R Programming A-Z™ – R For Data Science With Real Exercises! by Kirill Eremenko

This course teaches R programming from the ground up, focusing on essential skills for data science. You will learn to use R Studio effectively and understand key programming principles that will enable you to tackle real-world data challenges.

Key Skills You Will Gain

• R programming fundamentals: Understand the core concepts of R programming, including syntax, data types, and basic operations, which are crucial for effective data analysis and visualization.
• Data manipulation techniques: Learn how to create and manipulate vectors, matrices, and data frames, allowing you to organize and analyze data efficiently in various contexts and scenarios.
• Statistical analysis in R: Explore statistical methods and functions that can be applied to real datasets, enhancing your ability to derive insights and make data-driven decisions in your projects.
• Practical data science projects: Engage with real-life analytical challenges across different domains, such as finance and sports, to apply your skills and solidify your understanding of R programming through hands-on experience.

By completing this course, you will gain a solid foundation in R programming and the analytical skills necessary to address complex data science problems effectively.

Who This Course Is For

• Students pursuing a career in data science who need to learn R programming for data analysis and visualization.
• Professionals in analytics roles looking to enhance their programming skills and apply R to real-world data challenges.
• Individuals with a background in statistics or mathematics seeking to expand their technical skills in data manipulation and analysis using R.

File Details
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Total Size: 7.3GB

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