Friday, December 1, 2023

Python Absolute Beginners In 2023 , Python For Data Science & Machine Learning, Docker for Beginners [Udemy free 3 coupons]


Ultimate Python Bootcamp For Data Science & Machine Learning

Learn How To Code Python For Data Science, ML & Data Analysis, With 100+ Exercises and 4 Real Life Projects !


요구 사항

Students must be willing to learn the Data Analysis with Python language

If you know basics of Python that is well and good

Basic Or intermediate experience with Microsoft Excel or another spreadsheet software, but not necessary

Basic knowledge of data types (strings, integers, floating points, Booleans) etc, but not necessary

Basic Programming knowledge Or knowing any other programming languages will also helps

설명

Hi, dear learning aspirants welcome to “Ultimate Python Bootcamp For Data Science & Machine Learning ” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s technical world. Python offers both object-oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course. 


This course is for those who are ready to take their data analysis skill to the next higher level with the Python data analysis toolkit, i.e. "Pandas".


This tutorial is designed for beginners and intermediates but that doesn't mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration. 


In this tutorial, I will be covering all the basic things you'll need to know about the 'Pandas' to become a data analyst or data scientist.   


We are adopting a hands-on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-life projects (The projects included are the part of large size research-oriented industry projects).


I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.




What you will learn:


You will become a specialist in the following things while learning via this course


“Data Analysis With Pandas”.


You will be able to analyze a large file


Build a Solid Foundation in Data Analysis with Python


After completing the course you will have professional experience on;


Pandas Data Structures: Series, DataFrame and Index Objects


Essential Functionalities


Data Handling


Data Pre-processing


Data Wrangling


Data Grouping


Data Aggregation


Pivoting


Working With Hierarchical Indexing


Converting Data Types


Time Series Analysis


Advanced Pandas Features and much more with hands-on exercises and practice works.


이 강의의 대상:

Beginner Python developers - Curious to learn about Data Science Or Data Analysis

Data Analysis Beginners

Aspiring data scientists who want to add Python to their tool arsenal

Students and Other Professionals

AI and ML aspirants to upgrade their knowledge in Data Preprocessing before applying the machine learning algorithms to their projects

Data Analyst job seekers who wants to update their Resume with Python's data analysis toolkit




Excellent Python 3 Bootcamp For Absolute Beginners In 2023

Master Python By Building 100s Of Projects. Master Your Coding Skill To Become A Software Engineer Or Python Developer


요구 사항

No programming experience needed - I'll teach you everything you need to know

A Mac or PC computer with access to the internet

No paid software required - I'll teach you how to use Spyder, Jupyter Notebook & Python IDLE

I'll walk you through, step-by-step how to get all the software installed and set up

설명

Welcome to the Excellent Python 3 Bootcamp For Absolute Beginners In 2023- The Complete Python Pro Bootcamp, the only course you need to learn to code with Python.




If you spend daily half an hour or one hour then you will master Python 3.x & become an excellent coder in Python 3.x


This Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here's why:


The course is fully explained with practical proof not just with the theoretical explanation.


The course has been updated to be 2023 ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.


This course doesn't cut any corners, there are beautiful hand highlighted explanation videos and tens of real-world projects which you will get to build.


The curriculum was developed over a period of 2 years, with comprehensive student testing and feedback.


We've taught over 200,000 students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.


The course is constantly updated with new content, with new projects and modules determined by students - that's you!




We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.


The course includes HD video tutorials and builds your programming knowledge while making real-world Python projects.




Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:


Python 3 - the latest version of Python


Python IDLE, Jupyter Notebook, Spyder, Anaconda & Thonny


Python Scripting and Coding


Python Code Development


To Be Updated Very Soon


Data Science


Pandas


NumPy


Matplotlib


Seaborn




By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.




Sign up today, and look forward to:


Video Lectures


Code Challenges and Exercises


Fully Fledged Projects


Quizzes


Programming Resources and Cheat sheets


Downloads




Don't just take my word for it, check out what existing students have to say about my courses:




REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.




So what are you waiting for? Click the buy now button and join the world's highest-rated Coding Language Python Course.


이 강의의 대상:

If you want to learn to code from scratch through building fun and useful projects, then take this course.

If you are a complete beginner then this course will be everything you need to become a Python professional

If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.

If you are an intermediate Python programmer then course will help you level up to an advanced level. 



Docker for Beginners: a Hands-On Practice Course (+12 hours)

Learn how to create, integrate, run and share your own Docker Images online. Welcome to the World Docker Community !!


요구 사항

No previous knowledge on Docker or programming languages required

Basic Development experience will be useful

One should have an Operating System installed at his PC or desktop, preferably Linux Ubuntu... though Docker can be installed and run on Windows and iOS as well

설명

Hi all,


this is a Docker Course for beginners.


Initially designed to be a series of Youtube videos, I later decided to join them into a whole Udemy course, as a lot of content has been added, both regarding the theory as the practice of Docker Fundamentals.


Through this course, you'll will start from ZERO and learn everything you need to know about how to start dockerizing your own software applications and sharing those at Docker Hub Cloud. You'll learn how to create and deploy multiple integrated Docker Containers using different network types. You'll learn how to use Docker CLI and Docker Compose for easily running local and remote Docker images/containers. You'll also learn how to extend and reuse public Docker Images from Docker Hub and integrate those with your own, mounting up a whole system environment, in an easy, fast and automated way.


In this course, you'll learn in 8 Lectures (12+ hours):


01 - How to Install and Test Docker on Linux


02 - Create Your First Image, Containerize a Sample App and Share It at Docker Hub


03 - Containerize and Share a Full Spring Boot Application at Docker Hub


04 - Run MySQL from inside a Container and Test It with MySQL CLI and MySQL Workbench


05 - Integrate Multiple Containers Using Links - Spring Boot and MySQL


06 - Diving Into Networking Theory - The Bridge Network Driver


07 - Bridge Network in Practice - Default (with Links) x User-Defined (no Links)


08 - Docker Compose, YAML and CLI Statements Optimizations - Final Project Run


If you've never used Docker before, welcome to this exciting, essential and extremely useful technology.


If you're already a Docker user, surely there's a lot you'll gain from this course, adding up to your previous knowledge about this amazing deployment platform.


Docker is a "MUST-KNOW" technology for anyone who works or is interested in working with Software Industry, no matter what specific interests or position one may have.


Let's start this journey together and adventure into the Dockerizing world of Docker !! Welcome aboard !!


* midi songs used at the beginning and ending of each lecture have been freely supplied by Aleksandr Shamaluev at ashamaluevmusic website.


** set the displaying resolution of the lecture videos to 1k at the bottom right configuration button. Udemy generally sets a lower resolution. Although all videos have been rendered and uploaded in 4k, the max resolution at Udemy is 1k (or lower, if you do not set it manually).


이 강의의 대상:

For software developers who wanna learn about Docker in order to learn how to containerize their apps and integrate these with other images at Docker Hub

For software testers and deployers who wanna learn about Docker in order to learn how to create and run containers of images created by the development teams, mounting up the whole system environment in a simpler and automatic way

For general people interested in learning about Docker Images, Docker Containers, Docker CLI, Docker Compose and Docker Hub


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