Course Outline

Python Data Structures and Operations

  • Integers and floats
  • Strings and bytes
  • Tuples and lists
  • Dictionaries and ordered dictionaries
  • Sets and frozen sets

Object-Oriented Programming with Python

  • Inheritance
  • Polymorphism
  • Static classes
  • Static functions
  • Decorators

Data Analysis with Pandas

  • Data frame (pandas)
  • Data cleaning
  • Using vectorized data in pandas
  • Data wrangling
  • Sorting and filtering data
  • Aggregate operations
  • Analyzing time series

Data Visualization

  • Plotting diagrams with matplotlib
  • Using matplotlib from within pandas
  • Creating quality diagrams

Vectorizing Data in Numpy

  • Creating Numpy arrays 

Python for the Web

  • Packages for web processing
  • Web crawling
  • Parsing HTML and XML
  • Filling web forms automatically

Requirements

  • Beginner to intermediate programming experience.
  • Knowledge of math and statistics.
  • Knowledge of database concepts.
  7 Hours
 

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