Description
Overview:
Welcome to “Statistical Concepts in R!” This course provides an in-depth exploration of statistical concepts and their implementation using the R programming language. Statistical analysis plays a vital role in various fields, including finance, healthcare, and social sciences. In this course, you’ll learn essential statistical concepts such as hypothesis testing, regression analysis, and probability distributions, and how to apply them using R for data analysis and decision-making.
Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self-paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases
Main Course Features:
Comprehensive coverage of essential statistical concepts and techniques
Hands-on tutorials for implementing statistical methods using R
Practical exercises and real-world examples for reinforcement and application
Exploration of data visualization techniques to interpret statistical results effectively
Access to datasets and resources for practicing statistical analysis with R
Supportive online community for collaboration and assistance throughout the course
Regular assessments and quizzes to track progress and reinforce learning
Guidance on best practices and common pitfalls in statistical analysis with R
Who Should Take This Course:
Data analysts, scientists, and researchers looking to enhance their statistical analysis skills using R
Students pursuing degrees in statistics, data science, or related fields
Professionals in finance, healthcare, marketing, and other industries requiring statistical analysis
Anyone interested in learning how to use R for statistical analysis and data visualization
Learning Outcomes:
Understand fundamental statistical concepts and their application in data analysis
Gain proficiency in using R for statistical computing and analysis
Perform hypothesis testing, regression analysis, and other advanced statistical techniques
Interpret and visualize statistical results effectively using R
Apply statistical methods to real-world datasets and scenarios
Develop critical thinking and problem-solving skills through hands-on exercises
Build a portfolio of statistical analysis projects showcasing proficiency in R
Communicate insights and findings clearly through data visualization and interpretation.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Curriculum
Module 01: Introduction to the Course
Module 02: Simple Linear Regression
Module 03: Linear Regression Analysis
Module 04: Multiple Linear Regression
Module 05: Non-linear Regression
