Udemy

Diploma in Python with Data Science and Machine Learning

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  • 46,632 名學生
  • 更新於 3/2023
4.1
(493 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
23 小時 0 分鐘
教學語言
英語
授課導師
Global Education Foundation
評分
4.1
(493 個評分)
3次瀏覽

課程簡介

Diploma in Python with Data Science and Machine Learning

Python Bootcamp with Data Science & Machine Learning with bonus Java series

Are you having an interest in learning a python programming language and searching for a better course for your brighter career? Then explore us and get your career solution right now.

Diploma in python programming course leads the students from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data. The use of this programming language is to store different types of data into a variable format. Python is one of the absolute, flexible and powerful open source language which can be used in scientific computing, finance, oil and gas, physics and signal processing. This programming language has recently begun to gain an ever-increasing market share. The cross-platform nature of Python programming enables a better use for different tasks on any operating system. This provides an opportunity towards the Python developers to get utilised for different IT related roles. One of the most amazing features of Python is that it is actually one person’s work. Generally, new programming languages are developed and published by large companies employing lots of professionals experts, and due to copyright rules, it is very hard to name any of the persons involved in the project. Python is an exception to all of this as it is very convenient to use by anyone having a knowledge of programming language.

TOPICS COVERED IN THE COURSE WILL BE

1) Introduction to course

1.1 Python Introduction

1.2 History of Python

1.3 Scope of Python

1.4 Applications of Python

1.5 Why Python is everywhere

1.6 How Python is different

1.7 Running Python

2.1 Variables in Python

2.2 Data Types

2.3 Lists in Python

2.4 Demo of List function

2.5 Tuples

2.6 Python Dictionary

3.1 Python Operators

3.2 If Else statement

3.3 Indentation

3.4 Assignment 1

4.1 Iterative Statements

4.2 While Statement

4.3 For Statement

4.4 Touple

4.5 Assignment 2

5.1 Demo 1 For loop

5.2 Demo 2 While loop

5.3 Demo 3 Range function

5.4 Test 1

6.1 Python Bootcamp Introduction

6.2 Data Science & ML introduction

6.3 Python Crash Course Introductory

6.4 Python Crash course lecture 1

6.5 Dictionaries in Python

6.6 Jupiter Python Exercises

6.7 Operators in Python

6.8 Iterative Statements

6.9 Python Functions

7.1 Data Analysis Numpy Part 1

7.2 Data Analysis Numpy Part 2

7.3 Data Analysis Numpy Part 3

7.4 Data Analysis Numpy Part 4

8.1 Data analysis Pandas part 1

8.2 Data analysis Pandas part 2

8.3 Data analysis pandas Part 3

8.4 Data analysis pandas Part 4

8.5 Data Analysis Pandas Part 5

8.6 Data Analysis Pandas Part 6

8.7 Data Analysis Pandas Part 7

9.1 Data Visualization Matplotlib Part 1

9.2 Data Visualization Matplotlib Part 2

10.1 Data Visualization seaborn Part 1

10.2 Data Visualization seaborn Part 2

11.1 Machine Learning part 1

11.2 Machine Learning part 2

12.1 to 12.12 At the end you will get bonus Java lecture series...

The use of this programming language is to store different types of data into a variable format. Python is one of the absolute, flexible and powerful open source language which can be used in scientific computing, finance, oil and gas, physics and signal processing. This programming language has recently begun to gain an ever-increasing market share. The cross-platform nature of Python programming enables a better use for different tasks on any operating system. This provides an opportunity towards the Python developers to get utilized for different IT related roles. One of the most amazing features of Python is that it is actually one person’s work. Generally, new programming languages are developed and published by large companies employing lots of professionals experts, and due to copyright rules, it is very hard to name any of the persons involved in the project. Python is an exception to all of this as it is very convenient to use by anyone having a knowledge of programming language

課程章節

  • 10 個章節
  • 120 堂課
  • 第 1 章 2. Coding in Python
  • 第 2 章 3. Core of Python in depth
  • 第 3 章 4. Multithreading in Python
  • 第 4 章 5. Demonstration
  • 第 5 章 6 Python Bootcamp
  • 第 6 章 7. Data Analysis Numpy series
  • 第 7 章 8. Data Analysis Pandas
  • 第 8 章 9. Data Visualization Matplotlib
  • 第 9 章 10. Data Visualization seaborn
  • 第 10 章 11. Machine Learning

課程內容

  • Advanced Python with Data science & Machine Learning
  • Python Data Types Lists, dictionary
  • Java programming in deep
  • Data science with Java
  • Machine Learning with python
  • Multithreading
  • Current Projects


評價

  • A
    Alan Bamford
    2.5

    As others have said the audio quality is not great. Lot of background noise

  • G
    Goutham Ganesh
    4.0

    The course is beneficial.

  • I
    Ismail Mohammed Goni
    5.0

    best decision i ever made, i hope to learn and understand more. great job

  • J
    Jorge David Zárate
    3.5

    El ingles puede llegar a ser un poco confuso con algunas pronunciaciones de palabras, pero en general el contenido es muy bueno

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