124 Statistics courses in Whetstone delivered Live Online

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 3 Days 18 CPD hours This course is intended for Ideal candidates are Network Administrators who monitor and troubleshoot wireless networks, and Network and System Administrators responsible for installing and configuring network monitoring systems. Overview This hands-on course prepares you with the knowledge and experience required to install and use the AirWave Wireless Management Suite: AirWave Management Platform (AMP), RAPIDS, Visual RF, network health diagnostics, client troubleshooting, alerts and reporting.  In this course, you learn about AirWave?s capabilities in troubleshooting network health and client status via the various stages of association and authentication, as well as redundancy and master consoles for large networks. Introduction to AWMS Airwave Platform. Features and Benefits of AMP RAPIDS and Visual RF. Airwave products. Basic operations using AWMS Installing AWMS Installing AMP. Hardware requirements. Cent OS and AWMS software. Basic configuration steps. Upgrade AWMS software. Licensing AWMS. AWMS documentation Adding Device to AWMS Folders and Groups. Adding devices general process. Manually adding devices. Device discovery and managing device discovery. Moving a device to a folder. Troubleshooting IAP Organizaion and Groups Overview of IAP.Airwave integration. Golden configuration. IAP Organization options. IAP Whitelist Using Visual RF and Visual RF Plan Navigation. Setup. Heat-maps and location information. Import floorplan graphics. Plan deployments. Provision APs. Manage Visual RF performance Network Health Diagnostics page indicators. Network performance tabs. Source of issues. Network issues Troubleshooting Clients and Wireless Networks Searching for users and Diagnostics tab. Client issues. Network issues. AP issues. Switch/Controller issues. General Issues Rogue Detection and Using RAPIDS Why use RAPIDS. Threat Detection Methods. Rules. Classifications. IDS Events Report. New Rogue Devices Report. Visualization. PCI Compliance.WMS Offload Managing Administrative Access, Alerts, Triggers and Reporting Configure role-based administrative use access to the AMP system. Triggers. Alerts. Define and generate reports Scalability and Redundancy VM Redundancy. Failover for Redundancy. Master Console for large deployments. Multiple AMP Server deployments. Large Deployment example System Administration AMP Maintenance. Device Maintenance Wired Device Management Monitoring wired devices in AWMS. Wired device port and interface information. Wired device bandwith statistics and counters. Managing and configuring wired devices via AWMS templates AirWave Aruba Groups How AWMS configures devices. Using groups to control policies. Creating and controlling groups. Basic Group Design.Configuration Audits IAP Template Configuration Fetching a Template. Template Variables. Templates Configuration IAP GUI Configuration Golden configuration. GUI mode. GUI configuration Additional course details: Nexus Humans Managing Campus Networks with Aruba AirWave, Rev. 19.21 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 Managing Campus Networks with Aruba AirWave, Rev. 19.21 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 description Sage 50 Accounting / Bookkeeping Training - Fast Track Overview Want to open the door to working in Finance and Accountancy Industry? Starting Sage Line 50 Accounting Fast Track Training course will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Get a new direction for your career in Accountancy, according to statistics, the average salary for Accountants is £50,000 (Source: Reed), it is the sector where the employability rate is higher than any other sector. With the right skills and practical experience, you would be able to fast track your career in Accountancy and exactly that's where Osborne Training can fill the gap. The intensive programmes include all the skills required to fast track your career in professional Accountancy. Duration 6 Weeks Study Options Classroom Based - Osborne Training offers Daytime or Weekend sessions for Sage 50 Bookkeeping Training Course from London Campus. Online Live - Osborne Training offers online Evening sessions for Sage 50 Bookkeeping Training Classes through the