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[100% OFF] Home Business Basic Sales & Marketing Tools

Learn About Some Of The Basic Sales & Marketing Tools For A Home Business

[100% OFF] Python Game Development™: Build 5 Professional Games Free

Have you ever wanted to build a game with a graphi... Morecal interface but didn't know how to? Maybe you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course, we will be learning Python GUI Programming + Turtle + other advanced python modules to build graphical user interfaces (GUI) and games from scratch. Game projects covered: 1. Solitaire 2. Space Shooter 3. Chain Reaction 4. Pac-man 5. Car Racing 6. Snake and many more. Basic Python course Highlights: Installing Python Running Python Code Strings Lists Dictionaries Tuples Sets Number Data Types Print Formatting Functions Scope args/ kwargs Built-in Functions Debugging and Error Handling Modules External Modules Object-Oriented Programming Inheritance Polymorphism Encapsulation Advanced Methods Iterators Closures and much more! Less
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[100% OFF] HTML, CSS and JavaScript: The Complete Web Developer Course Free

Do you need to master the art of front-end develop... Morement? Look no further. This course is your complete beginners guide to developing cutting-edge web pages that are fully mobile responsive. The course branches into three sections. 1. Explore HTML5 Learn the composition of a web page and how a web browser interprets html code to display the visual elements of a page. Learn the core fundamental aspects of HTML syntax, to ensure you are well prepared for the remaining sections ahead. 2. Explore CSS3 Learn to add stunning design elements to really make web pages visually aesthetic. Learn a broad range of CSS attributes to make web pages completely mobile responsive, even on the trickiest of devices such as phones and tablets. 3. Explore JavaScript Dive into adding interactive client-side functionality using JavaScript. JavaScript is an extremely powerful front-end programming language that can really help take web pages to another level. Learn how to add client-side validation to forms, animate images and objects, and manipulate both HTML and CSS. Who this course is for: Anyone who needs to learn to code Anyone who needs to build a website Less
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[100% OFF] Partnership Accounting Free

Partnership accounting will cover accounting topic... Mores related to a partnership form of business entity. This partnership course will focus on the accounting issues that are different in a partnership as compared to other types of entities like a sole proprietorship or corporations. As we focus on the differences, we always want to keep in mind the similarities in accounting for different business entities. Most of what we have learned about the double entry accounting system and day to day accounting transactions in prior courses will remain the same. We are concentrating on the areas that will different because the differences are where the new information lies. We will start by defining what a partnership is and comparing the characteristics of a partnership with other business entities. Understanding one business entity and its components are often best learned by contrasting them with the attributes of others, always considering the relative pros and cons, thinking of situations and circumstances that would benefit one form of business entity over another. The course will discuss the process for setting up a new partnership, typically starting with the partners contributing capital to the partnership, requiring us to record the contribution and the capital accounts. We will discuss the allocation of net income to the partners, one of the primary differences between a partnership type of entity and other types of entities. There is a lot of flexibility for net income allocation in a partnership, and this is one of its primary benefits. The course will cover the recording of partnership draws, how to record them, as well as the closing process for a partnership. The steps of the closing process will be much the same as those for any business entity except for the allocation of net income to the partners. We will consider the situation where a partner leaves a partnership or where a new partner is added. The transactions related to a partner leaving or being added is unique to a partnership entity. The course will cover a partnership liquidation process or closing process. The liquidation process is a very useful exercise for any entity because it allows us to do take apart a business. We have discussed the process of putting new busses together in prior courses, but to fully understand how something works we must also take it apart. The liquidation process is particularly important for a partnership entity because it emphasizes the capital accounts and the process necessary to reduce the likelihood of problems during the process. We also include a comprehensive problem designed to take a step back and consider all the similarities between business entities so that we can put the differences we have studied in this course into perspective. The comprehensive problem will cover the entire accounting cycle from entering journal entries and posting to the general ledger, to recording adjusting entries and creating the financial statements, to the closing process. The course also includes definition and key accounting terms related to partnerships. In addition to the instructional videos, this course will include downloadable • Downloadable PDF Files • Excel Practice Files • Multiple Choice Practice Questions • Short Calculation Practice Questions • Discussion Questions The PDF files allow us to download reference information we can use offline and as a guide to help us work through the material. Excel practice files will be preformatted so that we can focus on the adjusting process and learning some of the basics of Excel, like addition, subtraction, and cell relationships. Multiple choice example question helps us improve our test-taking skills by reducing the information into the size and format of multiple choice questions and discussing how to approach these questions. Short calculation questions help us reduce problems that have some calculation down to a short format that could be used in multiple choice questions. Discussion Question will provide an opportunity to discuss these topics with the instructor and other students, a process many students find very helpful because it allows us to see the topic from different viewpoints. Who will we be learning from? You will be learning from somebody who has technical experience in accounting concepts and in accounting software like QuickBooks, as well as experience teaching and putting together curriculum. You will be learning from somebody who is a: • CPA – Certified Public Accountant • CGMA – Chartered Global Management Accountant • Master of Science in Taxation • CPS – Certifies Post-Secondary Instructor • Curriculum Development Export As a practicing CPA the instructor has worked with many technical accounting issues and helped work through them and discuss them with clients of all levels. As a CPS and professor, the instructor has taught many accounting classes and worked with many students in the fields of accounting, business, and business applications. The instructor also has a lot of experience designing courses and learning how students learn best and how to help students achieve their objectives. Experience designing technical courses has also benefit in being able to design a course in a logical fashion and deal with problems related to technical topics and the use of software like QuickBooks Pro. Content Includes: • Process for setting up a partnership • The allocation of net income to partners • The recording of partner withdrawals • Recording the partnership closing process • Journal entries related to a partner leaving the partnership • Journal entries related to adding a new partner to the partnership • The liquidation process for a partnership • A comprehensive problem on the accounting cycle • Key terms definitions and explanations related to partnerships Who this course is for: Accounting students Business owner Anyone who whats to learn accounting Less
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[100% OFF] Decision Trees, Random Forests, AdaBoost & XGBoost in Python Free

