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

139,000 تومان

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خرید دانلودی فوری

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تولید کننده: Udemy