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


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


Related Courses

Scaling Data Analysis with Python and Dask

  14 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

Accelerating Python Pandas Workflows with Modin

  14 hours

Machine Learning with Python and Pandas

  14 hours

FARM (FastAPI, React, and MongoDB) Full Stack Development

  14 hours

Developing APIs with Python and FastAPI

  14 hours

Web application development with Flask

  14 hours

Advanced Flask

  14 hours

Build REST APIs with Python and Flask

  14 hours

Kivy: Building Android Apps with Python

  7 hours

Game Development with PyGame

  7 hours

GUI Programming with Python and PyQt

  21 hours

Scientific Computing with Python SciPy

  7 hours

GUI Programming with Python and Tkinter

  14 hours

Web Development with Web2Py

  28 hours