72 Algorithms courses in Bury delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This course is for web developers who are well-versed in JavaScript and want to take their TypeScript knowledge to the next level. No prior TypeScript knowledge is required. Overview By completing this course, you will be able to build interesting TypeScript projects. This course will take your current TypeScript knowledge to the next level. Here are the important topics that this course will cover: - Learn the fundamentals of TypeScript - Build a weather forecast widget with Angular - Create building a note-taking client/server application using Angular, Node.js, and MongoDB - Create a real-time chat application with React In this course, you will begin by learning the fundamentals of TypeScript and then move toward advanced concepts. Then, learn how TypeScript relates to JavaScript that you may have written before. and understand the benefits of TypeScript and how it can help you avoid software defects. You will also learn to use type guards, check null and undefined, create tagged union types, and compare the performance of algorithms. Additionally, you will use TypeScript to build a weather forecast widget with Angular and then progress by building a note-taking client/server application using Angular, Node.js, and MongoDB, and finally create a real-time chat application with React. TypeScript Fundamentals Introduction to TypeScript Type Checking Advanced Type Analysis Features Comparing Performance of Algorithms Building a Weather Forecast Widget with Angular 4 Using Modules Creating the First Component Using the Component in Other Components Using the Main Component Note-Taking Client/Server App Setting up the Server Integrating with MongoDB Creating the Client Side with Angular Real-Time Chat Setting up the Project Writing the Server Creating the Chat Room Additional course details: Nexus Humans Building Web Applications With TypeScript, Angular, and React training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Web Applications With TypeScript, Angular, and React course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of C++ and object-oriented programming concepts. This course is for Non-Developers, or anyone who wants to have a basic understanding of and learn how to code C++ applications and syntax Overview Companies are constantly challenged to keep their applications, development projects, products, services (and programmers!) up to speed with the latest industry tools, skills, technologies and practices to stay ahead in the ever-shifting markets that make up today's fiercely competitive business landscape. The need for application, web and mobile developers and coders is seemingly endless as technologies regularly change and grow to meet the modern needs of demanding industries and clients. C++ and Programming Basics for Non-Programmers is a five-day, basic-level training course geared for IT candidates who have little or no prior experience in computer programming. Throughout this gentle introduction to programming and C++, students will learn to create applications and libraries using C++ using best practices and sound OO development techniques for writing object-oriented programs in C++. Special emphasis is placed on object-oriented concepts and best practices throughout the training. Fundamentals of the Program Development Cycle Computer Architecture The Notion of Algorithms Source Code vs. Machine Code Compile-Time vs. Run-Time Software Program Architecture Standalone Client/Server Distributed Web-Enabled IDE (Interactive Development Environment) Concepts Looping Constructs Counter-Controlled Repetition Sentinel-Controlled Repetition Nested Control Constructs break and continue Statements Structured Programming Best Practices Writing Methods (Functions) Static vs. Dynamic Allocation Declaring Methods Declaring Methods with Multiple Parameters Method-Call Stack Scope of Declarations Argument Promotion and Casting Designing Methods for Reusability Method Overloading Arrays Purpose of Arrays Declaring and Instantiating Arrays Passing Arrays to Methods Multidimensional Arrays Variable-Length Argument Lists Using Command-Line Arguments Using Environment Variables Deeper Into Classes and Objects Controlling Access to Class Members Referencing the Current Object Using this Overloading Constructors Default and No-Argument Constructors Composition of Classes Garbage Collection and Destructors The finalize Method Static Class Members Defining Classes Using Inheritance Application Development Fundamentals Structure of a C++ Program Memory Concepts Fundamental Data Type Declarations Fundamental I/O Concepts Fundamental Operators Arithmetic Operators Logical Operators Precedence and Associativity Building and Deploying a C++ Program Superclasses and Subclasses Advantages of Using Inheritance protected Class