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Chris Shockley
In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data.
Read more
In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data.
Read more
In this 1-hour long project-based course, you will learn how to pull down Stock Data using the R quantmod package. You will also learn how to perform analytics and pass financial risk functions to the data.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/rsf4hw/stock
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What's inside
Syllabus
Project Overview
Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners learning to pull down stock data using the R quantmod package
Teaches analytics and financial risk functions to pass to the data
Offers a comprehensive study of stock data and financial risk
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Save Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package to your list so you can find it easily later:
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Reviews summary
Intermediate stock analysis using r
Learners say this intermediate stock analysis course is practical. It applies concepts in R using the Quantmod Package. Students enjoy its guided projects and find the material relevant to practical applications.
Engaging course projects
"The project was enlightening and I have developed a taste for coding."
Practical R implementation
"The best idea of the human kind are guided project, ti tis the best for real education I love it, I recommend this course because is practical not wasting time on waffling."
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 Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package with these
activities:
Refresh Intro to Finance
Show steps
Review fundamentals of finance to enhance understanding of course materials
Browse courses on
Finance
Show steps
-
Review financial statements
-
Revisit time value of money calculations
Organize Course Content
Show steps
Stay organized and enhance retention by compiling and reviewing course materials regularly
Show steps
-
Create a system for organizing notes, assignments, and readings
-
Review and summarize key concepts periodically
Learn Python for Financial Analysis
Show steps
Expand knowledge of Python for financial analysis to enhance course applicability
Browse courses on
Python
Show steps
-
Follow tutorials to install and set up Python for financial analysis
-
Practice using Python libraries for data manipulation and analysis
Four other activities
Expand to see all activities and additional details
Show all seven activities
Discussion Group
Show steps
Engage with peers to discuss course topics and exchange perspectives
Show steps
-
Participate in online discussion forums
-
Attend virtual study sessions
Practice Analytics
Show steps
Apply analytics skills through guided practice to reinforce course concepts
Browse courses on
Analytics
Show steps
-
Analyze company financial data using ratios
-
Create visualizations to present financial insights
Stock Analysis Report
Show steps
Showcase understanding of financial risk and analytics through a comprehensive stock analysis report
Browse courses on
Stock Analysis
Show steps
-
Select a company to analyze
-
Perform financial analysis and risk assessment
-
Write a comprehensive report summarizing findings and recommendations
Financial Literacy Workshop
Show steps
Apply course knowledge by volunteering at a financial literacy workshop to enhance communication and teaching skills
Browse courses on
Financial Literacy
Show steps
-
Contact local organizations to offer volunteer services
-
Prepare and deliver presentations on financial management topics
-
Provide guidance to individuals seeking financial assistance
Refresh Intro to Finance
Show steps
Review fundamentals of finance to enhance understanding of course materials
Browse courses on
Finance
Show steps
Show steps
Show steps
- Review financial statements
- Revisit time value of money calculations
Organize Course Content
Show steps
Stay organized and enhance retention by compiling and reviewing course materials regularly
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and readings
- Review and summarize key concepts periodically
Learn Python for Financial Analysis
Show steps
Expand knowledge of Python for financial analysis to enhance course applicability
Browse courses on
Python
Show steps
Show steps
Show steps
- Follow tutorials to install and set up Python for financial analysis
- Practice using Python libraries for data manipulation and analysis
Four other activities
Expand to see all activities and additional details
Show all seven activities
Discussion Group
Show steps
Engage with peers to discuss course topics and exchange perspectives
Show steps
Show steps
Show steps
- Participate in online discussion forums
- Attend virtual study sessions
Practice Analytics
Show steps
Apply analytics skills through guided practice to reinforce course concepts
Browse courses on
Analytics
Show steps
Show steps
Show steps
- Analyze company financial data using ratios
- Create visualizations to present financial insights
Stock Analysis Report
Show steps
Showcase understanding of financial risk and analytics through a comprehensive stock analysis report
Browse courses on
Stock Analysis
Show steps
Show steps
Show steps
- Select a company to analyze
- Perform financial analysis and risk assessment
- Write a comprehensive report summarizing findings and recommendations
Financial Literacy Workshop
Show steps
Apply course knowledge by volunteering at a financial literacy workshop to enhance communication and teaching skills
Browse courses on
Financial Literacy
Show steps
Show steps
Show steps
- Contact local organizations to offer volunteer services
- Prepare and deliver presentations on financial management topics
- Provide guidance to individuals seeking financial assistance
Career center
Learners who complete Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to analyze and interpret data. They work in a variety of industries, including finance, healthcare, and technology. The skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Data Scientist. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Data Scientists in the financial industry.
