This BigQuery Conversion course is for users of SQL. We cover the interface and licensing differences and additional capabilities. Highlights of BigQuery. We will cover the general SQL topics ( see our intermediate outline ) and point out where the differences are. You would be able to move to this platform easily.
This is a practical course that will help you understand the features of SwiftUI. You will gain all the essential knowledge of SwiftUI and declarative programming needed to build fun and stylish applications for macOS.
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Are you ready to take your data analysis skills to the next level? Introducing the Statistical Analysis and Data Science bundle - the ultimate collection of courses for anyone looking to dive deeper into the world of data. The bundle features a QLS-endorsed course, which means you will receive a QLS hardcopy certificate upon completion. This certificate is a mark of quality and can help you stand out in a competitive job market. But that's not all - the bundle also includes 10 other relevant courses, all CPD-QS accredited, to ensure you have a comprehensive understanding of statistical analysis and data science. You'll learn everything from the basics of statistical analysis to advanced SAS programming and big data analytics. Our courses were designed by people who are passionate about sharing their knowledge with you. With our easy-to-follow modules, you'll be able to learn at your own pace and from the comfort of your own home. Whether you're a seasoned data analyst looking to expand your skills or a newcomer to the field, the Statistical Analysis and Data Science bundle has everything you need to succeed. So why wait? Enrol now and take the first step towards becoming a data analysis expert! This Diploma in Statistical Analysis at QLS Level 5 Bundle Package includes: Course 01: Diploma in Statistical Analysis at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Data Analytics with Tableau Course 02: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 03: Data Science & Machine Learning with R Training Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Advanced SAS Programming Using MacrosSQL Course 06: SQL NoSQL Big Data and Hadoop Course 07: Statistical Concepts and Application with R Course 08: Business Data Analysis Course 09: Business Intelligence and Data Mining Diploma Course 10: Data Analysis In Excel Why Prefer This Statistical Analysis and Data Science Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Statistical Analysis and Data Science bundle courses, you will be able to learn: Develop a comprehensive understanding of statistical analysis and data science principles Gain expertise in data analytics tools such as Tableau, PySpark, MongoDB, R, SQL, SAS, and Hadoop Learn advanced data science techniques, including machine learning, data mining, and business intelligence Acquire skills in data visualisation, data cleansing, and data analysis in Excel Apply statistical concepts and methods to real-world scenarios Build a strong foundation in data-driven decision-making Develop problem-solving skills and learn how to make data-driven decisions ***Curriculum breakdown of Statistical Analysis*** Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better How is the Statistical Analysis and Data ScienceBundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their skills in data analysis Students interested in a career in data science and analytics Entrepreneurs looking to make data-driven decisions Anyone interested in learning statistical analysis and data science principles Career path Our courses will prepare you for a range of careers, including: Data Analyst: £25,000 - £40,000 Business Analyst: £30,000 - £50,000 Data Scientist: £40,000 - £70,000 Business Intelligence Analyst: £35,000 - £55,000 Big Data Engineer: £50,000 - £80,000 Data Warehouse Architect: £60,000 - £100,000 Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - Included
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Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.