Members Constructors in Subclasses Increasing Convenience by Using Polymorphism Purpose of Polymorphic Behavior The Concept of a Signature Abstract Classes and Methods final Methods and Classes Purpose of Interfaces Using and Creating Interfaces Common Interfaces of the C++ API Files and Streams Concept of a Stream Class File Sequential Access Object Serialization to/from Sequential Access Files Fundamental Searching and Sorting Introduction to Searching Algorithms Linear Search Binary Search Introduction to Sorting Algorithms Selection Sort Insertion Sort Merge Sort Fundamental Data Structures Dynamic Memory Allocation Linked Lists Stacks Queues Trees Exception Handling Types of Exceptions Exception Handling Overview Introduction to Classes and Objects Classes, Objects and Methods Object Instances Declaring and Instantiating a C++ Object Declaring Methods set and get Methods Initiating Objects with Constructors Primitive Types vs. Reference Types Flow Control Conditional Constructs Exception Class Hierarchy Extending Exception Classes When to Throw or Assert Exceptions Formatted Output printf Syntax Conversion Characters Specifying Field Width and Precision Using Flags to Alter Appearance Printing Literals and Escape Sequences Formatting Output with Class Formatter Strings, Characters and Regular Expressions Fundamentals of Characters and Strings String Class String Operations StringBuilder Class Character Class StringTokenizer Class Regular Expressions Regular Expression Syntax Pattern Class Matcher Class Fundamental GUI Programming Concepts Overview of Swing Components Displaying Text and Graphics in a Window Event Handling with Nested Classes GUI Event Types and Listener Interfaces Mouse Event Handling Layout Managers Additional course details: Nexus Humans C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Data Science for Marketing Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for The Certified Ethical Hacking v12 course will significantly benefit security officers, auditors, security professionals, site administrators, and anyone who is concerned about the integrity of the network infrastructure. Overview Information security controls, laws, and standards. Various types of footprinting, footprinting tools, and countermeasures. Network scanning techniques and scanning countermeasures Enumeration techniques and enumeration countermeasures Vulnerability analysis to identify security loopholes in the target organization?s network, communication infrastructure, and end systems. System hacking methodology, steganography, steganalysis attacks, and covering tracks to discover system and network vulnerabilities. Different types of malware (Trojan, Virus, worms, etc.), system auditing for malware attacks, malware analysis, and countermeasures. Packet sniffing techniques to discover network vulnerabilities and countermeasures to defend against sniffing. Social engineering techniques and how to identify theft attacks to audit human-level vulnerabilities and social engineering countermeasures. DoS/DDoS attack techniques and tools to audit a target and DoS/DDoS countermeasures. Session hijacking techniques to discover network-level session management, authentication/authorization, and cryptographic weaknesses and countermeasures. Webserver attacks and a comprehensive attack methodology to audit vulnerabilities in webserver infrastructure, and countermeasures. Web application attacks, comprehensive web application hacking methodology to audit vulnerabilities in web applications, and countermeasures. SQL injection attack techniques, injection detection tools to detect SQL injection attempts, and countermeasures. Wireless encryption, wireless hacking methodology, wireless hacking tools, and Wi-Fi security tools. Mobile platform attack vector, android vulnerability exploitations, and mobile security guidelines and tools. Firewall, IDS and honeypot evasion techniques, evasion tools and techniques to audit a network perimeter for weaknesses, and countermeasures. Cloud computing concepts (Container technology, serverless computing), the working of various threats and attacks, and security techniques and tools. Penetration testing, security audit, vulnerability assessment, and penetration testing roadmap. Threats to IoT and OT platforms and defending IoT and OT devices. Cryptography ciphers, Public Key Infrastructure (PKI), cryptography attacks, and cryptanalysis tools. CEH provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so you will be better positioned to setup your security infrastructure and defend against future attacks. An understanding of system weaknesses and vulnerabilities helps organizations strengthen their system security controls to minimize the risk of an incident. CEH was built to incorporate a hands-on environment and systematic process across each ethical hacking domain and methodology, giving you the opportunity to work towards proving the required knowledge and skills needed to achieve the CEH credential. You will be exposed to an entirely different posture toward the responsibilities and measures required to be secure. Now in its 12th version, CEH continues to evolve with the latest operating systems, tools, tactics, exploits, and technologies. 