The Full Stack Developer Training

Subsidize Training Fee Is 100,000 Naira Only For Nigerians, Click To Register For The Training immediately

 "The Full Stack Developer Training" Do you want to become a full stack developer, do you want to learn everything you need to know to become a full stack developer. Are you searching for the full stack developer training, full stack developer course or the full stack developer training course. If yes, indigenous I t solution training institute (Online Training Ng) has brought an intensive training for people who want to learn and become a full stack developer online at the comfort of their home or office. This professional training cover Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer. When I first started out in software development, I didn’t know what I didn’t know. I thought all I had to do was to grow my knowledge and experience in the programming languages I was using to be the best coder I can be. Throughout my career, I have learned that what we do as software developers isn’t write code, but rather develop software to solve people’s problems. I think this is what differentiates what I have termed the modern, full stack team from a traditional programming team, and our role within that as developers. A week in the life of a full stack development team might not see you use every skill and technique mentioned in this training, but it’s likely that you’ll have some level of contact with it all. Your week may start with a planning meeting, which is the foundation of the development work you do. Starting with a proper understanding of the task at hand, and the process for discovering that, will make you a stronger developer in terms of devising solutions. Similarly, taking a moment to think through high-level solutions at a design stage rather than ploughing straight into code can minimize wasted work that started in the wrong direction. Being able to communicate these with your team and wider organization helps the development team become an important and equal part of the rest of the business - another hallmark of a digital organization, not just a team that performs rote tasks. As you build a system, you will find different skills and approaches are needed for different parts of it. These can be thought of as layers, from the data storage needs of  your application; to the APIs that allow you to access and manipulate that data and communicate between systems; to the front end, where your system interacts with your users. Each level of this stack uses different technologies, but familiarity with each is what gives you flexibility and effectiveness as a full stack developer. You need not be an expert in all of them, and knowing your limitations and how to research to find more answers is another core skill you will need. If there is one technology that it is worth focusing on, it’s JavaScript, and the whistlestop tour of the language given in lesson 8 should give you the basics to know what’s out there, and the concepts of applying JavaScript at different levels of the stack that will allow you to research further. Lesson 12 covered another important part of a modern software system, and that is security. Despite security being a very deep and nuanced topic, there are a number of high-level rules and basics that you can apply to prevent the most dangerous and most common mistakes. Security is best applied in depth, and building it into your system as you go along, rather than adding it later, is the best way to achieve this. It’s important to always remember the humans in your system, as those are the people who will ultimately use it, and whose lives it will influence. This means not only the user experience design, but the front-end implementation of your system, and 

making that implementation work for the range of humans that exist using accessibility techniques. At the end of the build process is the other key differentiator between a full stack team in a digital organization and a traditional one: DevOps. DevOps is a culture of developers taking responsibility for their products and services as they run and users interact with them, and again broadens the skill set needed to be a full stack developer. Again, knowing the fundamentals is often enough of a starting point to be able to be effective. However, running your service is more than just a technical endeavor, and you should be able to measure how well your application performs at solving the original problem it set out to solve, and that continual learning process should feed back into your development process. A running theme throughout this training has been one of the most important traits of successful people: empathy. Empathy for your users, empathy for your colleagues, and also empathy for the past. I have given details of the history of why the Web has grown into what it is today, and as imperfect as it is, it is the Web we will have to live with. We must also have empathy for society, and this is best expressed through behaving in an ethical manner. Ethics is not easy, but is one of the most important challenges facing the software development discipline as it grows and plays an increasing role in society. We should strive to make the world a better place, and leave a positive mark on it. It’s never wrong to stop and ask yourself if you’re doing the right thing. Remember that, as a full stack developer, you are uniquely poised to solve whole problems, not just parts of them, and you can only do that if you have the big picture. This training covers a broad set of skills, and you must continue to grow by applying them in practice, and then continue to develop your individual skills as you gain professional experience. So go on. Be brave, ask questions, set a good example, and become a great full stack developer. I hope I’ve given you a strong foundation to start from.

OUR TRAINING COURSE CONTENT AT A GLANCE

The Modern Web

• Rise of the Web
• Mobile Web
• The State of HTML
• Applications vs. Web Sites
• Keeping Up
• Summary

Planning Your Work

• Identifying Requirements
• Defining the Work
• Tracking the Work
• Scrum
• Kanban
• Continuous Improvement
• Prioritization & Estimation
• Managing Bugs
• Continuous Delivery
• Summary

User Experience

• Information Architecture
• Getting the User Experience Right
• Polishing the User Experience
• Implementing the User Experience.
• Summary

