MyPhatshala

Statistics for Data Science

The maths that turns raw data into decisions.

Beginner to Intermediate6 modules26 lessonsFree · no sign-up
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Syllabus

01 IntroductionWhy statistics? 4 lessons
  1. 1.1What is statistics?Coming soon
  2. 1.2Types of dataComing soon
  3. 1.3Population and sampleComing soon
  4. 1.4Sampling methodsComing soon
02 Descriptive StatisticsSummarising data. 5 lessons
  1. 2.1Mean, median and modeComing soon
  2. 2.2Range, variance and standard deviationComing soon
  3. 2.3Percentiles and quartilesComing soon
  4. 2.4Skewness and kurtosisComing soon
  5. 2.5Box plots and outliersComing soon
03 ProbabilityMeasuring uncertainty. 4 lessons
  1. 3.1Probability basicsComing soon
  2. 3.2Conditional probabilityComing soon
  3. 3.3Bayes' theoremComing soon
  4. 3.4Random variablesComing soon
04 DistributionsPatterns in data. 4 lessons
  1. 4.1Normal distributionComing soon
  2. 4.2Binomial and Poisson distributionsComing soon
  3. 4.3Central limit theoremComing soon
  4. 4.4Z-scoresComing soon
05 Inferential StatisticsDrawing conclusions. 6 lessons
  1. 5.1Confidence intervalsComing soon
  2. 5.2Hypothesis testingComing soon
  3. 5.3p-values and significanceComing soon
  4. 5.4t-testComing soon
  5. 5.5Chi-square testComing soon
  6. 5.6ANOVAComing soon
06 RelationshipsHow variables move together. 3 lessons
  1. 6.1Covariance and correlationComing soon
  2. 6.2Simple linear regressionComing soon
  3. 6.3A/B testingComing soon