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Python: Python Programming for Artificial Intelligence (1)

Learn Python like a Pro! Start with basics to learn Data Science, Machine Learning and Artificial Intelligence - (2021)
Instructor:
DATAI TEAM
239 students enrolled
English [Auto]
Go from a total beginner to a confident Python programmer
You can write "Advanced in Python for Artificial Intelligence" with peace of mind in your CV
It will be easier for you to adapt to other languages after learning Python
This course is only 1 in 7 of what I want to teach you. This course will be the basis of our last course, artificial intelligence course. To give an example, if life is an artificial intelligence, this course is your first steps in this life
Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science and Artificial Intelligence
You will learn the Numpy, Pandas and Matplotlib libraries which are the basic data science libraries.
Optional: Add the Python Object-Oriented Programming (OOP) skills to your
Learn Python from experienced professional software developers.

THIS COURSE IS THE FIRST PART OF 7-STEP ARTIFICIAL INTELLIGENCE JOURNEY.

  1. Python   

  2. Data Science

  3. Visualization Tools

  4. Machine Learning

  5. Deep Learning

  6. Statistical Learning

  7. Reinforcement Learning

We will learn the Python language infrastructure required to learn our ultimate goal, Artificial Intelligence algorithms.

PYTHON COURSE DESCRIPTION

  • Python Introduction

    • Python Installation

    • Udemy Description

    • Datai Team Github and Resource

  • Python Basics

    • Variables  

    • Strings 

    • Numbers 

    • Built-in Function

    • User Defined Function

    • Lambda Function   

    • List   

    • Tuple   

    • Dictionary   

    • If-else statements   

    • For and While Loops

  • Object Oriented Programming (OOP)   

    • Class and Constructor    

    • Class Variables

  • Dealing with Programming Errors   

    • Syntax Errors

    • Exceptions   

  • Numpy Library

    • Numpy Basics

    • Numpy Operations

    • Indexing and Slicing   

    • Shape Manipulation   

    • Stacking Arrays   

    • Convert and Copy Array   

  • Pandas Library

    • Pandas Introduction 

    • Pandas Basic Methods 

    • Indexing and Slicing    

    • Filtering   

    • List Comprehension   

    • Concatenating   

    • Transform Data   

  • Matplotlib Library

    • Pandas Review 

    • Line Plot   

    • Scatter Plot   

    • Histogram   

    • Bar Plot   

    • Subplots   

  • Optional: Object Oriented Programming (OOP)

    • Classes

    • Attributes

    • Methods

    • Methods vs Functions

    • Constructor/Initializer

    • Encapsulation

    • Inheritance

    • Abstract Classes

    • Overriding

    • Polymorphism

    • Rent a Vehicle Project

  • 2 Practice Exam: Midterm + Final Exams

  • 26 Quizzes

WHY PYTHON?

  • According to 2020 IEEE research, Python is one of the most used and preferred programming languages worldwide.

  • Python is the first choice of newcomers to coding thanks to its easy learning.

  • Python is open source, supported by the world’s largest companies such as Facebook or Google.

  • When it comes to data science, machine learning or artificial intelligence, Python language comes to mind first. This causes Python to have a large worldwide audience.

  • In terms of professional career, Python is one of the languages with the most opportunities.

THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE

  • Coding ability from scratch: We will code together.

  • Codes and Templates: You can download every Python template and code we have created in the course. Thanks to this code and template, you create the infrastructure for the applications and projects that you will make later.

  • Theory and Logic: We not only tell you how to write code, but also the logic and theory behind the code we write, and why we write such a code.

  • In-class support: We don’t just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.

WHO WE ARE: DATAI TEAM ACADEMY

DATAI TEAM is a team of Python Programmers and Data Scientists.

Let’s register for the course.

Introduction

1
Python Introduction
2
Python Installation
3
Datai Team Github and Resources
4
Optional: Google Colab

Python Basics

1
Variables
2
Strings
3
Numbers
4
Variable - String - Number
5
Built-in Functions
6
User Defined Functions
7
Default and Flexible Functions
8
Built-in - User Defined - Default Functions
9
Practice 1
10
Lambda Function
11
Lambda Function
12
List
13
Tuple
14
Dictionary
15
List - Tuple - Dictionary
16
Conditionals (if-else Statements)
17
Practice 2
18
For Loop
19
While Loop
20
If Else Statement - For & While Loops
21
Practice 3

Object Oriented Programming

1
Class and Constructor
2
Class Variables
3
Class Example
4
Object Oriented Programming
5
Optional Section: Object Oriented Programming

Dealing with Programming Errors

1
Syntax Error
2
Try - Except 1
3
Try - Except 2
4
Programming Errors
5
Practice Test 1: Midterm

Hello, We have completed half of our Python course. At this point, we can take our first midterm exam. Good luck to you all.


If you do not succeed in the exam, I suggest you to both repeat the things you could not do and to search from different sources on the internet.

Numpy

1
Numpy Basics
2
Numpy Basics
3
Numpy Basic Operations
4
Numpy Basic Operations
5
Indexing and Slicing
6
Indexing and Slicing
7
Shape Manipulation
8
Shape Manipulation
9
Stacking Arrays
10
Stacking Arrays
11
Convert and Copy Array

Pandas

1
Introduction to Pandas
2
Pandas Basic Methods
3
Pandas Basic Methods
4
Indexing and Slicing Data Frames
5
Indexing and Slicing Data Frames
6
Filtering Pandas Data Frame
7
Filtering Pandas Data Frame
8
List Comprehension
9
Concatenating Data
10
Concatenating Data
11
Transforming Data

Visualization with Matplotlib

1
Pandas Review
2
Line Plot
3
Scatter Plot
4
Histogram
5
Bar Plot
6
Subplots
7
Matplotlib

Python Final Exam

1
Practice Test 2: Final Exam

We are at the end of our Python course. Now we have a final exam. Good luck!

If you fail the exam, I suggest you to study the subjects you failed, both from our courses and from different sources.

Conclusion

1
Python Conclusion
2
Python Additional Resources

Optional Section: Object Oriented Programming

1
Classes
2
Classes
3
Attributes
4
Attributes
5
Methods
6
Methods vs Functions
7
Methods
8
Constructor/Initializer
9
Constructor/Initializer
10
Calculator Project
11
Calculator Homework
12
Encapsulation
13
Encapsulation
14
Inheritance
15
Inheritance
16
Inheritance Project
17
Abstract Classes
18
Abstract Classes
19
Overriding
20
Overriding
21
Polymorphism
22
Polymorphism
23
Lecture Project
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Certificate of Completion
Python: Python Programming for Artificial Intelligence (1)
Category:
Development
Teacher
Daniel W
Price:
$218.98 $169
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