Free Udemy Course – 28 April 2021

Today’s Free Udemy Courses are; Python for Data Science & Machine Learning from A-Z, 25 Design Patterns in Java for Beginners, Beginner’s Guide To Creating Basic Logos With Free Software and The Full Python Bootcamp 2021: From Scratch For Beginners

Coupons are limited.  So It may run out early

Free Udemy Course – 28 April 2021

Free Udemy Course
Free Udemy Course

2021 Python for Data Science & Machine Learning from A-Z

Learn Python for Data Science & Machine Learning from A-Z

In this practical, hands-on course you’ll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner.

Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job.

We’ll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib +

  • NumPy —  A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library.
  • Pandas — A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.

NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs as you’d find in Excel or Google Sheets. Blending practical work with solid theoretical training, we take you from the basics of Python Programming for Data Science to mastery.

This Machine Learning with Python course dives into the basics of machine learning using Python. You’ll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.

We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the Python programming language, this course is for you!

Python coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding Python coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.

Together we’re going to give you the foundational education that you need to know not just on how to write code in Python, analyze and visualize data and utilize machine learning algorithms but also how to get paid for your newly developed programming skills.

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25 Design Patterns in Java for Beginners

Curious how to solve common problems in your code? Want to learn more about design patterns to prepare yourself for a technical interview?

Then you came to the right place :).

The objective of this course is to introduce you with all the design patterns that can be implemented in Java.

In this course, you will learn everything about design patterns from each of the three main categories: creational, structural and behavioural.

The main target of this course are beginners which are making their first steps in learning Java programming language. The course is also targetting more advanced students which need to brush up their knowledge on the topic of design patterns.

What is a Design Pattern?

A design pattern is a reusable solution that can be applied to common programming scenarios. As a developer, you will encounter design patterns everywhere. The Java API alone solves most of its programming challenges with different design patterns.

The term has been introduced in the book called Design Patterns: Elements of Reusable Object-Oriented Software, a book published by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, a group of computer scientists known as the Gang of Four.
I hope you will find this course useful and you will use the knowledge gathered from this course in solving design issues in your code.

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Beginner’s Guide To Creating Basic Logos With Free Software

Do you want to create a basic logo for your home/small business or do you just need some simple branding? Don’t want to spend money or time learning complex expense software? Looking for the simple answers to just get a basic logo? Discover how to create basic logos with Canva, Ucraft, Vectr, Design Evo, & Free logo design. This course is designed for complete beginners and will cover only the information that you need to start making basic logos. This Is A Basic Logo Design For Beginners Using Free Software Course. We will cover only the very basics of logo design and mainly focus on the actual creation of a simple logo. This Course Is Taught In English.

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The Full Python Bootcamp 2021: From Scratch For Beginners

This is the most common way for learning new things. If you have any problem,you can ask us questions, be sure that we will get back to you between 5-8 hours.

Python is one of the hot AI technologies and is widely gaining acceptance across mobile and web. In our course, you get a complete resource that can get you started on application development for Python . In our course, you work on actual examples and go through important concepts required for thorough knowledge.

This Course has 1080p HD quality lectures making it one of the largest online courses ever on the topic of covering all the necessary elements of Python. This Course builds concepts in a harmonious and easy to understand way specific to anyone who is interested in web development. The sheer volume of examples and challenge (more than 200 of them) will make sure you truly learn everything presented in the course. This course is not only about learning, but also about getting ready for working environment.

THIS IS WHAT WE WILL LEARN:

  • What is code? And Why we need code?
  • What is the Benefit of Using Python?
  • Developer Road map
  • How to learn correctly?
  • Code blocks
  • Code lines
  • Variables Data Types
  • Python Operators – Relational and Logical Operators
  • Python Conditionals and If Statement
  • Python Data Structures – List, Set, Dictionary and Tuples
  • Python Loops – For Loop, While Loop in Python, Break and Continue Keywords
  • Methods in Python- Parameters, Arguments, and Return Statement
  • Object-Oriented Programming with Python – Class, Object
  • Basics of OOPS for beginners – Encapsulation, Inheritance and Abstract Class.
  • Basics about Python Data Types
  • Basics about Python Built-in Modules
  • Introduction to Python Exception Handling
  • Introduction to Python Variable Arguments

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