Statistics Course for Beginner Free | Statistics for Data Science and Machine Learning

Table of Contents: –

  • – What is statistics (0:00)
  • – Sampling (33:00)
  • – Experimental design (01:21:21)
  • – Randomization (02:00:00)
  • – Frequency histogram and Distribution (02:17:00)
  • – Time Series, Bar and Pie Graphs (02:36:00)
  • – Frequency table and stem and leaf (03:10:00)
  • – Measures of central tendency (03:40:00)
  • – Measure of variation (04:13:00)
  • – Percentile (04:58:00)
  • – Scatter diagrams and linear correlation (05:25:00)
  • – Normal Distribution and empirical rule (06:40:00)
  • – Linear regression and coefficient
  • – Normal distribution and empirical rule
  • – Z-score and probabilities (07:05:00)
  • – Sampling Distributions and the Central limit theorem (07:45:00)
  • – Estimating mean when sigma is known

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