Name: Advanced C++ programming
Price: 3697 GBP
Availability: InStock

Redhill

<h3><b>Network automation training course description</b></h3> 
				<p> This course concentrates on the technical side of tools
and languages for network DevOps rather than the soft
skills. These tools include Python, Ansible, Git and
NAPALM
By the end of the course delegates should be able to
recognise the tools that they can use to automate their
networks and be able to use the knowledge gained to
feel confident approaching network automation.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
          <li>Describe network DevOps.</li>
					<li>Choose network automation tools.</li>
                    <li>Explain the role of various network automation
technologies including:<br />

                    Python<br />
                   Ansible<br />
                    Git<br />
											NAPALM</li>
                    </ul>
       
        <h5>
        <b>Network automation training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Those wishing to learn about the tools of network
automation.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Introduction to data communications.</p>
              
							<li><b>Duration</b></li>
							
              <p>1 day
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network automation training course contents</b></h3>
      <ul>
				<li>What is DevOps and network automation</li><p>
Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations. Unit testing. Hype vs reality.
Benefits and features.
				</p><li>Network monitoring and troubleshooting</li><p>
Traditional methods, SNMP. Netflow and xflow.
Traditional automation. Streaming telemetry.
Event driven automation. gRPC, Protocol buffers.
</p><li>Configuration management</li><p>
Catch 22 and initial configuration. ZTP, POAP.
Traditional automation. TFTP. Ansible vs the rest
(chef, salt, puppet). Jinja2 and templating. How
ansible works.
</p><li>Network programmability</li><p>
Programming languages. Linux, shell scripting.
Python vs the rest. Off box vs on box automation.
</p><li>Python network libraries</li><p>
Sockets pysnmp, ncclient, paramiko, netmiko,
pyez, NAPALM.
</p><li>APIs</li><p>
Proprietary APIs, CLI, NETCONF, RETCONF.
YANG, XML, YAML, JSON.
</p><li>Other tools</li><p>
Git, GitHub, Jenkins, JIRA and others.

</p>
      </ul>

Network automation training course description
 This course concentrates on the technical side of tools
and languages for network DevOps rather than the soft
skills. These tools include Python, Ansible, Git and
NAPALM
By the end of the course delegates should be able to
recognise the tools that they can use to automate their
networks and be able to use the knowledge gained to
feel confident approaching network automation.
What will you learn
Describe network DevOps.
Choose network automation tools.
Explain the role of various network automation
technologies including:
 Python
 Ansible
 Git
 NAPALM
Network automation training course details
Who will benefit:
Those wishing to learn about the tools of network
automation.
Prerequisites:
Introduction to data communications.
Duration
1 day 
Network automation training course contents
What is DevOps and network automation

Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations. Unit testing. Hype vs reality.
Benefits and features. 
Network monitoring and troubleshooting

Traditional methods, SNMP. Netflow and xflow.
Traditional automation. Streaming telemetry.
Event driven automation. gRPC, Protocol buffers.

Configuration management

Catch 22 and initial configuration. ZTP, POAP.
Traditional automation. TFTP. Ansible vs the rest
(chef, salt, puppet). Jinja2 and templating. How
ansible works.

Network programmability

Programming languages. Linux, shell scripting.
Python vs the rest. Off box vs on box automation.

Python network libraries

Sockets pysnmp, ncclient, paramiko, netmiko,
pyez, NAPALM.

APIs

Proprietary APIs, CLI, NETCONF, RETCONF.
YANG, XML, YAML, JSON.

Other tools

Git, GitHub, Jenkins, JIRA and others. 

Systems & Network Training

Network & Security

Network Engineer

Network automation demystified

General Admission

<h3><b>Software development training course description</b></h3>
      <p>This three-day MTA Training course helps you prepare
for Microsoft Technology Associate Exam 98-361, and
build an understanding of these topics: Core
programming, Object-Oriented programming, general
software development, web applications, desktop
applications, and databases. This course leverages the
same content as found in the Microsoft Official
Academic Course (MOAC) for this exam.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Describe core programming.</li>
																							<li>Explain Object Oriented programming.</li>
                    <li>Describe general software development.</li>
                    <li>Describe Web applications.</li>
                    <li>Describe desktop applications.</li>
                    <li>Explain how databases work.</li>
                  </ul>
        <h5>
        <b>Software development training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
            <p>Anyone looking to learn the fundamentals of software.
							</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p> None.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>3 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Software development training course contents</b></h3>
      <ul>
				<li><span>Core programming</span> </li><p>
 </p><li>Computer storage and data types </li><p>
How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data.

</p><li>Computer decision structures </li><p>
Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as Ifâ¦Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions.

</p><li>Handling repetition </li><p>
For loops, While loops, Do...While loops and recursion.

</p><li>Understand error handling </li><p>
Structured exception handling.


