We may earn an affiliate commission when you visit our partners.
Course image
Moses Gummadi

This Guided Project 'Financial Analytics in RStudio: Identify Profit Drivers' is for Supply Chain and/or Operations Analysts. In this 2-hour long project-based course, you will learn how to determine operational & financial performance, calculate Operating Margin (OM), and plot OM waterfall chart showing OM variance drivers.

Enroll now

Two deals to help you save

We found two deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Project Overview
Welcome to "Financial Analytics in RStudio: Identify Profit Drivers". This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn how to determine operational & financial performance, calculate Operating Margin (OM), and plot OM waterfall chart showing OM variance drivers.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course includes hands-on labs and materials which experts recommend for improving retention and skill development
Structured for advanced learners who have a good understanding of supply chain and operations analysis and who want to develop or further enhance their skills in financial performance analysis
Taught by recognized experts in the field of financial analysis and operations leadership
Focus on operational and financial performance, a foundational skillset in supply chain and operations management
Provides opportunities for learners to engage with materials in a variety of formats, keeping learning interesting and promoting multiple learning styles

Save this course

Save Financial Analytics in RStudio: Identify Profit Drivers to your list so you can find it easily later:
Save

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 Financial Analytics in RStudio: Identify Profit Drivers with these activities:
Review basic accounting concepts
Having a strong foundation in accounting will help you understand the financial concepts covered in this course.
Browse courses on Accounting
Show steps
  • Read a book or article on basic accounting concepts
  • Complete a few practice exercises on accounting
Review RStudio basics
RStudio is the main software we will use in this course, so it's important to have a solid understanding of its basics.
Browse courses on RStudio
Show steps
  • Watch a tutorial on RStudio basics
  • Complete a few practice exercises in RStudio
Review Business Analysis for Decision Making
Review basic principles and techniques from Financial Analytics in RStudio by understanding business processes and their decision-making.
View Business Analytics on Amazon
Show steps
  • Read chapters 1-4 of the book.
  • Take notes on key concepts and definitions.
  • Complete the practice exercises at the end of each chapter.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Complete additional RStudio tutorials
There are several free RStudio tutorials available online, which can provide you with additional practice and help you learn more advanced techniques.
Show steps
  • Find an RStudio tutorial that covers a topic you're interested in
  • Follow the tutorial and complete the exercises
Follow online tutorials on RStudio for financial analysis
Enhance your proficiency in RStudio and financial analysis techniques through guided instructions.
Browse courses on RStudio
Show steps
  • Find online tutorials on RStudio for financial analysis.
  • Follow the tutorials step-by-step.
  • Complete the practice exercises provided in the tutorials.
Join a study group or online forum for Financial Analytics in RStudio
Connect with peers and engage in discussions to enhance your understanding of the course material.
Browse courses on Financial Analysis
Show steps
  • Find a study group or online forum for Financial Analytics in RStudio.
  • Participate in discussions and ask questions to clarify concepts.
  • Share your knowledge and insights with other members of the group.
Participate in a peer study group
Peer study groups can be a great way to learn from others, share ideas, and test your understanding of the course material.
Show steps
  • Find a group of peers who are also taking the course
  • Meet regularly to discuss the course material
Solve practice problems on financial analysis
Reinforce your understanding of financial analysis concepts by solving practice problems.
Browse courses on Financial Analysis
Show steps
  • Find practice problems on financial analysis.
  • Solve the problems using the concepts and techniques learned in Financial Analytics in RStudio.
  • Check your answers against the provided solutions.
Solve financial operations problems
Practicing financial operations problems will help you solidify your understanding of the concepts covered in this course.
Show steps
  • Find a set of financial operations problems to solve
  • Work through the problems step-by-step
  • Check your answers against the provided solutions
Create a financial analysis report on a real-world company
Apply the concepts and techniques learned in Financial Analytics in RStudio to a real-world scenario.
Browse courses on Financial Analysis
Show steps
  • Choose a company to analyze.
  • Gather financial data from the company's website and other sources.
  • Build a financial model using RStudio.
  • Analyze the company's financial performance.
  • Write a report summarizing your findings.
Attend workshops on financial analysis or RStudio
Gain hands-on experience and learn from industry experts in the field of financial analysis.
Browse courses on Financial Analysis
Show steps
  • Find workshops on financial analysis or RStudio.
  • Attend the workshops and participate actively in the exercises.
  • Network with professionals in the field.
Start a personal finance project
Starting a personal finance project will give you a chance to apply the concepts you've learned in this course to your own life.
Show steps
  • Choose a personal finance goal
  • Develop a plan to reach your goal
  • Track your progress and make adjustments as needed
Create a summary of the course
Creating a summary of the course will help you synthesize the material and identify the key concepts.
Show steps
  • Go through the course materials and identify the key concepts
  • Write a summary of each key concept
  • Combine your summaries into a single document
Build a financial model in RStudio
Building a financial model in RStudio will give you a chance to apply the skills you've learned in this course to a real-world problem.
Show steps
  • Choose a financial problem to model
  • Gather the necessary data
  • Build the model in RStudio
  • Validate and test the model

