Overview

Statistical Concepts and Application with R Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistical Concepts and Application with R Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.

Consisting of several modules, the course teaches you everything you need to succeed in this profession.

The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.

Why Choose Teachers Training

Some of our website features are:

This is a dedicated website for teaching
24/7 tutor support
Interactive Content
Affordable price
Courses accredited by the UK's top awarding bodies
100% online
Flexible deadline

Entry Requirements

No formal entry requirements. You need to have:

Passion for learning
A good understanding of the English language
Be motivated and hard-working
Over the age of 16.

Certification

CPD Certification from The Teachers Training

Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.

You can get your digital certificate (PDF) for £4.99 only
Hard copy certificates are also available, and you can get one for only £10.99
You can get both PDF and Hard copy certificates for just £12.99!

The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.

Introduction to the course
	Introduction	00:03:00
Single Linear Regression
	Install R, RStudio and Basic Functionality	00:08:00
	Basics of Linear Regression	00:03:00
	Basics of Linear Regression Ctnd	00:03:00
	Linear Regression Analysis	00:09:00
	Linear Relationships	00:09:00
	Line of Best Fit, SSE and MSE	00:05:00
	Linear Regression Analysis Ctnd	00:02:00
	Regression Results and Interpretation	00:10:00
	Predicting Future Profits	00:13:00
	Statistical Validity Tests	00:09:00
	Statistical Validity Discussion	00:07:00
	Single Linear Regression	00:06:00
Multiple Linear Regression
	Single Linear Regression	00:06:00
	Importing the data	00:04:00
	Correlation Matrix and MLR	00:08:00
	MLR Results and ANOVA	00:07:00
	The Best Model?	00:05:00
	Interaction Terms and Validity Testing	00:18:00
	ANOVA and Predictions	00:18:00
Non-linear Regression
	Non-linear Regression (and Recap)	00:07:00
	Logistic Regression Overview	00:22:00
	Logistic Regression: Odds, Logs and Poisson	00:13:00
	Logistic Regression: Fitting the Models in R	00:24:00
Optimization Theory and Differential Calculus
	Differential Calculus - Finding the Maximum and the Minimum	00:15:00
	Differential Calculus: One Unknown Input	00:08:00
	Analysis in R: One Unknown Input Differential Calculus	00:29:00
	Differential Calculus - Two Unknown Inputs	00:07:00
	Analysis in R: Two Unknown Inputs Differential Calculus	00:44:00
Downloadable Resources
	Resource - Statistical Concepts and Application with R	00:00:00