	</p><li><span>Object-oriented programming</span> </li><p>
</p><li>Classes </li><p>
Properties, methods, events and constructors; how to create a class; how to use classes in code.

</p><li>Inheritance </li><p>
Inheriting the functionality of a base class into a derived class.

</p><li>Polymorphism </li><p>
Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class.

</p><li>Encapsulation </li><p>
Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers.


	</p><li><span>General software development </span></li><p>
</p><li>Application life cycle management </li><p>
Phases of application life cycle management, software testing.

</p><li>Interpret application specifications </li><p>
Application specifications, translating them into prototypes, code, select appropriate application type and components.

</p><li>Algorithms and data structures </li><p>
Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure.


	</p><li><span>Web applications </span> </li><p>
</p><li>Web page development </li><p>
HTML, CSS, JavaScript.

</p><li>ASP.NET web application development </li><p>
Page life cycle, event model, state management, client-side versus server-side programming.

</p><li>Web hosting </li><p>
Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services.

</p><li>Web services </li><p>
Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL.


	</p><li><span>Desktop applications</span> </li><p>
</p><li>Windows apps </li><p>
UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures.

</p><li>Console-based applications </li><p>
Characteristics and capabilities of console- based applications.

</p><li>Windows Services </li><p>
Characteristics and capabilities of Windows Services.


</p><li><span>		Databases</span> </li><p>
</p><li>Relational database management systems </li><p>
Characteristics and capabilities of database products, database design, ERDs, normalisation concepts.

</p><li>Database query methods </li><p>
SQL, creating and accessing stored procedures, updating and selecting data.

</p><li>Database connection methods </li><p>
Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.</p>
			
      </ul>

Software development training course description
This three-day MTA Training course helps you prepare
for Microsoft Technology Associate Exam 98-361, and
build an understanding of these topics: Core
programming, Object-Oriented programming, general
software development, web applications, desktop
applications, and databases. This course leverages the
same content as found in the Microsoft Official
Academic Course (MOAC) for this exam.
What will you learn
Describe core programming.
Explain Object Oriented programming.
Describe general software development.
Describe Web applications.
Describe desktop applications.
Explain how databases work.
Software development training course details
Who will benefit:
Anyone looking to learn the fundamentals of software. 
Prerequisites:
 None. 
Duration
3 days 
Software development training course contents
Core programming
 
Computer storage and data types

How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. 
Computer decision structures

Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as Ifâ¦Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. 
Handling repetition

For loops, While loops, Do...While loops and recursion. 
Understand error handling

Structured exception handling. 
Object-oriented programming


Classes

Properties, methods, events and constructors; how to create a class; how to use classes in code. 
Inheritance

Inheriting the functionality of a base class into a derived class. 
Polymorphism

Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. 
Encapsulation

Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. 
General software development


Application life cycle management

Phases of application life cycle management, software testing. 
Interpret application specifications

Application specifications, translating them into prototypes, code, select appropriate application type and components. 
Algorithms and data structures

Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. 
Web applications


Web page development

HTML, CSS, JavaScript. 
ASP.NET web application development

Page life cycle, event model, state management, client-side versus server-side programming. 
Web hosting

Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. 
Web services

Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. 
Desktop applications


Windows apps

UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. 
Console-based applications

Characteristics and capabilities of console- based applications. 
Windows Services

Characteristics and capabilities of Windows Services. 
Databases


Relational database management systems

Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. 
Database query methods

SQL, creating and accessing stored procedures, updating and selecting data. 
Database connection methods

Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

Software development fundamentals

<h3><b>Python training course description</b></h3>
      <p> This Python course focusses on teaching Python for
use in network automation and network DevOps. We
focus on getting delegates up and running with Python
and network automation as quickly as possible rather
than making them great programmers. In other words
we concentrate on enabling delegates to use network
automation libraries such as netmiko, NAPALM and
Nornir, and APIs such as NETCONF and RESTCONF
rather than enabling delegates to produce object
oriented programs. Hands on sessions use Cisco and
Juniper devices.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Run Python programs.</li>
																				<li>Read Python programs.</li>
																				<li>Write Python programs.</li>
																				<li>Debug Python programs.</li>
																				<li>Automate network tasks with Python programs.</li>
                    <li>Configure network devices with Python.</li>
                    <li>Collect data from network devices with Python.</li>
                  </ul>
        <h5>
        <b>Python training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Network engineers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP Foundation</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Python training course contents</b></h3>
      <ul>
				<li>What is Python? 	</li><p>
Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments.
<br /><span>Hands on</span> Installing Python, Hello world.
</p><li>A network example	 </li><p>
On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program.
<br /><span>Hands on</span> Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions.

</p><li>Python basics </li><p>
I/O, operators, variables and assignment, types, indentation, loops and conditionals.
<br /><span>Hands on</span> Modifying the telnet program, changing configurations on a network devices.

</p><li>Functions, classes and methods </li><p>
What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances.
<br /><span>Hands on</span> Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices.