Designing Systems

• System Architectures
• Identifying Concepts
• Identifying User Interactions
• Handling Commonalities
• Working with Legacy and External Dependencies.
• Component Interactions
• Applications vs. Modules
• Cross-Functional Requirements
• Caching
• Designing for Failure
• Designing Modules
• Refactoring
• Tools
• Changing Your Architecture
• Summary 

Ethics

• Privacy
• Cognitive Load
• Energy Usage
• Trust
• Summary

Front End

• HTML
• From Server to Browser
• Styling
• Components
• Responsive Design
• Progressive Enhancement
• To Progressively Enhance, or Not?
• Mobile First
• Feature Detection
• Progressive Enhancement of Styles
• When Not Using Progressive Enhancement.
• Search Engine Optimization
• Build Tools
• Summary 

Testing

• Test-Driven Development
• Test Pyramid
• Behavior-Driven Development
• Three Amigos
• Manual Testing
• Visual Testing
• Cross-Functional Testing
• Summary 

JavaScript

• Asynchronicity
• JavaScript in the Browser
• Offline-First Development
• Document Object Model
• Server-Side JavaScript
• JavaScript Modules
• Structuring Your JavaScript
• JavaScript Types
• Object-Oriented Programming
• Functional Programming
• Communicating Between Components
• Connecting Components Together
• Testing.
• Build Tools
• Summary

Accessibility

• Accessible from the Start
• Working with Assistive Technologies
• Dealing with Interactive UI
• Testing for Accessibility
• Avoiding Common Mistakes
• Hover and Focus Styling 
• outline
• The Order of Headings 
• Multiple h1s 
• Skip Links 
• Buttons vs. Anchors 
• The Correct Use of an alt Attribute
• Icon Fonts
• Color Contrast
• Summary 

APIs

• API Responsibilities
• Designing a REST API
• Securing Your API
• Event-Based APIs
• Discovering APIs
• Using APIs
• Summary 

Storing Data

• Types of Databases
• To SQL, or NoSQL?
• Where to Store Your Data
• Accessing Data from Your App
• Managing Your Data
• Protecting Your Data
• Summary 

Security

• Trust and Secrets
• Responding to Incidents
• The Golden Rule
• Threats
• Security Checklists
• Injection
• Broken Authentication and Session Management.
• Cross-Site Scripting (XSS)
• Insecure Direct Object References
• Security Misconfiguration
• Sensitive Data Exposure
• Missing Function Level Access Control.
• Cross-Site Request Forgery (CSRF)
• Using Known Vulnerable Components
• Unvalidated Redirects and Forwards
• Passwords
• Indirect Attacks
• Summary

Deployment

• Twelve Factor Apps
• One Codebase Tracked in Version Control, with Many Deploys.
• Explicitly Declare and Isolate Dependencies.
• Store Configuration in the Environment.
• Treat Backing Services as Attached Resources.
• Build, Release, Run
• Execute the App as One (or More) Stateless Processes
• Export Services by Port Binding
• Scale Out via the Process Model
• Maximize Robustness with Fast Startup and Graceful Shutdown
• Keep Development, Staging, and Production as Close as Possible
• Treat Logs as Event Streams.
• Run Admin and Management Tasks as One-Off Processes.
• Developer Machines
• Production Environments
• Moving Code into Production
• Configuring Your Box
• Infrastructure
• Immutable Infrastructure
• Continuous Delivery & Continuous Deployment.
• Summary 

In Production

• Fire Drills
• Run Books
• Monitoring
• Responding to Incidents
• Summary

Constant Learning

• Collecting Analytics
• Experiments
• Analyzing Results
• Hypothesis-Driven Development
• Summary

And many others, you will learn many things in this powerful training which I can't mention here.

NOTE -: Our training materials is well details, come with pictures and illustrations that even a dummies can understand it. The training materials is an electronic version which you can read on your Android phone, iPhone, iPad and computer system. We are still going to train you one on one live online through WhatsApp and others, we are going to train you with practical training videos, audio, pictures and text. We will train you till you become a professional in full stack development. Our step by step the full stack developer training materials and step by step practical training videos is enough to make you a professional in full stack development field.

This professional training cost more than 900,000 naira but we are going to just give it out for just 270usd only. The training fee is just 270usd. The training fee cover your step by step full stack developer training materials, step by step practical training videos, certificate and training. To register for the training, you can Register Here or Whatsapp, call or message us on 2349077269910 - 2347068895656. You can also email us at indigenousi.tsolution1@gmail.com to register. Your certificate will also be sent to you after completion of the training program. Register today and learn the complete A to Z guide of full stack development.