You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right? You've found the right Decision Trees and tree based advanced techniques course! After completing this course you will be able to: Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning. Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result. Confidently practice, discuss and understand Machine Learning concepts How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through Decision tree. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Linear Regression: Section 1 - Introduction to Machine Learning In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. Section 2 - Python basic This section gets you started with Python. This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn. Section 3 - Pre-processing and Simple Decision trees In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree. Section 4 - Simple Classification Tree This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python Section 5, 6 and 7 - Ensemble technique In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost. By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use Python for data Machine Learning? Understanding Python is one of the valuable skills needed for a career in Machine Learning. Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time Less
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[100% OFF] Network Ethical Hacking (Kali Linux 2020 - Hands-on) Free

Welcome to the Network Ethical Hacking course! Ha... Morecking is a science similar to any other science. In this course I am going to show you the basics of hacking which will support you to start by yourself to develop your hacking skills to an advanced level. This course considers you have No prior knowledge in hacking or in Linux operating system, & by the end of it you'll be able to hack systems like great hackers and keep yourself secured like security experts! This course is practical but it will not ignore the theory. We will start with Kali Linux basics, then will try to make you comfortable with Linux environment. Then we will learn how to install the needed software (VirtualBox, Kali Linux, Windows 10) as virtual machines then we will start the hacking adventure. The course is divided into 5 sections, (Introduction, Pre-Attack Phase, Attack Phase, Post-Attack Phase, and How to Keep Yourself Protected). In Summary, in this course YOU Will LEARN THE FOLLOWING: - How to prepare the penetration testing lab. - How to get comfortable with Kali Linux by getting the important required commands. - How to use Linux commands & how to interact with the command terminal. - How to change your system MAC address (Spoof) to stay anonymous. - How to attack any close wireless network and get all details about it (including target network MAC address, SSID, Encryption Type, ...etc). - How to get the MAC addresses for all clients connected to the target network without even knowing the password of the target router. - How to Perform (word list) Attacks to get passwords. - How to perform fake-authentication attack to target router without even knowing the password of the target network. - How to perform De-Authentication attacks without even knowing the password of the target network. - How to perform ARP attack without even knowing the password of the target network. - How to hack wireless networks to step by step. - How to get Wi-Fi passwords for WEP , WPA and WPA2. - How to Sniff Data from the network you hacked. - How to perform ARP spoofing attack to be the man in the middle MITM to intercept user names and passwords. - How to know who is connected to the network you hacked. - How to scan network for more details about connected devices. - How to intercept network traffic. - How to use many tools, tricks and techniques to hack networks. -How to generate your own viruses. - How to hide your virus in any other file extension (jpg, pdf, docx, xlsx..) - How to gain access to remote computers. - How to hack Mic, Camera, and Keyboard keys (Key Logger).. - Many other cool stuff about network hacking. - How to keep yourself protected from the above mentioned attacks. *** You will get 3.5 hours of hacking and hacking techniques *** *** You will start from 0 to reach a good level of understanding and practical use of Linux and hacking tools *** Notes: This course is created for educational purposes only, all the attacks are launched in my own lab or against systems that I have permission to test. This course is totally a product of Mohammad Hamza Sheikh and no other organization is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Udemy, apart from that NO OTHER ORGANIZATION IS INVOLVED. Kind Regards Hamza Less
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[100% OFF] The Complete 2020 PHP Full Stack Web Developer Bootcamp Free