</p><li>Libraries and modules </li><p>
Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries.
<br /><span>Hands on</span> Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library.

</p><li>Paramiko and netmiko </li><p>
SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect.
<br /><span>Hands on</span> Configuring VLANs from Python.

	</p><li>pySNMP </li><p>
Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library.
<br /><span>Hands on</span> Walking a MIB from Python.

</p><li>NETCONF </li><p>
What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw.
<br /><span>Hands on</span> Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation.

</p><li>Manipulating configuration files </li><p>
Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates.
<br /><span>Hands on</span> Jinja2 templating with Python to configure network devices.

</p><li>NAPALM </li><p>
Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts.
<br /><span>Hands on</span> Using NAPALM to gather facts, Using NAPALM for configuration management

</p><li>REST and RESTCONF </li><p>
What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example.
<br /><span>Hands on</span> Modifying a configuration using RESTCONF.

</p><li>Scapy </li><p>
What is scapy, Scapy in interactive mode, Scapy as a module.
<br /><span>Hands on</span> Packet crafting from Python.

</p><li>Warning </li><p>
Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With.
<br /><span>Hands on</span> Improving Python code.
		  
		  </p><li>Nornir </li><p>
What is Nornir? A network automation framework,
inventories, connection management and parallelization.
Nornir architecture and other libraires. 
<br /><span>Hands on</span> Setting
up nornir, nornir fact gathering, nornir tasks.

</p><li>Optional </li><p>
Writing your own functions, Writing your own classes. pyntc.
<br /><span>Hands on</span> Writing reusable code.
</p>
      </ul>

Python training course description
 This Python course focusses on teaching Python for
use in network automation and network DevOps. We
focus on getting delegates up and running with Python
and network automation as quickly as possible rather
than making them great programmers. In other words
we concentrate on enabling delegates to use network
automation libraries such as netmiko, NAPALM and
Nornir, and APIs such as NETCONF and RESTCONF
rather than enabling delegates to produce object
oriented programs. Hands on sessions use Cisco and
Juniper devices.
What will you learn
Run Python programs.
Read Python programs.
Write Python programs.
Debug Python programs.
Automate network tasks with Python programs.
Configure network devices with Python.
Collect data from network devices with Python.
Python training course details
Who will benefit:
Network engineers.
Prerequisites:
TCP/IP Foundation
Duration
5 days 
Python training course contents
What is Python?

Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments.

Hands on Installing Python, Hello world.

A network example

On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program.

Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. 
Python basics

I/O, operators, variables and assignment, types, indentation, loops and conditionals.

Hands on Modifying the telnet program, changing configurations on a network devices. 
Functions, classes and methods

What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances.

Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. 
Libraries and modules

Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries.

Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. 
Paramiko and netmiko

SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect.

Hands on Configuring VLANs from Python. 
pySNMP

Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library.

Hands on Walking a MIB from Python. 
NETCONF

What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw.

Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. 
Manipulating configuration files

Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates.

Hands on Jinja2 templating with Python to configure network devices. 
NAPALM

Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts.

Hands on Using NAPALM to gather facts, Using NAPALM for configuration management 
REST and RESTCONF

What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example.

Hands on Modifying a configuration using RESTCONF. 
Scapy

What is scapy, Scapy in interactive mode, Scapy as a module.

Hands on Packet crafting from Python. 
Warning

Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With.

Hands on Improving Python code. 
Nornir

What is Nornir? A network automation framework,
inventories, connection management and parallelization.
Nornir architecture and other libraires. 
Hands on Setting
up nornir, nornir fact gathering, nornir tasks. 
Optional

Writing your own functions, Writing your own classes. pyntc.

Hands on Writing reusable code.


Python for network engineers

Loughborough

<div>
		

		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
		</div>
	</div>

	

	<div id="filters">
		
		
	</div>

	

    <div>

		
		 
		

		<div></div>

		<div>
			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
		</div>

		<div>
			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
		</div>
	</div>
	<div></div>
	
		
        <div>
			
		</div>
				

	
		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.
5 Days - 1 Exam £595.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.
Course Objectives: 
In this course, you will implement data science techniques in order to address business issues. You will:
• Use data science principles to address business issues. 
• Apply the extract, transform, and load (ETL) process to prepare datasets. 
• Use multiple techniques to analyze data and extract valuable insights. 
• Design a machine learning approach to address business issues. 
• Train, tune, and evaluate classification models. 
• Train, tune, and evaluate regression and forecasting models. 
• Train, tune, and evaluate clustering models. 
• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Target Student

This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. 
Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.
In addition to programming, you should also have experience working with databases, including querying languages like SQL. 

