enriching and comprehensive educational journey.


Conclusion:

Join us now and start your transformative journey into the realm of data science with R 4.0. With our interactive course design, you'll not only learn the theory but also apply it through engaging quizzes and projects. Take the first step towards mastering data science today! 🚀📊

Enroll now to unlock your potential in data science and machine learning with R programming! 🎉💻

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3700300
udemy ID
12/12/2020
course created date
13/12/2020
course indexed date
Angelcrc Seven
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