Data Analytics

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Learn more about data analytics and career opportunities with these resources.

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[Featured Image] A group of data analysts engaged in a discussion in a professional setting, reviewing graphs and charts displayed on both paper and a computer screen while comparing R and Tableau for data analysis and visualization.

R vs. Tableau: What’s the Difference?

Explore the R versus Tableau debate, learning the unique strengths of these data analysis and visualization tools. Discover how they’re used and what sets them apart. Learn more about R’s programming capabilities and Tableau’s business intelligence tools.

March 18, 2025

Article

[Feature Image] A learner talks to their mentor to compare R vs. Excel and their use cases to better understand each program.

R vs. Excel: What’s the Difference?

Explore the differences between R and Excel, two powerful tools that you can use for data analysis.

March 18, 2025

Article

[Featured Image] A recruiter reviewing a candidate's resume in a professional setting, emphasizing the importance of showcasing R programming skills to secure a job in the field.

How to Write an R Programming Resume (Step-by-Step with Examples)

Discover how to highlight in-demand skills on your R programming resume with this guide designed to support your career goals.

March 18, 2025

Article

[Featured Image] A group of data analysts engaged in a discussion in a professional setting, reviewing graphs and charts displayed on both paper and a computer screen while comparing R and Tableau for data analysis and visualization.

R vs. Tableau: What’s the Difference?

Explore the R versus Tableau debate, learning the unique strengths of these data analysis and visualization tools. Discover how they’re used and what sets them apart. Learn more about R’s programming capabilities and Tableau’s business intelligence tools.

March 18, 2025

Article

[Feature Image] A learner talks to their mentor to compare R vs. Excel and their use cases to better understand each program.

R vs. Excel: What’s the Difference?

Explore the differences between R and Excel, two powerful tools that you can use for data analysis.

March 18, 2025

Article

Discover courses in data analytics

Status: Free Trial
Status: New AI skills

Google

Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Professional Networking, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics)

Build toward a degree

4.8
Rating, 4.8 out of 5 stars
169K reviews

Beginner · Professional Certificate · 3 - 6 Months

Status: Free Trial

IBM

Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Warehousing, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, Relational Databases

4.8
Rating, 4.8 out of 5 stars
19K reviews

Beginner · Course · 1 - 3 Months

Status: Free Trial
Status: AI skills

IBM

Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, SQL, Predictive Modeling, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Big Data, Matplotlib, Statistical Analysis, Pandas (Python Package), IBM Cognos Analytics, Excel Formulas, Professional Networking

Build toward a degree

4.6
Rating, 4.6 out of 5 stars
92K reviews

Beginner · Professional Certificate · 3 - 6 Months

[Featured Image] A recruiter and a candidate shaking hands in a professional workplace setting, smiling while discussing common R programming interview questions.

14 Common R Programming Interview Questions and How to Prepare

Mastering R programming interview questions is key to landing a data-focused job. Learn more about common interview questions and how to showcase your technical skills as well as demonstrate your ability to solve real-world data problems.

March 18, 2025

Article

[Featured Image] Two data scientists use PySpark for data processing and analysis while working on a machine learning model.

Understanding PySpark

PySpark is a helpful tool for data processing. Explore its various uses, discover its benefits and potential challenges, and learn how to leverage the tool in your own projects.

March 18, 2025

Article

[Featured Image] A computer programmer is presenting information on Julia versus R.

Julia vs. R: What’s the Difference?

Learn about the differences and use cases between two powerful statistical programming languages, Julia and R.

March 18, 2025

Article

[Featured Image] A business intelligence professional uses Splunk for data analysis.

What Is Splunk?

Learn about Splunk’s architecture, key features, and most common applications. Explore its pros and cons and find ways to become proficient in using this tool for data analysis and more.

March 18, 2025

Article

[Featured Image] Computer programmers working in a professional environment, focused on their computers displaying code, discuss the use of SciPy for scientific and mathematical computations in Python.

What Is SciPy?

Scientific Python (SciPy) is an open-source data processing library. Explore what SciPy is, what you can use it for, who typically uses SciPy, and more.

March 18, 2025

Article

[Featured Image] A professional is reading through a stack of big data resumes.