Statistician
Statistician
Statisticians use their knowledge of statistics to analyze and interpret data. They work in a variety of industries, including government, academia, and business. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Statistician. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Statisticians.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work in a variety of industries, including finance, healthcare, and technology. The skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Software Engineer. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Software Engineers in the financial industry.
Data Analyst
Data Analyst
Data Analysts use their knowledge of statistics and programming to analyze and interpret data. This data can be used to make better decisions, improve processes, or develop new products. The skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Data Analyst. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Data Analysts, especially in the financial industry.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of accounting and finance to analyze and interpret financial data. This data can be used to make investment decisions, create financial models, or develop business plans. The skills taught in this course, such as pulling down stock data and performing analytics, can help aspiring Financial Analysts develop the technical skills necessary to succeed in this role. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Financial Analysts.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts (QAs) apply mathematical and statistical methods to financial data to help make investment decisions. Some QAs work for hedge funds to identify mispriced assets or help build trading models. Others work for investment banks to help underwrite securities or develop new products. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a QA. This course may be particularly helpful for those who wish to enter the financial industry as a QA and learn more about the tools and techniques used in the field.
Actuary
Actuary
Actuaries use their knowledge of mathematics and statistics to assess and manage risks. They work in a variety of industries, including insurance, healthcare, and finance. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as an Actuary. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Actuaries.
Investment Banker
Investment Banker
Investment Bankers help companies raise capital and provide financial advice. They work on a variety of transactions, including mergers and acquisitions, initial public offerings, and debt offerings. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as an Investment Banker. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Investment Bankers.
Portfolio Manager
Portfolio Manager
Portfolio Managers are responsible for managing investment portfolios for their clients. They make decisions about which investments to buy and sell, and how to allocate assets within the portfolio. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Portfolio Manager. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Portfolio Managers.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying and managing risks within an organization. They work to mitigate risks that could potentially harm the organization, such as financial risks, operational risks, and legal risks. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Risk Manager. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Risk Managers.
Financial Planner
Financial Planner
Financial Planners help individuals and families plan for their financial future. They provide advice on a variety of topics, such as retirement planning, investment planning, and estate planning. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Financial Planner. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Financial Planners.
Economist
Economist
Economists use their knowledge of economics to analyze and interpret economic data. They work in a variety of industries, including government, academia, and business. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as an Economist. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Economists.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research to gather information about markets and customers. They use this information to help businesses make better decisions about product development, marketing, and pricing. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Market Research Analyst. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Market Research Analysts in the financial industry.
Financial Advisor
Financial Advisor
Financial Advisors provide financial advice to individuals and families. They help clients with a variety of financial planning needs, such as retirement planning, investment planning, and estate planning. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Financial Advisor. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Financial Advisors.
Quantitative Researcher
Quantitative Researcher
Quantitative Researchers apply mathematical and statistical methods to financial data to help make investment decisions. Some Quantitative Researchers work for hedge funds to identify mispriced assets or help build trading models. Others work for investment banks to help underwrite securities or develop new products. The knowledge and skills taught in this course, such as pulling down stock data, performing analytics, and passing financial risk functions to the data, can help build a foundation for a job as a Quantitative Researcher. This course may be particularly helpful for those who wish to learn more about the tools and techniques used by Quantitative Researchers.
For more career information including salaries, visit:
OpenCourser.com/course/rsf4hw/stock
Reading list
We've selected 12 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
Stock Analysis: Create a Buy Signal Filter using R and the Quantmod Package.
This collection of essays by Warren Buffett provides a unique insight into the mind of one of the world's most successful investors. It valuable resource for students looking to learn from the master.
This classic book by Benjamin Graham is considered one of the most important books on investing ever written. It provides a timeless framework for making sound investment decisions, and it must-read for any serious investor.
This comprehensive textbook on security analysis provides a detailed overview of the fundamental principles of investing. It valuable resource for students looking to gain a deeper understanding of the theory and practice of security analysis.
Save
Provides a simple and straightforward guide to investing for the long term. It great resource for students who are just starting to learn about investing.
This ancient Chinese military treatise is not directly related to the course, but it may be of interest to students who are interested in the broader context of strategy and decision-making.
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of financial markets.
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of financial markets.
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of financial markets.
Save
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of human behavior and decision-making.
Save
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of cognitive psychology.
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of risk and uncertainty.
Is not directly related to the course, but it may be of interest to students who are interested in the broader context of financial markets.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rsf4hw/stock
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Effort
2 Hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Chris Shockley
Language
English
Good to know
Builds a strong foundation for beginners learning to pull down stock data using the R quantmod package
Teaches analytics and financial risk functions to pass to the data
Offers a comprehensive study of stock data and financial risk
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