Python: Python Programming for Artificial Intelligence (1)
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Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- Beginner
- Duration
- 9 hours
- Lessons
- 73 lessons
- Certificate
- Available on completion
- Course author
- DATAI TEAM
-
- 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.
Description
THIS COURSE IS THE FIRST PART OF 7-STEP ARTIFICIAL INTELLIGENCE JOURNEY.
Python
Data Science
Visualization Tools
Machine Learning
Deep Learning
Statistical Learning
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.
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