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Software Development Training

Subsidize Training Fee Is 100,000 Naira Only For Nigerians, Click To Register For The Training immediately

Software Development Training" Do you want to learn software development, do you want to learn the A to Z guide of software development. Are you searching for software development training, software development course or software development training from A to Z. If yes, indigenous i.t solution training institute (Online Training Ng) has brought an intensive training for people who want to learn software development online at the comfort of their home or office. This is a professional training that cover software development from A to Z, is a training that Deep Dive into all the Roles Involved in the Creation of Software. This powerful training program will educate you on how to turn that your ideas into a multi billion internet company and how to start your own software development company, including how to organize your team.. Multi billion Internet company like Facebook, Instagram, YouTube and many others are just examples of software program that was just hang on the web with domain. This professional training will teach you everything you need to know about software development, how to turn that your ideas into a software program and hang it on the internet, frontend and backend programming and many others. First, I would like us to stay on the same page not only of this training but also of the concepts and notions. Let’s define the word idea and establish the notion of the idea we are going to talk about in this training. The easiest way is to Google it, right For the matter of this training I will use the first definition as the base. Idea is a thought or a suggestion that leads to a course of actions. The synonyms that appear under the definition can totally be used as keywords to describe this training. Prepare to run into a lot of these words: plan, design, project, goal. I also like the etymology—“from the base of idein ‘to see’”. Everything that comes as an idea is a mental visualization of something. This something can be totally new or it can derive from existing things. The general law of humans is that everything that we can see we can build, so each and every visualization or imagination we have can actually be transformed into some product. Thus, in this training we are going to talk about ideas that lead to carefully planned actions where the goal is to transform the idea into a product. Now, let’s define product in the context of this training. Again, my friend Google defines product as a result of an action or a process. All these words are equally and extremely important in that context. Result, action, process. Without an action, your idea will remain just an idea forever. Without a clearly defined process of the implementation, you will never reach your goal. And of course, you expect results! You define the expected outcome of your idea and you establish a process to reach it. A product is the outcome or result of a course of actions defined as necessary to implement the idea. There are a lot of different types and categories of products. They can be business, consumer, or both; consumer products, in their turn, can be divided into four groups of shopping, convenience, specialty, and unsought products. The aim of this training is far from giving you insights into business and marketing. Therefore, I would like to categorize products into two types

• Physical products: stapler, notebook, pen, cars, toys, etc.
• Digital products: software programs, movies, e-books, etc. 

As I already pointed out, we are not going to talk about all types of products in this training. The aim of this training is to show how software is created; therefore we are going to talk about a very particular subset of the digital products category: software products. Therefore, the ideas that we are going to talk about are those that lead to the creation of software.

OUR TRAINING COURSE CONTENT AT A GLANCE

I Have An Idea!

• Introduction
• Software Products and Ideas Behind Them.
• Different Models
• Research and Development
• Knowledge Sharing Platform
• Minimum Viable Product
• Summary

Roles, Responsibilities, and Methodologies.

• Roles and Responsibilities
• Business Owner
• Product Manager
• Designers
• Backend
• Frontend
• Quality Assurance (QA)
• DevOps (development + operations)
• It’s Normal to be Confused About Roles!.
• Methodologies
• Scrum
• Kanban
• Ok, But What Should I Use?
• Our Team and Process
• Summary

Requirements, Commitment, and Deadlines.

• Product Manager
• Interview With Product Manager
• How People Become Product Managers and What They Deal With
• Differences Between Product Owner and Product Manager.
• Involvement on the Path From Idea to Product.
• Managing Products of Different Business Areas.
• The Biggest Screw-Up
• The Biggest Success
• Preparation
• Requirements and Roadmap
• Kick-Off
• Commitment and Deadline
• Requirements for Our MVP
• Summary

User-Centered Design

• Design Journey—Its Start and End
• Personas and User Stories
• Types of Design
• User Interface and User Experience
• Design Process—How Designers Run It
• Designing Our Online Education Platform.
• Initial Brainstorming
• Wireframes.
• Usability Testing
• Visual Design
• Interview With a Product Designer
• Summary

Backend Development

• About the Stack
• Defining Backend Applications
• Bootstrapping the Project
• Build Automation Tool: Maven
• Database
• Pros
• Cons
• Authentication
• Development
• Database
• Persistence Layer
• Service Layer
• Service API
• REST API and Transformation Layer
• Implementing the Registration
• Testing
• Summary

Frontend Development

• Let’s Code!
• Where Does Frontend Start?
• Markup and DOM
• Document Object Model
• Headings
• Hyperlinks
• Images.
• Forms
• Inline and Block Elements
• Style
• Layout
• Design Systems
• Pre-Processors and Template Engines
• Dynamic Content
• Development Tools Console
• Variables
• Including JavaScript
• Functions
• Frameworks
• Contract Between Frontend and Backend.
• Creating the Frontend Application for Our Platform.
• IDEs
• Summary

Testing Our Product

• Different Types of Testing
• Unit Testing
• Integration Testing
• System Testing
• Acceptance Testing
• Regression Testing
• Who Is Testing What?
• Manual QA Tester
• Automation QA Tester
• From Manual to Automation Tester
• Tools, Platforms, and Frameworks.
• Testing Our Product.
• Manual Testing
• Unit Tests for the Frontend
• Summary

Let’s Go Live!

