- TypeTraining or Development Class
- Location Istanbul, İstanbul, Turkey
- Date 11-04-2022 - 15-04-2022
Education/Teaching/Training/Development
Business Development
Administration/Management
Computer/Technology
QUANTITATIVE DATA MANAGEMENT AND ANALYSIS WITH R COURSE
Start Date: 14/03/2022 End Date: 18/03/2022 for 5 days
Register online: https://skillsforafrica.org/course/122
Organizer: Skills for Africa Training Institute (https://skillsforafrica.org)
Course fee: USD 2,990
INTRODUCTION
This course is designed for participants who plan to use R for the management, coding, analysis and visualization of qualitative data. The course’s content is spread over seven modules and includes: Basics of Applied Statistical Modelling, Essentials of the R Programming, Statistical Tools, Probability Distributions, Statistical Inference, Relationship between Two Different Quantitative Variables and Multivariate Analysis . The course is entirely hands-on and uses sample data to learn R basics and advanced features.
DURATION
5 days
WHO SHOULD ATTEND?
Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,
COURSE OBJECTIVES:
· Analyze t data by applying appropriate statistical techniques
· Interpret the statistical analysis
· Identify statistical techniques a best suited to data and questions
· Strong foundation in fundamental statistical concepts
· Implement different statistical analysis in R and interpret the results
· Build intuitive data visualizations
· Carry out formalized hypothesis testing
· Implement linear modelling techniques such multiple regressions and GLMs
· Implement advanced regression analysis and multivariate analysis
COURSE CONTENT
MODULE ONE: Basics of Applied Statistical Modelling
· Introduction to the Instructor and Course
· Data & Code Used in the Course
· Statistics in the Real World
· Designing Studies & Collecting Good Quality Data
· Different Types of Data
MODULE TWO: Essentials of the R Programming
· Rationale for this section
· Introduction to the R Statistical Software & R Studio
· Different Data Structures in R
· Reading in Data from Different Sources
· Indexing and Subletting of Data
· Data Cleaning: Removing Missing Values
· Exploratory Data Analysis in R
MODULE THREE: Statistical Tools
· Quantitative Data
· Measures of Center
· Measures of Variation
· Charting & Graphing Continuous Data
· Charting & Graphing Discrete Data
· Deriving Insights from Qualitative/Nominal Data
MODULE FOUR: Probability Distributions
· Data Distribution: Normal Distribution
· Checking For Normal Distribution
· Standard Normal Distribution and Z-scores
· Confidence Interval-Theory
· Confidence Interval-Computation in R
MODULE FIVE: Statistical Inference
· Hypothesis Testing
· T-tests: Application in R
· Non-Parametric Alternatives to T-Tests
· One-way ANOVA
· Non-parametric version of One-way ANOVA
· Two-way ANOVA
· Power Test for Detecting Effect
MODULE SIX: Relationship between Two Different Quantitative Variables
· Explore the Relationship Between Two Quantitative Variables
· Correlation
· Linear Regression-Theory
· Linear Regression-Implementation in R
· Conditions of Linear Regression
· Multi-collinearity
· Linear Regression and ANOVA
· Linear Regression With Categorical Variables and Interaction Terms
· Analysis of Covariance (ANCOVA)
· Selecting the Most Suitable Regression Model
· Violation of Linear Regression Conditions: Transform Variables
· Other Regression Techniques When Conditions of OLS Are Not Met
· Regression: Standardized Major Axis (SMA) Regression
· Polynomial and Non-linear regression
· Linear Mixed Effect Models
· Generalized Regression Model (GLM)
· Logistic Regression in R
· Poisson Regression in R
· Goodness of fit testing
MODULE SEVEN: Multivariate Analysis
· Introduction Multivariate Analysis
· Cluster Analysis/Unsupervised Learning
· Principal Component Analysis (PCA)
· Linear Discriminant Analysis (LDA)
· Correspondence Analysis
· Similarity & Dissimilarity Across Sites
· Non-metric multi-dimensional scaling (NMDS)
· Multivariate Analysis of Variance (MANOVA)
GENERAL NOTES
· This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
· Training manuals and additional reference materials are provided to the participants.
· Upon successful completion of this course, participants will be issued with a certificate.
· We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]
· The training will be conducted at SKILLS FOR AFRICA TRAINING INSTITUTE IN NAIROBI KENYA.
· The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
· Payment should be sent to our bank account before start of training and proof of payment sent to: [email protected]