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Application of Data Analysis in Business with R Programming
Coursera Project Network

Application of Data Analysis in Business with R Programming

Taught in English

Nilosree Sengupta

Instructor: Nilosree Sengupta

8,024 already enrolled

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.3

(117 reviews)

What you'll learn

  • Apply Data Manipulation and Data Visualization.

  • Analyze trends and patterns of business data.

  • Find Correlation to understand the relationship between variables.

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.3

(117 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Explore and transform Data based on rows.

  2. Transform Data based on columns.

  3. Statistical Interpretation of data(Descriptive Statistics).

  4. Practice the skills of Data Manipulation.

  5. Build Column plot and Scatter plot to analyse trends and patterns.

  6. Build Line Plot and Histogram to analyse trends and patterns.

  7. Build Circular plots to analyse trends and patterns.

  8. Practice the skills of Data Visualization.

  9. Find Correlation to understand the relationship between variables.

  10. Capstone Task: Cumulative challenge task where learners will have to transform data, make statistical interpretation, make graphical representations of data and build correlation matrix.

Recommended experience

Fundamental knowledge of R programming like syntax, operators,functions,etc )Statistics and familiarity with using RStudio(loading datasets,etc).

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Instructor

Nilosree Sengupta
Coursera Project Network
1 Course8,024 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Learner reviews

Showing 3 of 117

4.3

117 reviews

  • 5 stars

    62.71%

  • 4 stars

    19.49%

  • 3 stars

    11.01%

  • 2 stars

    2.54%

  • 1 star

    4.23%

BS
5

Reviewed on Oct 29, 2022

IP
5

Reviewed on Oct 15, 2022

G
5

Reviewed on Oct 25, 2022

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