How to Write a Big Data Resume (Step-by-Step with Examples)

You can work with big data in various jobs, handling many data sets. Discover more about the skills you need to add to your resume to get a position working with big data.

March 18, 2025

Article

[Featured Image] A web developer works with semi-structured data at their workspace.

What Is Semi-structured Data?

Explore the nuances of semi-structured data, a middle ground between structured and unstructured data.

March 18, 2025

Article

[Feature Image] An aspiring natural language processing professional researches “What is an N-gram” on their laptop as part of their coursework.

What Is An N-Gram?

Explore N-grams to learn what they are, their benefits, and how you can use them in natural language processing to help computers understand and predict language.

March 18, 2025

Article

[Featured Image] A professional working in their home office with their toddler on their lap has a video conference with a colleague while looking at an exploding pie chart on their computer monitor.

What Is a Pie Chart? Data Visualization in Action

Learn more about pie charts by exploring what this powerful data visualization tool is, common applications, and tips for creating your own pie chart.

March 18, 2025

Article

[Featured Image] A recruiter reviewing a candidate's resume in a professional setting, emphasizing the importance of showcasing R programming skills to secure a job in the field.

How to Write an R Programming Resume (Step-by-Step with Examples)

Discover how to highlight in-demand skills on your R programming resume with this guide designed to support your career goals.

March 18, 2025

Article

[Featured Image] A recruiter and a candidate shaking hands in a professional workplace setting, smiling while discussing common R programming interview questions.

14 Common R Programming Interview Questions and How to Prepare

Mastering R programming interview questions is key to landing a data-focused job. Learn more about common interview questions and how to showcase your technical skills as well as demonstrate your ability to solve real-world data problems.

March 18, 2025

Article

[Featured Image] Two data scientists use PySpark for data processing and analysis while working on a machine learning model.

Understanding PySpark

PySpark is a helpful tool for data processing. Explore its various uses, discover its benefits and potential challenges, and learn how to leverage the tool in your own projects.

March 18, 2025

Article

[Featured Image] A computer programmer is presenting information on Julia versus R.

Julia vs. R: What’s the Difference?

Learn about the differences and use cases between two powerful statistical programming languages, Julia and R.

March 18, 2025

Article

[Featured Image] A business intelligence professional uses Splunk for data analysis.

What Is Splunk?

Learn about Splunk’s architecture, key features, and most common applications. Explore its pros and cons and find ways to become proficient in using this tool for data analysis and more.

March 18, 2025

Article

[Featured Image] Computer programmers working in a professional environment, focused on their computers displaying code, discuss the use of SciPy for scientific and mathematical computations in Python.

What Is SciPy?

Scientific Python (SciPy) is an open-source data processing library. Explore what SciPy is, what you can use it for, who typically uses SciPy, and more.

March 18, 2025

Article

[Featured Image] A professional is reading through a stack of big data resumes.

How to Write a Big Data Resume (Step-by-Step with Examples)

You can work with big data in various jobs, handling many data sets. Discover more about the skills you need to add to your resume to get a position working with big data.

March 18, 2025

Article

[Featured Image] A web developer works with semi-structured data at their workspace.

What Is Semi-structured Data?

Explore the nuances of semi-structured data, a middle ground between structured and unstructured data.

March 18, 2025

Article

[Feature Image] An aspiring natural language processing professional researches “What is an N-gram” on their laptop as part of their coursework.

What Is An N-Gram?

Explore N-grams to learn what they are, their benefits, and how you can use them in natural language processing to help computers understand and predict language.

March 18, 2025

Article

[Featured Image] A professional working in their home office with their toddler on their lap has a video conference with a colleague while looking at an exploding pie chart on their computer monitor.

What Is a Pie Chart? Data Visualization in Action

Learn more about pie charts by exploring what this powerful data visualization tool is, common applications, and tips for creating your own pie chart.

March 18, 2025

Article

Every day, data analytics powers business decisions and product innovations around the world. Data analysts are in high demand across many industries.

Not sure where to start? We've compiled free articles and resources on this and other data topics, including:

  • AI and machine learning

  • Data basics

  • Data engineering

  • Data science

  • Generative AI and ChatGPT

Frequently Asked Questions (FAQ)