Do you want to be a Certified Web Developer? or... More Are you are a student and want to get a Job as Web Developer? or Do you want be Freelancer to earn an extra part time income? or You want to improve your Web Development Skills at Work? If these are your goals then this course is exactly made for you to Become PHP Full Stack Web Developer! 48+ hours of course content with Exercises, Quiz, Assignments and Projects. If you give your valuable time to this course and I will promise to help you achieve your goal. RIGHT AFTER THIS COURSE, YOU WILL BE: Able to Build websites. Get a job as a junior web developer. Start your own online business with WordPress. Become Freelancer Web developer on Fiverr or UpWork. Be proficient with databases and server-side languages with PHP and MySQL. Become a front-end and Back-end developer - Complete Full Stack Developer. In less than 30 days, you'll be ready for an entry-level job as a Full Stack Web Developer. This course will give you the following Skills: Front End Web Development: HTML. CSS. JAVASCRIPT. BOOTSTRAP. Back End Web Development: PHP. MYSQL. WORDPRESS. PHP OOP. BASICS: WEB BASICS. INTRODUCTION TO XML. COMPLETE UNDERSTANDING OF JSON. INTRODUCTION TO REST AND API. SOFT SKILLS: INTERVIEW QUESTIONS. PHP RESUME. STUDENT MENTORSHIP. PROJECTS: PHPKart - Complete Shopping Cart Website using HTML, CSS, JAVASCRIPT, PHP and MySQL. LearnWP.xyz - Blogging Website with WordPress. (Buy Domain, Web Hosting, Installing Themes and etc...) CERTIFICATION PROVIDED: Get your PHP Full Stack Developer Certification. VALUABLE RESOURCES: You will become PHP Full Stack Web Developer: 48+ hours of course. - Worth $199 You will be Certified PHP Full Stack Web Developer - Worth $399 Complete Source Code and Projects: PHPKart & LearnWP.xyz - Worth $299 Student Mentorship via Private Facebook Group. - Worth $219 PHP Projects Downloads. - Worth $129 Resume and Interview Questions. - Worth $79 Lifetime Documentation Site Access - Worth $29.90 30 Days Money Back Policy. Total Worth: $1353 FEEDBACK FROM STUDENTS: -> Amazing, above expectations! - Adeel Nazim -> I think , someone who wants to learn php , should start with this course.Great content , so much valuable info in this course , thank you!! - Andreas -> good course with lot of examples. this is the best course in PHP - Murali Krishna Nistala -> This course is very good introduction to PHP. Many examples and every lection has a test and a quiz. - Milan Švarc -> Very easy to understand, lots of examples. Repeats important points in different ways making difficult concepts easier to grasp. - Laura Long -> A well organized course, explained each and every concept in very easy way, now feeling confident while using PHP oop.- Wasim Tamboli -> This course is a easy to learn. and your teaching way is awesome. - Bharat Kumar -> He is explaining the concepts crystal clear . Very thankfull to the teacher - Ponmurali Jeyaprakasam -> Very easy to understand and the best part is there are too many assignments for working which makes u perfect - Gokul Singh Do not miss the Premium Contents with this course: 48+ hours of Full Stack Web Development Course. One Course Covers - 12 Courses: HTML, CSS, JAVASCRIPT, BOOTSTRAP, PHP, MYSQL, PHP OOP, WORDPRESS, XML, API, JSON and REST. 6 Web Development Books for FREE. (1200+ pages long) - Selling for $20 on Amazon Lifetime FREE Access to Premium Bootcamp Documentation Website. - Sold monthly membership PHPKart and LearnWP Website Source Code. - Sold my source code for each $299 Interview Questions (1000+ questions) - Selling for $20 on Amazon 30 days Money Back Guarantee (0% Risk) 100% FREE for Lifetime Access. IF YOU ARE REALLY SERIOUS TO LEARN WEB DEVELOPMENT AND LOOKING FOR THE RIGHT COURSE... THEN THIS IS THE BEST COURSE THAT CAN HELP YOU ACHIEVE YOUR GOAL.. BELIEVE ME, YOU ARE JUST ONE COURSE AWAY FROM BECOMING BRILLIANT WEB DEVELOPER.... Who this course is for: Anyone who wants to learn to code Anyone who wants to generate new income streams Anyone who wants to build websites Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Less
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[100% OFF] The Art of Doing: Master Networks and Network Scanning

