The Ultimate Hands-On Python & Data Science - Learn Python 3

Name: The Ultimate Hands-On Python & Data Science - Learn Python 3
Brand: Udemy
SKU: course:2075752
Rating: 3.9 (20 reviews)

Python, Data Science, Machine Learning, Big Data, Object Oriented Python, NLP (Natural Language Processing) and More...

(20 ratings)

102 students

Created by Morteza Kordi

Last updated 10/2020

English

English [Auto]

30-Day Money-Back Guarantee

What you'll learn

Learn to develop Python apps
Learn advanced python features
Learn data science
Learn Deep Learning from the ground up
Learn Machine Learning
Create Python GUI Applications l
Learn Jupyter-Notebook
Learn Object Oriented Programming in Python
Learn Array Oriented Programming in Python
Learn NLP ( Natural Language Processing ) in Python
Learn to create games with python
Learn Big Data

5 sections • 156 lectures • 9h 10m total length

Preview01:17
Anaconda python distribution - Install
02:32
Updating Python Anaconda Distribution on Windows or Linux - Part 1
03:02
Updating Python Anaconda Distribution on Windows or Linux - Part 2
04:05
Updating Python Anaconda Distribution on Windows or Linux - Part 3
00:09
Updating Python Anaconda Distribution on Mac
04:09
Python Package Manager
01:22
jupyter-matplotlib - A visualization tool for python
03:44
Preview04:20

Intro to iPython Interpreter - Part 1
03:06
Intro to iPython Interpreter - Part 2
04:36
Windows iPython & Visual Studio Tips and Tricks
01:36
Executing a python program with iPython interpreter - Part 1
03:08
Executing a python program with iPython interpreter - Part 2
02:57
Create a python program using jupyter notebook - Part 1
02:47
Create a python program using jupyter notebook - Part 2
03:05
Create a python program using jupyter notebook - Part 3
03:14
Create a python program using jupyter notebook - Part 4
02:41

Preview03:21
Variables in programming and python - Part 1
03:19
Variables in programming and python - Part 2
03:24
Variables in programming and python - Part 3
03:04
Variables in programming and python - Part 4
04:19
Arithmetic operations in Python - Part 1
03:06
Arithmetic operations in Python - Part 2
03:19
Arithmetic operations in Python - Part 3
03:09
Arithmetic operations in Python - Part 4
04:35
Single and Double Quoted Strings in Python - Part 1
03:06
Single and Double Quoted Strings in Python - Part 2
03:26
Single and Double Quoted Strings in Python - Part 3
03:35
Single and Double Quoted Strings in Python - Part 4
03:37
Single and Double Quoted Strings in Python - Part 5
02:26
Single and Double Quoted Strings in Python - Part 6
04:15
Triple quoted strings in python - Part 1
03:12
Triple quoted strings in python - Part 2
04:40
Getting Input from user in python - Part 1
03:37
Getting Input from user in python - Part 2
03:28
Getting Input from user in python - Part 3
03:47
Getting Input from user in python - Part 4
05:05
Decision Making & If Statements in Python - Part 1
03:38
Decision Making & If Statements in Python - Part 2
04:07
Decision Making & If Statements in Python - Part 3
03:29
Decision Making & If Statements in Python - Part 4
04:01
Decision Making & If Statements in Python - Part 5
04:21
Decision Making & If Statements in Python - Part 6
03:08
Decision Making & If Statements in Python - Part 7
03:32
Decision Making & If Statements in Python - Part 8
05:12
Objects & Dynamic Typing in Python - Part 1
03:10
Objects & Dynamic Typing in Python - Part 2
04:20
Objects & Dynamic Typing in Python - Part 3
02:05
Intro to Data Science - Basic Descriptive Statistics - Part 1
03:49
Intro to Data Science - Basic Descriptive Statistics - Part 2
04:23
Intro to Data Science - Basic Descriptive Statistics - Part 3
03:49
Intro to Data Science - Basic Descriptive Statistics - Part 4
03:37
Intro to Data Science - Basic Descriptive Statistics - Part 5
01:50