Modules/Lessons

Lesson 1: Addressing Business Issues with Data Science
Topic A: Initiate a Data Science Project
Topic B: Formulate a Data Science Problem
Lesson 2: Extracting, Transforming, and Loading Data
Topic A: Extract Data 
Topic B: Transform Data 
Topic C: Load Data
Lesson 3: Analyzing Data
Topic A: Examine Data
Topic B: Explore the Underlying Distribution of Data 
Topic C: Use Visualizations to Analyze Data
Topic D: Preprocess Data
Lesson 4: Designing a Machine Learning Approach
Topic A: Identify Machine Learning Concepts
Topic B: Test a Hypothesis
Lesson 5: Developing Classification Models
Topic A: Train and Tune Classification Models 
Topic B: Evaluate Classification Models
Lesson 6: Developing Regression Models
Topic A: Train and Tune Regression Models 
Topic B: Evaluate Regression Models
Lesson 7: Developing Clustering Models
Topic A: Train and Tune Clustering Models 
Topic B: Evaluate Clustering Models
Lesson 8: Finalizing a Data Science Project
Topic A: Communicate Results to Stakeholders 
Topic B: Demonstrate Models in a Web App 
Topic C: Implement and Test Production Pipelines


Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<div>
		

		<div>
			
			<p>This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.</p>
			<div><i></i> 3 Days</div>
			<div><i></i>  £350.00 incl. VAT</div>
			
			
		</div>
	</div>

	

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	</div>

	

    <div>

		
		 
		

		<div></div>

		<div>
			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
		</div>

		<div>
			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
		</div>
	</div>
	<div></div>
	
		
        <div>
			
		</div>
				

	
		<h3>Description</h3>
		<p></p><p>The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. </p>
<p>This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. </p>
<h3>Course Objectives:</h3>
<p>In this course, you will employ best practices in software development to develop secure software. You will:</p>
<ul>
<li>Identify the need for security in your software projects.</li>
<li>Eliminate vulnerabilities within software.</li>
<li>Use a Security by Design approach to design a secure architecture for your software.</li>
<li>Implement common protections to protect users and data.</li>
<li>Apply various testing methods to find and correct security defects in your software.</li>
<li>Maintain deployed software to ensure ongoing security.</li>
</ul>
<p><b><i>This course includes hands-on activities for each topic area. The goal of these activities is to demonstrate concepts utilizing two universal languages Python and JavaScript. Developers who use alternate languages will be able to apply the principles from the activities to any coding languages.</i></b></p>
<p><b><i>Hands-on exercises are designed to keep the typing of code to a bare minimum. We provide students with all of the code they need to complete activities. The activities do not require a 'deep dive' into code to understand the principles being covered.</i></b></p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy.</p>
<p>This course is also designed for students who are seeking the CertNexus Cyber Secure Coder certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>This course presents secure programming concepts that apply to many different types of software development projects. Although this course uses Python®, HTML, and JavaScript® to demonstrate various programming concepts, you do not need to have experience in these languages to benefit from this course. However, you should have some programming experience, whether it be developing desktop, mobile, web, or cloud applications. </p>
<div>
<h3>Course-specific Technical Requirements</h3>
</div>
<h4>Hardware</h4>
<p>For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:</p>
<ul>
<li>1 GHz or faster 32-bit (x86) or 64-bit (x64) processor</li>
<li>2 gigabytes (GB) RAM (32-bit or 64-bit)</li>
<li>20 GB available hard disk space (32-bit or 64-bit)</li>
<li>Keyboard and mouse (or other pointing device)</li>
<li>1,024 x 768 resolution monitor recommended</li>
<li>Projection system to display the instructor's computer screen</li>
<li>Local area network and Internet connection</li>
</ul>
<h4>Software</h4>
<ul>
<li>Windows® 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. Some activity steps may not key exactly as written if students key on a different version of Windows.</li>
<li>Python version 3.8.1 (python-3.8.1.amd64.msi, provided with the course data files).</li>
<li>PyCharm Community Edition version 2019.3.3 (pycharm-community-2019.3.3.exe, provided with the course data files). Python is distributed under the Python Software Foundation License (PSFL). PyCharm Community Edition is distributed under the Apache® License 2.0.</li>
</ul>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Identifying the Need for Security in Your Software Projects</h4>
<p>Topic A: Identify Security Requirements and Expectations <br />Topic B: Identify Factors That Undermine Software Security <br />Topic C: Find Vulnerabilities in Your Software<br />Topic D: Gather Intelligence on Vulnerabilities and Exploits</p>
<h4>Lesson 2: Handling Vulnerabilities</h4>
<p>Topic A: Handle Vulnerabilities Due to Software Defects and Misconfiguration <br />Topic B: Handle Vulnerabilities Due to Human Factors<br />Topic C: Handle Vulnerabilities Due to Process Shortcomings</p>
<h4>Lesson 3: Designing for Security</h4>
<p>Topic A: Apply General Principles for Secure Design <br />Topic B: Design Software to Counter Specific Threats</p>
<h4>Lesson 4: Developing Secure Code</h4>
<p>Topic A: Follow Best Practices for Secure Coding <br />Topic B: Prevent Platform Vulnerabilities<br />Topic C: Prevent Privacy Vulnerabilities</p>
<h4>Lesson 5: Implementing Common Protections</h4>
<p>Topic A: Limit Access Using Login and User Roles <br />Topic B: Protect Data in Transit and At Rest <br />Topic C: Implement Error Handling and Logging <br />Topic D: Protect Sensitive Data and Functions <br />Topic E: Protect Database Access</p>
<h4>Lesson 6: Testing Software Security</h4>
<p>Topic A: Perform Security Testing<br />Topic B: Analyze Code to find Security Problems<br />Topic C: Use Automated Testing Tools to Find Security Problems</p>
<h4>Lesson 7: Maintaining Security in Deployed Software</h4>
<p>Topic A: Monitor and Log Applications to Support Security <br />Topic B: Maintain Security after Deployment</p>
<p></p>