Go from entering "nmap 192.168.1.0/24" t... Moreo UNDERSTANDING the command Less
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132 used, 66% success rate

[100% OFF] SVM for Beginners: Support Vector Machines in R Studio Free

You're looking for a complete Support Vector Machi... Morenes course that teaches you everything you need to create a SVM model in R, right? You've found the right Support Vector Machines techniques course! How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through SVM. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master SVM technique from Beginner to Advanced in short span of time Less
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30 used

[100% OFF] Projects in R: Learn R Creating Data Science Projects Free

R Programming Language is not an easy language to ... Morelearn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that you can do with R is just not enough – you require a complete breakdown of how to go about doing it. This is why we have designed this comprehensive project-based course! In this course, we attempt to break down this complex programming language and environment into an easy to follow structured tutorial that will help you not only understand this statistical language, but also become more familiar with how you can go about using it. R is a programming language and environment for statistical computing and graphics. It allows developers to work with a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc. Our course will help you go through a step by process of understanding how R can help you become a more efficient data miner, analyst and statistician. However, it won’t just list or show you how to do that. The instructor will lead you through real world projects that will show you exactly how you can do them, while urging you to follow all the projects along with the instructor. This project based course a great way for you to understand the fundamentals using a hands-on approach. No more confusing resources or boring theories, but rather you would actually get a hands on with the R Programming Language and environment. In this course, you would learn the fundamentals of R programming language, including the basic concepts such as lists, functions, arrays, vectors, matrices, strings, etc. There are five major aspects that you will learn in this course. 1. Practical approach to the R Programming – If you already have some background in R programming, or even have the knowledge, then this will help you gain a practical approach to R programming. 2. Learn Different Forms of Data Visualization – Visualizations of data has become a popular trend, as it makes the data more prominent and easier to understand. These include different types of visualizations such as bar graph, charts, heat map, etc. 3. Learn efficient ways to visualize data – Data should be efficient, especially if you are working with partial data. If the data is not efficient, the analysis would not be faulty and can be misunderstood. 4. Learn ways to manipulate data – Data isn’t always constant and it is often used to analyze past data and make future predictions. For this data is required to be manipulated to create predictions for multiple scenarios. 5. Learn to generate reports using R – Now we come to the most important stage of data mining and analysis. Here you will learn to generate effective reports that will help you put out a clean set of data analysis for consumption. Less
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[100% OFF] Data Science: Supervised Machine Learning Bootcamp in Python Free

This course focuses on one of the main branches of... More Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language. The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning. Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally. During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more. Let's get started! Who this course is for: Those who are interested in AI and Machine Learning Those who have basic knowledge of any programming language Those who want to be create awesome Machine Learning and AI modules And those who want to earn some handsome amount of money from Machine Learning Field in Future Less
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Free one month wordpress hosting