Preview03:49
If Statements in Depth - Part 1
03:11
If Statements in Depth - Part 2
04:09
If Statements in Depth - Part 3
03:07
If Statements in Depth - Part 4
03:19
If Statements in Depth - Part 5
03:56
If Statements in Depth - Part 6
01:39
Elif Statements in Python - Part 1
03:44
Elif Statements in Python - Part 2
03:25
Elif Statements in Python - Part 3
03:06
Elif Statements in Python - Part 4
04:31
Elif Statements in Python - Part 5
04:34
Elif Statements in Python - Part 6
02:06
While Statements in Python - Part 1
04:13
While Statements in Python - Part 2
03:45
While Statements in Python - Part 3
02:22
For Statements in Python - Part 1
03:14
For Statements in Python - Part 2
03:55
For Statements in Python - Part 3
04:59
For Statements in Python - Part 4
04:26
For Statements in Python - Part 5
05:11
Augmented Assignments - Part 1
03:29
Augmented Assignments - Part 2
03:49
Sequence-Controlled Iteration - Part 1
03:21
Sequence-Controlled Iteration - Part 2
03:23
Sequence-Controlled Iteration - Part 3
02:49
Sequence-Controlled Iteration - Part 4
03:21
Sentinel-Controlled Iteration - Part 1
03:19
Sentinel-Controlled Iteration - Part 2
03:03
Sentinel-Controlled Iteration - Part 3
03:53
Sentinel-Controlled Iteration - Part 4
03:53
Sentinel-Controlled Iteration - Part 5
02:11
Built in Range Function in Python - Part 1
03:09
Built in Range Function in Python - Part 2
03:10
Built in Range Function in Python - Part 3
03:10
Built in Range Function in Python - Part 4
03:18
Monetary Values in Python - Part 1
04:08
Monetary Values in Python - Part 2
03:46
Monetary Values in Python - Part 3
02:41
Break & Continue Statements - Part 1
03:05
Break & Continue Statements - Part 2
03:34
Break & Continue Statements - Part 3
04:46
Boolean Operators in Python - Part 1
03:49
Boolean Operators in Python - Part 2
03:20
Boolean Operators in Python - Part 3
03:23
Boolean Operators in Python - Part 4
03:53
Boolean Operators in Python - Part 5
04:21
Data Science: Measures of Central Tendency - Part 1
03:33
Data Science: Measures of Central Tendency - Part 2
03:34
Data Science: Measures of Central Tendency - Part 3
04:09
Data Science: Measures of Central Tendency - Part 4
04:31

Section Intro
02:08
How to create a custom function in python - Part 1
04:15
How to create a custom function in python - Part 2
04:51
How to create a custom function in python - Part 3
03:01
How to create a custom function in python - Part 4
03:01
How to create a custom function in python - Part 5
03:00
How to create a custom function in python - Part 6
03:24
How to create a function with more than one parameter - Part 1
03:09
How to create a function with more than one parameter - Part 2
03:49
How to create a function with more than one parameter - Part 3
03:27
How to create a function with more than one parameter - Part 4
03:03
How to create a function with more than one parameter - Part 5
04:17
How to create a function with more than one parameter - Part 6
03:05
How to create a function with more than one parameter - Part 7
02:52
How to generate random numbers in python - Part 1
03:34
How to generate random numbers in python - Part 2
03:31
How to generate random numbers in python - Part 3
03:10
How to generate random numbers in python - Part 4
01:51
Prison Break Game - Part 1 - Rules of the Game
05:32
Prison Break Game - Part 2 - Code the Game!
03:25
Prison Break Game - Part 3 - Code the Game!
03:39
Prison Break Game - Part 4 - Code the Game!
04:41
Prison Break Game - Part 5 - Code the Game!
04:14
Prison Break Game - Part 6 - Code the Game!
03:23
Prison Break Game - Part 7 - Code the Game!
03:46
Prison Break Game - Part 8 - Code the Game!
02:46
Math Module in Pyton - Part 1
03:21
Math Module in Pyton - Part 2
04:11
Default Parameter Value in Functions - Part 1
04:09
Keyword Argument in Python - Part 1
03:12
Keyword Argument in Python - Part 2
03:45
Flexible Argument List - Part 1
03:21
Flexible Argument List - Part 2
04:54
Object Functions in Python
05:03
Scope Rules in Python
05:52
Import in Depth - Part 1
04:24
Import in Depth - Part 2
01:29
Import in Depth - Part 3 - As Clause
02:08
Passing Arguments in Depth - Part 1
03:57
Passing Arguments in Depth - Part 2
06:03
Passing Arguments in Depth - Part 3
02:50
Passing Arguments in Depth - Part 4
05:32
Functional Programming in Python - Part 1
05:28
Functional Programming in Python - Part 2
02:15
Data Science - Measures of Dispersion - Part 1
08:21
Data Science - Measures of Dispersion - Part 2
04:34
Data Science - Measures of Dispersion - Part 3
02:59
Data Science - Measures of Dispersion - Part 4
00:58
Data Science - Measures of Dispersion - Part 5
02:05
New Lectures are Coming!
00:01