This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.
3 Days £350.00 incl. VAT
Want to run this event in-house? Enquire about running this event in-house 
Interested in attending? Have a suggestion about running this event near you?
Register your interest now
Description

The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. 
This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. 
Course Objectives:
In this course, you will employ best practices in software development to develop secure software. You will:
Identify the need for security in your software projects.
Eliminate vulnerabilities within software.
Use a Security by Design approach to design a secure architecture for your software.
Implement common protections to protect users and data.
Apply various testing methods to find and correct security defects in your software.
Maintain deployed software to ensure ongoing security.
This course includes hands-on activities for each topic area. The goal of these activities is to demonstrate concepts utilizing two universal languages Python and JavaScript. Developers who use alternate languages will be able to apply the principles from the activities to any coding languages.
Hands-on exercises are designed to keep the typing of code to a bare minimum. We provide students with all of the code they need to complete activities. The activities do not require a 'deep dive' into code to understand the principles being covered.

Target Student

This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy.
This course is also designed for students who are seeking the CertNexus Cyber Secure Coder certification.

Prerequisites

This course presents secure programming concepts that apply to many different types of software development projects. Although this course uses Python®, HTML, and JavaScript® to demonstrate various programming concepts, you do not need to have experience in these languages to benefit from this course. However, you should have some programming experience, whether it be developing desktop, mobile, web, or cloud applications. 
Course-specific Technical Requirements
Hardware
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:
1 GHz or faster 32-bit (x86) or 64-bit (x64) processor
2 gigabytes (GB) RAM (32-bit or 64-bit)
20 GB available hard disk space (32-bit or 64-bit)
Keyboard and mouse (or other pointing device)
1,024 x 768 resolution monitor recommended
Projection system to display the instructor's computer screen
Local area network and Internet connection
Software
Windows® 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. Some activity steps may not key exactly as written if students key on a different version of Windows.
Python version 3.8.1 (python-3.8.1.amd64.msi, provided with the course data files).
PyCharm Community Edition version 2019.3.3 (pycharm-community-2019.3.3.exe, provided with the course data files). Python is distributed under the Python Software Foundation License (PSFL). PyCharm Community Edition is distributed under the Apache® License 2.0.

Modules/Lessons

Lesson 1: Identifying the Need for Security in Your Software Projects
Topic A: Identify Security Requirements and Expectations 
Topic B: Identify Factors That Undermine Software Security 
Topic C: Find Vulnerabilities in Your Software
Topic D: Gather Intelligence on Vulnerabilities and Exploits
Lesson 2: Handling Vulnerabilities
Topic A: Handle Vulnerabilities Due to Software Defects and Misconfiguration 
Topic B: Handle Vulnerabilities Due to Human Factors
Topic C: Handle Vulnerabilities Due to Process Shortcomings
Lesson 3: Designing for Security
Topic A: Apply General Principles for Secure Design 
Topic B: Design Software to Counter Specific Threats
Lesson 4: Developing Secure Code
Topic A: Follow Best Practices for Secure Coding 
Topic B: Prevent Platform Vulnerabilities
Topic C: Prevent Privacy Vulnerabilities
Lesson 5: Implementing Common Protections
Topic A: Limit Access Using Login and User Roles 
Topic B: Protect Data in Transit and At Rest 
Topic C: Implement Error Handling and Logging 
Topic D: Protect Sensitive Data and Functions 
Topic E: Protect Database Access
Lesson 6: Testing Software Security
Topic A: Perform Security Testing
Topic B: Analyze Code to find Security Problems
Topic C: Use Automated Testing Tools to Find Security Problems
Lesson 7: Maintaining Security in Deployed Software
Topic A: Monitor and Log Applications to Support Security 
Topic B: Maintain Security after Deployment


This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.

