Statistical & Spatial Data Analysis using R (Understanding and Analyzing Big Data)

The objective of this hands-on course is to teach Statistical and Spatial Data Analysis in a practical manner to enable you solve any complex Analysis with ease using R programming.

The training will take 5 days comprising of presentations and practical sessions facilitated by our team of data experts.

The R-studio software will be used for the training.

Course Outline:

Day One: Course Introduction

• Presentation on understanding and analyzing big data
• Overview on basics of R-studio software
• Installation of R software and packages to be used throughout the training
• Overview of the data used for practice and training

Day Two: Data Quality Check and Exploration

• Overview of dlookr package for data diagnosis, exploration and transformation
• Calculating descriptive statistics, testing normality in continuous data
• Use of diagnosis function to run data quality checks and generate data diagnosis report
• Visualization of the data using plots i.e box plots, scatter and bar charts

Day Three: Correlation and Regression Analysis

• Use of correlation coefficient to determine a relationship between continuous variables using correlation function and other correlation test e.g Pearson and Spearman test.
• Visualization of the correlation matrix using plots
• Regression analysis for modeling relationship between variables using simpler linear regression and multiple linear regression model
• Interpretation of results and visualization of the results using plots

Day Four: Simulation and Statistical Tests

• Data simulation
• Use of commonly used statistical tests to measure significance of data. E.g. One sample and two sample-Test, Chi-Squared Test, and Shapiro
• Explore more tests

Day Five: Working with Real Data

• Spatial Analysis
• Correlation analysis
• Modeling
• Accuracy assessment
• Presentation

Course Conclusion

Course Evaluation by the participants

Award of Certificates