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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/rc19m5/analyze
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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
Provides real-world project experience using R quantmod package
Teaches foundational skills in stock data analysis
Suitable for beginners with interests in finance and data analysis
Project-based format encourages hands-on learning
Course duration is only one hour, which may be a constraint for some learners
Geographical restriction may limit accessibility for learners outside North America
Save this course
Save Analyze Stock Data using R and Quantmod Package to your list so you can find it easily later:
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Reviews summary
Fundamentals of stock data analysis
Learners say this course provides a good introduction to using R and Quantmod for stock data analysis. The course is well-received by learners, especially those who are new to R programming. Students appreciate the clear instruction and engaging assignments.
Good for learners new to R programming.
"It was a great course for beginners like me."
"I had no previous knowledge of R language, but it was easy to use it and learn how to manipulate stock data."
"These guided projects only work if you are allowed more time until you finish the project completely. I only got 2/3 of the course."
Instructor provides clear and easy-to-follow instruction.
"Instructor is awesome, easy to follow instruction."
"Very well explained"
"Thank u to all"
"Very helpful"
Lack of detail in explanations, especially for beginners in finance.
"Little explanation on the functions of quantdl."
"The questions at the end refer to things not covered in detail in the course."
"confuse, not relevant."
Limited time to complete guided projects.
"The limitation of time to watch videos is seriously flawed given that there is no pdf handout for material presented for reference."
"The time given for the course does not allow you to take notes."
"Rhyme interface is so confusing."
Some content, including the final section, may be missing or incomplete.
"Most of the content is not uploaded and the emulator is time limited. Poor."
"The last section was not available for viewing and hence, I technically did not complete the course fully."
"Rhyme, the online tool they use, does not work and kicks you off during the final section so you cannot finish the program or download the code."
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 Analyze Stock Data using R and Quantmod Package with these
activities:
Review basic financial concepts
Show steps
Review core financial concepts to ensure a strong foundation for understanding the course material and applying the quantmod package effectively.
Browse courses on
Financial Markets
Show steps
-
Read textbooks or online articles on financial markets and investment
-
Attend a workshop or presentation on financial literacy
Connect with experienced professionals in financial data analysis
Show steps
Establish connections with experienced professionals in financial data analysis to gain insights, receive guidance, and explore career opportunities.
Browse courses on
Mentorship
Show steps
-
Attend industry events and conferences
-
Reach out to potential mentors through LinkedIn or other platforms
-
Prepare questions and engage in meaningful conversations with mentors
Participate in online discussion forums
Show steps
Engage with peers in online discussion forums to share knowledge, ask questions, and clarify concepts, fostering a collaborative learning environment.
Show steps
-
Join the course discussion forums
-
Participate in ongoing discussions by posting questions and responses
-
Collaborate with peers on specific topics or projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using the R quantmod package
Show steps
Practice using the R quantmod package to manipulate and analyze stock data, providing hands-on experience and solidifying understanding of the course material.
Browse courses on
Quantmod Package
Show steps
-
Set up your R environment and install the quantmod package
-
Import and explore historical stock data
-
Perform basic analysis on the data, such as calculating moving averages and plotting time series
-
Conduct more advanced analysis, such as technical indicators and risk assessment
Follow tutorials on time series analysis
Show steps
Enhance understanding of time series analysis techniques and their application to stock data analysis by following guided tutorials, providing practical experience.
Browse courses on
Time Series Analysis
Show steps
-
Identify and select reputable tutorials on time series analysis
-
Work through the tutorials, applying the concepts to stock data
-
Experiment with different time series models and evaluation metrics
Develop a stock analysis dashboard
Show steps
Create an interactive stock analysis dashboard that allows users to visualize and explore the data, providing a deeper understanding of stock trends and patterns.
Browse courses on
Data Visualization
Show steps
-
Define the dashboard's purpose and target audience
-
Gather and prepare the necessary data
-
Design and develop the dashboard using visualization tools
-
Test and refine the dashboard based on user feedback
Record a video summarizing the course content
Show steps
Reinforce understanding and consolidate learning by creating a video summary of the course content, enabling active recall and deeper engagement with the material.
Browse courses on
Knowledge Sharing
Show steps
-
Organize and outline the key concepts and topics of the course
-
Write a script or storyboard for your video
-
Record and edit your video presentation
-
Share your video with peers or upload it to an online platform
Review basic financial concepts
Show steps
Review core financial concepts to ensure a strong foundation for understanding the course material and applying the quantmod package effectively.
Browse courses on
Financial Markets
Show steps
Show steps
Show steps
- Read textbooks or online articles on financial markets and investment
- Attend a workshop or presentation on financial literacy
Connect with experienced professionals in financial data analysis
Show steps
Establish connections with experienced professionals in financial data analysis to gain insights, receive guidance, and explore career opportunities.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Reach out to potential mentors through LinkedIn or other platforms
- Prepare questions and engage in meaningful conversations with mentors
Participate in online discussion forums
Show steps
Engage with peers in online discussion forums to share knowledge, ask questions, and clarify concepts, fostering a collaborative learning environment.
