Data analysis

This Expert Track will provide you with a comprehensive knowledge of digital information security concepts and an understanding of their application. You’ll become an expert in the threats posed to organizations and the approaches needed to mitigate such threats.

The first course in this ExpertTrack covers the fundamentals of cyber security, the different types of cyber threat, and the development of an effective security policy. Once you have covered the basics, you’ll explore IT risk management and the techniques used to mitigate threats to an organization. You’ll consider security policies, security governance, and incident response strategies, learning how to apply different approaches to various real life cyber security breaches.

There will be an opportunity to unpack the basic principles of cryptography and analyze different encryption methods. Take the chance to explore the key principles of access control, password security, and biometrics, giving you an understanding of how access security breaches typically take place and what can be done to prevent them. You will also analyze relevant laws and regulations, including GDPR and the Computer Misuse Act (CMA), enabling you to work confidently within guidelines to uphold a high level of data security.

The final course in the ExpertTrack looks at the future of cyber security and threat management, taking into account the increased vulnerabilities of high technology systems. To complete your digital security training, you will critically discuss the sophistication of growing threats to organizations that conduct their business online and whether or not a bulletproof solution for these threats is possible.

By the end of the ExpertTrack, you will be able to…

• Demonstrate an understanding of security concepts and protocols and their application to contemporary internet and mobile-based solutions and technologies
• Investigate the role of a security policy for protecting information assets, as well as demonstrate self-direction in designing security policies to defend those assets within the context of global communication and the web
• Perform a systematic digital risk assessment, identification and analysis in accordance with international standards and demonstrate an ability to deal with complex issues
• Demonstrate a systematic understanding of IT governance that relates to information security and how it influences the security policy of an organization
• Demonstrate a conceptual understanding of a wide range of current research and technological advances in cyber security and the ability to assess these

• The Cyber Security Landscape
• Risk Management and Security Vulnerabilities
• Information Security and Management
• Cryptography and Digital certificates
• The future of Cyber Security and Emerging Technologies

KEY SKILLS YOU WILL LEARN

• Enterprise information security
• Risk management
• Risk assessment
• Cyber security
• Information security
• Digital security
• Security tools
• Network management
• Data management

This Business Intelligence Analyst and Data Science Course will bring together the analytical tools and skills you can use to identify, explore and assess the challenges and prospects that business intelligence and data science can bring to your organization. You will discover how these trends can be addressed through sustainability-oriented innovation and real-world case studies. Business Intelligence and Data Science greatly influence today’s companies, industries and cultures, and their ability to generate insights in this area. As such, having knowledge in these domains is crucial to your organization’s success as well as to your own personal development.

Participants will also learn essential data analytics ideologies such as system thinking, multi-level perspectives and multidisciplinary methods and understand how to apply them to any particular obstacles that their organization may face. This Business Intelligence Analyst and Data Science Certification Course program will also encourage you to focus on skills that have always been in demand, such as teamwork, cooperation with various stakeholders and responsibility for choices made using other methods of decision-making.

This course will allow participants to work with real-life business intelligence and data science examples using easy-to-understand explanations, create engaging visualizations, take part in exercises, and share course notes and other materials. We guarantee to provide support whenever necessary to enhance your overall experience.

Upon completing this Business Intelligence Analyst and Data Science Course successfully, participants will be able to:

• Gather, organize, analyze, and visualize data
• Use data for improved business decision-making
• Represent data as informational metrics, reports, dashboards, and KPIs
• Perform quantitative and qualitative business analysis
• Analyze current and historical data
• Find how to discover trends, market conditions, and perform competitor analysis using data
• Understand the fundamentals of data that leads to the science behind it
• Solve real-world business analysis tasks

This Business Intelligence Analyst and Data Science course would be suitable for:

• Beginners in programming and data science
• Individuals enthusiastic about job prospects in the field of business intelligence or data science
• Applicants willing to boost their resume by learning how to combine knowledge with real-world issues
• Programmers who want to develop business reasoning to solve various business problems
• Anyone who is pursuing a career in Business Intelligence Analysis or Data Science

• Basics of Insight Generation
• The Different Data Science Fields
• Introduction to Data and Data Science
• Common Data Science Techniques
• Common Data Science Tools
• Basic Statistics: Foundation of Quantitative Insights
• The Normal Distribution and Histograms
• Data Visualization
• Advanced Charts and Dashboards
• Demand Forecasting

This Economic Analysis and Data Analytics course combines skills in programming, data gathering, and data management with skills in economic reasoning and statistical analysis. It is intended to bring together participants with concentrated careers that require expertise in creating data systems with analytical and statistical proficiencies.