Cyber Secure Coder

Bristol

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong id="isPasted" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">For pupils aged 14+ | Delivered in UK Schools by Real World App and Games Developers</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our new Getting Started with Website Design and Development Workshop is a great way to introduce your pupils to coding. We&rsquo;ll focus on HTML, CSS and JavaScript throughout a full-day workshop. At the end of the day, they will have a working website, along with notes and support so they are equipped to design an online portfolio for their work, or other project.</p>

For pupils aged 14+ | Delivered in UK Schools by Real World App and Games Developers
Our new Getting Started with Website Design and Development Workshop is a great way to introduce your pupils to coding. We’ll focus on HTML, CSS and JavaScript throughout a full-day workshop. At the end of the day, they will have a working website, along with notes and support so they are equipped to design an online portfolio for their work, or other project.

Code Created (Coding Workshops for Schools)

Getting Started with Website Design and Development Workshop

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">For pupils aged 9 - 16 | Delivered in UK Schools by Real World App and Games Developers</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our micro:bit Workshop teaches your class about the micro:bit, making some apps and games with them during the workshop (we bring our own micro:bits too if your school doesn&#39;t yet have any!). We&rsquo;ll introduce them to MakeCode, the coding language that the micro:bit uses, and teach them the fundamentals of coding before we work on some really fun projects! For older students, we can even use Python with the micro:bit!</p>

For pupils aged 9 - 16 | Delivered in UK Schools by Real World App and Games Developers
Our micro:bit Workshop teaches your class about the micro:bit, making some apps and games with them during the workshop (we bring our own micro:bits too if your school doesn't yet have any!). We’ll introduce them to MakeCode, the coding language that the micro:bit uses, and teach them the fundamentals of coding before we work on some really fun projects! For older students, we can even use Python with the micro:bit!

BBC micro:bit Coding Workshop

<h3><b>Complete C programming training course description</b></h3>
      <p> A hands-on introduction to programming in the ANSI C programming language. The course initially moves at a fast pace in order to spend as much time as possible on the subject of pointers - the area which cause the most bugs in C programs.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
		   <li>Write ANSI C programs</li>
					<li>Use the C libraries</li>
                    <li>Debug C programs</li>
                    <li>Examine existing code and determine its function. </li>
                  </ul>
        <h5>
        <b>Complete C programming training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Programmers wishing to learn C.<br />
                    Programmers wishing to learn C++ or Java.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p> None, although experience in another high level language would be useful.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Complete C programming training course contents</b></h3>
      <ul>
				<li>Getting started </li><p>
The compilation process, comments, main(), statement blocks, printf().

</p><li>C data types and operators </li><p>
char, int, float and double, qualifiers, arithmetic and assignment operators, precedence, Associativity.

</p><li>Basic I/O </li><p>
C libraries, stdin and stdout, getchar(), putchar(), printf() formatting.

</p><li>Flow control </li><p>
if else, dangling elses, else if, while and for loops. switch statements, the null statement, break, continue and gotos.

</p><li>Functions </li><p>
Function calls, arguments and return types, function declarations (prototypes), function definitions, scope of variables.

</p><li>The preprocessor </li><p>
Preprocessor actions, macros, #include. Libraries and their relationship with header files. Conditional compilation.

</p><li>More data types and operators </li><p>
Logical, bitwise and other operators, type conversion, casting, typedefs and access modifiers.

</p><li>Arrays </li><p>
Declaring and handling arrays, common gotchas, multidimensional arrays.

</p><li>Pointers </li><p>
What are pointers? Why they are so important, declaring and using pointers,The three uses of the *,pointer example - scanf, pointers as arguments.

</p><li>More pointers </li><p>
Golden rules of pointers and arrays, pointers to arrays, pointer arithmetic, arrays of pointers, multiple indirection.

</p><li>Character/string manipulation </li><p>
Arrays of characters, string definition, working with strings, String library.

</p><li>Program arguments </li><p>
argc and argv, example uses,char *argv[] versus char ** argv.

</p><li>Program structure and storage classes </li><p>
Globals (externals), multi source programs, the look of a C program.

</p><li>Structures </li><p>
Declaration, the . and - operators, unions and bitfields.

</p><li>Library functions </li><p>
File handling, fopen and fclose, reading from and writing to files, fseek().calloc() and malloc()</p>
			
      </ul>

Complete C programming training course description
 A hands-on introduction to programming in the ANSI C programming language. The course initially moves at a fast pace in order to spend as much time as possible on the subject of pointers - the area which cause the most bugs in C programs.
What will you learn
Write ANSI C programs
Use the C libraries
Debug C programs
Examine existing code and determine its function.
Complete C programming training course details
Who will benefit:
Programmers wishing to learn C.
 Programmers wishing to learn C++ or Java.
Prerequisites:
 None, although experience in another high level language would be useful. 
Duration
5 days 
Complete C programming training course contents
Getting started

The compilation process, comments, main(), statement blocks, printf(). 
C data types and operators

char, int, float and double, qualifiers, arithmetic and assignment operators, precedence, Associativity. 
Basic I/O

