7944 Insights courses in Liverpool delivered Online

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 2 Days 12 CPD hours This course is intended for Data Protection Officers Data Protection Managers Auditors Legal Compliance Officers Security Manager Information Managers Anyone involved with data protection processes and programmes Overview Principles of Privacy Program Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organization through process and technology?regardless of jurisdiction or industry. The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Manager (CIPM) certification program. Founded in 2000, the IAPP is the world?s largest and most comprehensive privacy resource with a mission to define, support and improve the Privacy profession globally. Every organization has data protection needs. Every day, we access, share and manage data across companies, continents and the globe. Knowing how to implement a privacy program is an invaluable skill that will help you protect your organization?s data?and take your career to the next level. Our Principles of Privacy Program Management training is the premier course on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a privacy team. Introduction to privacy program management Privacy program management responsibilities Accountability in privacy program management Privacy governance Considerations for developing and implementing a privacy program Position of the privacy function within an organization Role of the DPO Program scope and charter Privacy strategy Support and ongoing involvement of key functions and privacy frameworks Applicable laws and regulations The regulatory environment Common elements across jurisdictions Strategies for aligning compliance with organizational strategy Data assessments Practical processes for creating and using data inventories/maps Generating and applying gap analyses Privacy assessments Privacy impact assessments/data protection impact assessments Vendor assessments Policies Common types of privacy-related policies Policy components Strategies for implementation Data subject rights Operational considerations for communicating and ensuring data subject rights Privacy notice Choice and consent Access and rectification Data portability Erasure Training and awareness Developing privacy training and awareness programs Implementing privacy training and awareness programs Protecting personal information Holistic approach to protecting personal information Privacy by design Data breach incident plans Planning for a data security incident or breach Responding to a data security incident or breach Monitoring and auditing program performance Common practices for monitoring privacy program performance Measuring, analyzing and auditing privacy programs Additional course details: Nexus Humans Certified Information Privacy Manager (CIPM) 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 Certified Information Privacy Manager (CIPM) 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 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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.

Course Overview: "Financial Ratio Analysis for Business Decisions" equips learners with essential tools to analyse financial statements effectively, enabling better business decision-making. The course introduces key financial ratios such as profitability, return, liquidity, and operational ratios, providing valuable insights into a company's financial health. By understanding these ratios, learners can evaluate business performance, assess risks, and make informed decisions in various business contexts. The course is designed to enhance the financial acumen of professionals across sectors, equipping them with the analytical skills needed to drive strategic decisions and improve financial outcomes. Learners will gain a comprehensive understanding of how financial ratios influence corporate strategy, with an emphasis on real-world application in business operations and decision-making. Course Description: This course covers a range of financial ratios essential for making informed business decisions. Learners will explore profitability ratios, return ratios, liquidity ratios, and operational analysis, learning how to interpret and use these metrics to evaluate a company's performance. The curriculum also delves into identifying potential financial manipulations and understanding how these impact decision-making. By completing the course, learners will gain a solid understanding of financial ratio analysis and its role in assessing the strengths and weaknesses of an organisation's financial health. The course is designed for professionals across industries looking to enhance their financial literacy and analytical skills, preparing them to make confident, data-driven decisions. Learners will benefit from structured content, expert-led discussions, and industry-specific case studies that help contextualise theoretical concepts. Course Modules: Module 01: Introduction Overview of Financial Ratios Importance of Ratio Analysis in Decision-Making Key Terminology and Definitions Module 02: Profitability Understanding Profit Margin Ratios Gross Profit Margin Net Profit Margin Return on Assets (ROA) and Return on Equity (ROE) Module 03: Return Ratio Definition and Importance of Return Ratios Return on Investment (ROI) Economic Value Added (EVA) Evaluating Business Performance Module 04: Liquidity Ratio Importance of Liquidity Ratios in Business Current Ratio Quick Ratio Cash Flow Analysis Module 05: Operational Analysis Efficiency Ratios Asset Turnover Inventory and Receivables Management Module 06: Detecting Manipulations And Making Other Operational Decisions Identifying Financial Statement Manipulations Fraud Detection Techniques Making Operational Decisions Based on Financial Data (See full curriculum) Who is this course for? Individuals seeking to improve their financial decision-making skills. Professionals aiming to enhance their understanding of financial performance metrics. Beginners with an interest in business finance and financial analysis. Business analysts and managers looking to gain deeper insights into financial health. Career Path: Financial Analyst Business Analyst Investment Analyst Finance Manager Management Consultant Risk Manager Corporate Strategy Analyst

