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Data Analysis with R

A Beginner level 8-hour course delivered via Instructor-led Physical Classes or Virtual Classes.

Regular Price: £280
Batch Price: From £280   📅  View Dates & Prices

Group Booking Discount: From £160 per person  🧮 Calculate & Book

1-to-1 Training: £280  📋 Booking Request Form
Data Analysis with R Trainign Course

Course Overview

This instructor-led training course provides a comprehensive introduction to data analysis using R, one of the most widely used programming languages for statistical computing and data visualisation. Participants will gain hands-on experience with R's powerful tools and packages to analyse, visualise, and interpret data effectively. By the end of this course, participants will be able to import, clean, and transform data using R, perform descriptive and inferential statistical analyses, visualise data and apply data analysis techniques to real-world datasets.


Requirements

This course is suitable for those who already have basic knowledge of R programming. Our Programming with R Training Courses cover all of the prerequisites. Basic knowledge of statistics is recommended but not required.


Course Content

  1. Introduction to Data Analysis with R
    • What is Data Analysis?
    • Why Use R for Data Analysis?
    • Setting Up Your R Environment
    • Essential R Packages
  2. Data Cleaning
    • Identifying and Removing Duplicates
    • Data Transformation
    • Encoding Categorical Variables
  3. Exploratory Data Analysis (EDA)
    • Descriptive Statistics
    • Correlation Analysis
    • Identifying Trends and Patterns
    • Visualising Relationships
  4. Introduction to Statistical Modeling
    • Overview of Statistical Models
    • Statistical Modeling Operators in R
    • Analysis of Variance (ANOVA)
    • Linear Modeling
  5. Generalised Linear Models (GLMs)
    • Logistic Regression
    • Poisson GML
    • Gamma GML
    • Binomial GML
  6. Time Series Analysis
    • Components of Time Series Data
    • Modelling a time-series
    • Forecasting
    • Visualizing Time Series Trends
  7. Model Selection
    • Implicit and explicit model selection
    • Model Balance
    • Information criterion: The ICs
    • Cross validation
    • Comparison of AIC and CV


Course Dates, Prices & Enrolment

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Training venue: Unit 15, Boardman House, 64 Broadway, Stratford, London E15 1NT, United Kingdom

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What we do?

At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.

Our Contacts

London Academy of IT
64 Broadway
Stratford
London E15 1NT
United Kingdom

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Registered in England & Wales with company no. 07923992.