A practical and inspiring women’s development coaching workshop giving you time to reflect and focus on yourself and what’s important to you.
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The IAPP offers the most encompassing, up-to-date and sought-after global training and certification program for privacy and data protection. The Certified Information Privacy Professional (CIPP) helps organizations around the world bolster compliance and risk mitigation practices, and arms practitioners with the insight needed to add more value to their businesses. Skilled privacy pros are in high demand and IAPP certification is what employers want. When you earn an IAPP credential, you earn the right to be recognized as part of an elite group of knowledgeable, capable and dedicated privacy professionals. With the GDPR effective as of May 2018, among its mandates was the requirement to appoint knowledgeable DPOs (data protection officers) tasked with monitoring compliance, managing internal data protection activities, training data processing staff, conducting internal audits and more. There's a lot to know, there's a lot at stake and there's a lot of opportunity for privacy professionals with the right training and education. Achieving a CIPP/E credential shows you have the comprehensive GDPR knowledge, perspective and understanding to ensure compliance and data protection success in Europe-and to take advantage of the career opportunity this sweeping legislation represents. About This Course Delivered in a Modular format, the course includes; Module 1: Data Protection Laws Introduces key European data protection laws and regulatory bodies, describing the evolution toward a Harmonised European Legislative Framework. Module 2: Personal Data Defines and differentiates between types of data-including personal, anonymous, pseudo-anonymous and special categories. Module 3: Controllers and Processors Describes the roles and relationships of controllers and processors. Module 4: Processing Personal Data Defines data processing and GDPR processing principles, Explains the application of the GDPR and outlines the legitimate bases for processing personal data. Module 5: Information provision Explains controller obligations for providing information about data processing activities to data subjects and Supervisory Authorities. Module 6: Data Subjects 'Rights Describes data subjects' rights, applications of rights and obligations controller and processor. Module 7: Security or Processing Discusses considerations and duties of controllers and processors for Ensuring security of personal data and providing notification of data breaches. Module 8: Accountability Investigates accountability requirements, data protection management systems, data protection impact assessments, privacy policies and the role of the data protection officer. Module 9: International Data Transfers Outlines options and obligations for transferring data outside the European Economic Area, Decisions adequacy and appropriateness safeguards and derogations. Module 10: Supervision and Enforcement Describes the role, powers and procedures or Supervisory Authorities; the composition and tasks of the European Data Protection Board; the role of the European Data Protection Supervisor; and remedies, liabilities and penalties for non-compliance. Module 11: Compliance Discusses the applications of European data protection law, legal bases and compliance requirements for processing personal data in practice, employers-including processing employee data, surveillance, direct marketing, Internet technology and communications and outsourcing. Prerequisites There are no prerequisites for this course but candidates would benefit from reading the freely available materials found on the IAPP website. What's Included? 1 years membership of the IAPP Breakfast, Lunch and refreshments (Classroom courses only) Official Study Guide (European Data Protection, Law & Practice)* Participant Guide* Official Exam Q&A* Official Practice Exam Official Practice Exam* The Exam Fees * In electronic format for Live Online and hard copy for Classroom delegates Who Should Attend? The CIPP/E is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration, including those in the following positions: Cybersecurity Analysts Data Analysts Security Administrators Aspiring Data Protection Officers Accreditation Our Guarantee We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.
Make a difference in your organization and in your career. The CIPM designation says that you're a leader in privacy program administration and that you've got the goods to establish, maintain and manage a privacy program across all stages of its lifecycle. The CIPM is the world's first and only certification in privacy program management. When you earn a CIPM, it shows that you don't just know privacy regulations-you know how to make it work for your organization. In other words, you're the go-to person for day-to-day operations when it comes to privacy. Developed in collaboration with the law firms, Bird and Bird, Field Fisher, Wilson/Sonsini and Covington and Burling, the CIPM encompasses pan-European and national data protection laws, key privacy terminology and practical concepts concerning the determination of control measures designed to protect personal data and trans-border data flows. About This Course Delivered in a modular format, the course covers; Module 1: Introduction to privacy program management Identifies privacy program management responsibilities, and describes the role of accountability in privacy program management. Module 2: Privacy governance Examines considerations for developing and implementing a privacy program, including the position of the privacy function within the organization, role of the DPO, program scope and charter, privacy strategy, support and ongoing involvement of key functions and privacy frameworks. Module 3: Applicable laws and regulations Discusses the regulatory environment, common elements across jurisdictions and strategies for aligning compliance with organizational strategy. Module 4: Data assessments Relates practical processes for creating and using data inventories/maps, gap analyses, privacy assessments, privacy impact assessments/data protection impact assessments and vendor assessments. Module 5: Policies Describes common types of privacy-related policies, outlines components and offers strategies for implementation. Module 6: Data subject rights Discusses operational considerations for communicating and ensuring data subject rights, including privacy notice, choice and consent, access and rectification, data portability, and erasure and the right to be forgotten. Module 7: Training and awareness Outlines strategies for developing and implementing privacy training and awareness programs. Module 8: Protecting personal information Examines a holistic approach to protecting personal information through privacy by design. Module 9: Data breach incident plans Provides guidance on planning for and responding to a data security incident or breach. Module 10: Measuring, monitoring and auditing program performance Relates common practices for monitoring, measuring, analyzing and auditing privacy program performance The CIPM body of knowledge outlines all the concepts and topics that you need to know to become certified. The exam blueprint gives you an idea of how many questions from each topic area you can expect on the exam. Prerequisites There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site What's Included? Breakfast, Lunch and refreshments (Classroom based courses only) The Official Study Guide (Privacy Programme Management - Third Edition)* Official Exam Q&A's* Official Practice Exam Participant Guide* 1 years membership of the IAPP The Exam Fees * In electronic format for Live Online and hard copy for Classroom delegates Who Should Attend? The CIPM is ideal for IT and information security leaders responsible for developing Data Protection frameworks and applying best practice, including those in the following positions: Data Analysts Cyber Security Analysts and Managers Aspiring Data Protection Officers IT Managers Accreditation Our Guarantee We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.
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Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)