Requirements

A computer with an internet connection

Description

The main goal of this course is to teach you how to code using Python 3 & Data Science.

My name is Morteza Kordi, Senior Python Programmer & Data Science Specialist and Udemy instructor with over 60,000 satisfied students, and I’ve designed The Complete Python & Data Science Course - Python 3 Bootcamp with one thing in mind: you should learn by practicing your skills and building apps.

I’ll personally be answering any questions you might have and I’ll be happy to provide links, resources and any help I can offer to help you master Python 3 & data Science as well as Machine Learning.

In this course, I will demonstrate the power of Python & Data Science, and how I dramatically increased my career prospects as a Programmer.

New to Programming or Python? I'll personally teach you fundamentals of programming & Python. you will master the basics before diving into the advanced stuff. So no programming experience is required.
Want to learn about Natural Language Processing (NLP)? This Course contains a comprehensive course about NLP too.
Want to learn about IBM Watson and Cognitive Computing? If you want to process unstructured data, deal with human limitations, improve performance and abilities or handle enormous quantities of data then you should learn IBM Watson and Cognitive Computing. This Course has the answer for you.
Want to learn Machine Learning? If you want to simplify your product marketing, get accurate sales forecasts, facilitate accurate medical predictions and diagnosis, simplify time-intensive documentation in data entry, improve the precision of financial rules and models and easy spam detection then you should learn Machine Learning. Again This Course has the answer for you.
Want to learn Deep Learning? Do you struggle with processing large numbers of features? If yes, then you should learn Deep Learning too. Again This Course covers this topic too!

So... Why This Course?!

Learn to code like the pros - not just copy and paste
Learn Latest Python 3 APIs and services - we don't teach old junk
Learn to build apps - a lot of them
No Programming Experience is needed
Build Real-world Apps
Lifetime Support

Don't wait and join us now by clicking the BUY NOW button!

Who this course is for:

People with zero programming experience
Intermediate python developers who want to learn advanced python and data science

Morteza Kordi

Developer, Digital Marketer, Business Expert and Teacher

4.2 Instructor Rating
5,639 Reviews
73,546 Students
9 Courses

Bestselling Instructor, 9 Courses, Serving over 60,000 Students, Senior Developer

I'm Morteza Kordi, Software Developer and Digital Marketing Specialist.

I'm passionate about technology and marketing. I always wanted to share my knowledge with the world and Udemy gave me this opportunity to teach online.

Why are 60,000+ students enrolled in my online courses?

1) I teach with passion and purpose! Every course is delivered with my students in mind. We are in the same team. We work until we get results.

2) I'll answer every question that my students ask.

4) Most of my students have already published their Android Apps to Google Play.

5) My courses are project-based. Students learn each concept by working on real-world projects.

► Try enrolling in a course with me and see for yourself ◄

This course includes:

The Ultimate Hands-On Python & Data Science - Learn Python 3

What you'll learn

Course content

Requirements

Description

Who this course is for:

Instructor

This course includes:

The Ultimate Hands-On Python & Data Science - Learn Python 3

What you'll learn

Course content

Intro to Python9 lectures • 25min

iPython Interpreter9 lectures • 27min

Basics of Python and Programming37 lectures • 2hr 14min

Decision Making in Depth51 lectures • 3hr 3min

Functions in Python50 lectures • 3hr 2min

Requirements

Description

Who this course is for:

Instructor