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30-Day Money-Back Guarantee

This course includes:

  • 9 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Python

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

Python, Data Science, Machine Learning, Big Data, Object Oriented Python, NLP (Natural Language Processing) and More...
Rating: 3.9 out of 53.9 (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

Course content

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

Instructor

Morteza Kordi
Developer, Digital Marketer, Business Expert and Teacher
Morteza Kordi
  • 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 ◄




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