WordPress Hosting Free for one month
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[100% OFF] Python and Flask Full-Stack Web Development for beginners Free

A full stack developer is a web developer or engin... Moreeer who can develop both the front end and back end of a website or application. They can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects. Full stack web developers usually have some of the following front end and back end skill sets. Front End Skills ( This is used to build the client software or application) HTML CSS Bootstrap JavaScript JSON XML JQuery Angular React Back End Skills ( This is used to build the server software or application) Nodejs Expressjs REST SQL MongoDB Python Java C# ASP PHP RUBY C++ Python is a programming language. Python can be used on a server to create web applications. Flask is a Python framework for building lightweight and dynamic web applications. It helps speed up tedious behind-the-scenes development work, such as URL mapping, and offers more control to the developer to build applications Being a full-stack web developer equips you with the skill set to develop web based projects. You can prototype quickly and switch between front and back end development based on requirements. Projects we will create: Calculator Countdown timer Interactive Quiz Todo List Application URL Shortner Application Basic API Who this course is for: Beginners to Web Development Beginners to Python Beginners to Flask Less
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[100% OFF] Flutter and Firebase Part 1 (Real-Time Database) free

This class covers Flutter and Firebase Real-time D... Moreatabase in more details. The class focuses on CRUD (Create, Read, Update and Delete) of Firebase Real-time Database. Students will learn how to integrate Firebase into flutter applications. Students will also learn how to create, read, update and delete from real-time database in more details. Aside Firebase and database, students will also learn how to design interfaces in flutter, including how to use pop-ups and dialog box in flutter. Students taking this class should have basic knowledge in programming. Basic knowledge and experience in flutter and/or dart is preferred but not a requirement. Less
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[100% OFF] Deep Learning Course with Flutter & Python - Build 6 AI Apps Free

Join the most comprehensive Flutter & Deep Lea... Morerning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications! Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN's, CNN's, & Natural Language Processing. In this course, we will build 6 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning Flutter applications! After completing this course you will be able to: Learn the tools and skills to develop any AI idea you have onto a mobile phone. Have a clear understanding of different types of Neural Networks and how you can use them to your advantage. Build any Neural Networks in Python and then export them into your Flutter application. Use different strategies to get neural networks with 90%+ accuracy. Why should you choose this course? This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches. It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications. Here's what's included in the course: Building a neural network on Teachable Machine and exporting it into Flutter project Building a neural network in Keras/Python on Google Collab/Jupyter Notebook and exporting it into Flutter project Using API's to perform some Natural Language Processing and implementing those algorithms into our app. Build a GAN in python and implement it into your flutter application. And much more! This course is for you if ... You're interested in building real native mobile apps for the two most popular mobile platforms - iOS and Android You're passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge. You want to expand your Deep Learning/AI portfolio with 6 Cutting Edge Deep Learning apps! Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device! Course prerequisites: Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what Flutter is) Know some theory behind Neural Networks (Know how data is processed in a Neural Network) Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send us a direct message. Less
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89 used, 100% success rate

[100% OFF] JavaScript, Bootstrap, & PHP - Certification for Beginners

A Comprehensive Guide for Beginners interested in ... Morelearning JavaScript, Bootstrap, & PHP Less
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[100% OFF] Learn C# and make a videogame with Unity 2020 Free