• How to Publish Your Software Project?
• When Do We Start Thinking About Deployment?.
• Where Do I Put My Code?
• Continuous Integration and Automated Tests.
• Continuous Delivery and Deployment.
• Who Does What and How?
• Interview With DevOps
• Monitoring and Alerting
• Analytics
• Hosting and Creating a CI/CD for Our Platform.
• Hosting
• Continuous Integration and Deployment.
• Summary

Maintaining and  Improving Your Software.

• Maintaining
• Backups
• Replication
• Natural Disasters and Cosmic Rays
• Improving
• Scaling
• Handling Feedback
• Bug Fixing
• Refactoring, Rewriting, and Technical Debt.
• Redesigning and Rebranding
• Summary

Wrapping Up With Some Tips and Tricks.

• Development Tips
• Choosing Programming Languages or Frameworks.
• Code Style Guidelines
• Code Reviews and Pair Programming
• Quality Assurance Tips
• DevOps Tips
• What About My Idea?
• Project and Product Management Tips.
• Time Management Tips
• Team Management Tips
• Trust
• Appreciate
• Invest in Education
• Be the Best to Hire the Best
• Reflect on Everything
• Create Your Thing
• Summary

And many others, you will learn many things in this powerful training which I can't mention here.

NOTE -: Our training materials is well details, come with pictures and illustrations that even a dummies can understand it. The training materials is an electronic version which you can read on your Android phone, iPhone, iPad and computer system. We are still going to train you one on one live online through WhatsApp and others, we are going to train you with practical training videos, audio, pictures and text. we will train you till you become a professional in software development. our step by step software development training materials and practical training videos is enough to make you a professional in software development field.

This professional training cost more than 900,000 naira but we are going to just give it out for just 270usd only. The training fee is just 270usd only. The training fee cover your step by step Software development training book package, step by step practical training videos, certificate and training. To register for the training, you can Register Here or Whatsapp, call or message us on 2349077269910 - 2347068895656. You can also email us at indigenousi.tsolution1@gmail.com to register. Your certificate will also be sent to you after completion of the training program. Register today and learn the complete A to Z guide of software development.

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Online Coding Course (Complete Coding Training)

Subsidize Training Fee Is 100,000 Naira Only For Nigerians, Click To Register For The Training immediately

"Online Coding Course (Complete Coding Training)" Do you want to learn coding, Are you searching for online coding course, online coding class, learn coding online or online programming course. Do you want to become a professional in coding. If yes, Indigenous i.t solution training institute (Online Training Ng) has brought an intensive course /training to learn coding online at the comfort of your home or office. This is a complete Professional 9 in 1 courses and training program that cover everything you need to know about coding and things you can't learn anywhere about coding. In this powerful training program, you will learn -:

• How To Get Started with Coding
• Career Building with Coding 
• Basic Web Coding
• Advanced Web Coding
• Creating Web Applications
• Selecting Data Analysis Tools
• Evaluating Data
• Essentials of Machine Learning
• Applying Machine Learning

And many more, this course/training program contain everything you need to know to kick-start your career in coding. The ability to read, write, and understand code has never been more important, useful, or lucrative than it is today. Computer code has forever changed our lives. Many people can’t even make it through the day without interacting with something built with code. Even so, for many people, the world of coding seems complex and inaccessible. Maybe you participated in a tech-related business meeting and did not fully understand the conversation. Perhaps you tried to build a web page for your family and friends, but ran into problems displaying pictures or aligning text. Maybe you’re even intimidated by the unrecognizable words about coding, words such as HTML, CSS, JavaScript, Python, or Ruby. If you’ve previously been in these situations, then our Coding course/training is for you. This course/training explains basic concepts so you can participate in technical conversations and ask the right questions, and it goes even further than Coding For Beginners by covering additional topics in data science, machine learning, and coding careers. Don’t worry — this course/training assumes you’re starting with little to no previous coding knowledge, and I haven’t tried to cram every possible coding concept into these courses. Additionally, I encourage you here to learn by doing and by actually creating your own programs. Instead of a website, imagine that you want to build a house. You could spend eight years studying to be an architect, or you could start today by learning a little bit about foundations and framing. This course/training kick-starts your coding journey today. The importance of coding is ever-increasing. As author and technologist Douglas Rushkoff famously said, “program or be programmed.” When humans invented languages and then the alphabet, people learned to listen and speak, and then read and write. In our increasingly digital world, it’s important to learn not just how to use programs but also how to make them. For example, observe this transition in music. For over a century, music labels decided what songs the public could listen to and purchase. In 2005, three coders created YouTube, which allowed anyone to release songs. Today more songs have been uploaded to YouTube than have been released by all the record labels combined in the past century.