Career center

Learners who complete Financial Analytics in RStudio: Identify Profit Drivers will develop knowledge and skills that may be useful to these careers:
Operations Research Analyst
Operations Research Analysts use analytical techniques to solve complex business problems, including those related to supply chain and operations management. This course can help Operations Research Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Financial Analyst
Financial Analysts use financial data to evaluate and advise on investment opportunities. This course can help Financial Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop investment strategies.
Business Analyst
Business Analysts use data and analysis to help businesses improve their performance. This course can help Business Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Supply Chain Analyst
Supply Chain Analysts use data and analysis to improve the efficiency and effectiveness of supply chains. This course can help Supply Chain Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Operations Manager
Operations Managers oversee the day-to-day operations of a business. This course can help Operations Managers by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Systems Analyst
Systems Analysts use data and analysis to improve the efficiency and effectiveness of computer systems. This course can help Systems Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Investment Analyst
Investment Analysts use financial data to evaluate and advise on investment opportunities. This course can help Investment Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop investment strategies.
Financial Manager
Financial Managers oversee the financial operations of a business. This course can help Financial Managers by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Sales Analyst
Sales Analysts use data and analysis to improve sales performance. This course can help Sales Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve sales performance.
Management Consultant
Management Consultants use data and analysis to help businesses improve their performance. This course can help Management Consultants by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Technical Analyst
Technical Analysts use data and analysis to forecast financial market trends. This course can help Technical Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop investment strategies.
Statistician
Statisticians use data and analysis to solve problems. This course can help Statisticians by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Data Analyst
Data Analysts use data and analysis to solve business problems. This course can help Data Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to improve operational and financial performance.
Risk Analyst
Risk Analysts use data and analysis to identify and manage risks. This course can help Risk Analysts by providing them with the skills needed to analyze financial data, identify profit drivers, and develop strategies to mitigate risks.
Portfolio Manager
Portfolio Managers oversee the investment portfolios of individuals and institutions. This course can help Portfolio Managers by providing them with the skills needed to analyze financial data, identify profit drivers, and develop investment strategies.

Reading list

We've selected seven 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 Financial Analytics in RStudio: Identify Profit Drivers.
A good supplemental source for supply chain and operations management. Provides a comprehensive overview of the field, including topics such as supply chain design, inventory management, and logistics.
A valuable reference for using R in data analysis for economics. Provides practical knowledge about the capabilities of the R programming language and how it is used to analyze data in economics.
A good supplemental source for econometrics. Provides a comprehensive overview of the field, including topics such as regression analysis, time series analysis, and forecasting.
A good supplemental source for marketing management. Provides a comprehensive overview of the field, including topics such as marketing strategy, brand management, and digital marketing.
A good supplemental reference on corporate finance. Provides background information on the theory and practice of corporate financial managers.

Share

Help others find this course page by sharing it with your friends and followers:
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser