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TQUK Level 3 Award in Education and Training (RQF) Course Are you bored of searching the internet for a TQUK Level 3 Award in Education and Training (RQF) course? Can't manage to discover a proper course that meets all of your requirements? Don't worry, you've just discovered the solution. Take a moment to browse through this comprehensive course that includes everything you need to succeed. The TQUK Level 3 Award in Education and Training (RQF) programme is intended for individuals who want to work in education, most likely as early age instructors and trainers in a variety of contexts. This is the first step in becoming an entry-level teacher in the United Kingdom. Furthermore, the TQUK Level 3 Award in Education and Training (RQF) is accredited by TQUK, one of the leading awarding organisations in the UK! TQUK Level 3 Award in Education and Training (RQF) is the mandatory minimum qualification if you want to be a FE teacher or trainer in your chosen field in the UK. If you are thinking about getting into teaching, this TQUK Level 3 Award in Education and Training (RQF), is a great way to start. As a teacher, you can play a significant role in society and positively impact your students' lives. Currently, there is a huge demand for teaching jobs across the globe, and you know how satisfying it could be! So, if you aspire to be a changemaker, this is the ultimate course we can offer you. This TQUK Level 3 Award in Education and Training (RQF) is designed so that both freshers and those working in an educational setting can get the benefit. Further, through this course, the current teachers can achieve formal recognition of their skills. Awarding Body The TQUK Level 3 Award in Education and Training (RQF) is accredited by TQUK. A certificate from this renowned awarding body will bring you out as a highly marketable candidate within the desired industry. There is Something More for You with This TQUK Level 3 Award in Education and Training (RQF) Course. Although we understand, many of you only come to search for TQUK Level 3 Award in Education and Training (RQF) or AET courses but still here is a small gift for learners. As a course provider, we highly value our learners' needs. That is why we are giving you some relevant courses with TQUK Level 3 Award in Education and Training (RQF) Course. Because these extra teaching and training courses will benefit you. With these courses, you can further enrich your knowledge and employability skills. Here are those - **[Gift Courses]** Diploma in Special Education Needs (SEN) EYFS Teaching Diploma Early Years Level 4 Primary Teaching Diploma Level 2 Diploma for the Early Years Practitioner This TQUK Level 3 Award in Education and Training (RQF) programme will be the perfect choice for any individual to kickstart a new career. Anyone who wants to pursue a career in education will find it gratifying and enjoyable. It is a good occupation since you will not only satisfy your own growth. Also it will assist many learners in achieving theirs. It is also a high-demand business, with many schools and universities looking for qualified instructors. It is a job in which you will not only teach but also learn. The TQUK Level 3 Award in Education and Training (RQF) is a nationally recognised award for anybody who is presently teaching or training. Moreover, it will help those who desire to enter the field and get the necessary qualifications to work as a teacher or trainer. Learning Outcomes of the TQUK Level 3 Award in Education and Training (RQF)Course By the end of this course, you will be able to: Identify and perform the roles of a teacher. Explain and apply the teaching and learning approaches. Plan a training session for your learners of different backgrounds. Describe the teachers' attributes and expectations. Prepare inclusive lessons and training sessions for your students. Analyse the role, responsibilities and relationships in education and training. Prepare and administer necessary assessments for your students. Why Choose TQUK Level 3 Award in Education and Training (RQF) from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Dedicated tutor support during office hour (Monday to Friday) Course developed by industry experts. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Gift Courses. Special Note: Please be informed that apart from the initial fee, you have to pay GBP 179 when submitting assignments. The TQUK Level 3 Award in Education and Training (RQF) fulfils - Industry requirements and will help you get a full grasp of a teacher and trainer's duties and responsibilities, The boundaries imposed with regard to teaching, and how to present motivating class sessions to encourage students. By learning this TQUK Level 3 Award in Education and Training (RQF) You will learn about the role, responsibilities, and duties of a teacher. Besides, you will be able to identify the significance of your existence in your students' lives. Also, You will know how you can bring effective change to them with your influence through this TQUK Level 3 Award in Education and Training (RQF) course. Further, inclusive teaching and learning is a very important concept in an educational setting. That is why we have included this TQUK Level 3 Award in Education and Training (RQF) in our course so that you can learn. Besides, you will get an in-depth idea about how to perform an assessment. Curriculum of TQUK Level 3 Award in Education and Training (RQF) Module 01: Understanding Roles, Responsibilities and Relationships in Education and Training Understand the Teaching Role and Responsibilities in Education and Training Understand Ways to Maintain a Safe and Supportive Learning Environment Understand the Relationships between Teachers and Other Professionals in Education and Training Module 02: Understanding and Using Inclusive Teaching and Learning Approaches in Education and Training Understand Inclusive Teaching and Learning Approaches in Education and Training Understand Ways to Create an Inclusive Teaching and Learning Environment Be Able to Plan Inclusive Teaching and Learning Be Able to Deliver Inclusive Teaching and Learning Be Able to Evaluate the Delivery of Inclusive Teaching and Learning Module 03: Understanding Assessment Understand Types and Methods of Assessment Used in Education and Training Understand How to Involve Learners and Others in the Assessment Process Understand the Role and Use of Constructive Feedback in the Assessment Process Understand Requirements for Keeping Records of Assessment in Education and Training TQUK Level 3 Award in Education and Training (RQF) Qualification at a Glance Total Qualification Time (TQT - 120 Hours Guided Learning Hours (GLH) - 48 Hours Credit Value - 12 Minimum Age - 19 Purpose of the TQUK Level 3 Award in Education and Training (RQF)Qualification This TQUK Level 3 Award in Education and Training (RQF)qualification is designed to prepare learners for employment and support them to progress to a teaching role within the workplace. It has been developed for those intending to work in the post-16 education and training sector. What Skills You Will Gain from this TQUK Level 3 Award in Education and Training (RQF)Course You will gain the following marketable qualities through the Level 3 Award in Education and Training course. Different hiring managers are looking for these below-mentioned qualities. Become an expert in education and training. Learn about the teacher's role. Master the learning and teaching approaches. Increase your session planning skills. Gain knowledge in teacher expectations & attributions. Understand how to deliver inclusive sessions which engage and motivate learners. Explain roles, responsibilities, and relationships in education and training. Identify how to create assessments in education and training. ** [Free Course ] ** [Course -1] ** Diploma in Special Education Needs (SEN)** Module 1: Introduction Module 2: A Quick Overview of the New SEND Code of Practice Module 3: Legislation Related to SEN Module 4: SEN Assessments and Descriptors Module 5: Education for Children with Disabilities Module 6: Common SEN Conditions Found Within Mainstream Schools Module 7: Assessment and Planning for Children with Special Educational Needs Module 8: The Broader Children's Workforce Associated with Special Education Needs Provisions Module 9: Working with Other Professionals and Other Sources of Support and Information [Course -2] EYFS Teaching Diploma Module 1: An Overview of EYFS Module 2: Significance of Early Years in Development Module 3: Teaching Techniques Focusing EYFS Module 4: Curriculum for EYFS Teaching Module 5: EYFS Teaching Career Module 6: Fostering Learning and Development Module 7: Children Having Special Education Needs or Disabilities Module 8: Guiding Parents to the Early Years Foundation Stage Module 9: Safety Requirements Module 10: The EYFS Educational Philosophies and Privileges Module 11: The Process of Registration, Inspection, and Quality Improvement Module 12: EYFS Framework in 2021 Module 13: Finding Work as an EYFS Teacher [Course -3] Early Years Level 4 Module 1: Supporting the Emotional and Physical Well-being of Children Module 2: Equality, Diversity and Professional Partnerships Module 3: Health and Safety Legislation Module 4: Observations, Assessments and Planning Module 5: Safeguarding Children Module 6: The Early Years Foundation Stage Module 7: Managing in a Nursery Environment Module 8: Engaging in Professional Development [Course -4] Primary Teaching Diploma Module 01: Primary Education in the UK Module 02: Responsibilities, Qualifications and Skills Module 03: Initial Teacher Training Module 04: Types of Schools in the UK Module 05: Importance of Early Years in Development Module 06: EYFS Teaching Techniques Module 07: Teaching Primary English Module 08: Teaching Primary Mathematics Module 09: Teaching Primary Science, Design and Technology Module 10: Teaching Other Primary Subjects Module 11: Children Having Special Education Needs or Disabilities Module 12: EYFS Framework in 2021 Module 13: Self-Management and Dealing with Stress [Course -5] Primary Teaching Diploma TQUK Level 3 Award in Education and Training (RQF) Assessment Method In order to be eligible for the certification, you need to complete the following assessments. Three written assignments One microteaching session (Which can be submitted as a recorded video) Please note that you will be given precise instruction in the course material about writing the assignments and performing the micro-teach session. Moreover, if you face any difficulty, your tutor will be there to support you. You must submit all assignments via the online portal with full tutor support. Certification of TQUK Level 3 Award in Education and Training (RQF) Course As soon as you submit your assignments and micro-teaching video, your tutor will assess those. Based on the assessor's evaluation, you will be graded either achieved/not achieved yet. If you are in the achieved category, you will receive an accredited certificate from the renowned awarding body TQUK. Progression If you achieve this TQUK Level 3 Award in Education and Training (RQF)qualification, you could progress to: Level 3 Award in Assessing Vocationally Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 3 Award in Assessing Competence in the Work Environment Level 4 Certificate in Education and Training Level 4 Certificate for the Advanced Practitioner in Schools and Colleges Level 4 Award for Technology Enabled Educators Level 5 Diploma in Education and Training Who is this course for? Level 3 Award in Education and Training (AET) Wherever you work, this TQUK Level 3 Award in Education and Training (RQF)course is a must for you if you want to become a trainer. Besides, this TQUK Level 3 Award in Education and Training (RQF)course is also appropriate for the following. Teacher & Trainer Consultant Job Hunters & School Leavers College or University Students & Graduates Tutors & Instructors Headmasters Education Consultants Education Providers Office Clerk & Administration Assistant Educational Psychologist Lecturer or Classroom Assistant Requirements Entry Requirements for the TQUK Level 3 Award in Education and Training (RQF) There are no fixed entry requirements for attending the Level 3 Award in Education and Training course. However, you must be 19 years old or over upon certification. Besides, you must have basic ICT and time management skills. It will help you complete online written assignments. Finally, you need to demonstrate practical teaching skills via assessment work. Career path Career path TQUK Level 3 Award in Education and Training (RQF) course You can choose from a variety of professions either in teaching or training upon completion of the TQUK Level 3 Award in Education and Training (RQF)course. These include - Primary School Teacher Secondary School Teacher Further Education Teacher Private Tutor Freelance Trainer Trainer at Your Workplace Certificates Digital Certificate Digital certificate - Included

The aim of this course is to provide an overview of the principles and practice for leading and managing a portfolio of smaller projects in a multi-project / multi-task environment. It presents a range of practical methods and techniques relevant to the smaller project scenario, using exercises and case studies to show how these can be applied. The scope of the programme includes: The course also emphasises the importance of the leadership and team-working skills needed by project managers and team members in carrying out their roles. The principal training objectives for this programme are to: Explain and demonstrate the key principles of successful project management Demonstrate a range of useful project management tools and techniques Define the role, and help participants understand the skills required by, the project leader Provide a structured framework to help participants manage multiple projects Identify opportunities to improve project management within the organisation DAY ONE 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 Managing smaller projects Projects and project management Lessons from past projects; the essential requirements for success Differences between projects; characteristic project life cycles Key issues and challenges of smaller projects The multi-project world; project portfolio management 3 Project exercise Syndicate teams plan and manage a small project Review of the project exercise: What are the keys to successful management of small projects? 4 Setting up the project Getting organised Managing the definition process Identifying and managing project stakeholders Working with the customer to define the scope and agree deliverables 5 Case study 1 Defining the project scope and deliverables Syndicate teams define the scope and deliverables for a typical project 6 Project planning The importance and cost benefit of effective planning Planning the plan; deciding how detailed a plan to create Packaging the work and estimating timescales and costs Developing project / resource schedules; setting milestones for control v Identifying and managing critical path activities 7 Case study 2 Creating the project plan Syndicate teams develop and analyse the project plan DAY TWO 8 Managing project risks Identifying risks to the project outcome, timescale and cost Evaluating risks and adopting an appropriate risk strategy Defining risk ownership; keeping a simple risk log Keeping risk management up to date; staying pro-active Integrating planning and risk management 9 Project control Managing change, minimising scope creep Selecting the data needed to provide early warning of problems Monitoring performance easily with 'S' curves and slip charts Using trend forecasting to assess true project status Running project review meetings 10 Managing a multi-project portfolio Understanding the world of multiple projects Establishing ownership of project / programme management Classifying projects and creating the 'master schedule' Defining and applying project lifecycle management Resource management: essential pre-requisites and mechanisms Project prioritisation criteria and techniques; pain / gain analysis 11 Managing the multi-project team Characteristics of small project teams / part-time team membership Clarifying line and project management responsibilities Implementing effective manpower planning Establishing professional working practices in the team Developing project management competences in the team Establishing team roles and integrating team members 12 Course review and transfer planning (Course sponsor present) Identify actions to be implemented individually Identify corporate opportunities for improving project management Sponsor-led review and discussion of proposals Conclusion

Duration 3 Days 18 CPD hours This course is intended for This is an Introductory level course for experienced Linux system administrators, DevOps engineers, infrastructure automation engineers, and systems design engineers. Ideally students should have familiarity with basic Python scripting. Attendees without programming skills can follow along with the scripting portion of the labs. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner attendees will explore how to: Describe Ansible concepts and install Red Hat Ansible Engine (optional - we can pre-install is as well if desired, depending on the audience) Deploy Ansible and Configure Ansible to manage hosts and run ad hoc Ansible commands. Implement playbooks Write a simple Ansible playbook and run it to automate tasks on multiple managed hosts. Manage variables and facts Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed hosts. Implement task control; Manage task control, handlers, and task errors in Ansible playbooks. Deploy files to managed hosts Deploy, manage, and adjust files on hosts managed by Ansible. Manage large projects Write playbooks that are optimized for larger, more complex projects. Simplify playbooks with roles Use Ansible roles to develop playbooks more quickly and to reuse Ansible code. Troubleshoot Ansible Troubleshoot playbooks and managed hosts. Automate Linux administration tasks Automate common Linux system administration tasks with Ansible This lab-intensive course is geared toward those responsible for automation of configuration management; consistent and repeatable application deployment; provisioning and deployment of development, testing, and production servers; and integration with DevOps CI/CD workflows. Throughout the course you will explore core Ansible features such as automatic provisioning, configuration management, service deployment and operational processes. Ansible Overview Overview of Architecture Overview of Deployments Inventory Deploying Ansible Installing Configuration Files Running Ad Hoc Commands Dynamic Inventory Playbooks Writing YAML Files Modules Variables and Inclusions Variables Facts Inclusions Task Control Constructing Flow Control Handlers Tags Handling Errors Jinja2 Templates Jinja2 Templates Jinja2 Templates Roles Role Structure Creating Roles Deploying Roles with Ansible Galaxy Optimizing Ansible Configuring Connection Types Configuring Delegation Configuring Parallelism Ansible Vault Configuring Ansible Vault Executing with Ansible Vault Troubleshooting Ansible Troubleshooting Playbooks Troubleshooting Managed Hosts Ansible Tower Ansible Tower overview Installing Account management Hosts Jobs Optional: Ansible in a DevOps Environment Provisioning Vagrant Machines Deploying Vagrant in a DevOps Environment Deploying Docker in a DevOps Environment Additional course details: Nexus Humans Introduction to Ansible: Automation with Ansible (TTDV7580) 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 Introduction to Ansible: Automation with Ansible (TTDV7580) 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 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 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT. Overview Working within in a hands-on learning environment students will learn to: Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. Python Refresher Python Overview Python Basics Python Lab Introducing PyTest Why Spend time writing test UnitTest Module Why PyTest? Introductory Lab Writing and Running Test Installing PyTest Writing and Running Tests Organizing files and packages Command Line options Configure pytest.ini Install and Config Lab Markers and Parameters Mark Basics Built-in marks Parameterization Markers and Parameters Lab Fixtures Introduction to Fixtures Sharing fixtures with conftest.py files Scopes Autouse Parameterizing fixtures Using marks from fixtures Built-in fixtures Best Practices Fixtures Lab Fixtures Lab 2 Plugins Finding and installing plugins Overview of plugins Plugin Lab From UnitTest to PyTest Use PyTest as a Test Runner Convert asserts with unitest2pytest Handling setup/teardown Managing test hierarchies Refactoring test utilities Migration strategies Additional course details: Nexus Humans Test Automation with Python (TTPS4832) 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 Test Automation with Python (TTPS4832) 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 This is an introductory-level course for Administrators who are new to Jira (this is NOT for experienced Jira admin or users). Students should have a background in basic administration. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment, exploring several practical use cases that provide context as to where and when to use Jira, students will learn about: user management global and project permissions project roles schemes configuration of issue types, workflows, and screens Tracking issues is a critical component of any project management strategy. JIRA provides a web based single repository for creating, tracking and reporting on feature requests, bugs reported, or managing workflow. Geared for administrators new to Jira, JumpStart to Jira for Administrators | Jira Administration is a two-day, hands-on course that explores the most important tasks required to set up Jira, providing students with ample hands-on experience using common administration tasks. This hands-on course enables the Student to administer a JIRA instance and ?learn by doing?. The focus of this course is on Best Practices, and practical skills. Getting started with JIRA Administration JIRA conceptual review Core concepts Terminology Infrastructure JIRA roles Groups vs Roles Overview Project roles Creating a role Project scaling JIRA User management Project Resolution Project status Resolved status Resolution date Schemes Overview Project scope schemes Adding users to schemes Issue type schemes Notification schemes Permission schemes Issue security schemes working with schemes JIRA as a Platform Overview What can be configured Basic JIRA project setup Advanced project setup Workflows Overview Designing a workflow Defining a workflow Implementing a workflow Deploying workflows Workflow events Transitions and sub-tasks Custom Fields Overview Field types Field context Limiting contexts Adding contexts Screens and field configuration Best practices for custom fields User Lifecycle Overview Adding users Adding third-party users Modifying users Deactivating users Remote JIRA Access Overview Emails SQL REST Webhooks XML and RSS Command Line Interface Integrating JIRA with other applications Migrating Data into JIRA Overview Migration steps The CSV importer JIRA cloud migration Summary and Best Practices Looking back at the ?Big Picture? Optional - Jira Certification Prep Review Additional course details: Nexus Humans JumpStart to Jira for Administrators | Jira Administration (TTDV7540) 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 JumpStart to Jira for Administrators | Jira Administration (TTDV7540) 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.