1 - Introduction to Ethical Hacking Information Security Overview Cyber Kill Chain Concepts Hacking Concepts Ethical Hacking Concepts Information Security Controls Information Security Laws and Standards 2 - 2 - Foot-printing and Reconnaissance Footprinting Concepts Footprinting through Search Engines Footprinting through Web Services Footprinting through Social Networking Sites Website Footprinting Email Footprinting Who is Footprinting DNS Footprinting Network Footprinting Footprinting through Social Engineering Footprinting Tools Footprinting Countermeasures 3 - Scanning Networks Network Scanning Concepts Scanning Tools Host Discovery Port and Service Discovery OS Discovery (Banner Grabbing/OS Fingerprinting) Scanning Beyond IDS and Firewall Draw Network Diagrams 4 - Enumeration Enumeration Concepts NetBIOS Enumeration SNMP Enumeration LDAP Enumeration NTP and NFS Enumeration SMTP and DNS Enumeration Other Enumeration Techniques Enumeration Countermeasures 5 - Vulnerability Analysis Vulnerability Assessment Concepts Vulnerability Classification and Assessment Types Vulnerability Assessment Solutions and Tools Vulnerability Assessment Reports 6 - System Hacking System Hacking Concepts Gaining Access Escalating Privileges Maintaining Access Clearing Logs 7 - Malware Threats Malware Concepts APT Concepts Trojan Concepts Virus and Worm Concepts Fileless Malware Concepts Malware Analysis Countermeasures Anti-Malware Software 8 - Sniffing Sniffing Concepts Sniffing Technique: MAC Attacks Sniffing Technique: DHCP Attacks Sniffing Technique: ARP Poisoning Sniffing Technique: Spoofing Attacks Sniffing Technique: DNS Poisoning Sniffing Tools Countermeasures Sniffing Detection Techniques 9 - Social Engineering Social Engineering Concepts Social Engineering Techniques Insider Threats Impersonation on Social Networking Sites Identity Theft Countermeasures 10 - Denial-of-Service DoS/DDoS Concepts DoS/DDoS Attack Techniques BotnetsDDoS Case Study DoS/DDoS Attack Tools Countermeasures DoS/DDoS Protection Tools 11 - Session Hijacking Session Hijacking Concepts Application Level Session Hijacking Network Level Session Hijacking Session Hijacking Tools Countermeasures 12 - Evading IDS, Firewalls, and Honeypots IDS, IPS, Firewall, and Honeypot Concepts IDS, IPS, Firewall, and Honeypot Solutions Evading IDS Evading Firewalls IDS/Firewall Evading Tools Detecting Honeypots IDS/Firewall Evasion Countermeasures 13 - Hacking Web Servers Web Server Concepts Web Server Attacks Web Server Attack Methodology Web Server Attack Tools Countermeasures Patch Management Web Server Security Tools 14 - Hacking Web Applications Web Application Concepts Web Application Threats Web Application Hacking Methodology Web API, Webhooks, and Web Shell Web Application Security 15 - SQL Injection SQL Injection Concepts Types of SQL Injection SQL Injection Methodology SQL Injection Tools Evasion Techniques Countermeasures 16 - Hacking Wireless Networks Wireless Concepts Wireless Encryption Wireless Threats Wireless Hacking Methodology Wireless Hacking Tools Bluetooth Hacking Countermeasures Wireless Security Tools 17 - Hacking Mobile Platforms Mobile Platform Attack Vectors Hacking Android OS Hacking iOS Mobile Device Management Mobile Security Guidelines and Tools 18 - IoT and OT Hacking IoT Hacking IoT Concepts IoT Attacks IoT Hacking Methodology IoT Hacking Tools Countermeasures OT Hacking OT Concepts OT Attacks OT Hacking Methodology OT Hacking Tools Countermeasures 19 - Cloud Computing Cloud Computing Concepts Container Technology Serverless Computing Cloud Computing Threats Cloud Hacking Cloud Security 20 - Cryptography Cryptography Concepts Encryption Algorithms Cryptography Tools Public Key Infrastructure (PKI) Email Encryption Disk Encryption Cryptanalysis Countermeasures Additional course details: Nexus Humans EC-Council Certified Ethical Hacker (CEH) v.12 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the EC-Council Certified Ethical Hacker (CEH) v.12 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This is an introductory-level C++ programming course designed for developers with experience programming in C or other languages. Practical hands-on prior programming experience and knowledge is required. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with C++, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: Writing procedural programs using C++ Using private, public and protected keywords to control access to class members Defining a class in C++ Writing constructors and destructors Writing classes with const and static class members Overloading operators Implementing polymorphic methods in programs Writing programs using file I/O and string streams Using manipulators and stream flags to format output Using the keyword template to write generic functions and classes Writing programs that use generic classes and functions Writing programs that use algorithms and containers of the Standard Library Apply object-oriented design techniques to real-world programming problems Using algorithms and containers of the Standard Library to manipulate string data Understand how C++ protects the programmer from implementation changes in other modules of an application Using try() blocks to trap exceptions Using catch() blocks to handle exceptions Defining exceptions and using throw to trigger them Introduction to C++ Programming / C++ Essentials is a skills-focused, hands-on C++ training course geared for experienced programmers who need to learn C++ coupled with sounds coding skills and best practices for OO development. Students will leave this course armed with the required skills to put foundation-level C++ programming skills right to work in a practical environment. The central concepts of C++ syntax and style are taught in the context of using object-oriented methods to achieve reusability, adaptability and reliability. Emphasis is placed on the features of C++ that support abstract data types, inheritance, and polymorphism. Students will learn to apply the process of data abstraction and class design. Practical aspects of C++ programming including efficiency, performance, testing, and reliability considerations are stressed throughout. Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency Moving from C to C++ (Optional) New Compiler Directives Stream Console I/O Explicit Operators Standard Libraries Data Control Capabilities Handling Data New Declaration Features Initialization and Assignment Enumerated Types The bool Type Constant Storage Pointers to Constant Storage Constant Pointers References Constant Reference Arguments Volatile Data Global Data Functions Function Prototypes and Type Checking Default Function Data Types Function Overloading Problems with Function Overloading Name Resolution Promotions and Conversions Call by Value Reference Declarations Call-by-Reference and Reference Types References in Function Return Constant Argument Types Conversion of Parameters Using Default Initializers Providing Default Arguments Inline Functions Operator Overloading Advantages and Pitfalls of Overloading Member Operator Syntax and Examples Class Assignment Operators Class Equality Operators Non-Member Operator Overloading Member and Non-Member Operator Functions Operator Precedence This Pointer Overloading the Assignment Operator Overloading Caveats Creating and Using Objects Creating Automatic Objects Creating Dynamic Objects Calling Object Methods Constructors Initializing Member consts Initializer List Syntax Allocating Resources in Constructor Destructors Block and Function Scope File and Global Scope Class Scope Scope Resolution Operator :: Using Objects as Arguments Objects as Function Return Values Constant Methods Containment Relationships Dynamic Memory Management Advantages of Dynamic Memory Allocation Static, Automatic, and Heap Memory Free Store Allocation with new and delete Handling Memory Allocation Errors Controlling Object Creation Object Copying and Copy Constructor Automatic Copy Constructor Conversion Constructor Streaming I/O Streams and the iostream Library Built-in Stream Objects Stream Manipulators Stream Methods Input/Output Operators Character Input String Streams Formatted I/O File Stream I/O Overloading Stream Operators Persistent Objects Introduction to Object Concepts The Object Programming Paradigm Object-Orientated Programming Definitions Information Hiding and Encapsulation Separating Interface and Implementation Classes and Instances of Objects Overloaded Objects and Polymorphism Declaring and Defining Classes Components of a Class Class Structure Class Declaration Syntax Member Data Built-in Operations Constructors and Initialization Initialization vs. Assignment Class Type Members Member Functions and Member Accessibility Inline Member Functions Friend Functions Static Members Modifying Access with a Friend Class Templates Purpose of Template Classes Constants in Templates Templates and Inheritance Container Classes Use of Libraries Strings in C++ Character Strings The String Class Operators on Strings Member Functions of the String Class Inheritance Inheritance and Reuse Composition vs. Inheritance Inheritance: Centralized Code Inheritance: Maintenance and Revision Public, Private and Protected Members Redefining Behavior in Derived Classes Designing Extensible Software Systems Syntax for Public Inheritance Use of Common Pointers Constructors and