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

When:
August 17, 2020 @ 11:00 am – August 21, 2020 @ 3:00 pm
2020-08-17T11:00:00+03:00
2020-08-21T15:00:00+03:00
Where:
Virtual Classroom
Contact:
Steve Njenga
+254 721 749 239

The objective of this hands-on course is to teach Data Analysis and Statistics 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

  • Correlation analysis
  • Modeling
  • Accuracy assessment
  • Presentation

Course Conclusion

Course Evaluation by the participants

Award of Certificates

2 Comments
  1. How do you get the R-studio software?

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