Virtual Learning Campus. Distance Learning - Self Study with Study Material and access to Online study Material through Virtual Learning Campus. Certification You will receive a certificate from Osborne Training once you finish the course. You have an option to get an IAB Certificate subject to passing the exams. What qualification will I gain? You could Gain the following IAB qualifications provided that you book and register for IAB exams and pass the exams successfully: IAB Level 1 Award in Computerised Bookkeeping (QCF) 500/9405/1 IAB Level 2 Award in Computerised Bookkeeping (QCF) 500/9261/3 IAB Level 3 Award in Computerised Bookkeeping (QCF) 500/9407/5 Awarding body International Association of Book-Keepers Sage 50 accounts Course Syllabus Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Stock Valuation, Stock Control, Work in Progress and Finished Goods Prepare and Produce Final Accounts Extended Trial Balance Exporting Data including Linking to Other Systems Management Information Reports Making Decisions with Reports Using Sage Prepare and Process Year End Accounts and Archive Data Final Accounts for Partnerships including Appropriation Accounts The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Why Study AAT Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000, it is the sector where the employability rate is higher than any other sector. Whether you're a school leaver, already employed or simply looking for a career change a career in accountancy could be a real option for you. What is AAT? The AAT is an internationally recognised accounting qualification and over 100,000 people are currently benefiting from gaining an AAT qualification and full AAT membership. Gaining the qualification will help you support yourself throughout your accountancy career. What are the benefits after I finish AAT Courses? A newly qualified AAT member can expect to earn an average of £21,600. Moreover, the AAT member will have been earning throughout their training and will have avoided student debt. Accounting technicians work at all levels of finance and accounting, depending on the level of their career. Some accounting technicians work as accounts clerks, others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become Accredited. AAT Qualification AAT provides a range of accounting and bookkeeping qualification. If you prefer to pursue your career as an accountant you may choose to go for AAT Accounting qualification. However, if you prefer to build your career as a bookkeeper, you may choose to go for AAT Bookkeeping qualification. Osborne Training is an AAT Approved Training Provider with centres in London , Watford, Birmingham and various other locations. In taking the Association of Accounting Technicians qualification with our Institute, you will make one of the greatest decision of your career. AAT Accounting Courses First of all, the AAT qualification consists of four progressive qualification levels (1, 2, 3 & 4) which will cover the key areas of Financial Accounting, Management Accounting, Taxation, Audit and Report Writing. Although you can start from Level 1, you may start from Level 2 if you have basic math and numeracy skills. In order to complete the full AAT Accounting qualification and gain full membership of the AAT, you will need to complete Level 3 and Level 4. Level 2 is recommended as an entry-level if you have no experience or knowledge of accounting and bookkeeping. The AAT qualification for accounting is broken down into three levels: AAT Level 2 Foundation Certificate in Accounting (5 Papers/Subjects) AAT Level 3 Advanced Diploma in Accounting (6 Papers/Subjects) Finally AAT Level 4 Professional Diploma in Accounting (6 Papers/Subjects) Hence, the AAT Accounting Qualification gives you practical, internationally recognised finance and accountancy skills that can open doors for you in any industry across the world. Finally, AAT offers a range of benefits for student members (including study support, career advice to help find the perfect job and exclusive discounts), as well as a route to progress into chartered accountancy. Moreover, if you choose to further your studies with any of the leading chartered accountancy professional bodies like ACCA, CIMA, CIPFA etc. your AAT qualification could make you eligible for generous exemptions.

AAT Training: Why Study AAT? Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000, it is the sector where the employ-ability rate is higher than any other sector. Whether you're a school leaver, already employed or simply looking for a career change a career in accountancy could be a real option for you. What is AAT? The AAT is an internationally recognised accounting qualification and over 100,000 people are currently benefiting from gaining an AAT qualification and full AAT membership. Gaining the qualification will help you support yourself throughout your accountancy career. What are the benefits after I finish AAT Courses? A newly qualified AAT member can expect to earn an average of £21,600. Moreover, the AAT member will have been earning throughout their training and will have avoided student debt. Accounting technicians work at all levels of finance and accounting, depending on the level of their career. Some accounting technicians work as accounts clerks, others go on to become managing directors or finance directors of well-known companies. Some go to work as a self-employed accountant as AAT allows the student to become Accredited. Professional or Industry specific qualification. AAT Qualification AAT provides a range of accounting and bookkeeping qualification. If you prefer to pursue your career as an accountant you may choose to go for the AAT Accounting qualification. However, if you prefer to build your career as a bookkeeper, you may choose to go for the AAT Bookkeeping qualification. Osborne Training is an AAT Approved Training Provider with centres in London, Watford, Birmingham and various other locations. By taking the Association of Accounting Technicians qualification with our Institute, you will make one of the greatest decision of your career. AAT Accounting Courses First of all, the AAT qualification consists of four progressive qualification levels (1, 2, 3 & 4) which will cover the key areas of Financial Accounting, Management Accounting, Taxation, Audit and Report Writing. Although, you can start from Level 1, you may start from Level 2 if you have basic math and numeracy skills. In order to complete the full AAT Accounting qualification and gain full membership of the AAT, you will need to complete Level 3 and Level 4. Level 2 is recommended as an entry-level if you have no experience or knowledge of accounting and bookkeeping. The AAT qualification for accounting is broken down into three levels: AAT Level 2 Foundation Certificate in Accounting (5 Papers/Subjects) AAT Level 3 Advanced Diploma in Accounting (6 Papers/Subjects) Finally AAT Level 4 Professional Diploma in Accounting (6 Papers/Subjects) Hence, the AAT Accounting Qualification gives you practical, internationally recognised finance and accountancy skills that can open doors for you in any industry across the world. Finally, AAT offers a range of benefits for student members (including study support, career advice to help find the perfect job and exclusive discounts), as well as a route to progress into chartered accountancy. Moreover, if you choose to further your studies with any of the leading chartered accountancy professional bodies like ACCA, CIMA, CIPFA etc. your AAT qualification could make you eligible for generous exemptions.

Look at some of the more advanced planning features available in Project. Course overview Duration: 1 day (6.5 hours) Our Project – Advanced Planning and Control course looks at advanced planning and resourcing techniques in Microsoft Project and how to customise your schedule to give better visibility and flexibility. The course is designed for experienced users of Project who have attended our Project Planning and Control introduction course or have equivalent knowledge. You must be confident using Project to build and resource schedules and create task dependencies. Objectives  By the end of the course you will be able to: Work with different types of task Amend resource load on a task Work with multiple resource rates Create custom tables Add custom fields Create calculated fields Add drop down lists in fields Filter and extract information Create new views Export information Content Advanced planning techniques Splitting tasks Task types Spreading work across activities Advanced resourcing techniques Resource types Assignment views Effective dates Work contours Overtime work Using multiple resource rates Creating custom tables Customising tables Adding fields Creating custom fields Adding text, number, date and time fields Using flag fields Defining pick lists Renaming custom fields Creating calculated fields Creating formulas Using graphical indicators Uploading and tracking progress Completing work Completing work per resource Updating tasks Updating the project Working with the status date Rescheduling work Viewing baseline against schedule Project overview statistics Working with filters Building standard filters Building interactive filters Task and resource filters Using highlight filters Creating custom views Creating customised views Customising text styles Using grouping techniques Exporting information Exporting to Excel

Created for SENDCos, SLTs, EWOs, Wellbeing Mentors, teachers and whole-school staff, our three hour training programme has been developed to enhance awareness of the challenges neurodivergent pupils and students experience within school and the factors that contribute to emotionally-based school avoidance (EBSA). Written to include contributions from parents and professionals, this interactive session identifies potential barriers to attendance, offers practical tools and strategies to break the EBSA cycle and explores simple but effective adjustments to help students reintegrate and access their education. Programme outline: What EBSA is (and what it's not...)home, individual and school related factors that may contribute towards EBSA EBSA research, studies and statisticsprevalence of neurodivergent students experiencing EBSA Impacts of EBSAon the student's education, wellbeing and future prospectswider impacts on parents and carers Common ND related barriers to attendance:Executive functioning difficultiesSensory processing difficultiesCommunication difficultiesSocial relationship difficultiesRigidity of thought and difficulties adapting to change Breaking the Cycle to prevent, minimise and manage EBSA:Spotting early/subtle signsWorking collaboratively with students/parents and carers/teachers and staffEffective information gatheringCreating a flexible, individual, person-centred support plan Communicating the plan Monitor and review This programme is delivered live, online via Zoom and, on completion, each participant will receive a certificate of attendance. If you have any questions, please ask and we will be happy to help.

Duration 2 Days 12 CPD hours This course is intended for This program is designed for students who have attended successfully the IJOS and JRE courses (prior to April 1, 2017) or the IJOS course (since April 3, 2017) and are working toward JNCIA-JUNOS certification. Overview The objectives for this course follow the requirements for the current JNCIA-JUNOS. At the end of this course, the successful student will be able to: Identify the concepts and functionality of various fundamental elements of networking Identify the concepts, benefits and functionality of the core elements of the Junos OS Identify the concepts, operation and functionality of the Junos user interfaces Identify the main elements for configuring Junos devices Describe how to configure basic components of a Junos device Identify methods of monitoring and maintaining Junos devices Describe monitoring and maintenance procedures for a Junos device Identify basic routing concepts and functionality for Junos devices Describe how to configure and monitor basic routing elements for a Junos device Identify the concepts and functionality of routing policy and firewall filters on Junos devices Describe how to configure and monitor routing policies and firewall filters on a Junos device Apply knowledge of Junos operating system configuration, operations, and functionality to real-world scenarios This intense, two-day program is designed to prepare attendees who have previously taken the Introduction to the Junos Operating System (IJOS) course for taking the certification exam while simultaneously gaining insight into real-world applications Session 1: Practice Labs Guided practice labs to reintroduce the lab environment Session 2: Real-World Scenario Labs Labs that emulate real-world application of JNCIA-level knowledge, configurations, operations, and functionality. These labs will challenge students to complete scenario-based problems to accomplish specific network goals. Session 3: Networking Fundamentals Collision domains and broadcast domains Function of routers and switches Optical network fundamentals ? SONET/SDH, OTN Ethernet networks Layer 2 addressing, including address resolution IPv4 and IPv6 fundamentals Layer 3 / IP addressing, including subnet masks Subnetting and supernetting Decimal to binary conversion Longest match routing Connection-oriented vs. connectionless protocols Session 4: Junos OS Fundamentals Junos device portfolio ? product families, general functionality Software architecture Control and forwarding planes Routing Engine and Packet Forwarding Engine Protocol daemons Transit traffic processing Exception traffic Session 5: User Interfaces CLI functionality CLI modes CLI navigation CLI Help Filtering output Active vs. candidate configuration Reverting to previous configurations Modifying, managing, and saving configuration files Viewing, comparing, and loading configuration files J-Web ? core/common functionality Session 6: Junos Configuration Basics Initial configuration User accounts Login classes User authentication methods Interface types and properties Configuration groups Additional initial configuration elements ? NTP, SNMP, syslog, etc. Configuration archival Logging and tracing Rescue configuration Session 7: Operational Monitoring and Maintenance Show commands Monitor commands Interface statistics and errors Network tools ? ping, traceroute, telnet, SSH, etc. Real-time performance monitoring (RPM) Junos OS installation Software upgrades Powering on and shutting down Junos devices Root password recovery Session 8: Routing Fundamentals Packet forwarding concepts Routing tables Routing vs. forwarding tables Route preference Routing instances Static routing Advantages of / use cases for dynamic routing protocols Session 9: Routing Policy and Firewall Filters Default routing policies Import and export policies Routing policy flow Effect of policies on routes and routing tables Policy structure and terms Policy match criteria, match types, and actions Firewall filter concepts Firewall filter concepts Filter match criteria and actions Effect of filters on packets Unicast reverse-path-forwarding (RPF) Session 10: JNCIA-JUNOS Certification Exam The exam voucher is included in the price of the course DWWTC is a certified PearsonVUE Testing Center' Additional course details: Nexus Humans JNCIA Practicum and Exam Preparation 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 JNCIA Practicum and Exam Preparation 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.

