Python Programming

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Python Programming

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Course Overview

I. Introduction to Python

  • Introduction to Python and its features
  • Installing Python and Setting up Development Environment
  • Running Python Programs
  • Basic Syntax and Variables
  • Data Types and Type Conversion
  • Operators and Expressions

II. Control Structures and Functions

  • Conditional Statements (if, elif, else)
  • Loops (for, while)
  • Functions and Methods
  • Anonymous Functions (Lambda)
  • Recursion
  • Exception Handling

III. Data Structures

  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Arrays
  • Strings
  • File Handling

IV. Data Analytics Libraries

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • SciPy
  • Statsmodels

V. Data Visualization

  • Basic Plots and Charts
  • Advanced Visualization Techniques
  • Building Interactive Dashboards

VI. Machine Learning with Python

  • Introduction to Machine Learning
  • Preprocessing Data
  • Supervised Learning (Regression, Classification)
  • Unsupervised Learning (Clustering, Dimensionality Reduction)
  • Model Evaluation

VII. Web Scraping

  • Understanding HTML and CSS
  • Web Scraping using Python
  • Working with APIs

VIII. Project Work

  • Analyzing Real-world Data
  • Building Data-driven Applications

Topics for this course

  • I. Introduction to Python
    • Installing Python and Setting up Development Environment

      00:00:00

    • Introduction to Python and its features

      00:00:00

    • Basic Syntax and Variables

      00:00:00

    • Data Types and Type Conversion

      00:00:00

    • Operators and Expressions

      01:00:00

    • Practice Here with Colab

      00:00:00

  • II. Control Structures and Functions
    • Conditional Statements (if, elif, else)

      01:00:00

    • Loops (for, while)

      00:00:00

    • Functions and Methods

      01:00:00

    • Anonymous Functions (Lambda) and function types

      00:00:00

    • Exception Handling

      00:00:00

    • Python oops

      01:00:00

  • III. Data Structures
    • List

      01:00:00

    • Tuple

      00:00:00

    • Set

      00:00:00

    • Dictionaries

      00:00:00

    • Array

      00:00:00

    • String

      00:00:00

    • Python Oops

      01:00:00

  • IV. Data Analytics Libraries
    • Numpy and its operations

      01:00:00

    • Example of numpy

      00:00:00

    • Pandas

      01:00:00

    • Pandas Example

      00:00:00

    • Matplotlib

      00:00:00

    • Matplotlib marketing use case

      00:00:00

    • Seaborn

      00:00:00

  • V. Data Visualization
    • Basic Plots and Charts

      00:00:00

    • Advanced Visualization Techniques

      01:00:00

    • Building Interactive Dashboards

      00:00:00

  • VI. Machine Learning with Python
    • Introduction to Machine Learning

      00:00:00

    • Preprocessing Data

      00:00:00

    • Supervised Learning (Regression, Classification)

      00:00:00

  • VII. Web Scraping
    • Understanding HTML and CSS with example

      00:00:00

    • Web Scraping using Python

      00:00:00

    • Working with APIs

      00:00:00

  • VIII. Project Work
  • Python ebooks
    • Python Read Book

      00:00:00

Free
  • Lessons 36
  • Enrolled 22
  • Skill Experts
  • Last Update May 20, 2023
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