Show steps
Show steps
Show steps
- Join the course discussion forums
- Participate in ongoing discussions by posting questions and responses
- Collaborate with peers on specific topics or projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using the R quantmod package
Show steps
Practice using the R quantmod package to manipulate and analyze stock data, providing hands-on experience and solidifying understanding of the course material.
Browse courses on
Quantmod Package
Show steps
Show steps
Show steps
- Set up your R environment and install the quantmod package
- Import and explore historical stock data
- Perform basic analysis on the data, such as calculating moving averages and plotting time series
- Conduct more advanced analysis, such as technical indicators and risk assessment
Follow tutorials on time series analysis
Show steps
Enhance understanding of time series analysis techniques and their application to stock data analysis by following guided tutorials, providing practical experience.
Browse courses on
Time Series Analysis
Show steps
Show steps
Show steps
- Identify and select reputable tutorials on time series analysis
- Work through the tutorials, applying the concepts to stock data
- Experiment with different time series models and evaluation metrics
Develop a stock analysis dashboard
Show steps
Create an interactive stock analysis dashboard that allows users to visualize and explore the data, providing a deeper understanding of stock trends and patterns.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Define the dashboard's purpose and target audience
- Gather and prepare the necessary data
- Design and develop the dashboard using visualization tools
- Test and refine the dashboard based on user feedback
Record a video summarizing the course content
Show steps
Reinforce understanding and consolidate learning by creating a video summary of the course content, enabling active recall and deeper engagement with the material.
Browse courses on
Knowledge Sharing
Show steps
Show steps
Show steps
- Organize and outline the key concepts and topics of the course
- Write a script or storyboard for your video
- Record and edit your video presentation
- Share your video with peers or upload it to an online platform
Career center
Learners who complete Analyze Stock Data using R and Quantmod Package will develop knowledge and skills
that may be useful to these careers:
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Quantitative Analysts who need to be able to analyze financial data to make informed investment decisions.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make recommendations on investments. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Financial Analysts who need to be able to analyze financial data to make informed investment decisions.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess financial risks. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Risk Analysts who need to be able to analyze financial data to identify and assess financial risks.
Portfolio Manager
Portfolio Manager
Portfolio Managers manage investment portfolios. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Portfolio Managers who need to be able to analyze financial data to make informed investment decisions.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess financial risks. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Actuaries who need to be able to analyze financial data to assess financial risks.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Data Scientists who need to be able to analyze data to solve business problems.
Investment Analyst
Investment Analyst
Investment Analysts research and analyze stocks and other investment opportunities. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Investment Analysts who need to be able to analyze financial data to make informed investment decisions.
Financial Planner
Financial Planner
Financial Planners help people plan for their financial future. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Financial Planners who need to be able to analyze financial data to help people plan for their financial future.
Economist
Economist
Economists study economic trends and data. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Economists who need to be able to analyze financial data to study economic trends and data.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Statisticians who need to be able to analyze data to collect, analyze, and interpret data.
Business Analyst
Business Analyst
Business Analysts use data to solve business problems. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Business Analysts who need to be able to analyze data to solve business problems.
Market Researcher
Market Researcher
Market Researchers study market trends and data. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Market Researchers who need to be able to analyze data to study market trends and data.
Auditor
Auditor
Auditors examine financial records to ensure that they are accurate and complete. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data. These skills are essential for Auditors who need to be able to analyze financial data to examine financial records to ensure that they are accurate and complete.
Data Entry Clerk
Data Entry Clerk
Data Entry Clerks enter data into computer systems. This course may be useful for you if you are interested in developing the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data.
Teacher
Teacher
Teachers teach students in a variety of subjects. This course may be useful for you if you are interested in developing the skills needed to succeed in this role by providing you with a strong foundation in data analysis using R and the Quantmod package. You will learn how to pull down stock data, perform analytics, and pass financial risk functions to the data.
For more career information including salaries, visit:
OpenCourser.com/course/rc19m5/analyze
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
Analyze Stock Data using R and Quantmod Package.
Provides a comprehensive overview of the field of financial risk management. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the field of financial econometrics. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the field of asset pricing. It valuable resource for those who want to learn more about this topic.
Save
Provides a comprehensive overview of time series analysis techniques. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the econometrics of financial markets. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the field of behavioral finance. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the field of corporate finance. It valuable resource for those who want to learn more about this topic.
Save
Provides a comprehensive overview of the field of international finance. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of the field of economic growth. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of statistical learning techniques. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of machine learning techniques and their applications in finance. It valuable resource for those who want to learn more about this topic.
Provides a comprehensive overview of quantitative finance and is written in a clear and concise style. It good starting point for those who are new to the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rc19m5/analyze
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Effort
2 Hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Chris Shockley
Language
English
Good to know
Provides real-world project experience using R quantmod package
Teaches foundational skills in stock data analysis
Suitable for beginners with interests in finance and data analysis
Project-based format encourages hands-on learning
Course duration is only one hour, which may be a constraint for some learners
Geographical restriction may limit accessibility for learners outside North America
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