About This Course/Training

This course/training is designed for people with little to no coding experience, and gives an overview of programming to non-programmers. In plain English, you learn how code is used to create web programs, who makes those programs, and the processes they use. The lessons and topics covered include

• Explaining what coding is and answering the common questions related to code
• Building basic websites using the three most common languages: HTML, CSS, and JavaScript
• Surveying other programming languages such as Python
• Creating an application using HTML, CSS, and JavaScript
• Analyzing data using machine learning algorithms and techniques
• Exploring coding careers paths and different ways to learn how to code

As you enroll for this course/training, keep the following in mind:

• The course/training materials can be read from beginning to end, but feel free to skip around if you like. If a topic interests you, start there. You can always return to the previous lessons/chapters, if necessary.
• At some point, you will get stuck, and the code you write will not work as intended. Do not fear! There are many resources to help you, including support forums, others, and me!
• Code in the course/training materials will appear in a monospaced font like this: <h1>Hi there!</h1>.

I assume you don’t have previous programming experience. To follow along, then, you only need to be able to read, type, and follow directions. I try to explain as many concepts as possible using examples and analogies you already know. I assume you have a computer running the latest version of Google Chrome. The examples in the course/training have been tested and optimized for the Chrome browser, which is available for free from Google. Even so, the examples may also work in the latest version of Firefox. Using Internet Explorer for the examples in this training, however, is discouraged. I assume you have access to an Internet connection. Some of the examples in the training can be done without an Internet connection, but most require one so that you can access and complete the exercises. For data analysis and machine learning, I assume you are able to download and install the Python programming language and associated programming libraries, both of which are available for free. I also assume you have some math background and understand how algorithms work.

OUR TRAINING COURSE CONTENT AT A GLANCE

HOW TO GET STARTED WITH CODING

What Is Coding?

• Defining What Code Is.
• Following instructions
• Writing code with some Angry Birds.
• Understanding What Coding Can Do for You.
• Eating the world with software
• Coding on the job
• Scratching your own itch (and becoming rich and famous).
• Surveying the Types of Programming Languages.
• Comparing low-level and high-level programming languages.
• Contrasting compiled code and interpreted code.
• Programming for the web
• Taking a Tour of a Web App Built with Code.
• Defining the app’s purpose and scope
• Standing on the shoulders of giants

Programming for the Web

• Displaying Web Pages on Your Desktop and Mobile Device.
• Hacking your favorite news website.
• Understanding how the World Wide Web works.
• Watching out for your front end and back end.
• Defining web and mobile applications
• Coding Web Applications
• Starting with HTML, CSS, and JavaScript 
• Adding logic with Python, Ruby, or PHP
• Coding Mobile Applications
• Building mobile web apps
• Building native mobile apps

Becoming a Programmer

• Writing Code Using a Process
• Researching what you want to build.
• Designing your app
• Coding your app
• Debugging your code
• Picking Tools for the Job
• Working offline
• Working online with Code Academy

CAREER BUILDING WITH CODING 

Exploring Coding Career Paths

• Augmenting Your Existing Job
• Creative design
• Content and editorial
• Human resources
• Product management
• Sales and marketing
• Legal
• Finding a New Coding Job
• Front-end web development
• Back-end web development
• Mobile application development
• Data analysis

Exploring Undergraduate and Graduate Degrees

• Getting a College Degree
• College computer science curriculum
• Doing extracurricular activities
• Two-year versus four-year school
• Enrolling in an Advanced Degree Program
• Graduate school computer science curriculum.
• Performing research
• Interning to Build Credibility
• Types of internship programs
• Securing an internship

Training on the Job

• Taking a Work Project to the Next Level
• Learning on the Job and after Work
• Training on the job
• Learning after work
• Freelancing to Build Confidence and Skills 
• Transitioning to a New Role
• Assessing your current role
• Networking with developers
• Identifying roles that match your interest and skills.