Accounting and Finance Course Overview: This Accounting and Finance course offers a comprehensive understanding of the key principles and practices involved in accounting and finance. Learners will gain insights into essential financial concepts, from understanding the role of accountants to analysing financial statements. The course equips learners with the skills needed to navigate the world of financial management, preparing them for a wide range of opportunities in the finance industry. By completing this course, learners will be able to confidently approach financial tasks, from budgeting to risk management, and develop a clear understanding of the financial decision-making process. Course Description: This course covers the fundamentals of accounting and finance, offering in-depth insights into financial processes, accounting mechanics, and the preparation and analysis of financial statements. Learners will explore the role of accountants, budgeting and budgetary control, and financial markets, while also gaining a strong foundation in financial risk management and investment strategies. With a focus on analytical skills, the course will help learners develop a deeper understanding of financial operations and decision-making. By the end of the course, participants will be well-equipped to analyse financial data, manage risks, and apply their knowledge in a range of financial contexts. Accounting and Finance Curriculum: Module 01: Introduction to Accounting and Finance Module 02: The Role of an Accountant Module 03: Accounting Process and Mechanics Module 04: Introduction to Financial Statements Module 05: Financial Statement Analysis Module 06: Budgeting and Budgetary Control Module 07: Financial Markets Module 08: Financial Risk Management Module 09: Investment Management Module 10: Auditing (See full curriculum) Who is this course for? Individuals seeking to gain a solid understanding of accounting and finance. Professionals aiming to develop their financial management skills. Beginners with an interest in the finance or accounting industries. Those looking to transition into a finance-focused career. Career Path: Accountant Financial Analyst Budget Analyst Investment Advisor Risk Manager Auditor Finance Manager Banking and Financial Services

Digital Marketing - Growth Hacking Techniques - Online Course Course Overview: This course provides an in-depth exploration of growth hacking techniques within the context of digital marketing. Learners will gain a comprehensive understanding of the fundamental principles of digital marketing, coupled with strategic insights into growth tactics. The course is designed to help professionals leverage innovative marketing strategies to drive business growth, enhance customer acquisition, and optimise digital presence. By the end of this course, learners will have the skills to implement growth hacking techniques that can rapidly scale businesses while maintaining a sustainable growth trajectory. Course Description: "Digital Marketing - Growth Hacking Techniques" delves into key topics like customer journey mapping, content marketing, and SEO, alongside exploring niche areas such as mobile, email, and social media marketing strategies. Learners will study effective methods for increasing brand visibility, generating leads, and retaining customers across various digital platforms. Emphasis is placed on understanding how to employ data-driven insights to optimise marketing efforts. By the end of the course, participants will be equipped to implement digital marketing strategies that yield measurable business growth in highly competitive online environments. The course content ensures that learners develop the skills necessary to handle dynamic marketing challenges and grow a business in an increasingly digital world. Digital Marketing - Growth Hacking Techniques - Online Course Curriculum: Module 01: Fundamentals of Digital Marketing Module 02: Growth Hacking Module 03: Customer Journey Module 04: Content Marketing Module 05: SEO Module 06: E-Mail Marketing Module 07: Facebook Marketing Module 08: Instagram Marketing Module 09: Twitter Marketing Module 10: YouTube Marketing Module 11: Mobile Marketing (See full curriculum) Who is this course for? Individuals seeking to expand their digital marketing expertise. Professionals aiming to enhance their marketing strategies and career prospects. Beginners with an interest in growth hacking and digital marketing. Entrepreneurs looking to scale their businesses using effective digital techniques. Career Path: Digital Marketing Manager Growth Hacker Social Media Manager Content Strategist SEO Specialist Email Marketing Specialist Brand Manager

