18560 Basic courses delivered Online

Enter the exciting world of commerce with our "Business (Development, Management and Marketing)" course bundle. This remarkable package consists of 3 QLS-endorsed courses - 'Business Development', 'Business Management', and 'Marketing Strategies for Business', each offering a prestigious hardcopy certificate upon completion. But the journey doesn't end there! We've included 5 CPD QS accredited courses covering key areas of business - 'Diploma in Business Analysis', 'Business Plan', 'Basic Business Finance', 'Digital Marketing Business Tips', and 'Basic Business Communication Skills'. Together, these eight courses provide comprehensive theoretical knowledge, laying the groundwork for your success in the business sphere. Key Features of the Business (Development, Management and Marketing) Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Business (Development, Management and Marketing) bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Business Development QLS Course 02: Business Management QLS Course 03: Marketing Strategies for Business 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Diploma in Business Analysis Course 02: Business Plan Course 03: Basic Business Finance Course 04: Digital Marketing Business Tips Course 05: Basic Business Communication Skills In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Business (Development, Management and Marketing) courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Develop a comprehensive understanding of business development and management. Master the intricacies of marketing strategies for business success. Gain theoretical knowledge on conducting effective business analysis. Learn to develop compelling business plans that attract investment. Understand the basics of business finance to ensure financial health. Obtain insights into digital marketing tactics for today's digital era. This bundle is a comprehensive collection of courses that have been meticulously designed to provide you with a well-rounded education in Business (Development, Management and Marketing). With a combination of 3 QLS-endorsed courses and 5 CPD QS-accredited courses, this bundle offers you the perfect balance of essential knowledge and valuable skills. What's more, we are proud to offer free hardcopy certificates for each course within the bundle, giving you the recognition you deserve. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Career path Business Development Manager - £30,000-£70,000 Marketing Manager - £25,000-£60,000 Project Manager - £25,000-£60,000 Operations Manager - £25,000-£50,000 Sales Manager - £25,000-£50,000 Brand Manager - £25,000-£45,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

VueJS has rapidly gained popularity as one of the most widely used JavaScript frameworks, known for its approachability. In this course, you will delve into the fundamentals of VueJS, including its setup process and the underlying principles that make it work. Through practical application, you will reinforce your understanding by developing a practice project, specifically designed for this course. Prior knowledge of basic JavaScript, as well as familiarity with HTML and CSS, is recommended.

Leading Cross-Cultural Virtual Teams: In-House Training High-performing teams are a must in this world of intense competition and higher expectations. Global virtual teaming has become a necessity as organizations become increasingly distributed and suppliers and clients actively engage in joint projects. Teams work across geographical and organizational boundaries to deliver solutions and services to global users where distance and differences, both geographic and cultural, amplify the effect of issues and factors that are relatively straightforward when managing a team of people in the same location. This course delivers practical concepts and techniques that participants will start using immediately on their global projects. What you will Learn At the end of this program, you will be able to: Define relationships among foundational concepts (leadership and three dimensions of diversity) and explain their potential impacts on project performance Describe key components of successful project leadership and build selected Transformational Leadership skills Prepare to convert project challenges stemming from personal or cultural diversity into potential competitive advantage Implement selected best practices to meet key challenges facing virtual project teams Foster and grow an environment that supports continued success for CCVTs Foundation Concepts Basic definitions Critical success factors for leading cross-cultural virtual teams (CCVTs) A roadmap to success for leading CCVTs Leadership Excellence in Any Project Environment Leading effectively in a global environment Transformational leadership The four components of Transformational Leadership Leveraging Personal Diversity Overview of personal diversity Mind styles The theory of multiple intelligences Connecting Transformational Leadership and personal diversity Embracing Cultural Diversity Introduction to cultural intelligence The impact of culture Cultural Dimensions Theory The Culture Map Managing Virtual Diversity Overview of virtual diversity Virtual time management Virtual processes and technology Virtual leadership Creating an Environment for Success Supporting a cross-cultural virtual-team (CCVT-) friendly environment Building a foundation of trust Developing a team charter Recap and review Summary and Next Steps Personal action plan

Learn the fundamentals of project finance modeling following best practices.