Initialization Inherited Copy Constructors Destructors and Inheritance Public, Protected, Private Inheritance Exceptions Types of Exceptions Trapping and Handling Exceptions Triggering Exceptions Handling Memory Allocation Errors C++ Program Structure Organizing C++ Source Files Integrating C and C++ Projects Using C in C++ Reliability Considerations in C++ Projects Function Prototypes Strong Type Checking Constant Types C++ Access Control Techniques Polymorphism in C++ Definition of Polymorphism Calling Overridden Methods Upcasting Accessing Overridden Methods Virtual Methods and Dynamic Binding Virtual Destructors Abstract Base Classes and Pure Virtual Methods Multiple Inheritance Derivation from Multiple Base Classes Base Class Ambiguities Virtual Inheritance Virtual Base Classes Virtual Base Class Information The Standard Template Library STL Containers Parameters Used in Container Classes The Vector Class STL Algorithms Use of Libraries

MySQL for developers training course description This MySQL Developers training course is designed for MySQL Developers who have a good understanding of a MySQL database and experience of using SQL commands. The course provides further practical experience in more advanced MySQL commands and SQL statements including Stored Routines, Triggers and Event Scheduling. What will you learn Provide the skills needed to write more advanced queries and database maintenance statements on a MySQL database. Use advanced features of the MySQL Client. Use advanced data types. Manage the structure of databases and tables. Manage and using indexes. Write complex SQL query statements. Use advanced SQL expressions. Use advanced SQL functions. Perform advanced Insert, Update, Delete, Replace and Truncate Operations. Use user variable syntax and properties. Import and export data from within MySQL. Import and export data from the command line. Perform complex joins to access multiple tables. Perform complex subqueries. Create, manage and us views. Use prepared statements. Create and use stored routines. Create and use triggers. Obtain database metadata. Optimize queries. Work with the main storage engines. Debug MySQL applications. MySQL for developers training course details Who will benefit: MySQL Developers who have a basic understanding of a MySQL database and SQL commands as covered on the Introduction to MySQL course. Prerequisites: MySQL foundation Duration 5 days MySQL for developers training course contents Introduction Administration and Course Materials, Course Structure and Agenda, Delegate and Trainer Introductions. Client/server concepts MySQL client/server architecture, Server modes, Using client programs, Logging in options, Configuration files, Precedence of logging in options Hands on Using client/server The MySQL client program Using MySQL interactively, The MySQL prompts, Client commands and SQL statements, Editing, Selecting a database, Help, Safe updates, Using script files, Using a source file, Redirecting output into a file, Command line execution, Mysql output formats, Overriding the defaults, Html and xml output, MySQL Utilities. Hands on Using the MySQL client program Data types Bit data type, Numeric data types, Auto_increment, Character string data types, Character sets and collation, Binary string data types, Enum and Set data types, Temporal data types, Timezone support, Handling Missing Or Invalid Data Values, SQL_MODE options. Hands on Using data types Identifiers Using Quotes with identifier naming, Case sensitivity in Identifier naming, Qualifying columns with table and database names, Using reserved words as identifiers, Function names Hands on Using identifiers Databases Database properties, Creating a database, Selecting a database, Altering databases, Dropping databases, Obtaining database metadata, The SHOW command, The INFORMATION_SCHEMA database, The SHOW CREATE command Hands on Using databases Tables and indexes Table properties, Creating tables, Create table using Select or Like, Temporary tables and memory tables, Altering tables, Adding columns, Changing column widths and types, Renaming columns, Dropping columns, Adding constraints, Dropping constraints, Renaming tables, Change the table storage engine, Multiple alterations, Dropping tables, Emptying tables, Obtaining table metadata, Show create table, The information_schema, Index introduction, Structure of a mysql index, Creating and dropping indexes, Creating an index, Altering a table to add an index, Specifying index type, Dropping indexes, Obtaining Index Metadata. Hands on Creating, altering and dropping tables/indexes Querying for data The SQL select statement and MySQL differences, Advanced order by, Order by and collation, Order by with enum datatype, Order by with Set datatype, Ordering with distinct and group by Special features of union, Limit and order by clauses, Group By