• What you'll learn
    • Understand what a Normal Distribution is
    • Explain the difference between continuous and discrete variables
    • Understand the Central Limit Theorem
    • Use the Z-Score and Z-Tables
    • Understand the difference between a normal distribution and a t-distribution
    • Create confidence intervals Understand standard deviations
    • Understand what a sampling distribution is
    • Apply Hypothesis Testing for Proportions
    • Use the t-Score and t-Tables
  • Requirements
    • Basics math understanding
  • Curriculum
    • How to Learn Statistics for Data Science As A Self Starter- Follow My Way
    • Population vs Sample in Statistics
    • Log Normal Distribution in Statistics
  • Covariance in Statistics
    • STATISTICS- Mean, Median And Mode Explained Easily
    • STATISTICS- Population VS Sample and it's Importance
    • STATISTICS- What are Random Variables and It's Types and its Importance?
    • STATISTICS- Gaussian/ Normal Distribution
    • STATISTICS- What is Central Limit Theorem?
    • STATISTICS- Chebyshev's InEquality
    • Statistics- What is Pearson Correlation Coefficient? Difference between Correlation and Covariance
    • Spearman's rank correlation coefficient- Statistics
    • Statistics-Finding Outliers in Dataset using Z- score and IQR
    • Standardization Vs Normalization- Feature Scaling
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