Welcome to Learn C# and make a videogame with Unit... Morey 2020 : beginner to pro. If you are here, it is probably because you like video games and want to learn how to make your own video games. In addition, it is likely that you know how to draw pictures, design your own characters, your enemies, animations, scenarios, have thought out game mechanics, ... but you lack one thing: KNOW HOW TO PROGRAM! You don't have to be ashamed. I myself did not create my first video game until I was 23 years old and since then, I had been studying mathematics. No one is born taught and that is why we are here: so that you can learn to make your own video game in Unity with the C# (c sharp) programming language, a simple language that is easy to learn, and that will give you many possibilities to expand your knowledge. In this course, we will start with the basics and fundamentals: programming. Programming is like the language of computers. Right now you and I communicate in a common language: English, which we both understand perfectly and that is why we can be exchanging information: I write and you read. Probably if I were writing this to you in French or German, then you wouldn't even understand what I am telling you, not because it is easier or more difficult, but because I would be using a different language. Computers and mobile devices themselves have their own language, their jargon, their slang. That is where we will begin our learning path together, young Padawan: by learning what a program is, how it manages to communicate with the graphic part, and how we, by pressing an arrow or a button, can make the computer understand what we want to say . We are going to learn together basic programming aspects such as: • Variables and data types • Methods or code snippets • Object and object-oriented programming • Decision operators • Collections, arrays, and object lists • The iteration operators With all this, it will be like the cook who leaves the academy and has been taught to peel, cut, cook, boil, season, season ... food. But even if we know how to fry an egg, we all know that fried eggs made by us, by our mothers, or by our grandmothers do not taste the same. Therefore, once we know the tools and basic principles of programming, we will put them into practice with a real project, our first 2D video game: a 2D platform where the objective will be to dodge enemies while collecting the maximum number of coins. It will be a simple video game but we will see its true potential in everything that can really be done from what we know: • We will learn how to plan the Game Design and to split up the development stages of our video game • We will learn what a prefab is and how they are used to create scenes for a video game • We will create our own menus and the game information HUD • We will learn typical mechanics and gameplay such as infinite scrolling or the physics of a video game And really with all this, believe it or not, you will have made your first video game !!! I would also like you to introduce yourself when you start, say where you come from and what knowledge of video game development you have, and share in the course's forum what type of video game you would like to make. Please refrain from impossibilities like "I want to make a Dark Souls, a Witcher, a Metal Gear" and so on. These games have studies of more than 400 expert developers and we are looking to get started. The goal is for you to make your first video game, and as such, it should be an achievable and easy goal to carry out so you don't get discouraged. Well, I've already warmed up and I'm looking forward to learning C # together and starting to create our videogame in Unity. So don't think twice and sign up now to start your career as a video game developer with Unity 2020 and C #. Less
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[100% OFF] Mastering Excel - Essential Training for all Free

This course intends to help you in your understand... Moreing of using Microsoft Excel. After taking the course you will be confident to us the tool in your everyday life. The knowledge of Excel improves efficiency in the workplace you can gain mastery over crucial Microsoft Excel tools and functions that will enhance efficiency and accelerate performance. You will learn all about formulas and functions in Microsoft Excel. You will learn how to manipulate both numbers and text. You will be able to create charts so you can share the information graphically to your clients and colleagues. Who this course is for: Anyone who wants to move ahead in life Less
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[100% OFF] Learn Creational Design Patterns in Java Free

Design patterns provide a template for writing qua... Morelity code. Knowing which design pattern to use in which scenario can be challenging but will make you a master Java programmer. In this course you will take a deep dive into creational patterns, which can help you create more flexible, reusable objects. I will be covering the six most popular creational patterns— Builder, Telescoping Constructor, Singleton, Prototype, Factory and Abstract Factory as well as concepts such as multithreading, mutability, inheritance and Java Heap and Stack workings. I will provide example use cases, complete with implementation instructions and tips for avoiding the unique challenges posed by each pattern also explain how do design patterns work inside Java Heap and Stack Memory. By the end of this course, you'll be equipped with the knowledge and skills necessary to implement each design patterns in your Java projects. Learning Objectives: What are creational design patterns? How to avoid complex constructors? Implementing the Builder pattern Implementing the Telescoping pattern Understanding similarity between Builder and Telescoping pattern Best interview answers for Singleton pattern Questions. Also get a practical idea about the advance concepts such as serialization, cloning, multi-threading and reflection Problem and Solution of Multi-threading with the Singleton pattern Implementing the Prototype pattern Best interview answers for Prototype pattern Questions. Implementing simple Factory pattern Implementing Abstract Factory pattern Who this course is for: Java Developer Java Developer curious about design patterns Java Architect Nail your Java Interviews Web Application Developers Industrial experts API Developers Tech Architects Less
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