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DESIGN Development IT & Software Network & Security Web Design

Getting Started with Reverse Engineering

Getting Started with Reverse Engineering

 


 

 


Getting Started with Reverse Engineering

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 3h 40m | 618 MB
eLearning | Skill level: All Levels

 

Reverse engineering binary code is a core skill for software security engineers, malware analysts and penetration testers. This course will teach you techniques for reversing binary code to identify program characteristics and behavior.

The ability to reverse engineer binary code is an essential skill for anyone responsible for software security or performing malware analysis, and it even plays a significant role in performing penetration tests and incident response. In this course, Getting Started with Reverse Engineering, you will gain the skills necessary to reverse engineer native code and determine program behavior. First, you will discover the basic elements of modern CPU architecture and the essentials of assembly language. Next, you will learn about native code, the portable executable file format and techniques to enrich your reverse engineering efforts. Finally, you will explore proficiency in the tools and techniques associated with performing static and dynamic reverse engineering to include IDA Pro and WinDbg. Throughout this course you will be able to follow along through comprehensive demonstrations and apply yourself through hands-on labs. By the end of this course, you will have the knowledge and skills necessary to reverse engineer native code binaries.

Course Overview
1 Course Overview

Introduction
2 Course Introduction
3 Why Learn to Reverse Engineer
4 Module Introduction
5 The Reverse Engineering Process
6 Conclusion

Assembly Basics
7 Module Introduction
8 CPU Architecture Registers, Memory, and Machine Code
9 The Assembler and Program Segments
10 Instruction Set Architecture Mnemonics, Operands, and Opcodes
11 Essential Instructions
12 Bitwise Operations, Endianness, and Size
13 Module Conclusion

Working with Native Code
14 Module Introduction
15 The Portable Executable (PE) File Format
16 An Introduction to the Windows API
17 Demo Parsing PE Files
18 Lab Analyzing PE Files
19 Module Conclusion

Using Debuggers
20 Module Introduction
21 Debugger Functionality
22 Debugger Commands
23 Using WinDbg Under Windows
24 Demo Using a Debugger Part 1
25 Demo Using a Debugger Part 2
26 Lab Debug a Problem Program
27 Conclusion

Practical Assembly
28 Introduction
29 Functions and the Stack Frame
30 Calling Conventions
31 Demo The Call Stack and Stack Frames
32 Conditionals and Control Structures
33 Demo Tracing Branching Logic
34 Arrays
35 Lab Tracing a More Complex Program
36 Conclusion

Reverse Engineering
37 Introduction
38 Getting Started with IDA Pro
39 Demo Loading Your First Binary
40 Leveraging Strings and APIs
41 Demo Following Strings and APIs
42 Strategies for Tracing Program Behavior
43 Lab Reversing an Unknown Binary Part 1
44 Lab Reversing an Unknown Binary Part 2
45 Conclusion

Conclusion
46 Introduction
47 What You Learned
48 Leveling up Your Skills
49 Conclusion





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Categories
DESIGN Development IT & Software Network & Security Web Design

Data Science Foundations: Fundamentals

Data Science Foundations: Fundamentals

 


 

 

 


Data Science Foundations: Fundamentals

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 3h 41m | 710 MB
eLearning | Skill level: All Levels

Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It’s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you’ll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient.

Topics include:

  • The demand for data science
  • Roles and teams in data science
  • Artificial intelligence
  • Big data
  • Predictive analytics
  • Ethics and agency
  • Sources of data and rules
  • Data science tools
  • Math and data science
  • Analysis
  • Creating actionable insights

Introduction
1 The fundamentals of data science

What Is Data Science
2 Supply and demand for data science
3 The data science Venn diagram
4 The data science pathway
5 Roles and teams in data science

The Place of Data Science in the Data Universe
6 Artificial intelligence
7 Machine learning
8 Deep learning neural networks
9 Big data
10 Predictive analytics
11 Prescriptive analytics
12 Business intelligence

Ethics and Agency
13 Legal ethical and social issues of data science
14 Agency of algorithms and decision-makers