Coding Career Myths

• Educational Myths
• You must be good at math
• You must have studied engineering
• You can learn coding in a few weeks
• You need a great idea to start coding
• Ruby is better than Python
• Career Myths
• Only college graduates receive coding offers.
• You must have experience
• Tech companies don’t hire women or minorities.
• The highest paying coding jobs are in
• Your previous experience isn’t relevant

BASIC WEB CODING

Exploring Basic HTML 

• What Does HTML Do?
• Understanding HTML Structure
• Identifying elements
• Featuring your best attribute
• Standing head, title, and body above the rest.
• Getting Familiar with Common HTML Tasks and Tags.
• Writing headlines.
• Organizing text in paragraphs
• Linking to your (heart’s) content
• Adding images
• Styling Me Pretty
• Highlighting with bold, italics, underline, and strikethrough.
• Raising and lowering text with superscript and subscript.
• Building Your First Website Using HTML

Getting More Out of HTML

• Organizing Content on the Page
• Listing Data
• Creating ordered and unordered lists
• Nesting lists
• Putting Data in Tables
• Basic table structuring
• Stretching table columns and rows
• Aligning tables and cells
• Filling Out Forms
• Understanding how forms work
• Creating basic forms
• Practicing More with HTML

Getting Stylish with CSS

• What Does CSS Do?
• CSS Structure
• Choosing the element to style
• My property has value
• Hacking the CSS on your favorite website
• Common CSS Tasks and Selectors
• Font gymnastics: Size, color, style, family, and decoration
• Customizing links
• Adding background images and styling foreground images.
• Styling Me Pretty
• Adding CSS to your HTML
• Building your first web page

Next Steps with CSS

• Styling (More) Elements on Your Page
• Styling lists
• Designing tables
• Selecting Elements to Style
• Styling specific elements
• Naming HTML elements
• Aligning and Laying Out Your Elements
• Organizing data on the page
• Shaping the div
• Understanding the box model
• Positioning the boxes
• Writing More Advanced CSS

Building Floating Page Layouts

• Creating a Basic Two-Column Design
• Designing the page
• Building the HTML
• Using temporary background colors
• Setting up the floating columns
• Tuning up the borders
• Advantages of a fluid layout
• Using semantic tags
• Building a Three-Column Design
• Styling the three-column page
• Problems with the floating layout
• Specifying a min-height
• Using height and overflow
• Building a Fixed-Width Layout
• Setting up the HTML
• Fixing the width with CSS
• Building a Centered Fixed-Width layout
• Making a surrogate body with an all div
• How the jello layout works
• Limitations of the jello layout

Using Alternative Positioning

• Working with Absolute Positioning
• Setting up the HTML
• Adding position guidelines
• Making absolute positioning work
• Managing z-index
• Handling depth
• Working with z-index
• Building a Page Layout with Absolute Positioning.
• Overview of absolute layout
• Writing the HTML
• Adding the CSS
• Creating a More Flexible Layout
• Designing with percentages
• Building the layout
• Exploring Other Types of Positioning
• Creating a fixed menu system
• Setting up the HTML
• Setting the CSS values
• Flexible Box Layout Model
• Creating a flexible box layout
• Viewing a flexible box layout
• And now for a little reality

ADVANCED WEB CODING

• Working Faster with Twitter Bootstrap
• Figuring Out What Bootstrap Does
• Installing Bootstrap
• Understanding the Layout Options
• Lining up on the grid system
• Dragging and dropping to a website
• Using predefined templates
• Adapting layout for mobile, tablet, and desktop.
• Coding Basic Web Page Elements
• Designing buttons
• Navigating with toolbars
• Adding icons
• Build the Airbnb Home Page

Adding in JavaScript

• What Does JavaScript Do?
• Using semicolons, quotes, parentheses, and braces.
• Coding Common JavaScript Tasks
• Storing data with variables
• Making decisions with if-else statements
• Working with string and number methods
• Alerting users and prompting them for input
• Naming code with functions
• Adding JavaScript to the web page
• Writing Your First JavaScript Program
• Working with APIs
• What do APIs do?
• Scraping data without an API
• Researching and choosing an API
• Using JavaScript Libraries
• jQuery
• D3.js

Understanding Callbacks and Closures

• What Are Callbacks?
• Passing functions as arguments
• Writing functions with callbacks
• Using named callback functions
• Understanding Closures
• Using Closures

Embracing AJAX and JSON

• Working behind the Scenes with AJAX
• AJAX examples
• Viewing AJAX in action
• Using the XMLHttpRequest object
• Working with the same-origin policy
• Using CORS, the silver bullet for AJAX requests.
• Putting Objects in Motion with JSON

jQuery

• Writing More and Doing Less
• Getting Started with jQuery
• The jQuery Object
• Is Your Document Ready?
• Using jQuery Selectors
• Changing Things with jQuery
• Getting and setting attributes
• Changing CSS
• Manipulating elements in the DOM
• Events
• Using on() to attach events
• Detaching with off()
• Binding to events that don’t exist yet
• Other event methods
• Effects
• Basic effects
• Fading effects
• Sliding effects
• Setting arguments for animation methods
• Custom effects with animate()
• Playing with jQuery animations
• AJAX
• Using the ajax() method
• Shorthand AJAX methods

CREATING WEB APPLICATIONS

Building Your Own App

• Building a Location-Based Offer App
• Understanding the situation
• Plotting your next steps
• Following an App Development Process
• Planning Your First Web Application
• Exploring the Overall Process
• Meeting the People Who Bring a Web App to Life.
• Creating with designers
• Coding with front- and back-end developers.
• Managing with product managers
• Testing with quality assurance

Researching Your First Web Application.

