3754 Analyst courses in Nottingham delivered On Demand

Deep Dive into Agile and Scrum - The What, Why and How to Begin as User Tomorrow: On-Demand This is not your typical Agile and Scrum 101 course. This course is designed to spend 25% of the time on "What" and "Why" behind Agile and Scrum and 75% on the "How" you can actually start using it on your team tomorrow! What You Will Learn You'll learn how to: Practice all the core Scrum practices end-to-end Implement real-world creative techniques for estimating, story identification, and prioritization Use an end-to-end example project scenario for maximum learning retention! Use YOUR company project as our sample (for private courses) Walk away with valuable course material, handouts, resources, and cheat sheets that will support you on your projects Practice real-world techniques from an experienced Agile Coach Agile Introduction and Overview The Traditional Process What is Agile? Agile Methods The Agile Process and Roles Agile Benefits / Value The Agile Team Agile Team Characteristics Agile Roles and Expectations Agile Management and Stakeholder Roles Agile Team Workspace Agile Programs and Portfolio Teams The Agile Planning & Visioning The 6 Levels of Planning Agile Planning Lifecycle Release Planning and Iteration Agile Visioning Toolkit Establishing Product Vision Agile Modeling Techniques Creating the Backlog 5 Levels of Agile Requirements User Stories INVEST Model Non-Functional Stories Acceptance Criteria How to Break Down Large Stories Release Planning and Estimating What is Release Planning? Sample Release Plan Story Points Sizing Techniques Planning Poker Complexity Buckets Affinity Sizing Planning Using Velocity Release Planning Meeting Sample Release Burn-up Chart A Day in the Life of an Agile Team Planning Meeting Design Review Daily Standup Pre-Planning User Acceptance Testing Sprint Review and Sprint Retrospective Building Healthy Agile Teams Common Challenges Facing Teams Healthy Team Structure Team Maturity Stages The 5 Dimensions of Team Health Deep Dive into Clarity, Performance, Culture, Leadership, Foundation Quantitative and Qualitative Metrics Summary and Next Steps What did we learn and how can we implement this learning in our work environment?

Overview With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be. Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Big Data Analytics , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Big Data Analytics , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1_ Introduction to Big Data. Introduction to Big Data. 00:00 Module 2_ Hadoop and MapReduce. Hadoop and MapReduce. 00:00 Module 3_ NoSQL Databases. NoSQL Databases. 00:00 Module 4_ Data Storage and Retrieval. Data Storage and Retrieval. 00:00 Module 5_ Data Processing with Spark. Data Processing with Spark. 00:00 Module 6_ Data Analysis with Hadoop and Pig. Data Analysis with Hadoop and Pig. 00:00

Agile for Non-IT Practitioners - How Agile Project Management is Different and How It Can be Used for Non-IT Projects (On-Demand) As a Project Management Institute (PMI)®Registered Education Provider (R.E.P.), IIL has agreed to abide by PMI®-established quality assurance criteria. In today's world of fast paced technology, continually changing requirements and project scope, the need for Agile Project Management has greatly increased. Responding to this demand, the Project Management Institute (PMI®) launched the PMI Agile Certified Practitioner (PMI-ACP)®certification. A result of this certification is the creation of a new space where Project Management and Agile Practices for Software Development meet. The foundation of Agile is the Agile Manifesto for Software Development. Agile has been used for software development for a number of years, even prior to the creation of the Agile Manifesto in 2001. The success of Agile for software development projects has piqued interest in successfully employing Agile in many other fields. How can Agile practices be used for projects which are not software or IT in nature? This course will provide guidance on how Agile can be used beyond software development projects, including how it differs from traditional project management. The course also will provide an overview of the Agile Scrum framework, which is one of the most popular Agile methodologies used. This course provides practical skills, concepts, and principles you can take back to the job and use to implement Agile practices in projects, as applicable. The goal of this course is to acquaint participants with the concepts of agile development methods and the specifics of the Scrum management framework. At the end of this course, participants will understand: Agile Practices - what makes Agile projects 'agile' Scrum and how Scrum applies to the Agile Practices Specific Agile practices which you can use to improve the execution of your projects Practices which can be used in conjunction with Scrum for Non-IT projects Course goal and objectives Importance of Agile development and project management What Agile is and is not Faster, better, cheaper Delivers better fit for purpose Agile versus Waterfall and the big paradigm shift Agile characteristics, behaviors, approaches Agile concerns and pitfalls Introducing Agile Overview of Agile Agile values and principles Overview of Scrum Scrum methodology Scrum terminology Scrum Framework Scrum roles Scrum meetings Sprints Requirements and Product Definition User stories Product backlog Planning Agile Estimating in Scrum Sprint planning session Release planning Agile Practices Agile development Analysis practices Validation practices Other practices Running a Sprint Conducting a Sprint Negotiating changes Tracking progress End of Spring meetings Release planning Closing the project

