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Python in English: From Beginner to Professional
Rating: 5.0 out of 5(1 rating)
5 students

Python in English: From Beginner to Professional

Python, APIs, Web, DB, Data Analysis
Created byAaron Sanchez
Last updated 6/2025
English

What you'll learn

  • Data Consumption via API
  • Data Analysis
  • Object-Oriented Programming
  • Advanced Python
  • Web Scraping
  • Databases: MongoDB, SQLite

Course content

5 sections45 lectures12h 38m total length
  • Introduction2:35
  • Environment Setup 117:14
  • Environment Setup 214:45
  • Environment Setup 320:01

Requirements

  • None

Description

JANUARY TICKET: 0AC19596B48E4C2C4DC8

  1. Master Python from scratch to expert level.


    You will learn everything from the most basic concepts—such as variables, control structures, and functions—to advanced topics like object-oriented programming, exception handling, and automation.

    You’ll get to know essential libraries that allow you to apply Python in various fields, such as data analysis, web development, and databases.


  2. Learn to handle and visualize data like a pro with Pandas, NumPy, Matplotlib, and Seaborn


    Pandas and NumPy will help you efficiently manipulate data, enabling you to clean, transform, and analyze large volumes of information.

    With Matplotlib and Seaborn, you’ll be able to create high-quality charts to clearly and effectively visualize data, supporting decision-making and statistical analysis.

  3. Develop modern, efficient APIs with Flask and FastAPI


    Flask is a lightweight framework for building web apps and APIs—ideal for fast, scalable projects.

    FastAPI is a modern alternative that allows you to build high-performance APIs with automatic data validation and integrated documentation.

  4. Explore SQL and NoSQL databases with SQLite and MongoDB


    You’ll learn to work with SQL (relational) databases using SQLite, which lets you store and manage structured data easily.

    You’ll also work with MongoDB, a NoSQL database ideal for handling flexible JSON-format data and scaling applications without rigid schemas.

Who this course is for:

  • All levels