Course curriculum

    1. Overview

    2. Business Decisions and Analytics

    3. Types of Business Analytics

    4. Applications of Business Analytics

    5. Data Science Overview

    6. Conclusion

    1. Overview

    2. Importance of R

    3. Data Types and Variables In R

    4. Operators in R

    5. Conditional Statements in R

    6. Loops in R

    7. R Script

    8. Functions in R

    9. Conclusion

    1. Overview

    2. Identifying Data Structures

    3. Demo Identifying Data Structures

    4. Assigning Value to Data Structures

    5. Data Manipulation

    6. Demo Assigning Values and Applying Functions

    7. Conclusion

    1. Overview

    2. Introduction to Data Visualization

    3. Data Visualization Using Graphics in R

    4. GGPlot 2

    5. File Formats of Graphic Outputs

    6. Conclusion

    1. Overview

    2. Introduction to Hypothesis

    3. Types of Hypothesis

    4. Data Sampling

    5. Confidence and Significance Levels

    6. Conclusion

    1. Overview

    2. Hypothesis Test

    3. Parametric Test

    4. Non-Parametric Test

    5. Hypothesis test about Population

    6. Hypothesis about Population Variance

    7. Hypothesis about Population Proportions

    8. Conclusion

About this course

  • Free
  • 78 lessons
  • 5.5 hours of video content