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Lecture 8: Roll of Data Science in Society.
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Lecture 7: Introduction to String Analysis
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Tutorial 7: Introduction to String Analysis.
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Lecture 6: Introduction to Machine Learning
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Tutorial 6: Introduction to Machine Learning.
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Lecture 5: Introduction to Algorithms
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Lecture 4: Inferential Statistics: Causation or Correlation?
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Tutorial 5: Algorithms.
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Tutorial 4: Linear Regression.
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Tutorial 3: Descriptive Statistics and Data Visualization.
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Lecture 3: Introduction to Descriptive Statistics using R.
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Lecture 2: Inductive Reasoning, the Logic of Data Science.
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Tutorial 2: Descriptive Statistics.
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Lecture 1: Introduction to Data Science and Big Data.
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Tutorial 1: R, syntax, atomic elements and console.
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Sylabus, Working Flow, Learning Objectives.