Courses > Programming > Python Core

Python Core & Automation Course

Master modern scripting, object-oriented concepts, and automated workflows. Write clean, professional code, scrape complex web portals, and integrate SQLite databases from scratch.

6-Week Intensive Program Beginner to Advanced Automation & Scripting
4.8
★ ★ ★ ★ ★
(980 ratings) 3,420 students enrolled
Created by Cognito Insights Academy Development Team
Last updated 06/2026 English

Course at a Glance

6 Weeks Duration
15.0+ Hours Video Content
120+ Videos Total Lessons
10+ Tools Key Tools
40+ Labs Practical Code
Beginner-Adv Skill Level
Digital Cert On Completion
Lifetime Access

What you'll learn

Write complex Python scripts using robust variables, conditions, lists, dicts, and custom functions.
Understand object-oriented programming (OOP) principles: classes, inheritance, encapsulation.
Automate filesystem operations like directory walking, batch file renaming, and log reading.
Perform web scraping to pull structured data tables using BeautifulSoup and requests modules.
Integrate local databases with SQLite to read, filter, insert, and update structured tables.
Develop clean GUI dashboard applications using libraries and configure custom executable packages.

About this course

Python is the backbone of modern automation, data pipelines, and machine systems. This course takes you from a complete beginner with zero lines of code to an advanced level where you can write professional scripts, build database applications, and automate tedious manual processes.

Each week consists of hands-on labs where you will solve actual programming puzzles, script filesystem automation tools, download live stock market figures, and construct dynamic dashboard widgets. You will work inside our online cloud sandbox environment, getting immediate feedback on syntax errors and code optimization suggestions from expert mentors.

What is Included

  • 120+ video lectures covering syntax, OOP, modules, and database structures.
  • 40+ practical labs focusing on custom programming problems.
  • 10+ Industry libraries: requests, BeautifulSoup4, SQLite3, Pandas, OpenPyXL, and Tkinter.
  • Weekly Live Coding Reviews with dedicated senior Python engineers.
  • Access to student discord channel for peer support and hackathons.
  • Cognito Insights Digital Certification of Completion issued instantly.

Course Content

6 Weeks • 6 Chapters • 120+ Lectures • 15.0+ Hours total length

WEEK 01 — Python Environment Setup & Logic Foundations

  • ▶ Downloading & Configuring Python 3 on Windows/Mac Preview 10:00
  • ▶ Working with VS Code & PyCharm IDE Interfaces Preview 08:00
  • ▶ Executing Scripts via Command Terminal 07:00
  • ▶ Understanding Variable Bindings & Memory Reference 09:00
  • ▶ Primitive Data Types (Integers, Floats, Strings, Booleans) 11:00
  • ▶ Arithmetic & Logical Operators 08:00
  • ▶ Typecasting and Input Functions 07:00

WEEK 02 — Data Structures & Loop Operations

  • ▶ Manipulating Arrays with Python Lists 12:00
  • ▶ Tuple Immutability and Use Cases 08:00
  • ▶ Dictionary Key-Value Maps 12:00
  • ▶ Understanding Sets and Unique Arrays 10:00

WEEK 03 — Functions & File Automation

  • ▶ Defining def Methods, Arguments, & Return Values 10:00
  • ▶ Variable Scope Rules (Local vs Global) 10:00
  • ▶ Lambda Expression Syntax 10:00

WEEK 04 — OOP Principles in Python

  • ▶ Declaring Classes & Constructor __init__ Methods 12:00
  • ▶ Understanding Object Inheritance & Super Classes 14:00
  • ▶ Polymorphism and Method Overriding 12:00

WEEK 05 — Web Scraping & Database Operations

  • ▶ HTML Parsing with BeautifulSoup4 12:00
  • ▶ Downloading Web Pages via Requests 10:00
  • ▶ Writing SQL Queries inside SQLite Database Connections 13:00
  • ▶ Mapping Scraped Tables directly to local SQL tables 10:00

WEEK 06 — Capstone Automation Project

Apply python concepts to construct an automated system that scrapes daily pricing details, saves logs, formats database records, and compiles a desktop GUI window.

  • Create custom scrapers for e-commerce tables
  • Map logs to local databases
  • Build dashboard charts using matplotlib
  • Compile a script using PyInstaller