The economics segment of the course advances the participants’ knowledge in economic theory and provides students with skills associated with advanced econometric analysis, and helps students develop their communication skills, whereas the technical part of the course is designed to provide a solid foundation in understanding the core elements of data analytics programming, building data management systems, and data mining.

This training course will give the aspiring data analyst deeper practice in specific organizational and industrial contexts so that they can be better prepared for the unique contexts they’ll find themselves in when working on the job.

Upon completing this Economic Analysis and Data Analytics course successfully, participants will be able to:

• Apply economic models to business problems
• Identify contexts and applications of data in specific industries and in organizational settings
• Implement conventional data analysis techniques and customizing them for exceptional circumstances
• Utilize different types of data in different scenarios
• Analyze data with advanced statistical and econometric techniques
• Employ techniques of data analysis to form business strategies
• Apply computer programming and computing software to analysis of data
• Build a career in economics or data analysis

Professionals in the following fields will benefit from this Economic Analysis and Data Analytics Training Program:

• Management, Economics, and Consumer Studies
• International Development Studies
• Environmental Sciences
• Professionals who wish to specialize in economics
• Professionals who wish to specialize in data analytics
• New MSc Bio based Sciences for students with a specialization in economics
• PhD candidates in the field of economics
• C-level executives who need to understand economic strategies
• Decision-makers
• Government employees who form regulations
• Customer Representatives

• • The Basics
  • Economic Cycles
  • Forecasting Economic Trends
  • Use Economic Forecasts
  • Microeconomic Analysis
  • Corporate Finance
  • Data Analytics
  • Forecasting Methods
  • Data and Analysis in the Real World
  • Analytical Tools
  • Perform Predictive Analytics Tasks
  • Decision Analytics

   

This training course is designed to give an overview of Data and Information Governance and the requirements to support and deliver an effective governance framework in your organization. Data and Information Governance involves the management of information and how to establish a framework for employees to handle data through robust policies and procedures.

The legal framework governing the use of personal data can be complex and different across regions. Hence, this course will help its participants in understanding those complexities and what standards should be met for information governance and security. Governance functions are now moving towards automation of secure data retention, disposal, extraction, and archiving. Individuals who work with data, especially those confidential in nature, are required to have a full understanding of their responsibilities regarding the information and confidentiality clauses that they can be held accountable for including laws like the Data Protection Act and Consumer Rights Acts

This training also draws attention to the risks of keeping inaccurate or inconsistent records, along with the conventional best practice for record storage. Poor record-keeping not only endangers your clients/customers but also places your staff at risk of making flawed judgements based on the misinformation provided.

Upon completing this Data and Information Governance Certification Course successfully, participants will be able to:

• Understand why information governance is important
• Be aware of the laws, best practices, and regulations on information governance
• Be aware of the core principles of data and information security
• Develop an effective information governance framework for stakeholders and staff
• Design and implement a pragmatic framework for managing data and information assets
• Identify the required roles and responsibilities for information governance throughout the organization
• Improve how information is captured, distributed, accessed, stored, and disposed of
• Ensure legal and regulatory compliance
• Reduce storage, retrieval, and legal costs
• Save time and money through greater interoperability and standardized policies

This Data and Information Governance Certification Course would be suitable for:

• IT professionals
• Governance department employees
• Data and information auditors
• Compliance auditors
• All employees who work with data and information
• All those who have a responsibility to keep personal information up-to-date, secure, and confidential

• Introduction to Data Governance
• Data Governance Deployment
• Main Legislative and other Provisions
• Information Sharing
• Record Keeping and Processing
• Data Governance I.T Solutions
• Developing Policy, Procedures, and Action Plans
• When Things Go Wrong
• Managing a Data Governance Program
• Program Management Factors
• Risk Planning and Management
• Communication Channels Policies

The very first step in data analysis is to identify the need for data, followed by developing an ability to capture the right type of data. The most difficult step in analysis is often getting sensible data, particularly in the context of your organization’s data management strategy.

