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Murach's R for Data Analysis Comprehensive Data Science Book for Beginners & Pros - Learn Analytics, Visualization & Statistical Models Using R
88% of respondents would recommend this to a friend
MKD 2862
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Learn the R skills you need to become a data analyst, and you can learn them faster and better than ever before.
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What Stands Out
Product Details
- Learn R skills needed to become a data analyst faster and better with Murach's R for Data Analysis
- Unique paired-pages format suitable for both new and experienced programmers
- Focuses on learning the parts of the R language needed for data analysis and using R with the tidyverse package
- Covers getting, cleaning, preparing, analyzing, and visualizing data at a professional level
- Includes creation of linear regression models, classification models, and making predictions
- Features three realistic analyses using real-world data, aiding the learning process
| Publisher | Mike Murach and Associates Inc |
| Publication date | January 1, 2023 |
| Language | English |
| Print length | 592 pages |
| ISBN-10 | 1943873038 |
| ISBN-13 | 978-1943873036 |
| Item Weight | 2.1 pounds (950 grams) |
| Dimensions | 8 x 1.25 x 10 inches (20.3 x 3.2 x 25.4 cm) |
Who Should Buy?
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Data Analysts
Perfect for data analysts seeking to enhance their R programming skills for better data manipulation and analysis.
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Students
Ideal for students studying data science or statistics who require practical and structured learning about R.
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Professionals
Beneficial for professionals looking to integrate R data analysis into their work for improved decision-making and reporting.
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Beginners
Not suitable for complete beginners as it assumes basic programming knowledge and may be overwhelming.
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Data Mining Editorial Review
Murach's R for Data Analysis Comprehensive Data Science Book for Beginners & pros - Learn Analytics, Visualization & Statistical Models Using R Programming - Professional Training Guide is a valuable resource for both beginners and seasoned professionals. With 592 pages of content, it offers a structured approach to mastering R, making it suitable for data analysis projects. Many readers have praised its clear writing style and practical applications, especially in data visualization techniques. The book effectively combines theory with hands-on practice, guiding users through essential skills needed in data analysis, from cleaning data to interpreting various models, and even provides case studies to enhance understanding.
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Pros
- Excellent framework for data analysis projects
- Clear writing style and to the point
- Great for beginners and intermediate users
- Practical applications in data visualization
- Covers essential data cleaning techniques
Cons
- Some may find the volume of content overwhelming
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MKD 2862
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Features & Benefits
- Master the R skills to become a successful data analyst
- Unique, easy-to-follow paired-pages format for new and experienced programmers
- Use R with the tidyverse package to get, clean, prepare, analyze, and visualize data like a professional
- Real-world data analysis to critically understand the concepts
- Published by Mike Murach & Associates since 1972
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