Learn with Case Study - Market Research Course Overview: This course, "Learn with Case Study - Market Research," provides an in-depth understanding of the principles and techniques used in market research. It is designed to equip learners with the knowledge necessary to assess market trends, consumer behaviour, and competitive landscapes effectively. Through the use of real-world case studies, participants will gain valuable insights into the application of market research methodologies in various industries. By the end of the course, learners will be able to conduct research, analyse data, and make informed decisions that drive business strategies and growth. This course is ideal for those seeking to enhance their market research skills and apply them to professional practice. Course Description: In this course, learners will explore the core concepts of market research, including data collection, analysis techniques, and the interpretation of findings. The course integrates case studies to demonstrate how these methods are applied in real-life scenarios across different sectors. Key topics covered include survey design, focus groups, consumer behaviour analysis, and competitor research. Learners will develop the ability to evaluate and synthesise market data to inform strategic business decisions. The course encourages critical thinking, data interpretation, and strategic application, ensuring that learners can effectively utilise market research to support business objectives. By the end of the course, participants will have the skills to execute comprehensive market research projects. Learn with Case Study - Market Research Curriculum: Module 01: Introduction to Market Research Module 02: Data Collection Techniques Module 03: Case Study: Market Research in Action Module 04: Data Analysis and Interpretation Module 05: Consumer Behaviour and Market Segmentation Module 06: Reporting and Presenting Research Findings (See full curriculum) Who is this course for? Individuals seeking to improve their market research skills. Professionals aiming to enhance their strategic decision-making abilities. Beginners with an interest in understanding market dynamics. Those working in marketing, sales, or business strategy roles. Career Path: Market Research Analyst Marketing Manager Business Development Specialist Consumer Insights Analyst Data Analyst

Leadership Skills Training Course Overview This Leadership Skills Training course is designed to equip learners with the essential skills and knowledge required to lead effectively in today's dynamic work environments. The course covers core leadership concepts and strategies, from foundational tips to advanced techniques for enhancing leadership effectiveness. Learners will gain valuable insights into leadership styles, decision-making, team management, and motivating others. By the end of the course, participants will be able to apply these leadership skills to foster collaboration, drive performance, and navigate challenges with confidence. The course is ideal for individuals looking to enhance their leadership abilities and prepare for higher levels of responsibility in their careers. Course Description This comprehensive Leadership Skills Training course provides learners with a deep dive into the key principles of leadership. It covers topics such as foundational leadership concepts, cutting-edge leadership techniques, and strategies to elevate one's leadership approach at various levels. The course also explores practical leadership applications, including how to handle challenges, inspire teams, and make informed decisions. As learners progress through the modules, they will develop a well-rounded leadership style, suitable for managing diverse teams, resolving conflicts, and driving organisational success. The course concludes with insights for wise leadership, emphasising long-term growth and sustainable leadership practices. Participants will leave with the confidence and expertise to step into leadership roles across multiple industries. Leadership Skills Training Curriculum Module 01: Introduction Module 02: Foundational Concepts For Leaders Module 03: Powerful Cutting-Edge Leadership Tips - Foundational Module 04: Powerful Cutting-Edge Leadership Tips - Intermediate Module 05: Powerful Cutting-Edge Leadership Tips - Advanced Module 06: Final Thoughts For Wise Leaders (See full curriculum) Who is this course for? Individuals seeking to enhance their leadership capabilities. Professionals aiming to advance in leadership roles. Beginners with an interest in leadership and management. Managers looking to improve their leadership effectiveness. Career Path Team Leader Department Manager Project Manager Operations Manager Senior Leadership Roles

Marketing Secrets for High Sales Course Overview "Marketing Secrets for High Sales" is a dynamic course designed to equip learners with advanced strategies for driving sales success. Throughout the course, participants will explore cutting-edge marketing techniques, tools, and insights that have proven effective in boosting sales across various industries. By the end of the course, learners will understand how to craft compelling marketing strategies, leverage customer psychology, and implement tactics that consistently lead to high sales conversions. The course is structured to provide learners with both the theoretical knowledge and actionable skills needed to excel in a competitive market. Course Description This course delves into a wide range of topics including sales funnel optimisation, creating persuasive marketing messages, targeting the right audience, and leveraging digital platforms for maximum impact. Learners will explore the intricacies of consumer behaviour, the role of brand positioning, and the importance of data-driven decision-making. By engaging with the course materials, participants will gain in-depth insights into the strategies that fuel high sales numbers and discover how to adapt these methods to suit their unique business goals. The course is designed to offer a structured learning experience, ensuring that all essential concepts are covered and applicable to real-world scenarios. Marketing Secrets for High Sales Curriculum Module 01: Understanding Sales Psychology Module 02: Crafting Compelling Marketing Campaigns Module 03: Leveraging Social Media for High Sales Module 04: Data-Driven Marketing Techniques Module 05: Email Marketing for Conversion Optimisation Module 06: Building Brand Loyalty to Drive Long-Term Sales Module 07: Advanced Sales Funnel Strategies (See full curriculum) Who is this course for? Individuals seeking to enhance their marketing knowledge and skills. Professionals aiming to boost their sales strategies and performance. Beginners with an interest in learning the principles of high sales. Entrepreneurs and business owners looking to optimise their marketing efforts. Career Path Marketing Manager Sales Director Digital Marketing Specialist Brand Strategist Sales Consultant