• Dividing the App into Steps
• Finding your app’s functionality
• Finding your app’s functionality: My version.
• Finding your app’s form
• Finding your app’s form: The McDuck’s Offer App design.
• Identifying Research Sources
• Researching the Steps in the McDuck’s Offer App.
• Choosing a Solution for Each Step

Coding and Debugging Your First

• Web Application
• Getting Ready to Code
• Coding Your First Web Application
• Development environment
• Prewritten code
• Coding steps for you to follow
• Debugging Your App

SELECTING DATA ANALYSIS TOOLS.

Wrapping Your Head around Python

• What Does Python Do?
• Defining Python Structure
• Understanding the Zen of Python
• Styling and spacing
• Coding Common Python Tasks and Commands.
• Defining data types and variables
• Computing simple and advanced maths
• Using strings and special characters
• Deciding with conditionals: if, elif, else
• Input and output
• Shaping Your Strings
• Dot notation with upper(), lower(), capitalize(), and strip().
• String formatting with %
• Building a Simple Tip Calculator Using Python.

Installing a Python Distribution

• Choosing a Python Distribution with Machine Learning in Mind.
• Getting Continuum Analytics Anaconda
• Getting Enthought Canopy Express
• Getting Python(x,y)
• Getting WinPython
• Installing Python on Linux
• Installing Python on Mac OS X
• Installing Python on Windows
• Downloading the Data Sets and Example Code.
• Using Jupyter Notebook
• Defining the code repository

Understanding the data sets used in this training.

• Working with Real Data
• Uploading, Streaming, and Sampling Data
• Uploading small amounts of data into memory.
• Streaming large amounts of data into memory.
• Sampling data
• Accessing Data in Structured Flat-File Form.
• Reading from a text file
• Reading CSV delimited format
• Reading Excel and other Microsoft Office files.
• Sending Data in Unstructured File Form
• Managing Data from Relational Databases.
• Interacting with Data from NoSQL Databases.
• Accessing Data from the Web

EVALUATING DATA

Conditioning Your Data

• Juggling between NumPy and pandas
• Knowing when to use NumPy
• Knowing when to use pandas
• Validating Your Data
• Figuring out what’s in your data
• Removing duplicates
• Creating a data map and data plan
• Manipulating Categorical Variables
• Creating categorical variables
• Renaming levels
• Combining levels
• Dealing with Dates in Your Data
• Formatting date and time values
• Using the right time transformation
• Dealing with Missing Data
• Finding the missing data
• Encoding missingness
• Imputing missing data
• Slicing and Dicing: Filtering and Selecting Data.
• Slicing rows
• Slicing columns
• Dicing
• Concatenating and Transforming
• Adding new cases and variables
• Removing data
• Sorting and shuffling
• Aggregating Data at Any Level

Shaping Data

• Working with HTML Pages
• Parsing XML and HTML
• Using XPath for data extraction
• Working with Raw Text
• Dealing with Unicode
• Stemming and removing stop words
• Introducing regular expressions
• Using the Bag of Words Model and Beyond.
• Understanding the bag of words model
• Working with n-grams
• Implementing TF-IDF transformations
• Working with Graph Data
• Understanding the adjacency matrix
• Using NetworkX basics

Getting a Crash Course in MatPlotLib

• Starting with a Graph
• Defining the plot
• Drawing multiple lines and plots
• Saving your work
• Setting the Axis, Ticks, Grids
• Getting the axes
• Formatting the axes
• Adding grids
• Defining the Line Appearance
• Working with line styles
• Using colors
• Adding markers
• Using Labels, Annotations, and Legends
• Adding labels
• Annotating the chart
• Creating a legend

Visualizing the Data

• Choosing the Right Graph
• Showing parts of a whole with pie charts
• Creating comparisons with bar charts
• Showing distributions using histograms
• Depicting groups using boxplots
• Seeing data patterns using scatterplots
• Creating Advanced Scatterplots
• Depicting groups
• Showing correlations
• Plotting Time Series
• Representing time on axes
• Plotting trends over time
• Plotting Geographical Data
• Visualizing Graphs
• Developing undirected graphs
• Developing directed graphs

Exploring Data Analysis

• The EDA Approach
• Defining Descriptive Statistics for Numeric Data.
• Measuring central tendency
• Measuring variance and range
• Working with percentiles
• Defining measures of normality
• Counting for Categorical Data
• Understanding frequencies
• Creating contingency tables
• Creating Applied Visualization for EDA
• Inspecting boxplots
• Performing t-tests after boxplots
• Observing parallel coordinates
• Graphing distributions
• Plotting scatterplots
• Understanding Correlation
• Using covariance and correlation
• Using nonparametric correlation
• Considering chi-square for tables
• Modifying Data Distributions
• Using the normal distribution
• Creating a z-score standardization
• Transforming other notable distributions.

