A beginner’s gateway to data analysis with R
Introduction: Overcoming the Fear of Coding
The mindset shift: From apprehension to confidence
Why R and RStudio?
Course structure and expectations
Session 1: RStudio Infrastructure (May 10, 2025 | 2 hours)
Installing R and RStudio
Navigating the interface: Script, Console, Environment, and Help windows
Customizing layouts and shortcuts
How to access help (?function, R Documentation, online forums)
Session 2: Data Types & Structures (May 11, 2025 | 2 hours)
Core data types: numeric, character, logical, factors
Data structures: vectors, lists, matrices, and data frames
Checking and converting data types
Hands-on exercises: Creating and inspecting structures
Session 3: Data Manipulation (May 17, 2025 | 2 hours)
Subsetting and filtering data
Reshaping data: gather() and spread() (from tidyr)
Handling missing values
Introduction to dplyr verbs (select(), filter(), mutate())
Hands-on exercises: Data Manipulation
Session 4: Exploratory Data Analysis (May 18, 2025 | 2 hours)
Descriptive statistics (mean, median, variance)
Basic visualizations: histograms, boxplots, scatter plots (ggplot2)
Identifying patterns and outliers
Hands-on exercises: Exploring a dataset
Session 5: Statistical Data Analysis (May 24, 2025 | 2 hours)
Hypothesis testing: t-tests and chi-square tests
Correlation analysis
Interpreting and presenting results
Hands-on exercises: Test selected hypotheses
Session 6: Linear Regression Analysis (May 25, 2025 | 2 hours)
From correlation to simple linear regression
Multiple Linear Regression
Model Selection and Interpretation
Session 7: Next Steps & Resources (May 31, 2025 | 2 hours)
Packages for advanced analysis (e.g., lme4, caret)
R Markdown for reproducible reports
Recommended books, communities, and courses
Rstudio interphase
Data Wrangling
Descriptive Statistics
Statistical models
Target Audience: Are you a researcher or a programming enthusiast? Then this course is for you. You need no prior knowledge in statistics or programming. However, knowledge of basic statistics will be an advantage.
Dates:
Saturdays : 10,17,24 and 31st May 2025: 16:30h-18:30h
Sundays: 11,18 and 25th May 2025: 16:30h-18:30h
Payment details:
Names: Adiaba Consulting Group
IBAN BE56 3632 3839 2088, BIC: INGBNL2A
(Please add following reference: your_last_name/RSTUDIO/2025)
Paypal: njiabatih@gmail.com
Register using the form below: