- TypeTraining or Development Class
- Location Nairobi, Kenya
- Date 02-07-2018 - 06-07-2018
Education/Teaching/Training/Development
Research/Science
Business Development
Qualitative Data Management and Analysis with R course-(July 2 to July 6, 2018 for 5 Days)
Register online to attend: https://bit.ly/2sTuw44
Organizer : Foscore Development Center(www.fdc-k.org)
Venue:Clarion Hotel, Nairobi,Kenya
Course fee: $ 1,000, Ksh 70,000
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 Objective:
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
All our courses can be Tailor-made to participants needs
The participant must be conversant with English
Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.
Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)
Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.
Course duration is flexible and the contents can be modified to fit any number of days.
The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses.
Accommodation, pickup, freight booking and Visa processing arrangement, are done on request, at discounted prices.
One year free Consultation and Coaching provided after the course.
Register as a group of more than two and enjoy discount of (10% to 50%) plus free five hour adventure drive to the National game park.
Payment should be done two week before commence of the training, to FOSCORE DEVELOPMENT CENTER account, so as to enable us prepare better for you.
For any enquiry to: [email protected] or +254712260031
View course content and register as individual or group using this link-https://bit.ly/2sTuw44
View Research and Data Analysis courses calendar 2018-2019 – http://bit.ly/2rfjxn4
View All Courses calendar 2018-2019 - http://bit.ly/2mB2p5w
Course Fee:KES:70000|USD:1000|EURO:900|POUND:800