Exploring Four Simple and Effective Algorithms.

• Guessing the Number: Linear Regression
• Defining the family of linear models
• Using more variables
• Understanding limitations and problems
• Moving to Logistic Regression
• Applying logistic regression
• Considering when classes are more
• Making Things as Simple as Naïve Bayes
• Finding out that Naïve Bayes isn’t so naïve
• Predicting text classifications
• Learning Lazily with Nearest Neighbors
• Predicting after observing neighbors
• Choosing your k parameter wisely

ESSENTIALS OF MACHINE LEARNING

Introducing How Machines Learn

• Getting the Real Story about AI
• Moving beyond the hype
• Dreaming of electric sheep
• Overcoming AI fantasies
• Considering the relationship between AI and machine learning.
• Considering AI and machine learning specifications.
• Defining the divide between art and engineering.
• Learning in the Age of Big Data
• Defining big data
• Considering the sources of big data
• Specifying the role of statistics in machine learning.
• Understanding the role of algorithms
• Defining what training means

Demystifying the Math behind Machine Learning

• Working with Data
• Creating a matrix
• Understanding basic operations
• Performing matrix multiplication
• Glancing at advanced matrix operations
• Using vectorization effectively
• Exploring the World of Probabilities
• Operating on probabilities
• Conditioning chance by Bayes’ theorem.
• Describing the Use of Statistics

Descending the Right Curve

• Interpreting Learning as Optimization
• Supervised learning
• Unsupervised learning
• Reinforcement learning
• The learning process
• Exploring Cost Functions
• Descending the Error Curve
• Updating by Mini-Batch and Online

Validating Machine Learning

• Checking Out-of-Sample Errors
• Looking for generalization
• Getting to Know the Limits of Bias
• Keeping Model Complexity in Mind
• Keeping Solutions Balanced
• Depicting learning curves
• Training, Validating, and Testing
• Resorting to Cross-Validation
• Looking for Alternatives in Validation
• Optimizing Cross-Validation Choices
• Exploring the space of hyper-parameters
• Avoiding Sample Bias and Leakage Traps
• Watching out for snooping

APPLYING MACHINE LEARNING

Starting with Simple Learners

• Discovering the Incredible Perceptron
• Falling short of a miracle
• Touching the nonseparability limit
• Growing Greedy Classification Trees
• Predicting outcomes by splitting data
• Pruning overgrown trees
• Taking a Probabilistic Turn
• Understanding Naïve Bayes
• Estimating response with Naïve Bayes.

Leveraging Similarity

• Measuring Similarity between Vectors
• Understanding similarity
• Computing distances for learning
• Using Distances to Locate Clusters
• Checking assumptions and expectations.
• Inspecting the gears of the algorithm
• Tuning the K-Means Algorithm
• Experimenting K-means reliability
• Experimenting with how centroids converge.
• Searching for Classification by k-Nearest Neighbors.
• Leveraging the Correct K Parameter
• Understanding the k parameter
• Experimenting with a flexible algorithm 

Hitting Complexity with Neural Networks

• Learning and Imitating from Nature.
• Going forth with feed-forward
• Going even deeper down the rabbit hole
• Getting back with backpropagation
• Struggling with Overfitting
• Understanding the problem
• Opening the black box
• Introducing Deep Learning

Resorting to Ensembles of Learners

• Leveraging Decision Trees
• Growing a forest of trees
• Understanding the importance measures
• Working with Almost Random Guesses
• Bagging predictors with Adaboost
• Boosting Smart Predictors
• Meeting again with gradient descent
• Averaging Different Predictors

Real-World Applications

• Classifying Images
• Working with a set of images
• Extracting visual features
• Recognizing faces using eigenfaces
• Classifying images
• Scoring Opinions and Sentiments
• Introducing natural language processing
• Understanding how machines read.
• Processing and enhancing text
• Scraping textual data sets from the web.
• Handling problems with raw text.
• Using Scoring and Classification
• Performing classification tasks
• Analyzing reviews from e-commerce
• Recommending Products and Movies
• Realizing the revolution
• Downloading rating data
• Trudging through the MovieLens data set
• Navigating through anonymous web data.
• Encountering the limits of rating data.
• Leveraging SVD.

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