Quantitative Data Management and Analysis with R course-Sep 28 to Oct 2,2020 for 5 Days

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Foscore Development Center 
 
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. Learn  More
Foscore Development Centre (FDC-K)
Foscore Development Center Kenya (FDC-K) is a global training and consulting firm that has been assisting organizations and individuals to achieve their objectives and goals. We specialize in monitoring and evaluation, impact assessment of institutional, human capacity development needs assessment, strategy development, investment planning, implementation and talent development solutions for individuals and organizations, through our highly customized program delivery courses. We have experienced expert teams in a wide array of disciplines to meet the requirements of our clients and investors.
The FDC-K is dedicated to delivering holistic workplace professional, vocational, educational and capacity development solutions aimed at bettering the performance of individuals and groups within the organizations. We also do capacity development solutions through training, software development and sales, among others. The services offered by the FDC-K Consultancy Unit are divided into three (3) broad categories, namely: Service Consultancy, Contract Research, Training and Capacity Building described as follows:
1. Service Consultancy: FDC-K provides expert professional advice in specific areas identified by the client based on client requirements and specifications. Some services in this area include management and business advisory services, information technology services, risk management and advisory services, enterprise risk management services, standardization and compliance services, strategic planning services, among others. We apply these services towards the capacity development programs, as shown below.
2. Contract Research: These are services which revolve around research-based consultancy services which leads to the generation of new knowledge, synthesis and analysis of existing knowledge to formulate new creative concepts, innovations, designs, methodologies, understandings, applications and solutions for specified problems on mutually agreed terms and conditions. Services in this category include monitoring and evaluation services, tracer studies, baseline surveys, training needs assessments, customer and employee satisfaction, work environment assessments, development programs, impact ’assessments’ studies and market survey. We bring these research skills to bear on the capacity needs assessment, strategy development and investment planning as described in this proposal.
3. Training and Capacity Development: FDC-K provides tailor-made in-service courses, lasting from a few days to several weeks. The training is aimed at improving knowledge, skills and competence that results in better performance and high professional productivity. Courses offered are delivered by qualified professionals from relevant disciplines and specializations. This experience has given FDC-K a unique advantage as we see the capacity gaps among the professional and develop strategies to fill them regularly. We bring this expertise to addressing issues facing the institutional capacity development plans as needed by this proposal.

 FDC IMPORTANT LINKSOUR ONLINE TRAINING PROCEDURE
Select course of your preference Register online as individual, online training or group and you will automatically receive invoice and invitation letter to enable your attendance.
Online Training classes are instructor-led, live online training you attend from your home or work or in one of our local computer labs. Our live online instructors teach you from a remote location while being able to interact with other participants as in a traditional training setting.This will include:
  • A real, live instructor teaching you from another location
  • Hands-on learning with the software/skills you are being taught
  • Interaction with all students in the class at other locations
  • Any needed software for class provided in online lab environment
  • Easy assistance from the instructor

Looking forward to your registration and attendance.Result Based skills Development

Regards,
FDC Training Team
Telephone office: +254712260031 Email training@fdc-k.org
Contact our training team directly via WhatsApp

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