C libraries, stdin and stdout, getchar(), putchar(), printf() formatting. 
Flow control

if else, dangling elses, else if, while and for loops. switch statements, the null statement, break, continue and gotos. 
Functions

Function calls, arguments and return types, function declarations (prototypes), function definitions, scope of variables. 
The preprocessor

Preprocessor actions, macros, #include. Libraries and their relationship with header files. Conditional compilation. 
More data types and operators

Logical, bitwise and other operators, type conversion, casting, typedefs and access modifiers. 
Arrays

Declaring and handling arrays, common gotchas, multidimensional arrays. 
Pointers

What are pointers? Why they are so important, declaring and using pointers,The three uses of the *,pointer example - scanf, pointers as arguments. 
More pointers

Golden rules of pointers and arrays, pointers to arrays, pointer arithmetic, arrays of pointers, multiple indirection. 
Character/string manipulation

Arrays of characters, string definition, working with strings, String library. 
Program arguments

argc and argv, example uses,char *argv[] versus char ** argv. 
Program structure and storage classes

Globals (externals), multi source programs, the look of a C program. 
Structures

Declaration, the . and - operators, unions and bitfields. 
Library functions

File handling, fopen and fclose, reading from and writing to files, fseek().calloc() and malloc()

Complete C programming

<h3><b>Complete VBA programming training course description</b></h3>
      <p>    
               This course helps you extend the capabilities of the
entire Office suite using Visual Basic for Applications
(VBA). Even if you have no programming experience,
you'll be automating routine computing processes
quickly using the simple, yet powerful VBA
programming language. We start at the beginning to
get you acquainted with VBA so you can start recording
macros right away. You'll then build upon that
foundation to utilize the full capabilities of the language
in Word, Excel, Outlook, and PowerPoint.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Record, write and run macros.</li>
					  															 <li>Work with VBA Editor.</li>
                       <li>Use the huge library of built-in functions.</li>
                       <li>Create simple dialog boxes and complex
forms.</li>
																							<li>Customize Word, Excel, PowerPoint,
Outlook, and Access.</li>
					  															 <li>Program the Office 2016 ribbon.</li>
                  </ul>
        <h5>
        <b>Complete VBA programming training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
            <p>Anyone looking to extend the capabilities of the entire
Office suite using VBA.
							</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p> None.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Complete VBA programming training course contents</b></h3>
     <ul>
				<li>Macros and getting started in VBA </li><p>
VBA syntax, variables, constants, and enumerations, array variables, finding objects, methods, and properties.

</p><li>Working with VBA </li><p>1
VBA syntax, variables, constants, and enumerations, array variables, finding objects, methods, and properties.

</p><li>Decisions, loops and functions </li><p>
Built-in functions, creating your own functions, making decisions in your code, using loops to repeat actions.

</p><li>Using message boxes, input boxes, and dialog boxes </li><p>
Getting user input with message boxes and input boxes, creating simple custom dialog boxes, creating complex forms.

</p><li>Creating effective code </li><p>
Building modular code and using classes, debugging your code and handling errors, building well-behaved code, exploring VBA's security features.

</p><li>Programming the Office applications </li><p>
The Word object model and key objects, working with widely used objects in Word, the Excel object model and key objects, working with widely used objects in Excel, the PowerPoint object, model and key objects, working with shapes and running slide shows, the Outlook object model and key objects, working with events in Outlook, the Access object model and key objects, manipulating the data in an Access database via VBA, accessing one application from another application, programming the Office 2016 ribbon.</p>
			
      </ul>

Complete VBA programming training course description
 This course helps you extend the capabilities of the
entire Office suite using Visual Basic for Applications
(VBA). Even if you have no programming experience,
you'll be automating routine computing processes
quickly using the simple, yet powerful VBA
programming language. We start at the beginning to
get you acquainted with VBA so you can start recording
macros right away. You'll then build upon that
foundation to utilize the full capabilities of the language
in Word, Excel, Outlook, and PowerPoint.
What will you learn
Record, write and run macros.
Work with VBA Editor.
Use the huge library of built-in functions.
Create simple dialog boxes and complex
forms.
Customize Word, Excel, PowerPoint,
Outlook, and Access.
Program the Office 2016 ribbon.
Complete VBA programming training course details
Who will benefit:
Anyone looking to extend the capabilities of the entire
Office suite using VBA. 
Prerequisites:
 None. 
Duration
5 days 
Complete VBA programming training course contents
Macros and getting started in VBA

VBA syntax, variables, constants, and enumerations, array variables, finding objects, methods, and properties. 
Working with VBA
1
VBA syntax, variables, constants, and enumerations, array variables, finding objects, methods, and properties. 
Decisions, loops and functions

Built-in functions, creating your own functions, making decisions in your code, using loops to repeat actions. 
Using message boxes, input boxes, and dialog boxes

Getting user input with message boxes and input boxes, creating simple custom dialog boxes, creating complex forms. 
Creating effective code

Building modular code and using classes, debugging your code and handling errors, building well-behaved code, exploring VBA's security features. 
Programming the Office applications

The Word object model and key objects, working with widely used objects in Word, the Excel object model and key objects, working with widely used objects in Excel, the PowerPoint object, model and key objects, working with shapes and running slide shows, the Outlook object model and key objects, working with events in Outlook, the Access object model and key objects, manipulating the data in an Access database via VBA, accessing one application from another application, programming the Office 2016 ribbon.

