Data Analysis with R Programming

Google via Coursera

Go to Course: https://www.coursera.org/learn/data-analysis-r

Introduction

### Course Review: Data Analysis with R Programming on Coursera #### Overview The **Data Analysis with R Programming** course is the seventh course in the esteemed **Google Data Analytics Certificate** program on Coursera. This course is tailored to introduce learners to R, a powerful programming language used extensively in data analysis, and RStudio, a user-friendly environment that complements R. Whether you are looking to enhance your data analytical skills or are completely new to the field, this course promises comprehensive training in leveraging R to clean, organize, analyze, and visualize data effectively. #### Course Syllabus 1. **Programming and Data Analytics** - This introductory module lays the groundwork for understanding R as a programming language. You'll familiarize yourself with RStudio and recognize the advantages of this environment for data analytics. Key components that facilitate a smooth start with R are thoroughly covered, providing a solid foundation for the lessons to come. 2. **Programming using RStudio** - Building on the introduction, this module dives into the fundamental concepts of R programming. Here, you'll learn about essential programming elements like functions and variables, as well as how to work with **R packages**—bundles of R functions, data, and code that expand R's capabilities. This section empowers you to perform data analysis efficiently. 3. **Working with Data in R** - Dedicated to the core of data analysis, this part addresses how R handles data throughout its lifecycle. You will delve into data structures, notably data frames, and learn critical techniques for organizing, cleaning, and preparing data for analysis—all pivotal skills for an aspiring data analyst. The module also revisits data bias, enhancing your understanding of fair data practices. 4. **More about Visualizations, Aesthetics, and Annotations** - R is revolutionary for creating visual representations of data. In this module, you will learn practical skills to generate, troubleshoot, and refine visualizations using R. Insights into R's robust features that enhance the aesthetics of your visual outputs are invaluable for communicating data-driven findings effectively. 5. **Documentation and Reports** - Once your analysis is complete, presenting your findings is crucial. This final module introduces you to **R Markdown**, a dynamic file format that integrates R code into documents. You'll master the art of formatting, exporting, and incorporating R code chunks, allowing for professional and impactful presentations of your analytical results. #### Why You Should Take This Course - **Expert Instruction**: Current Google data analysts provide insights and guidance throughout the course, ensuring you learn from experienced professionals in the field. - **Hands-On Learning**: With practical exercises and real-world applications, you will gain confidence and proficiency in using R for data analysis. - **Flexible Learning Experience**: Coursera’s platform allows you to learn at your own pace, accommodating your scheduling needs while ensuring that the material is engaging and thorough. - **Comprehensive Skill Set**: This course equips you with essential skills that are in high demand among employers in today's data-driven marketplace. #### Recommendation I highly recommend the **Data Analysis with R Programming** course for anyone interested in entering the field of data analytics or looking to enhance their technical skills in R. With its hands-on approach and robust curriculum, you will gain a competitive edge whether you are starting your career as a data analyst or upskilling for advanced roles. Investing time in this course not only enriches your knowledge but also adds a significant credential to your professional repertoire. Embark on this educational journey and unlock the potential of R programming for your data analysis projects!

Syllabus

Programming and data analytics

R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.

Programming using RStudio

Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.

Working with data in R

The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.

More about visualizations, aesthetics, and annotations

R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.

Documentation and reports

When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.

Overview

This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you

Skills

Data Analysis R Markdown Data Visualization R Programming Rstudio

Reviews

Carrie's enthusiam for R was contagious. She provides clear and easy to understand explanations, and she is pleasant to listen to. It was easy to follow up. I am myself an R enthusiast now. Thank you!

Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.

Tough stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.

The course guided the concepts of R in a smooth manner teaching from basics to higher-level code. I really enjoyed each step and the project practices at each step helped strengthen the concepts.

Excellent course with lucid explaination. The way instructor covers the course makes you fall in love with R. All the topics are covered beautifully. Thank coursera and Google for this awesome course.