This course will teach you the best practices to overcome some common obstacles in data capture, collection, and analysis. You will also learn strategies to recognize the best types of data to match your needs, look at the various methods to collect primary and secondary data, and also evaluate a range of research techniques.

The participants of this program will be introduced to data sources, data models, data management techniques, and data ownership, all of which are all essential elements of a data-driven organization. They will examine the common methods, ordering tactics, system capacity, and security issues in systems that deal with high data volumes and analytics. The participants will also evaluate the individual, legal and communal impacts of the ways in which data is collected including the data shared on public platforms and social media. They also assess the notable problems with Data capture, collection, and analysis, and how technological tools can be used to address these issues.

This training course will empower you with the ability to collect and collate large amounts of data and then monitor and manage this data in order to make use of it to its optimum.

By the end of the course, you‘ll be able to…

• Recognize different data elements in your own work and in everyday life problems
• Identify needs before collecting data
• Determine appropriate sample size
• Select appropriate means of data collection
• Design a viable, cost-effective data collection plan
• Utilize primary data to make decisions and secondary data to support them
• Learn how to acquire significant information through interviews and observations
• Improve online data research methodologies
• Design high-quality surveys

• Data analysts
• Business intelligence analysts
• Data visualizers
• Data and analytics managers
• Any professional who is interested in learning how data can be used in decision-making
• Individuals who require skills and knowledge to gather data to use in an analysis project

• The Analytics Process Model
• Understand the Organization and Define the Problem
• Research Designs and Data Collection Methods
• Planning the Data Collection Project
• Sampling
• Exploratory Research: Secondary Data
• Exploratory Research: Interviews
• Descriptive Research: Surveys
• Exploratory Data Analysis
• Preparing the Data

Cyber security is crucial for most organizations, which is where network defence management comes in. This course is designed to give you an overview of network defence management in context and you will learn how to prevent cyber-attacks.

This course will give you an insight into the threat cyber warfare really poses to organizations, and we will look at state hacking, cyber-attacks and counter attacks. This gives you a chance to put your learning in context and understand exactly what you are up against in network defence management. You will have a chance to look at network defence management in context which includes cyber threats in a UK context as well as looking at the international landscape, including relevant policy and legislation.

This course is designed to give you an overview of the threats cyber warfare poses, with a national and international context. This will help equip those looking to start or develop their career in cyber security and network defence management.

By the end of the course, you will be able to…

• Demonstrate a basic understanding of network defence management
• Demonstrate understanding of the effects of inappropriate network defence management

This course is for anyone looking to develop their understanding of cyber security and network defence management. Please note that the individuals detailed in the ‘Who will you learn with?’ section below, are current staff members and may be subject to change.

• • Network Defence Management in Context
  • Introduction to cyber security and network defence
  • Cyber threats – the UK context

   

  • The International Landscape
  • Cyber warfare
  • Social element of network defence
  • Policy and legislation
  • Summary of the week

   

   

With the rise of Artificial Intelligence and Machine Learning, ethics has come to the forefront of the conversation in IT and Computer sciences.

Through this course we will explore the history of ethics as it relates to IT professionals, and the impact an ethical approach to development of software and tools can have on businesses. Computer ethics is one of the fastest growing areas of interest within IT related industries. A solid knowledge of this field is valued by employers, many of which have an appreciation of the broader impacts software and hardware can have on communities and societies.

Through this course you will learn how to mitigate ethical risks and improve your decision making, valuable skills for any information technology professional.

By the end of the course, you‘ll be able to…

• Apply an ethical theory to a moral dilemma involving a computing professional.
• Identify ethical problems and assess their implications from the perspective of the Australian Computer Society Code of Professional Conduct.
• Evaluate solutions to ethical problems and make a recommendation for the best course of action.

This course is aimed at anyone studying or planning to study a computing course whether at undergraduate or postgraduate level but will be especially useful for computing professionals working in any industry. Anyone with an interest in ethics or professionalism in a computing context is also welcome and encouraged to join this course.

• Ethics in Computing
• Professionalism in computing
• Ethical Analysis

Microsoft Azure is a cloud computing service built by Microsoft for creating, testing, deploying, and managing applications through data centres managed by Microsoft. This azure big data course discusses topics around the various cloud analytics options available on the Microsoft Azure cloud platform. Data analytics services like HDInsight, Apache Apache Spark, Jupyter, Zappelin, Stream Analytics, and Lake Analytics will be studied in detail as a part of this course.

