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دسته بندی دوره ها
1

Data Analysis with Python

سرفصل های دوره

Master data analysis using Python, pandas, NumPy, data visualization, and real-world projects.


1. Introduction to Business and Data
  • 1.1 Supported Files-PPTs.zip
  • 1. Introduction to Bussiness and Data

  • 2. Python Basics and Jupyter Notebooks
  • 1. Python Basics and Jupyter Notebook
  • 2. Python Basics and Jupyter Notebook- Lab Session
  • 3. Python Basics and Jupyter Notebook- Lab Session Continued

  • 3. Basic Python Syntax
  • 1. Basic Python Syntax
  • 2. Basic Python Syntax Practical
  • 3. Basic Python Syntax Practical Continued
  • 4. Basic Python Syntax Practical Continued
  • 5. Basic Python Syntax Practical Continued
  • 6. Conditional Programming in Python
  • 7. Conditional Programming in Python Practical
  • 8. Conditional Programming in Python Practical Continued
  • 9. Conditional Programming in Python Practical Continued

  • 4. Functions and Sequences
  • 1. Functions and Sequences
  • 2. Functions and Sequences Practicle session
  • 3. Functions and Sequences Practicle session Continued
  • 4. Functions and Sequences Practicle session Continued
  • 5. Functions and Sequences Practicle session Continued
  • 6. Functions and Sequences Practicle session Continued

  • 5. Object-Oriented Programming (OOP) and NumPy
  • 1. Object Oriented Programming (OOPS) and Numpy
  • 2. Object Oriented Programming (OOPS) and Numpy Practical session
  • 3. Object Oriented Programming (OOPS) and Numpy Practical session Continued
  • 4. Object Oriented Programming (OOPS) and Numpy Practical session continued
  • 5. Object Oriented Programming (OOPS) and Numpy Practical session continued
  • 6. Object Oriented Programming (OOPS) and Numpy Practical session continued

  • 6. Pandas Library and Data Manipulation
  • 1. Pandas Library and Data Manipulation
  • 2. Pandas Library and Data Manipulation Part-2
  • 3. Pandas Library and Data Manipulation Part-3

  • 7. Working with Files and Data Importing
  • 1. Working with Files and Data Importing
  • 2. Working with Files and Data Importing (Part-2)
  • 3. Working with Files and Data Importing (Part-3)

  • 8. Data Cleaning and Preprocessing
  • 1. Data Cleaning and Preprocessing
  • 2. Data Cleaning and Preprocessing Part- 3
  • 3. Pandas Methods and Operations
  • 4. Pandas Methods and Operations Part-2
  • 5. Pandas Methods and Operations Part-3
  • 6. Assignment
  • 7. Data Cleaning and Preprocessing Part-2
  • 8. Assignment Solution

  • 9. Exploratory Data Analysis (EDA)
  • 1. Exploratory Data Analysis (EDA)
  • 2. Exploratory Data Analysis (EDA) Part-2

  • 10. Advanced Topics
  • 1. Data Gathering and API
  • 2. Linear Algebra and Advance mathematics in Data Analytics

  • 11. Capstone Project
  • 1. Capstone Project
  • 2. Project Solution Part-1
  • 3. Project Solution Part-2
  • 4. Project Solution Part-3
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    تولید کننده:
    مدرس:
    شناسه: 41593
    حجم: 8551 مگابایت
    مدت زمان: 1172 دقیقه
    تاریخ انتشار: ۱۸ آذر ۱۴۰۳
    دسته بندی محصول
    طراحی سایت و خدمات سئو

    139,000 تومان
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