clause, Group_concat, Using Rollup in a Group By clause. Hands on Querying for data SQL Expressions and functions Components of expressions, Nulls, Numeric expressions, String expressions, Temporal expressions, Comparison functions, Flow control functions, Numeric functions, String functions, Temporal functions. Hands on Using expressions and functions Updating data Update operations and privileges, Inserting rows, Insert using a set clause, Inserting duplicate values, Replacing rows, Updating rows, Update using the order by and limit clauses, Deleting rows, The delete and truncate statements. Exercise: Inserting, updating, replacing and deleting data Connectors MySQL client interfaces, MySQL connectors, Oracle and community conectors, Connecting to MySQL server using Java and PHP connectors, MySQL and NoSQL, Innodb integration with memcached. Obtaining database metadata What is metadata?, The mysqlshow utility, The show and describe commands, Describing tables, The information_schema, Listing tables, Listing columns, Listing views, Listing key_columns_usage. Hands on Obtaining database metadata Debugging Mysql error messages, The show statement, Show errors, Show count(*) errors, Show warnings, Show count(*) warnings, Note messages, The perror utility. Hands on Debugging Joins Overview of inner joins, Cartesian product, Inner joins with original syntax, Non equi-join, Using table aliases to avoid name clashes, Inner Joins With ISO/ANSI Syntax, Outer Joins, Left outer joins, Right outer joins, Full outer joins, Updating multiple tables simultaneously, Updating rows in one table based on a condition in another, Updating rows in one table reading data from another, Deleting from multiple tables simultaneously, Deleting rows in one table based on a condition in another. Hands on Coding joins Subqueries Types of subquery, Multiple-column subqueries, Correlated subqueries, Using the ANY, ALL and SOME operators, Using the EXISTS operator, Subqueries as scalar expressions, Inline views, Converting subqueries to joins, Using subqueries in updates and deletes. Hands on Coding subqueries Views Why views are used, Creating views, View creation restrictions, View algorithms, Updateable views, Altering and dropping views, Displaying information about views, Privileges for views. Hands on Using views Import and Export Exporting using SQL, Privileges required to export data, Importing using SQL, Messages when loading data, Privileges required to load data, Exporting from the command line, Mysqldump main options, Importing from the command line, Mysqlimport main options. Hands on Importing and exporting User variables and prepared statements Creating User variables, User variables in a select, Prepared statements, The prepare statement, The execute statement, The deallocate statement, Using prepared statements in code, with connectors. Hands on Using variables and prepared statements Introduction to stored routines Types of stored routines, Benefits of stored routines, Stored routine features, Differences between procedures and functions, Introduction to the Block, Declaring variables and constants, Assigning values to variables, Definer rights and invoker rights, Using SELECT in stored routines, Altering and dropping stored routines, Obtaining stored routine metadata, Stored routine privileges and execution security. Hands on Writing simple stored routines Stored routines - program logic The IF .. THEN .. ELSEIF construct, The CASE statement, The basic loop, The while loop, The repeat loop, The iterate statement, Nested loops. Hands on Writing stored routines with program logic Stored routines - exception handlers and cursors Dealing with errors using Exception handlers, Cursors, What is a cursor?, Cursor operations, Declaring cursors, Opening and closing cursors, Fetching rows, Status checking. Hands on Writing stored routines with program logic Procedures with parameters Creating procedures with parameters, Calling Procedures With Parameters. Hands on Writing stored routines with parameters Functions What is a function?, The create function statement, Executing functions, Executing functions from code, Executing functions from SQL statements, The deterministic and SQL clauses. Hands on Writing functions Triggers Trigger creation, Restrictions on triggers, The create trigger statement, Using the old and new qualifiers, Managing triggers, Destroying triggers, Required privileges. Hands on Writing triggers Basic optimizations Normalisation of data to third normal form, Using indexes for optimization, General query enhancement, Using Explain to analyze queries, Choosing an INNODB or MYISAM storage engine, Using MySQL Enterprise Monitor in query optimization. Hands on Making use of basic optimizations More about indexes Indexes and joins Hands on Investigating indexes and joins

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs