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R programming is a popular language for data analysis and statistical computing. It offers a rich ecosystem of packages and libraries for a wide range of data-related tasks. In R, you can manipulate d...

R - Workshop (Data Analyst)

DATA ANALYST

   |
   |____ Programming
   |               |_____ R Programming
   |                                  |______ Basic Programming 
   |                                  |______ Functions
   |                                  |______ Data Structure in R
   |                                  |______ Data Visualization
   |                                  |______ Data Interfaces
   |                                  |______ Machine Learning
   |____ Mathematics And Statistics
   |                              |_____ Mathematics
   |                              |                |_____ Calculus
   |                              |                |_____ Standard Deviation
   |                              |                |_____ System of Linear Equation
   |                              |                |_____ Matrix Operation
   |                              |                |                     |_____ Inverse
   |                              |                |                     |_____ Transpose
   |                              |                |_____ Solving Linear Equations using 
   |                              |                |      Gaussian Elimination
   |                              |                |
   |                              |                |_____ Row Echelon Form
   |                              |                |_____ Matrix Approximation
   |                              |                |_____ Vector Operations
   |                              |                |_____ Linear Mappings
   |                              |                |_____ Linear Algebra
   |                              |                |_____ Probability
   |                              |
   |                              |_____ Statistics
   |                                              |_____ Mean, Standard Deviation, and Variance — Implementation
   |                                              |_____ Descriptive and Inferential Statistics
   |                                              |_____ Probability Theory and Distribution
   |                                              |_____ Sampling Distribution
   |                                              |_____ Linear Regression
   |                                              |_____ Sample Error and True Error
   |                                              |_____ Hypothesis Testing
   |                                              |_____ Confidence Intervals
   |                                              |_____ Correlation and Covariance
   |                                              |_____ Correlation Coefficient
   |                                              |_____ Covariance Matrix
   |                                              |_____ Pearson Correlation
   |                                              |_____ Spearman’s Rank Correlation Measure
   |                                              |_____ Kendall Rank Correlation Measure
   |                                              |_____ Robust Correlations
   |____ Basic Skills 
   |                |_____ Problem Solving 
   |                |_____ DataBase Knowledge
   |                |_____ Data Wrangling
   |                                    |_____ Data Collection
   |                                    |_____ Data Cleaning
   |                                    |_____ Data Visualization
   |____ Development Tools 
                         |_____ MS Excel
                         |_____ Power BI