Companies Home Search Profile

R Programming Crash Course

Focused View

Algovibes YT

37:07

56 View
  • 1. Course Structure.mp4
    00:19
  • 2.1 Installation Guide.html
  • 2. R and R Studio Installation Guide.html
  • 3. R Studio, Datatypes and Operators.mp4
    06:53
  • 4. Sequences.mp4
    01:04
  • 1. Vectors & Matrices.mp4
    09:05
  • 2. Dataframes.mp4
    03:53
  • 1. Conditional Statements (if, else, else if).mp4
    05:03
  • 2. Loops.mp4
    03:03
  • 3. Functions (& Recursion).mp4
    04:50
  • 1. Fizzbuzz.mp4
    02:57
  • Description


    Learn The Core R Programming Fundamentals you REALLY need without wasting your valuable time in just 40 minutes!

    What You'll Learn?


    • Learn fundamental R Coding principles
    • Save your time to only learn what you really need BEFORE getting started in the field of Finance / Data Analytics / Data Science
    • Be able to write simple R programs
    • Have a good foundation of the core R concepts to tackle next steps

    Who is this for?


  • People who want to start learning R hands-on!
  • People who want to save time and learn only the basics which you really need to move on
  • People who want to get started with the fundamentals BEFORE diving into more complex topics
  • What You Need to Know?


  • No Programming experience required
  • You need to have R and R Studio installed on your system
  • More details


    Description

    What is this course about?

    In this course I am breaking down the most important fundamentals you need to get started with R.


    Why should I be your constructor?

    I got years of experience coding  and know which topics are key to understand to actually move on to topics like Data Analytics, Machine Learning, Data Science, Quantitative Finance or Algorithmic Trading.

    I wrote my Master Thesis on a quantitative Finance topic, currently working in the field of Data Science and got a YouTube channel teaching Algorithmic Trading and Data Science hands-on tutorials with over 60.000 subscribers.


    Why this course?

    This course is giving a rock solid foundation for anyone interested in learning R. After completing this course you are perfectly prepared to move on to more advanced topics such as Data Analytics, Machine Learning, Data Science, Quantitative Finance or Algorithmic Trading.

    There is not a single time filler and we are getting straight into the topics.


    Any questions coming up?

    If you got any questions please feel free to reach out! I am happy to hear from you.


    What are you waiting for?

    If you want to learn R from scratch be invited to enroll right now and start your R programming journey!

    Who this course is for:

    • People who want to start learning R hands-on!
    • People who want to save time and learn only the basics which you really need to move on
    • People who want to get started with the fundamentals BEFORE diving into more complex topics

    User Reviews
    Rating
    0
    0
    0
    0
    0
    average 0
    Total votes0
    Focused display
    Category
    Algovibes YT
    Algovibes YT
    Instructor's Courses
    Algovibes is one of the biggest YouTube channels in the financial programming niche. Having more than 75.000 subscribers following topics are covered:- Data Science- Algorithmic Trading- Automatization of Trading Strategies- Tradingbot constructionThe channel not only covers backtesting various trading strategies but also goes into deploying the trading strategies to live trading.Besides that the channel owner uses various approaches out of the Data Science field to find and show insights on the stock and cryptocurrency market.The channel owner has several years of both academic and professional coding experience with a main focus on Python.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 9
    • duration 37:07
    • Release Date 2023/06/23