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  01 Basic Statistics

   001 Statistics And Its Applications.mp4

   002 Types Of Variables And Scales.mp4

   003 Describing Data.mp4

   004 Distribution And Measure Of Central Tendency.mp4

   005 Measure Of Dispersion.mp4

   006 Skewness And kurtosis.mp4

   007 Box And Whisker Plot, Scatter Plot And Correlation Coefficient.mp4

   008 Basic Statistics And Visualizing Data With Python.mp4

  02 Dealing With Missing Data

   001 Missing Data Imputation - Lecture 1.mp4

   002 Missing Data Imputation - Lecture 2.mp4

  03 Statistical Inference

   001 Point Estimation.mp4

   002 Characteristics of a Good Point Estimator.mp4

   003 MLE, Least Square, MVUE.mp4

  04 Test Of Hypothesis

   001 Test Of Hypothesis.mp4

   002 The Basics Of Normality Test.mp4

   003 Test Of Normality - Lecture 2.mp4

   004 Test Of Normality - Lecture 3.mp4

  05 ANOVA

   001 ANOVA.mp4

   002 Benefits And Practical Usage Of ANOVA.mp4

   003 One-way ANOVA.mp4

   004 Two-way ANOVA.mp4

  06 Contingency Tables

   001 Contingency Table - Lecture 1.mp4

   002 Contingency Table - Lecture 2.mp4

  07 Introduction To Big Data

   001 Overview Of Big Data.mp4

   002 Big Data Market Size.mp4

   003 Big Data Perspective And Volume.mp4

  08 Fundamentals Of Hadoop

   001 Overview Of Hadoop.mp4

   002 Hadoop Architecture.mp4

   003 Hadoop Components.mp4

  09 Fundamentals Of HDFS

   001 HDFS Architecture.mp4

   002 HDFS Benefits.mp4

   003 Issue With Small Files.mp4

   004 Other Limitations.mp4

  10 Fundamentals Of Apache Spark

   001 Apache Spark Overview.mp4

   002 Spark Architecture.mp4

   003 Hadoop Vs Spark.mp4

   004 Big Data On Cloud.mp4