We offer the most advanced “Certified Six Sigma Green Belt Course” as per the curriculum outline of The ASQ Body of Knowledge and accredited by top international Lean & Six Sigma accreditation bodies. Six Sigma Green Belt Deliverables: 22+ hours of Instructor-led interactive virtual classroom session on the weekend Access to 45+ hours of Module based Six Sigma lectures via LMS 100+ Toolkits and Project Templates for Analysis and Implementation Soft copy of Lean Six Sigma Green Belt Body of Knowledge Live Data-oriented project, with Scenario and Analysis Methodology 20+ Dummy Projects and Case studies for Lean Six Sigma Application Support via subject expert through telephonic discussion on the weekend Sample Questions and Examination Guide for Certification Preparation Pre and Post assignments for process groups and knowledge areas Project implementation support and Data visualization using MINITAB PRO CLSSGB certification examination anytime within the 90 days course duration Certification Validation Tool for third-party credentials validation PARTICULARS Duration (Hours) 1. Define Phase 22 2. Measure Phase 14 3. Analyse Phase 20 4. Improve Phase 7 5. Control Phase 7 Total Duration 70 (Hours) Introduction Become an expert in six sigma methodology by getting hands-on knowledge on DMAIC, Project Charter, Process Capability, FMEA, Sigma calculation, Test of Hypothesis, Control Charts, VSM, JIT using real case scenarios and real-life examples. Lean and DMAIC methodologies using live projects. The Six Sigma Certification is accredited by The Council for Six Sigma Certification. The certification also acknowledges the BOK outline of The American Society for Quality, USA. The course features world-class content with live projects and MINITAB PRO driven data analysis training with end to end support in project implementation by Master Black Belt Experts and Trainers. What is Six Sigma Certification? A person with Six Sigma certification has problem-solving abilities. Someone may gain Green Belt, Black Belt or Master Black Belt certification. The higher certification one attains, the more is the ability to solve complex organizational problems. Six Sigma certification is a process of individual’s knowledge validation using a classification system, generally referred to as "Belts" (Green Belt, Black Belt, Master Black Belt) This verification test individual commands over six sigma methodology and tools. The belt classification shows the position these certified individuals would occupy in an organizational structure and job roles. Six Sigma Green Belt training is especially for the future project leaders of Lean Six Sigma projects. We deliberately mix non-profit with profit participants. There will then be fun, useful discussions and knowledge exchanges during the training sessions. In addition, there are also many self-employed people who follow the LSS Green Belt training to increase their expertise as in a trimmer. What do you do to get the Six Sigma Green Belt certificate? Our Six Sigma Green Belt training consists of a number of components: Training: in an intensive training program you learn the background of Lean and Six Sigma and we put what we have learned into practice with different simulations. Extra: With our Body of Knowledge and whitepapers you place what you have learned in a theoretical framework. The program also contains various homework assignments, in which we focus, among other things, on the use of MINITAB PRO. Follow-up: During the training, you will receive an access code to an e-learning module. You can pass the substance again in an interactive way. Exam: On the last training day you will make the CLSSGB Green Belt exam. If you succeed, you will immediately receive the official Certified Lean Six Sigma Green Belt certification. Global Recognition of Your Certification: Agenda Overview of Six Sigma and the organizationSix Sigma and organizational goalsValue of six sigmaOrganizational goals and six sigma projectsOrganizational drivers and metricsLean principles in the organizationLean conceptsValue-streaming mappingDesign for six sigma (DFSS) methodologiesRoadmaps for DFSSBasic failure mode and effects analysis (FMEA)Design FMEA and process FMEA Define PhaseProject identificationProject SelectionProcess elementsBenchmarkingProcess inputs and outputsOwners and stakeholders Voice of the customer (VOC) Customer identificationCustomer dataCustomer requirements Project Management Basics Project charterProject scopeProject metricsProject planning toolsProject documentationProject risk analysisProject closureManagement and planning toolsBusiness results for projectsProcess performance CommunicationTeam dynamics and performanceTeam stages and dynamicsTeam roles and responsibilitiesTeam toolsTeam Communication Measure PhaseProcess analysis and documentationProbability and statisticsBasic probability conceptsCentral limit theorem, Statistical distributions, Collecting and summarizing dataTypes of data and measurement scalesSampling and data collection methodsDescriptive statisticsGraphical methodsMeasure Phase (contd E. Measurement system analysis (MSA) F. Process and performance capabilityProcess performance vs. process specificationsProcess capability studiesProcess capability (Cp, Cpk) and process performance (Pp, Ppk) indicesShort-term vs. long-term capability and sigma shift Analyze PhaseExploratory data analysisMulti-vari studiesCorrelation and linear regression B, Hypothesis testingBasics Tests for means, variances, and proportionsIntroduction to MINITAB Data analysis Improve Phase of Six SigmaDesign of experiments (DOE)Basic terms, DOE graphs, and plotsThe root cause analysisLean Tools 1. Waste elimination 2. Cycle-time reduction 3. Kaizen and kaizen blitz V1. Control PhaseStatistical process control (SPC)SPC BasicsRational subgroupingControl chartsControl planLean tools for process controlTotal productive maintenance (TPM)Visual factory Project Implementation & SupportMINITAB Practice and guidance for projectProject implementation supportTemplates and Toolkits application for Project workSupport on Data Project, Implementation and project completion BenefitsFrom the course Learn the principles and philosophy behind the Six Sigma technique Learn to apply statistical methods to improve business processes Design and implement Six Sigma projects in a practical scenario Learn the DMAIC process and various tools used in Six Sigma methodology Knowledge of Six Sigma Green Belt Professional enables you to understand real-world business problems, increase an organization's revenue by streamlining the process, and become an asset to an organization According to Villanova University, employers such as United Health Group, Honeywell, GE and Volkswagen have been actively seeking professionals with Six Sigma to fill a variety of positions The Training enhances your skills and enables you to perform roles like Quality Manager, Quality Analyst, Finance Manager, Supervisor, Quality Control, etc. According to Indeed.com, the national average salary for a Six Sigma Green Belt is $72,000 per year in the United States.   From the workshop Instructor LED training by Six Sigma Black Belt and Master Belt experts to make candidate learn the real scenario of six sigma tools and methodology Learn the principles and philosophy behind the Six Sigma method Dummy project by instructors to make candidate get a hands-on six sigma projects Downloadable Six Sigma PPT & Six Sigma PDF Industry Based case studies High-Quality training from an experienced trainer The Program extensively uses Minitab, specialized statistical software. It provides you with a thorough knowledge of Six Sigma philosophies and principles (including supporting systems and tools). Know about six sigma certification cost and six sigma green belt certification cost. Who should attend? The Six Sigma program is designed for professionals and students who want to develop the ability to lead process improvement initiatives. Six Sigma tools and process is widely used in all business processes. Six Sigma is applicable in all industry and in all functional areas. An indicative list of participants in our Green Belt program could include: Financial/business analyst Commodity manager Project manager Quality manager Production manager Production Engineer Business development manager Manufacturing process engineer Continuous improvement director Business managers or consultants Project manager/Program Manager Director or VP of operations CEO, CFO, CTO Certification On successful completion of the course and course requisites, the candidate will receive Internationally recognized Six Sigma Green Belt Certification. This course offers Six Sigma Certification Validation Tool for Employers Your Six Sigma Certification Validation Tool can be used by employers, clients and other stakeholders to validate the authenticity of your Six Sigma Certifications you have received. Using the programming code located on your certified LSSGB certification, one can see all your training and certification details online.