Agile for Non-IT Practitioners - How Agile Project Management is Different and How It Can be Used for Non-IT Projects: On-Demand This course will provide guidance on how Agile can be used beyond software development projects, including how it differs from traditional project management. The course also will provide an overview of the Agile Scrum framework, which is one of the most popular Agile methodologies used.This course provides practical skills, concepts, and principles you can take back to the job and use to implement Agile practices in projects, as applicable. The goal of this course is to acquaint participants with the concepts of agile development methods and the specifics of the Scrum management framework. What You Will Learn You'll learn how to: Describe the Agile project management process and its benefits Use project management vocabulary and terminology Identify the characteristics of a successful project Create an initial project plan Identify and perform the major aspects of project initiation, project control, and close-out Identify and describe organizational change issues in implementing project management Getting Started Course goal and objectives Introducing Agile Scrum Framework Requirements and Product Definition Planning Agile Agile Practices Running a Sprint Summary

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects

Accelerate your career in financial investigations with this robust training program. Gain mastery over the intricacies of financial crimes, evidence gathering, legal frameworks, and advanced investigative techniques. Equip yourself to produce court-ready reports and become a skilled Financial Investigator.

Overview of Forensic Engineering Investigator The field of forensic engineering investigation combines science with careful examination to find out why structures fail, machines break, or products stop working. In the UK, the need for trained professionals in this area has gone up by 15% over the last five years. When a bridge falls, a machine crashes, or a product causes harm, a Forensic Engineering Investigator is called to figure out what went wrong. This job is important because the results can affect court cases, improve safety rules, and help prevent future problems. This course is designed to train you to become a skilled Forensic Engineering Investigator. You will learn how to carry out full investigations using standard steps and proven methods. The course teaches how to collect and review evidence, follow proper procedures, and use modern tools for analysis. You’ll understand how to ask the right questions, check all the facts, and come to the right conclusions. We also include real case studies so you can see how these techniques work in the real world. By the end of the course, you’ll feel confident in your ability to write clear, professional reports that are often used in legal settings. A career as a Forensic Engineering Investigator offers interesting challenges where each task requires smart thinking, strong technical knowledge, and close attention to detail. This course helps you build all the key skills you need to grow in this important field and succeed as a Forensic Engineering Investigator. By the end of this course, you will be able to: Understand the key principles of forensic engineering and how investigations are carried out. Review and apply standard procedures for looking into engineering failures. Follow step-by-step investigation methods for real-life engineering problems. Use modern tools and techniques for forensic analysis in engineering. Write clear and professional reports used in forensic engineering investigations. Study real case examples and assess them using trusted reference materials. Who Should Take This Course This Forensic Engineering Investigator course is ideal for: Engineers who want to focus on failure analysis and investigation methods. Safety officers involved in checking and reporting engineering incidents. Insurance assessors handling claims linked to damaged machines or failed structures. Legal professionals working on cases related to engineering faults. Technical consultants who need to understand how engineering failures happen and how to prevent them. Process of Evaluation After studying the Forensic Engineering Investigator Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Forensic Engineering Investigator Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the Forensic Engineering Investigator course. Career Path Completing this Forensic Engineering Investigator course can lead to several career roles, including: Forensic Engineering Investigator – £45K to £65K per year Forensic Materials Analyst – £38K to £58K per year Engineering Failure Specialist – £42K to £62K per year Technical Incident Investigator – £40K to £60K per year Forensic Engineering Consultant – £50K to £80K per year Course Curriculum Unit 01: Brief Overview Introduction and Definition of Forensic Engineering 00:01:00 Components of Forensic Engineering 00:03:00 Application of Forensic Engineering 00:02:00 Unit 02: Standard Operating Procedure & Various Stages of an Engineering Product SOP 00:03:00 Stages of Engineering Product - Stage I 00:03:00 Stage - II 00:01:00 Stage - III and IV 00:02:00 Unit 03: Steps in Forensic Engineering Investigation Various Steps in Forensic Engineering 00:06:00 Unit 04: Contemporary Methods and techniques used in Forensic Engineering investigation Methods Used 00:11:00 Unit 05: Report Writing and Case Studies Report Writing 00:05:00 Real Case Study 00:03:00 Unit 06: Resources and Reference Materials Reference materials & Bonus 00:00:00 Thank you! 00:01:00

Automate your Excel workflow, accelerate your productivity, and master the fundamentals of programming with VBA!

Embark on a career in bookkeeping with our comprehensive course, perfect for those seeking mastery in financial record-keeping. From the double-entry system to the latest in bookkeeping technology, you’ll be well-equipped to manage ledgers, prepare financial statements, and understand auditing practices.

Overview   With the ever-increasing demand for Tableau in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.   Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Tableau, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Tableau, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Tableau, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 01_ Data Analytics Data Analytics 00:00 Module 02_ Why Use Tableau for Data Analytics Why Use Tableau for Data Analytics 00:00 Module 03_ Getting Started With Tableau Getting Started With Tableau 00:00 Module 04_ Tableau Data Source (TDS) Tableau Data Source (TDS) 00:00 Module 05_ Tableau Worksheets Tableau Worksheets 00:00 Module 06_ Tableau Calculations Tableau Calculations 00:00 Module 07_ Tableau Sort _ Filters Tableau Sort _ Filters 00:00 Module 08_ Tableau Charts Tableau Charts 00:00 Module 09_ Tableau Advanced Tableau Advanced 00:00