If you’re looking to start a career in JavaScript coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before. Early on in the course, you’ll learn what coding is, what certain types of languages are used for, specifically JavaScript, and the types of careers available through learning JavaScript.

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

About this Training Course Reservoir engineering methods, data and models are used in the E&P business to describe and optimise hydrocarbon recovery. This 5 full-day course addresses reservoir engineering concepts and methods to enable cross-disciplinary team work and the smooth exchange of ideas and experience. In this course, participants will gain an in-depth understanding of the fundamentals of reservoir engineering and a broad range of modern reservoir engineering principles and practices for reservoir development and production, including the estimation of oil and gas reserves. The topics covered in this course will be illustrated with practical and actual field cases. Some self-study or reading will be required from participants. Training Objectives By the end of this course, participants will be able to: Describe use of permeability and fluid saturation in reservoir engineering. Explain the assessment of hydrocarbon resources and recoverable reserves estimation. Understand analysis and modelling of fluid behaviour. Explain oil and gas reservoir performance. Describe material balance methods in oil and gas reservoirs. Understand design and analysis of well tests. Understand analysis and production of producing wells and forecasting methods. Describe fluid displacement at the pore and reservoir scale. Explain reservoir simulation approaches. Describe tools for handling the uncertainty in reservoir analysis. Describe various recovery methods from primary to enhanced recovery. Target Audience This course is intended for professionals with prior technical or engineering exposure to exploration and production activities. Targeted participants include geoscientists, production engineers, petrophysicists and petroleum engineers involved with exploration and development of oil & gas reservoirs. The course will also benefit petroleum engineering team leaders as well as IT staff and support staff who work with reservoir engineering, development and production departments. Course Level Basic or Foundation Trainer Your expert course leader is an independent Reservoir Engineering Consultant, providing project consultancy and reservoir engineering training for global customers. He retired from Shell in 2012 and during the last years of his Shell career, he held the Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead positions. He is a seasoned Petroleum Engineering professional, with global experience in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). His technical expertise is in reserves and resource management, reservoir engineering quality assurance, and staff development as well as carbonate reservoirs, modelling and reservoir simulation.  PROFESSIONAL EXPERIENCE 2012 to date Independent Reservoir Engineering Consultant Petroleum and reservoir engineering advice, training and services. Reservoir engineering training for major oil companies, engineering firms and other global customers. Assurance of SPE and SEC reserves compliance. Participation in SPE reserves and resources estimation Advanced Technology Workshops both as an organising committee member and as session speaker.   2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for Shell business units and joint ventures in the Middle East Region Assurance of SEC and SPE compliance of reserves and resources. Industry publications and conference contributions a.o. SPE guidelines on probabilistic reserves estimation.   2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for Reservoir Engineering in global projects and for staff planning and development (over 60 international Reservoir Engineers).   2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Applications and Research / Shell Representative Office Oman   Petroleum Engineering Manager PE Manager in the Carbonate Research Centre, a joint venture between Sultan Qaboos University in Oman and Shell International. Industrial research projects and teaching on recovery aspects of carbonate reservoir development.   1997 - 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir Engineer Coordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria).   1992 - 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Advanced PE training events, QA/QC, design and delivery of courses to Shell staff.   1985 - 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Reservoir simulation, integrated reservoir modelling and gas field development and major contributor to the Shell internal Gas Field Planning Tool development. Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt.   1984 - 1985 Geological Survey of the Netherlands, Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management.   1976 - 1984 NAM, Assen, The Netherlands and SSB/SSPC, Miri, Malaysia Wellsite Operations Engineer / Operational Reservoir Engineer POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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)

Explaining the background to Legionella and Legionnaires’ Disease, the potential risks associated with water systems and how these can be prevented or controlled.