Training Course on Statistical Data Management and Analysis using R
Course Overview
The Statistical Data Management and Analysis using R training provides a comprehensive introduction to leveraging the R programming language for effective data manipulation, exploration, and statistical modeling. Through a series of hands-on exercises and real-world examples, participants will learn essential techniques such as data importation, cleaning, visualization, and modeling. By the end of the course, attendees will have the skills and confidence to tackle diverse analytical challenges, create reproducible reports using R Markdown, and apply statistical methods to extract meaningful insights from complex datasets.
Course Duration:
Online Training: 6 days
Classroom Training: 5 days
Course Outline
Module 1: Introduction to Statistical Analysis
- Basic steps of the research process
- Difference between populations and samples
- Difference between experimental and non-experimental research designs
- Difference between independent and dependent variables
Module 2: Introduction to R software for statistical computing
- Overview of the R Studio IDE
- Installing, loading and updating R packages
- Creating objects in R
- Data types
- Data structures
- Sorting vectors and data frames
- Directory management commands
- Direct data entry in R (for small data sets)
- Importing data from other software
- Decision structures (if, if-else, if-else if-else)
- Repetitive structures (for and while loops)
- Other important programming functions (break, next, warn, stop)
Module 3: Data Wrangling and Cleaning in R
- Working with variables
- Transform continuous variables to categorical variables
- Add new variables to data frames
- Handling missing values
- Sub-setting data frames
- Appending and merging data frames
- Spit data frames
- Stack and unstack data frames
Module 4: Explanatory Data Analysis (EDA) in R
- Creating tables of frequencies and proportions
- Cross tabulations of categorical variables
- Descriptive statistics for continuous variables
Module 5: Data Visualization using R base package
- Introduction to graphs and charts in R
- Customizing graph attributes (titles, axes, text, legends)
- Graphs for categorical variables
- Graphs for continuous variables
- Graphs to investigate relationship between variables
Module 6: Mean Comparison Tests in R
- One Sample T Test
- Independent Samples T Test
- Paired Samples T Test
- One-way analysis of variance (ANOVA)
Module 7: Tests of Associations in R
- Chi-Square test of independence
- Pearson\\\\\\\'s Correlation
- Spearman\\\\\\\'s Rank-Order Correlation
Module 8: Predictive Regression Models Using R
- Linear Regression
- Multiple Linear Regression
- Binary Logistic Regression
- Ordinal Logistic Regression
Note: This outline provides a general structure for the training. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.
Classroom Training Schedule
Start Date | End Date | Location | Cost | Apply |
---|---|---|---|---|
Jun 10, 2024 | Jun 14, 2024 | Nairobi | $ 950 | Register |
Jul 15, 2024 | Jul 19, 2024 | Nairobi | $ 950 | Register |
Aug 19, 2024 | Aug 23, 2024 | Nairobi | $ 950 | Register |
Sep 23, 2024 | Sep 27, 2024 | Nairobi | $ 950 | Register |
Oct 28, 2024 | Nov 01, 2024 | Nairobi | $ 950 | Register |
Dec 02, 2024 | Dec 06, 2024 | Nairobi | $ 950 | Register |
Virtual Training Schedule
Start Date | End Date | Location | Cost | Apply | |||
---|---|---|---|---|---|---|---|
May 20, 2024 | May 25, 2024 | Online | $ 400 | Register | |||
Jun 24, 2024 | Jun 29, 2024 | Online | $ 400 | Register | |||
Jul 29, 2024 | Aug 03, 2024 | Online | $ 400 | Register | |||
Sep 02, 2024 | Sep 07, 2024 | Online | $ 400 | Register | |||
Oct 07, 2024 | Oct 12, 2024 | Online | $ 400 | Register | |||
Nov 11, 2024 | Nov 16, 2024 | Online | $ 400 | Register | |||
Dec 16, 2024 | Dec 21, 2024 | Online | $ 400 | Register |
Registration Process
Enrolling in our training programs is effortless! Upon submitting your details on the course registration link, a representative will get in touch with the relevant information.
Group Discounts
Boost your team's skills and maximize value with our attractive group discounts. Enroll 3 or more participants and enjoy significant discounts on any of our training programs.
Course Language
This Training course is offered in ENGLISH . Please indicate the language of choice during registration.
Training Approach
Our instructor-led trainings use well guided presentations, practical exercises, and group acivities. Participants are encouraged to bring any data relevant to their job responsibilities. Training manuals and additional reference materials are provided to the participants.
Certification
Upon completion of training, the participant will be issued with a certificate of Completion.
Post Training Support
Our commitment our clients success extends beyond the training program. We offer ongoing 3 months support through Q&A sessions, online forums, and access to our expert instructors.
Tailor-Made Course
We design customized training programs and inhouse workshops to meet specific training needs and organizational goals. Contact us to find out more: training@perk-gafrica.com