Statistics with R Course

Statistics with R

Details

Statistics and data fuel business with information and insights and programming has made working with these stats easier and more powerful. R is a programming language developed for statistical computing to make data analysis accessible and effective.

In this course we will use the R programming language to:

Work with probability
Understand factors in probability
Calculate combinations and permutations
Work with continuous variables
Work with random variables
Apply central limit theorem
Apply statistics to real-world scenarios

Delivery Methods

Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.

Delivery Method	Duration	Price (excl. VAT)
Classroom	4 Days	ZAR 11,000.00	Get a Quote
Live Virtual Training	4 Days	ZAR 9,000.00	Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

Information may change without notice.

Audience

Data scientists
Programmers
Business analysts
Engineers
Scientists

Pre-Requisites

Leading Training's Introduction to R or equivalent knowledge

Course Outline / Curriculum

Introduction to statistics with R

Probability

Discrete probability
- Relative frequency
- Notation
- Probability distributions
Monte Carlo simulations for categorical data
- Setting the random seed
- With and without replacement
Independence
Conditional probabilities
Addition and multiplication rules
- Multiplication rule
- Multiplication rule under independence
- Addition rule
Combinations and permutations
- Monte Carlo example
Examples
- Monty Hall problem
- Birthday problem
Infinity in practice
Exercises
Continuous probability
Theoretical continuous distributions
- Theoretical distributions as approximations
- The probability density
Monte Carlo simulations for continuous variables
Continuous distributions
Exercises

Random variables

Random variables
Sampling models
The probability distribution of a random variable
Distributions versus probability distributions
Notation for random variables
The expected value and standard error
- Population SD versus the sample SD
Central Limit Theorem
- How large is large in the Central Limit Theorem?
Statistical properties of averages
Law of large numbers
- Misinterpreting law of averages
Exercises
Case study: The Big Short
- Interest rates explained with chance model
- The Big Short
Exercises

Schedule Dates and Booking

There are currently no scheduled dates.

Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below, and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.

Add me to the waiting list

Should you need this course urgently, the following options are available:

Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.

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