Python for Data Science

Python for Data Science

Course Content

  • Python Overview
  • Environment
  • Basic Syntax
  • Variable Type
  • Basic Operator
  • Decision Making
  • Loops
  • Numbers
  • Strings
  • Lists
  • Unpacking a Sequence into Separate Variable
  • Dictionary
  • Calculation with Collections
  • Extracting a subset of a Collection
  • Manipulation of List and all Collections
  • Iterators and generators
  • Self-iterators
  • Iterating in reverse
  • Set theory
  • Skipping values
  • Tuples
  • Dictionary
  • Date and Time
  • Functions
  • Modules
  • Files I/O
  • Classes and Objects
  • Regular Expressions
  • CGI Programming
  • Data Base Access
  • Multithreading
  • XML Processing
  • GUI Programming
  • Further Extensions
  • Getting Started with Raw Data
  • The world of arrays with NumPy
  • Creating an array
  • Mathematical operations
  • Array subtraction
  • Squaring an array
  • A trigonometric function performed on the array
  • Conditional operations
  • Matrix multiplication
  • Indexing and slicing
  • Shape manipulation
  • Empowering data analysis with pandas
  • The data structure of pandas
  • Series
  • DataFrame
  • Panel
  • Inserting and exporting data
  • CSV
  • XLS
  • JSON
  • Database
  • Checking the missing data
  • Filling the missing data
  • String operations
  • Merging data
  • Aggregation operations
  • The inner join
  • The left outer join
  • The full outer join
  • The groupby function

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