Python in English: From Beginner to Professional
Python, APIs, Web, DB, Data Analysis
Development ,Data Science,Python
Lectures -44
Resources -1
Duration -12.5 hours
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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

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Work Tools
4 Lectures
-
Introduction 02:35 02:35
-
Environment Setup 1 17:14 17:14
-
Environment Setup 2 14:45 14:45
-
Environment Setup 3 20:01 20:01
Python from 0 to 100
21 Lectures

Data Analysis
4 Lectures

Databases
4 Lectures

Web, APIs and Web Scraping
12 Lectures

Instructor Details

Aaron Sánchez
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