Duration 3 Days 18 CPD hours This course is intended for This course is intended for beginner to intermediate business and requirements analysts who are looking to improve their elicitation and requirements writing and documentation skills. This course is also a great fit for technical writers, product and software testers, project managers, product owners who work closely with business analysts or who perform some for of business analysis themselves. Overview Understand the role of the business analyst and core competencies for performing successfully Discuss the criticality of business analysis and requirements for successful project outcomes Understand the main professional associations and standards supporting business analysts in the industry Discuss the common problems with requirements and explore approaches to address these issues Obtain a clear understanding of the various requirements types and the significance for eliciting each type Demonstrate your ability to identify stakeholders Explore various methods for understanding and analyzing stakeholders Discuss and apply good planning practices to requirements elicitation efforts Obtain knowledge and understanding of over 15 current and commonly applied elicitation techniques Understand how to progress from elicitation to analysis to documentation Write well-formed and validated requirements Gain understanding of the best practices for writing quality requirements Learn the technical writing techniques that apply directly to writing requirements documents Discuss writing pitfalls, risks that impact requirements, and how to address them Learn best practices for communicating and collaborating with stakeholders, sharing the results of elicitation and the resulting documentation Learn approaches for validating requirements Understand the difference between validating requirements and validating the solution With elicitation serving as a major component of the requirements process, it is imperative that business analysts maintain high competency levels in elicitation practices and technique use to help organizations overcome the requirements related challenges faced on projects. Regardless whether you are a practitioner just starting off your career in business analysis or whether you have been performing the role for some years, this course will provide insight into the latest thoughts on elicitation and writing effective requirements and present a number of current techniques that are being applied on projects across industries today. Review of Foundational Concepts Definition of a business analysis Definition of business analyst BA role vs. PM role Business analysis competencies Benefits of business analysis Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis core concepts Discussion: Project challenges Understanding Requirements Common problems with requirements Understand the problem first Define the business need Situation statements and moving to requirements Understanding requirement types Business requirements Stakeholder/User Requirements Solution Requirements Functional Requirements Non-Functional Requirements Assumptions and Constraints Discussions: Requirement problems, business needs, and identifying non-functional requirements Discovering Stakeholders Definition of a stakeholder Stakeholder types Identifying stakeholders Performing stakeholder analysis Stakeholders and requirements Tips for identifying stakeholders Grouping stakeholders Creating a RACI model Tips for analyzing stakeholders Documenting results of stakeholder analysis Workshop: Discovering stakeholders Preparing for Requirements Elicitation Planning for elicitation Benefits of elicitation planning What do you plan? The elicitation plan Setting objectives for elicitation Determining the scope for elicitation Establishing pre-work Determining the outputs for the session The iterative nature of elicitation Elicitation roles Elicitation planning techniques Discussions: Who to involve in elicitation, planning impacts, and unplanned elicitation Workshop: Planning for elicitation Conduct Requirements Elicitation Elicitation skillset Types of elicitation techniques Using active listening in elicitation Techniques for performing elicitation Benchmarking/Market Analysis Brainstorming Business Rules Analysis Collaborative Games Concept Modeling Data Mining Data Modeling Document Analysis Focus Groups Interface Analysis Interviews Observation Process Modeling Prototyping Survey or Questionnaire Workshops Write Effective Requirements Elicitation and Analysis Requirements related issues Implications of bad requirements Elicitation and documentation Writing skillset Documenting requirements Modeling requirements Defining the project life cycle Impact of project life cycle on documentation Requirements specifications Characteristics of good requirements Guidelines for writing textual requirements Structuring a requirement Writing pitfalls Traceability Requirements attributes Risks associated to requirements Discussions: Project Life Cycle and Correcting Poorly Written Requirements Workshops: Documenting Requirements and Identify Characteristics of Good Requirements Confirm and Communicate Elicitation Requirements Business analysis communication Requirements communication Communication skills The 7 Cs Timing of communication Planning communication Importance of Collaboration Planning collaboration Documenting communication/collaboration needs Confirming elicitation results Verify requirements Characteristics of good requirements (revisited) Requirements checklist Requirements validation Signing off on requirements Discussions: Responsibility for Communication, Eliciting Communication Needs, Validation Signoff Workshops: Communicating Requirements and Obtaining Signoff Evaluate the Solution Business analyst role in solution evaluation Why solutions under perform What we are looking for in solution evaluation When does solution evaluation occur Performing solution evaluation Planning solution evaluation Metrics that might exist Evaluating long term performance Qualitative vs. quantitative measures Tools & techniques used in solution evaluation Comparing expected to actuals When solution evaluation discovers a variance Tools/techniques for analyzing variances Proposing a recommendation Communicating results of solution evaluation Discussion: Addressing Variance Wrap up and Next Steps Useful books and links on writing effective requirements BABOK© Guide Business Analysis for Practitioners: A Practice Guide Additional course details: Nexus Humans BA04 - Eliciting and Writing Effective Requirements 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 BA04 - Eliciting and Writing Effective Requirements 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.
Big data certification for non-programmers, business analysts, testers, and SQL developers
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