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Python in English: From Beginner to Professional

person icon Aaron Sánchez

4.4

Python in English: From Beginner to Professional

Python, APIs, Web, DB, Data Analysis

updated on icon Updated on Aug, 2025

language icon Language - English

person icon Aaron Sánchez

category icon Development ,Data Science,Python

Lectures -44

Resources -1

Duration -12.5 hours

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4.4

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Course Description

  • 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.
  • 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.
  • 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.
  • 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.

Goals

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

Prerequisites

  • All levels
Python in English: From Beginner to Professional

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Work Tools

4 Lectures
  • play icon Introduction 02:35 02:35
  • play icon Environment Setup 1 17:14 17:14
  • play icon Environment Setup 2 14:45 14:45
  • play icon Environment Setup 3 20:01 20:01

Python from 0 to 100

21 Lectures
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Data Analysis

4 Lectures
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Databases

4 Lectures
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Web, APIs and Web Scraping

12 Lectures
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Instructor Details

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Aaron Sánchez

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