|
Data Analysis and Management Using R-Software
USD 1,050Get 10.00% off |
Venue: Nairobi
Event Video
Other Dates
Venue | Date | Fee | |
---|---|---|---|
Nairobi, Kenya | 15 - 19 Jul, 2024 | USD1050 | |
Nairobi, Kenya | 19 - 23 Aug, 2024 | USD1050 | |
Nairobi, Kenya | 30 Sep - 04 Oct, 2024 | USD1050 | |
Nairobi, Kenya | 18 - 22 Nov, 2024 | USD1050 |
Statistical Data Management and Analysis using R course provides an insight into quantitative data management and analysis (exploring, summarizing, statistical analyzing, visualizing). R is an open-source software with many features for quantitative data management and analysis.
The Expedition
Module 1: Basic statistical terms and concepts.
- Basic data quality checks.
- Basic exploratory data analysis procedures.
- Basic Descriptive Statistics.
- The core functions of inferential statistics.
- Common inferential statistics.
- Concepts and Software for Data Processing.
- Data Processing using Census and Surveys Processing Software (CsPro).
- Use of Mobile Phones for Data Collection and Processing.
Module 2: Introduction to R.
- Why use R?
- Obtaining and installing R.
- Working with R.
- Packages.
- Batch processing.
- Using output as input—reusing results.
- Working with large datasets.
Module 3: Data Entry, Management and Manipulation with R
- Creating a dataset.
- Understanding datasets.
- Data structures.
- Data input.
- Annotating datasets.
- Useful functions for working with data objects.
- Creating new variables.
- Recoding variables.
- Renaming variables
- Missing values.
- Date values.
- Type conversions.
- Sorting data.
- Merging datasets.
- Subsetting datasets.
- Using SQL statements to manipulate data frames.
Module 4: Tabulations and Graphics with R.
- Graphing Qualitative data.
- Graphing Quantitative data.
- Getting Started R Graphics.
- Working with graphs.
- A simple example.
- Graphical parameters.
- Adding text, customized axes, and legends.
- Combining graphs.
- Basic Graphs (Bar plots Pie charts, Histograms, Kernel density plots, Box plots, Dot plots).
- Intermediate graphs (Scatter plots, Line charts, Correlograms, Mosaic plots).
- Frequency and contingency tables.
Module 5: Quantitative Analysis using R.
- Descriptive statistics.
- Correlations.
- t-tests.
- Nonparametric tests of group differences.
- Visualizing group differences.
- Regression.
- Analysis of Variance.
- Power Analysis.
Nairobi | Sep 09 - 13 Sep, 2024 |
Nairobi, Kenya | 15 - 19 Jul, 2024 |
Nairobi, Kenya | 19 - 23 Aug, 2024 |
Nairobi, Kenya | 30 Sep - 04 Oct, 2024 |
Nairobi, Kenya | 18 - 22 Nov, 2024 |
Registration: 09:00:am - 04:00:am
USD 1,050.00 | (All Inclusive) |
USD 1,050.00 | (All Inclusive) |
USD 1,050.00 | (All Inclusive) |
USD 1,050.00 | (All Inclusive) |
Janet Cherono/Nancy Kemunto +254792972525/+254204401089
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