Sources of Data
15 Data preparation
16 In-house data
17 Open data
18 APIs
19 Scraping data
20 Creating data
21 Passive collection of training data
22 Self-generated data

Sources of Rules
23 The enumeration of explicit rules
24 The derivation of rules from data analysis
25 The generation of implicit rules

Tools for Data Science
26 Applications for data analysis
27 Languages for data science
28 Machine learning as a service

Mathematics for Data Science
29 Algebra
30 Calculus
31 Optimization and the combinatorial explosion
32 Bayes theorem

Analyses for Data Science
33 Descriptive analyses
34 Predictive models
35 Trend analysis
36 Clustering
37 Classifying
38 Anomaly detection
39 Dimensionality reduction
40 Feature selection and creation
41 Validating models
42 Aggregating models

Acting on Data Science
43 Interpretability
44 Actionable insights

Conclusion
45 Next steps


Categories
DESIGN Development IT & Software Network & Security Web Design

UX & Web Design Master Course: Strategy, Design, Development

UX & Web Design Master Course: Strategy, Design, Development

Learn how to apply User Experience (UX) principles to your website designs, code a variety of sites, and increase sales!

Description

This course will teach you everything you need to know about UX, including design, content, and coding. And you’ll learn from the ground up, so it doesn’t matter how much experience you have when you start.

You’ll be exposed to principles and strategies, but, more importantly, you’ll learn how to actually apply these abstract concepts by coding three different websites for three very different audiences.

Improve Your Website with UX Strategies

  • Apply UX strategies to a site’s content & design
  • Understand Information Architecture to enhance the content on your website
  • Know what dictates how your website should look
  • Design and code a B2B website, a B2C blog, and an ecommerce site

Understand UX and Learn How to Develop Winning Websites

This course will help you stand out as a web designer, teaching you how to apply User Experience (UX) strategies that will make every site you build useful, usable, and valuable.

Reinforce what you’re learning using the bonus 30-page downloadable UX Guidebook. Filled with exercises and activities, the UX Guidebook is a great tool to reference as you progress through the course, or while developing your own custom sites.

You’ll also get hands-on experience designing and coding three different types of sites. This will give you the confidence to pursue similar projects if you’re already a website designer, if you want to get into web design, or if you want to enhance your current business site.

Contents and Overview

Even if you’re a complete beginner, this course will show you how to make a website functional, attractive and successful. It will walk you through all of the steps required to enhance the User Experience on any site, right down to the code, content, and design.

You’ll begin by defining who your website users are and what they expect from the website. You’ll also learn how business goals — yours or your client’s — have to be uncovered and addressed for site success.

You’ll learn what questions to ask both groups, and you’ll use the answers to inform your content and design decisions.

Next, you’ll dig into Information Architecture (IA), which looks at the content on your website, how you should categorize it, what you should call it, and more.

This will lay the foundation on which you can further build out your website to make users flock to it, stay on it, and hopefully make purchases.

Plus, you’ll tackle how to design your website depending upon who your visitors are, whether your website is B2B (business-to-business), B2C (business-to-consumer), or an ecommerce site for selling products online.

Different audiences have different needs, so learning what your target user expects from your site means you’ll be able to design and build a site that meets those expectations and leads to greater conversions.

In addition to knowing what you need to put into your website to make it stand out from the crowd, you’ll also learn how to identify and remove UX- and UI-related obstacles.

The ability to see and solve these problems will ensure every website you build moving forward will be useful, usable and valuable to the people who use it.

Most importantly, you’ll then learn how to actually build and code these types of sites using HTML, CSS, WordPress, and more.

You’ll not only know how to effectively design B2B, B2C, and ecommerce sites, but you’ll also know exactly how to develop these sites, from start to finish.

By the end of this course, you’ll have an in-depth understanding of UX and web design, as well as the tools to develop a variety of sites with the right code.

You’ll know why UX is so important to both users and businesses, what content is needed on a site, what UI design is appropriate, and how to transform your vision into a fully functional website using the most effective tools available.

Who is the target audience?
  • New or established business owners who want to gain more from their online presence
  • Beginners who want to learn UX, web design and/or development
  • Website designers who want to enhance their skills
  • Print designers who want to move into web design




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