Practical Data Science: Analyzing Stock Market Data with R – Udemy

(10 customer reviews)



What you’ll learn

  • Use R on stock market data for insight and ideas
  • Download free, daily stock market data from Yahoo
  • Plot great looking financial charts
  • Apply basic technical analysis on stock market data
  • Explore trading ideas and display entries and exits
  • Gain additional insights by comparing similar stocks

In this class, we will explore various technical and quantitative analysis techniques using the R programming language. I will code as I go and explain what I am doing. All the code is included in PDFs attached to each lecture. I encourage you to code along to not only better understand the concepts but realize how easy they are.

What We’ll Cover

  1. Easily access free, stock-market data using R and the quantmod package
  2. Build great looking stock charts with quantmod
  3. Use R to manipulate time-series data
  4. Create a moving average from scratch
  5. Access technical indicators with the TTR package
  6. Create a simple trading systems by shifting time series using the binhf package
  7. A look at trend-following trading systems using moving averages
  8. A look at counter-trend trading systems using moving averages
  9. Using more sophisticated indicators (ROC, RSI, CCI, VWAP, Chaikin Volatility)
  10. Grouping stocks by theme to better understand them
  11. Finding coupling and decoupling stocks within an index

What This Class Isn’t

This class isn’t about telling you how to trade or revealing secret trading methods, but to show how easy it is to explore the stock market using R so you can come up with your own ideas.

Who this course is for:

  • Those looking to expand their R skills on stock market data
  • Those looking to come up with their own conclusions about the markets
  • NOT for those seeking easy stock tips or secret trading systems
  • NOT a solicitation to trade – trading is difficult, learn as much as you can before risking real money
  • NO guarantee that past historical strategies will work on future events

Course content

  • Introduction
  • Downloading Free Stock Market Data with R
  • Creating Amazing Stock Charts with quantmod
  • Applying Technical Analysis Indicators
  • Tracking Profit and Loss for Fun!
  • Analyzing Stocks in Groups
  • Conclusions

10 reviews for Practical Data Science: Analyzing Stock Market Data with R – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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