1. Python basics

• 1.1 Introduction to the course. IDE, Environment setup and basic syntax

• 1.2 Variables, Variable types and Basic operators

• 1.3 Date/Time, Type casting and String formatting/manipulation

• 1.4 Data structures and Conditional statements

• 1.5 Loops and Basic Algorithms

• 1.6 --- Practice ----

• 1.7 Functions and Scope

• 1.8 Modules and File I/O

• 1.9 Collections

• 1.10 --- Practice ---

• 1.11 Web-requests, APIs and Package management

• 1.12 Project: Instagram bot

• 1.13 Project: Instagram bot

2. Python intermediate and advanced

• 2.1 Python virtual environment and Regular Expressions

• 2.2 OOP: Classes/objects, attributes and constructor

• 2.3 OOP: Methods and Inheritance

• 2.4 --- Practice ---

• 2.5 OOP: Polymorphism and Encapsulation

• 2.6 Exception Handling and Multi-threading

• 2.7 Web scarping + Automated Telegram Channel

• 2.8 Lambda, Filter, Reduce and Map

• 2.9 --- Practice ---

• 2.10 Automate browser actions (E.g. Form filling, Registration, etc)

• 2.11 Iterators and Generators

• 2.12 Decorators and Unit Testing

• 2.13 Automate GUI tasks (E.g. Auto-clicks, Automated customer support, etc)

3. Data analysis and visualization

• 3.1 Structured Query Language (SQL) and MySQL basics

• 3.2 MySQL: Insert, Update, Delete, etc

• 3.4 MySQL: Join, Group by, Having, etc

• 3.5 --- Practice ---

• 3.6 Numpy

• 3.7 Exploring Data with Pandas: Fundamentals

• 3.8 Exploring Data with Pandas: Intermediate

• 3.9 --- Practice ---

• 3.10 Data visualization with Matplotlib: Fundamentals

• 3.11 Data visualization with Matplotlib: Intermediate

• 3.12 Data Analysis: Data.gov.uz Open Data Analysis

• 3.13 Stock Market Analysis + Crypto Trading Bot Strategy

• 3.14 Crypto Trading Bot Implementation