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  • Pre-Learning Self-Assessment

  • Lesson 1: R installing

  • Lesson 2: Basic R syntax

  • Lesson 3: Data type

  • Lesson 4: Vector 1

  • Lesson 5: Vector 2

  • Lesson 6: Control, Functions, Package

  • Lesson 7: Dataframe (part 1)

  • Lesson 8: Dataframe (part 2)

  • Lesson 9: Import Dataset

  • Lesson 10: Joining Dataframes

  • Lesson 11: Data Manipulation Toolkit

  • Lesson 12: Descriptive Statistics and Correlations

  • Lesson 13: Basic Data Viz

  • Lesson 14: Descriptive Statistics for Categorical

  • Lesson 15: Descriptive Statistics for Continuous

  • Lesson 16: Analysing Relationships

  • Lesson 17: Hypothesis Testing

  • Lesson 18: Hypothesis Testing-Chisquare

  • Lesson 19: Hypothesis Tesing for Numerical Variable

  • Lesson 20: ANOVA

  • Lesson 21: SImple Linear Regression

  • Lesson 22: Model Assumptions

  • Lesson 23: Multiple Linear Regression

  • Lesson 24: Model Selection

  • Lesson 25: MLR in Practice

  • Post-Learning Self-Assessment

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