Complete VBA programming

<h3><b>Advanced C++ training course description</b></h3>
      <p>   The course will give a broad overview of the C++
Programming language, focusing on modern C++, up to
C++17. This course will cover the use of the Standard
Library, including containers, iterator, function objects
and algorithms. From the perspective of application
development, a number of design patterns will be
considered.  </p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
		<li>Write C++ programs using the more esoteric language features.</li>
					<li>Utilise OO techniques to design C++ programs.</li>
                    <li>Use the standard C++ library.</li>
                    <li>Exploit advanced C++ techniques </li>
                  </ul>
        <h5>
        <b>Advanced C++ training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Programmers needing to write C++ code.<br />
                    Programmers needing to maintain C++ code.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>C++ programming foundation.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Advanced C++ training course contents</b></h3>
      <ul>
				<li>Study of a string class </li><p>

Create a string class as a means to investigate
many issues, involving the use of operator
overloading and including overloading new and
delete. Creation of the class will also require
consideration of 'const correctness'.

</p><li>Exception handling </li><p>
Consider the issues involved in exception handling
including the concept of exception safety.

</p><li>Templates </li><p>
Review definition of template functions, including
template parameter type deduction. Introduction
to template metaprogramming. Newer features
including template template parameters and
variadic templates. Creation of template classes.

</p><li>Design patterns</li><p>
Introduction to Design Patterns and consideration
of a number of patterns, such as, factory method,
builder, singleton and adapter.


</p><li>The standard C++ library (STL) </li><p>
Standard Library features, such as, Containers,
Iterator, Function Objects and Algorithms.
Introduction to Lambda expressions.
</p><li>C++ and performance</li><p>
The writing of code throughout the course will be
oriented towards performant code, including use of
R Value references and 'move' semantics.
	</p><li>Pointers</li><p>
The use of pointers will be considered throughout
the course. Smart pointers will be considered to
improve program safety and help avoid the use of
'raw' pointers.	
		  </p><li>Threading</li><p>
This section will consider the creation of threads
and synchronisation issues. A number of
synchronisation primitives will be considered.
Async and the use of Atomic will also be
considered.
	 </p><li>New ANSI C++ features</li><p>
Summarising some of the newer features to be
considered are:
Auto, Lambdas expression, smart pointers,
variadic templates and folds, R Value references
and tuple together with structured binding.
		  </p>
      </ul>

Advanced C++ training course description
 The course will give a broad overview of the C++
Programming language, focusing on modern C++, up to
C++17. This course will cover the use of the Standard
Library, including containers, iterator, function objects
and algorithms. From the perspective of application
development, a number of design patterns will be
considered. 
What will you learn
Write C++ programs using the more esoteric language features.
Utilise OO techniques to design C++ programs.
Use the standard C++ library.
Exploit advanced C++ techniques
Advanced C++ training course details
Who will benefit:
Programmers needing to write C++ code.
 Programmers needing to maintain C++ code.
Prerequisites:
C++ programming foundation. 
Duration
5 days 
Advanced C++ training course contents
Study of a string class
 Create a string class as a means to investigate
many issues, involving the use of operator
overloading and including overloading new and
delete. Creation of the class will also require
consideration of 'const correctness'. 
Exception handling

Consider the issues involved in exception handling
including the concept of exception safety. 
Templates

Review definition of template functions, including
template parameter type deduction. Introduction
to template metaprogramming. Newer features
including template template parameters and
variadic templates. Creation of template classes. 
Design patterns

Introduction to Design Patterns and consideration
of a number of patterns, such as, factory method,
builder, singleton and adapter. 
The standard C++ library (STL)

Standard Library features, such as, Containers,
Iterator, Function Objects and Algorithms.
Introduction to Lambda expressions.

C++ and performance

The writing of code throughout the course will be
oriented towards performant code, including use of
R Value references and 'move' semantics. 
Pointers

The use of pointers will be considered throughout
the course. Smart pointers will be considered to
improve program safety and help avoid the use of
'raw' pointers. 
Threading

This section will consider the creation of threads
and synchronisation issues. A number of
synchronisation primitives will be considered.
Async and the use of Atomic will also be
considered. 
New ANSI C++ features

Summarising some of the newer features to be
considered are:
Auto, Lambdas expression, smart pointers,
variadic templates and folds, R Value references
and tuple together with structured binding. 

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