Most organizations today want a deeper level of analysis on the data that is accessible to them so that they can use this analysis and information to enhance their decision-making process and subsequently increase its probability of success. The Azure analytics services help you to get useful insights from big data, regardless of whether it is real-time or gathered over time.

What are the prerequisites for this ‘Azure Big Data Analytics Certification Course’? Although not mandatory, participants are expected to have a basic level of knowledge in big data, data analytics, processing and querying bulk data, analyzing real-time and historical data, using SQL or data analysis and visualization tools like Power BI or PowerShell. This course will empower you with an in-depth understanding of data analytics and provide you with in-depth knowledge of specific data analysis tools and techniques.

Upon completing this course successfully, participants will be able to:

• Get an overview of the big data and advanced analytics capabilities of the cloud
• Explore various Big Data Analytics services available on Microsoft Azure cloud
• Recognize how to design solutions for batch and real-time data processing
• Understand different methods of using Azure
• Expand your knowledge about creating big data analytics solutions on Microsoft Azure
• Learn HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics, Data Bricks

This azure big data course would be suitable for:

• Those who want to make a career in Cloud Computing and Data Analytics
• Anyone interested in learning Microsoft Azure
• Individuals who are interested in learning about the various Big Data Analysis services and options available on Microsoft Azure
• Software Architects
• Programming Developers and System Administrators
• Experienced working professionals and Project Managers
• Business Intelligence, Data Warehousing and Analytics Professionals
• ETL and Data Warehousing Professionals
• Data Analysts & Business Intelligence Professionals
• Database Administrators and other DB professionals

• Batch Processing
• Design Big Data Batch Processing Solutions
• Big Data Real Time Processing Solutions
• Design Big Data Real- Time Processing Solutions
• Operationalize End-to-End Cloud Analytics Solutions
• Implementing Data Storage in Azure
• Data Factories and Workflows
• Powershell for Technology Professionals
• Operationalize End-to-End Cloud Analytics Solutions
• Scripting
• HD Insight
• Hosting Services on Premises and in Azure

Passwords are an integral part of digital security but it’s important to know their vulnerabilities to maintain strong cyber security. In this training course, you’ll explore different types of password attacks and how to use them in a penetration test and security assessment. Through practical experience, you’ll understand how malicious password attacks occur and what you can do to prevent them.

You’ll begin by covering the basic theory of password protection by understanding topics on cryptography, password entropy and hashing. You’ll then put this into practice by learning how to crack passwords. You’ll learn how to set up a small environment for security testing where you’ll delve into a diverse range of methodologies to bypass passwords, including brute force attack, dictionary attack, rainbow table attack and keylogger.

As you learn how to crack a variety of password types, you’ll become familiar with the tools required to prevent password attacks.. What’s more, you’ll learn how to create strong, unforgettable passwords that offer more security. By the end of the course, you’ll understand the theory behind password attacks, how to create an uncrackable password, and the solutions and techniques you can implement to prevent attacks in future.

By the end of the course, you‘ll be able to…

• Understand how to set up a small environment for security testing
• Understand how to bypass passwords using Brute Force Attacks, Dictionary Attacks, Rainbow table attacks and key loggers
• Understand how to use different tools to perform password attacks
• Understand how to prevent Brute Force Attacks, Dictionary Attacks, Rainbow table attacks and sniffing via key loggers how to create strong passwords that you will never forget
• Explore tools to help you prevent password attacks and/or create a strong password

This course is designed for beginner and intermediate level learners interested in improving their understanding of cyber security and how to create secure passwords.

You should be familiar with computers, bash (or similar), and be able to install Windows + Linux.

To complete this course, you will need:

• Operating system: Mac, Linux, Windows
• Browser: Firefox, Chrome
• VirtualBox, Latest Version
• Windows 10 Developer or Evaluation VM for/VirtualBox
• Kali ISO

Introduction to Password Security and Types of Password Attacks

• Welcome to the Expert Track
• Welcome to the Course
• Bypassing Your First Password
• Brute Force Attacks
• Dictionary Attacks
• Rainbow Table Attacks

Password Security in the Real World

• Introduction
• The Downside of Passwords
• Remedies and Mitigations
• Case Studies