Data Analysis and Statistical Modeling in R

Data Analysis and Statistical Modeling in R

What you’ll learn

  • Statistical modelling in R with real world examples and datasets
  • Develop and execute Hypothesis 1-tailed and 2-tailed tests in R
  • Test differences, durability and data limitations
  • Custom Data visualisations using R with limitations and interpretation
  • Applications of Statistical tests
  • Understand statistical Data Distributions and their functions in R
  • How to interpret different output values and make conclusions
  • To pick suitable statistical technique according to problem
  • To pick suitable visualisation technique according to problem
  • R packages which can improve statistical modelling

Who this course is for:

  • University and college data science students
  • Data Science aspirants
  • Beginners who want to perform statistical modelling and learn about its applications
  • people who want to shift from SPSS and EXCEL to R to perform statistical analysis

How to Enroll Data Analysis and Statistical Modeling in R course?

  • To Access "Data Analysis and Statistical Modeling in R" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    Data Analysis and Statistical Modeling in R Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score0
    Enroll Now
    Enroll Now with 100% OFF Coupon

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    Compare items
    • Total (0)
    Compare
    0