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Financial Analytics in RStudio: Identify Profit Drivers
Coursera Project Network

Financial Analytics in RStudio: Identify Profit Drivers

Taught in English

Moses Gummadi

Instructor: Moses Gummadi

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

What you'll learn

  • Import operational and financial raw data, and perform exploratory analysis of operational and financial performance.

  • Analyse the cost components, calculate the Operating Margin (OM) by period, and determine the factors driving the OM.

  • Calculate OM variance to plan & variance between periods. Determine factors driving OM variance. Plot OM waterfall, and identify corrective actions.

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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

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. Import raw data, perform exploratory analysis

  2. Calculate Operating Profit (OP)

  3. Calculate Operating Profit (OP) - Plan vs Actual

  4. Determine the drivers of Operating Profit

  5. Calculate OP Variance & Analyse Components

  6. Determine OP variance drivers. Plot OP waterfall chart.

  7. Capstone Task

Recommended experience

Basic R language (variables, vectors, data frames)

Familiarity with RStudio interface

Elementary knowledge of Operational Finance.

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Instructor

Moses Gummadi
Coursera Project Network
20 Courses7,413 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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