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    • Home
    • Introduction
      • About US
      • About Data Analysis
    • Courses
      • Job Ready Data Analyst
      • SAS
      • Python
      • T SQL
      • PL SQL
      • Tableau
      • Power BI
      • DataBricks
    • Apply Now
    • Meet Us
    • Contact Us
Sweet Analytics
  • Home
  • Introduction
    • About US
    • About Data Analysis
  • Courses
    • Job Ready Data Analyst
    • SAS
    • Python
    • T SQL
    • PL SQL
    • Tableau
    • Power BI
    • DataBricks
  • Apply Now
  • Meet Us
  • Contact Us

Learn Python

Python Programming

Python programmer

 

Python is a high-level, object-oriented programming language that is widely used for various purposes such as web development, data analysis, artificial intelligence, and machine learning. A Python course typically covers the following topics:

  • Introduction to Python: Overview of the language, its syntax, and basic programming concepts
  • Data Types and Structures: How to work with variables, data types, and data structures such as lists, tuples, and dictionaries
  • Control Structures: How to use loops, conditional statements, and functions to control program flow and perform tasks
  • File Input and Output: How to read from and write to files in Python
  • Modules and Libraries: Introduction to Python's standard library and how to use external libraries for advanced functionality
  • Object-Oriented Programming: Introduction to object-oriented programming concepts such as classes, objects, inheritance, and polymorphism
  • Exception Handling: How to handle errors and exceptions in Python programs
  • Regular Expressions: How to use regular expressions to search for patterns in text data
  • Data Analysis with Pandas: Introduction to the Pandas library for data manipulation and analysis
  • Data Visualization with Matplotlib: Introduction to the Matplotlib library for creating graphs and visualizations
  • Web Development with Django: Introduction to web development with Python and the Django framework

A Python course includes hands-on exercises and real-world case studies to help participants develop practical skills and apply what they have learned in a business context. The course may be delivered through online videos, tutorials, instructor-led training sessions, or a combination of these formats. Upon completing the course, participants will have a foundational understanding of Python programming and its capabilities for data analysis, web development, and other applications.

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