Data Analytics & Visualization Using Python (with Project)

سرفصل های دوره

:Crash Course

1. Introduction to Business and Data

1.1 Resources.zip

1. 1.1 Overview

2. 1.2 Key Concepts

3. 1.3 Python Introduction

2. Python Basics and Jupyter Notebooks

1. 2.1.1 Python Programming Basics Part-1

2. 2.1.2 Python Programming Basics Part-2

3. 2.1.3 Python Programming Basics Part-3

4. 2.2 Understanding Jupyter Notebook

3. Operators and Conditionals

1. 3.1 Operators in Python

2. 3.2 Conditionals in Python

4. Loops and function

1. Loops in Python

2. Functions in Python

5. Object-Oriented Programming (OOP) and NumPy

1. Object-Oriented Programming

2. Arrays in Python

3. Numpy overview

6. Pandas Library and Data Manipulation

1. Introduction to pandas

2. Introduction to pandas Series

3. Working with DataFrames

7. Working with Files and Data Importing

1. File Handling File vs. File Object, Read vs. Parse

2. Structured vs. Semi-Structured and Unstructured Data

3. Importing JSON and Excel files

8. Data Cleaning and Preprocessing

1. Data Cleaning and Cleaning Techniques

2. Pandas Methods and Operations

9. Exploratory Data Analysis (EDA)

1. Exploratory Data Analysis (EDA)

2. EDA - Practical Session

10. Advanced Topics

1. Data gathering and collection techniques

2. Practical exercises with real-world APIs

3. Linear Algebra and NumPy

11. Capstone Project

1. Project - Student Placement Prediction

189,000 تومان

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تولید کننده: Udemy