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Exploratory Data Analysis with R

Learn how to perform exploratory data analysis with R to complete day-to-day developer tasks.

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.

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What's inside

Syllabus

Introduction to R

Transforming and Cleaning Data

Calculating Descriptive Statistics

Visualizing Data

Moving Beyond R and Exploratory Data Analysis

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces R, a popular programming language for data analysis in industry

Helps developers complete day-to-day data analysis tasks

Covers key aspects of exploratory data analysis, including data cleaning, descriptive statistics, and visualization

Applicable to various industries and roles requiring data analysis skills

Delivered by Matthew Renze, an experienced instructor

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Exploratory Data Analysis with R with these activities:

Explore RStudio tutorials

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Familiarize yourself with the RStudio platform to enhance your efficiency and productivity in R.

Browse courses on RStudio

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Complete the introductory tutorials provided by RStudio.
Follow along with videos or written guides to learn key RStudio features.
Experiment with different RStudio functions and packages.

Join a study group or forum

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Engage with peers to discuss course concepts, share knowledge, and provide support.

Browse courses on R Programming

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Join a study group or online forum dedicated to R programming.
Participate in discussions, ask questions, and offer assistance to others.
Collaborate on projects or assignments to enhance your understanding.

Solve coding exercises

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Reinforce your R programming skills by solving coding challenges and exercises.

Browse courses on R Programming

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Find practice problems online or in textbooks.
Attempt to solve the problems independently.
Check your solutions against provided answers or consult with peers for feedback.

Four other activities

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Create a resource library

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Organize and expand your knowledge by compiling relevant resources such as tutorials, articles, and code snippets.

Browse courses on R Programming

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Identify and collect useful resources related to R programming.
Organize the resources into a structured format, such as a digital notebook or folder.
Continuously add to and update the library as you learn new concepts.

Participate in online coding challenges

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Test and improve your R programming skills by participating in online coding challenges.

Browse courses on R Programming

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Find reputable online platforms that host R coding challenges.
Select challenges that align with your skill level and interests.
Attempt to solve the challenges independently.
Review your solutions, identify areas for improvement, and repeat the process.

Develop a data visualization project

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Apply your R skills to create a data visualization that showcases your understanding of data analysis and presentation.

Browse courses on Data Visualization

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Choose a dataset and identify a meaningful question to explore.
Clean and prepare the data using R.
Create visualizations using appropriate R packages.
Write a brief report summarizing your findings.

Develop a data analysis portfolio

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Showcase your R programming abilities and data analysis skills by creating a portfolio of projects that demonstrate your expertise.

Browse courses on R Programming

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Identify a set of projects that represent your best work.
Write detailed reports that describe the problem statement, methodology, results, and conclusions for each project.
Include code snippets, visualizations, and other relevant materials to support your findings.
Present your portfolio to potential employers or clients to highlight your data analysis capabilities.

Career center

Learners who complete Exploratory Data Analysis with R will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. R is a popular programming language for data analysis, and this course will provide you with the skills you need to use R for data analysis tasks. This course will help you build a foundation in data analysis and prepare you for a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses make informed decisions. R is a popular programming language for statistics, and this course will provide you with the skills you need to use R for statistical tasks. This course will help you build a foundation in statistics and prepare you for a career as a Statistician.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists use data to solve business problems. R is a powerful tool for data science, and this course will provide you with the skills you need to use R for data science tasks. This course will help you build a foundation in data science and prepare you for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Operations Research Analyst

Operations Research Analysts use data to make decisions about how to improve business operations. R is a popular programming language for operations research, and this course will provide you with the skills you need to use R for operations research tasks. This course will help you build a foundation in operations research and prepare you for a career as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. R is a popular programming language for software development, and this course will provide you with the skills you need to use R for software development tasks. This course will help you build a foundation in software development and prepare you for a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Financial Analyst

Financial Analysts use data to make investment decisions. R is a popular programming language for financial analysis, and this course will provide you with the skills you need to use R for financial analysis tasks. This course will help you build a foundation in financial analysis and prepare you for a career as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data to identify and mitigate risks. R is a popular programming language for risk analysis, and this course will provide you with the skills you need to use R for risk analysis tasks. This course will help you build a foundation in risk analysis and prepare you for a career as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines. R is a popular programming language for data engineering, and this course will provide you with the skills you need to use R for data engineering tasks. This course will help you build a foundation in data engineering and prepare you for a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. R is a popular programming language for quantitative analysis, and this course will provide you with the skills you need to use R for quantitative analysis tasks. This course will help you build a foundation in quantitative analysis and prepare you for a career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use data to assess and manage risk. R is a popular programming language for actuarial science, and this course will provide you with the skills you need to use R for actuarial science tasks. This course will help you build a foundation in actuarial science and prepare you for a career as an Actuary.

See salaries and explore the career path for Actuary

Epidemiologist

Epidemiologists use data to study the distribution and determinants of health-related states or events in specified populations. R is a popular programming language for epidemiology, and this course will provide you with the skills you need to use R for epidemiology tasks. This course will help you build a foundation in epidemiology and prepare you for a career as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Biostatistician

Biostatisticians use data to solve problems in the life sciences. R is a popular programming language for biostatistics, and this course will provide you with the skills you need to use R for biostatistics tasks. This course will help you build a foundation in biostatistics and prepare you for a career as a Biostatistician.

See salaries and explore the career path for Biostatistician

Market Researcher

Market Researchers use data to understand consumer behavior. R is a popular programming language for market research, and this course will provide you with the skills you need to use R for market research tasks. This course will help you build a foundation in market research and prepare you for a career as a Market Researcher.

See salaries and explore the career path for Market Researcher

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. R is a popular programming language for machine learning, and this course will provide you with the skills you need to use R for machine learning tasks. This course will help you build a foundation in machine learning and prepare you for a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use data to help businesses make informed decisions. R is a popular programming language for business analysis, and this course will provide you with the skills you need to use R for business analysis tasks. This course will help you build a foundation in business analysis and prepare you for a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Exploratory Data Analysis with R.

R for Data Science

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Provides a comprehensive introduction to the R programming language and its use in data science. It covers topics such as data manipulation, visualization, and statistical modeling, and it valuable resource for both beginners and experienced R users.

Exploratory Data Analysis with R

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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