29 Lessons
465 Students
Kahsay Nguse Gebrekidan
Very good but there are some duplication.
R offers a wide variety of statistics-related libraries and provides a favorable environment for statistical computing and design. In addition, the R programming language gets used by many quantitative analysts as a programming tool since it's useful for data importing and cleaning .
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What You'll Learn
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Master data importing, cleaning, and manipulation using R for efficient statistical analysis and data science projects
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Apply R programming skills to develop and troubleshoot statistical models and algorithms in real-world scenarios
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Utilize R libraries for data visualization, statistical testing, and advanced analytics to derive actionable insights
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Write optimized R code for data analysis, automation, and reproducible research in professional environments
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Implement best practices for data management, version control, and documentation within R projects
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Leverage R's capabilities for handling large datasets and performing complex data transformations effectively
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Develop problem-solving skills for common challenges in R programming related to data analysis and statistical computing
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Use R to prepare data for machine learning models, including feature engineering and data normalization
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Interpret and communicate statistical results clearly using R's visualization and reporting tools
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Enhance interview readiness with practical R coding exercises focused on statistical analysis and data manipulation
Course Content
29 Lessons • 41 h 49 m total
R Programming | R Language Tutorial | Data Science with R Course | Intellipaat
R Tutorial | Learn R Programming | Intellipaat
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R Programming for Beginners | Intellipaat
R Programming For Data Science | R Language Tutorial | R Tutorial | Intellipaat
R Training | R Programming Beginners Training | Intellipaat
Generating Plots in R | R Programming Tutorial | Data Science Training | Intellipaat
Merge Function in R Programming | R Programming Tutorial | Business Analytics R Tutorial
Association Rule Mining | R Programming Tutorial | Business Analytics R Tutorial
Logistic Regression | Logistic Regression in Python | Intellipaat
R Programming for Beginners | R Programming for Data Science | Intellipaat
R Programming Interview Questions | R Programming Interview Questions and Answers | Intellipaat
Which Programming Language Should I Learn | How to Learn Programming for Beginners | Intellipaat
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R Tutorial For Beginners | R Programming Course | Learn R Language | R Training | Intellipaat
Which Programming Language Should I Learn | How to Learn Programming for Beginners | Intellipaat
Best Way To Learn Programming Language | Fastest Way to Learn Programming | Intellipaat
Object Oriented Programming | OOPS in Python | OOPS Tutorial | Intellipaat
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How To Become A Programmer | Who is a Programmer | Programming Career Path | Intellipaat
How to Learn Programming For Beginners | How to Learn Programming Faster | Intellipaat
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Which Programming Language to Learn First | Programming Language for Beginners | Intellipaat
Top 5 Reasons To Learn Programming | Why You Should Learn To Code | Intellipaat
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Top 5 Programming Languages to Learn in 2022 | Top Programming Languages | Intellipaat
How To Download R And RStudio | How To Install R | Download RStudio On Windows 11 | Intellipaat
Data Analytics With R Programming Full Course | Data Analytics Course | R Analytics | Intellipaat
How to Get The Certificate
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You must have an
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
4.1
(8 reviews)
Overall rating
Reviews
Be the First One Review This Course
FATIMA PERVEEN AQIL
Excellent
Nagendra R
excellent
sanjiv kumar
without data is how to make exercise?
Abdualmoniem Omer Abdalla Musa
Very interesting course
Gowtham Sappa
Great course
Amit Kumar Mishra
Very good
Aditya Patwal
great course very informative
Rayapureddy Sravani
very good platform to learn new skills
Jency M G
very good classes
ABUL HASSAN KHAN
it is great to have this basic required programing language course called as "R"
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R Programming Interview Course Description
R offers a wide variety of statistics-related libraries and provides a favorable environment for statistical computing and design. In addition, the R programming language gets used by many quantitative analysts as a programming tool since it's useful for data importing and cleaning .
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