Udemy

Data Science: Python for Data Analysis Full Bootcamp

立即報名
  • 195,869 名學生
  • 更新於 6/2023
  • 可獲發證書
4.2
(2,479 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
6 小時 10 分鐘
教學語言
英語
授課導師
Ahmed El Mohandes, SDE Arts
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.2
(2,479 個評分)
4次瀏覽

課程簡介

Data Science: Python for Data Analysis Full Bootcamp

Learn and build your Python Programming skills from the ground up in addition to Python Data Science libraries and tools

Hello and welcome to Data Science: Python for Data Analysis Full Bootcamp.

Data science is a huge field, and one of the promising fields that is spreading in a fast way. Also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.

Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.

And the employment of data science and its tools depends on the purpose you want from them.

For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.

One of the most powerful programming languages ​​that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.


This course will cover:

  • Python tools for Data Analysis

  • Python Basics

  • Python Fundamentals

  • Python Object-Oriented

  • Advanced Python Foundations

  • Data Handling with Python

  • Numerical Python(NumPy)

  • Data Analysis with Pandas

  • Data Visualization with Matplotlib

  • Advanced Graphs with Seaborn

  • Instructor QA Support and Help

HD Video Training + Working Files + Resources + QA Support.

In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.

I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 500,000 engineers and developers around the world in topics related to programming languages ​​and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, Matplotlib and finally Seaborn.

I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.

We have a lot to cover in this course.

Let’s get started!

課程章節

  • 13 個章節
  • 76 堂課
  • 第 1 章 Mastering Python, Data Handling, Analysis and Visualization
  • 第 2 章 The Basics of Python
  • 第 3 章 Python Data Structures
  • 第 4 章 The Fundamentals of Python
  • 第 5 章 OOP in Python
  • 第 6 章 Advanced Foundations
  • 第 7 章 Python Data Handling
  • 第 8 章 Numerical Python - NumPy
  • 第 9 章 Analyze Data with Pandas
  • 第 10 章 Visualize Data with Matplotlib
  • 第 11 章 Advanced Data graphs with Seaborn
  • 第 12 章 Resources
  • 第 13 章 BONUS SECTION

課程內容

  • Code with Python Programming Language
  • Python Functional Programming
  • Structure Data using collection containers
  • Object-Oriented Design
  • Advanced Python Foundations
  • Handling Data with Python Libraries
  • Numerical Python
  • Extracting and Analyzing data from different resources
  • Data Analysis with Pandas
  • Data Visualization using matplotlib
  • Advanced Visualization with Seaborn
  • Build Python solutions for data science
  • Get Instructor QA Support and help


評價

  • N
    Nuhu Ahmed
    4.0

    Good

  • Q
    Qamar Mehmood
    4.5

    good course

  • M
    Muhammad Nabeel Arshad
    4.5

    good course

  • M
    Muhammad Zain
    5.0

    welldone

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意