Essential Statistics And Big Data For Data Science



Essential Statistics And Big Data For Data Science

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What you'll learn
  • Concept of Data Science
  • Statistics And Its Applications
  • Describing Data
  • Distribution
  • Measure Of Central Tendency
  • Measure Of Dispersion
  • Skewness And kurtosis
  • Box And Whisker Plot, Scatter Plot And Correlation Coefficient
  • Basic Statistics And Visualizing Data With Python
  • Missing Data Imputation
  • Statistical Estimation
  • Characteristics Of A Good Point Estimator
  • MLE, Least Square, MVUE
  • Test Of Hypothesis
  • Normality Test
  • One-way …
Duration 3 Hours 58 Minutes
Paid

Self paced

All Levels

English (US)

4

Rating 0 out of 5 (0 ratings in Udemy)

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