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Disciplined Agile Senior Scrum Master (DASSM): Virtual In-House Training Do you want to take Disciplined Agile® to a new level? Are you looking for tools to solve complex problems and enhance your organization's agility? Do you want to learn how to lead your team to excellence? Expand your knowledge and build practical skills around Disciplined Agile®, business agility, leadership, and team development. Disciplined Agile Senior Scrum Master is a nine-lesson, instructor-led course that shows you how to use the Disciplined Agile tool kit to solve a variety of advanced problems, work with allies within your organization, and optimize how teams work. You will gain knowledge in planning, reporting and metrics, and coordinating activities, as well as how to meet challenges in these areas. And you'll develop the skills you need to foster emotional intelligence, resolve conflicts, and lead high-performance teams at any stage of development. Filled with activities, supplemental reading, and more, this course will prepare you to take the Disciplined Agile Senior Scrum Master (DASSM) exam and, equally important, start using Disciplined Agile immediately within your leadership role. What You Will Learn After the completion of this course, you will be able to: Accelerate your ability to lead high-profile initiatives that are critical to enterprise success Take a deep dive into the Disciplined Agile® tool kit to develop a comprehensive understanding of the hundreds of practices and strategies it contains and the trade-offs of applying them Apply the Disciplined Agile tool kit in hands-on exercises to guide your team in choosing and evolving your best way of working (WoW) in real-life situations Use the tool kit to solve complex challenges commonly encountered in development and operational teams, the value stream, and at the enterprise level Learn how to design and implement metrics that measure your improvements in areas where your teams are struggling Understand how to nurture emotional intelligence Feel confident empowering others on your team(s) Learn how to lead your teams in any situation to improve value delivery for your customers Apply the Disciplined Agile tool kit to guide your team in choosing and evolving the best way of working (WoW) in the situation you face Be prepared to take the Disciplined Agile® Senior Scrum Master (DASSM) exam and earn a valuable, credible certification Roles and responsibilities of DASSM Tuckman Team Development Model Emotional intelligence and why it is essential to team performance Business agility Tactical scaling factors in more complex situations Disciplined DevOps layer 'Test-first' method as it relates to the quality of requirements Scope and purpose of the value stream layer Coordinate activities process goal and why it is important Value creation structure of teams DA™ tool kit to optimize the flow of work and solve challenges related to coordinating and collaborating across teams, or within a larger team of teams Thomas-Kilmann Conflict Resolution Planning Five levels of scope Metrics

OVERVIEW DIAD is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. The course focuses on five practical Labs and at the end of the day, attendees will better understand how to: Connect and transform data from a variety of data sources. Define business rules and KPIs. Explore data with powerful interactive visuals. Build stunning reports. Share their dashboards with their team business partners and publish them to the web. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: Learn how to clean, transform, and load data from various sources Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage and share report assets to the Power BI Service WHO IS THE COURSE FOR? Data Analysts and Management Consultants with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Analysts looking for a quick introduction to Power BI who don’t have the time for the full three day PL-300 course Marketers in data-intensive organisations who need new tools to build visually appealing, dynamic charts for their stakeholders to use LAB OUTLINE Lab 1 Accessing & Preparing The Data Load data from Excel and CSV sources Manipulate the data to prepare it for reporting Prepare tables in Power Query and load them into the data model Lab 2 Data Modelling And Exploration Create a range of different charts Highlight and cross-filter Create new groups and hierarchies Add new measures to the model Lab 3 Data Visualization Add conditional formatting to a report Add logos to a filter Import a custom visual Apply a custom theme Add bookmarks to the report to tell a story Lab 4 Publishing A Report And Creating A Dashboard Create a Workspace in the Power BI Service Publish a report to the Service Create a Dashboard and pin visuals to it Generate and view insights Lab 5 Collaboration Share a Dashboard Access a Dashboard on a Mobile Device

Business and Data Analysis with SQL is a comprehensive training in the theoretical and practical study of Data analysis and SQ language. This module is open to the people who want to elevate their business growth. Secure your position as an asset to the organization by learning SQL. Make your professional skill more productive by learning data analysis and SQL communication. The course exposes to you the details on computational and data investigational methods. It also highlights the basics of extracting data from the database storage. On completion of this online course, you will have an extensive understanding of how the database works and ways to function them properly, and thus be able to make critical decisions like a professional. What you'll learn At the end of this course, you will have the ability to run your own data projects, work with databases and manage large datasets and provide meaningful business intelligence reports to your team. Requirements Be familiar with reports and data-based projects. Who this course is for: This course is aimed at business professionals who work with data of all sizes. You will learn the fundamentals of business intelligence and basic data warehouse development. Introduction Business and Data Analysis with SQL FREE 00:06:00 Database and Datawarehouse Design Introduction to Databases- A History 00:04:00 SQL Statement Categories 00:02:00 Capture data requirements 00:09:00 Physical Vs Logical Data Representations 00:03:00 Normalise data 00:07:00 Fact Tables 00:04:00 Aggregate data 00:07:00 Entity Relationship Diagrams (ERD's) 00:07:00 Extract, Transform and Load (ETL) 00:13:00 Structured Query Language (SQL) - Fundamentals MySQL Server Setup 00:05:00 MySQL Server Start and stop Service 00:02:00 Connect to database 00:07:00 Comments in SQL 00:05:00 Select data from a table 00:16:00 Table Indexes 00:08:00 Table and Column Aliases 00:05:00 Inner Join Tables 00:02:00 Left and Right Outer Table Joins 00:04:00 Union (all) Results 00:04:00 Project Management Project Management (Agile Methodology) 00:11:00 Kanban boards 00:09:00 Prioritise Requirements using MoSCoW 00:04:00 Sales Project Sales Project - Introduction 00:05:00 Create and Drop Database 00:05:00 Query Workflow 00:09:00 Sales Project - Part 1 - Data Capture 00:15:00 Sales Project - Part 2 - Data Analysis 00:08:00 Sales Project - Part 3 - Data Summary 00:12:00 Sales Project - Part 4 - Send to production 00:09:00 MySQL Query Explain Plan 00:07:00 Common Table Expressions (WITH) 00:14:00 Data Control Language (DCL) User Administration 00:13:00 MySQL Programs MySQL Set Windows Environment Variable 00:05:00 MySQL Command Line 00:17:00 Visualising Data Export results to Excel 00:06:00 Setup MySQL ODBC (Open Database Connector) 00:11:00 Creating a report in Microsoft Excel 00:21:00 Course Certification

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

OVERVIEW Prerequisites—this is a day of supervised revision for anyone who wishes to take the PL-300 exam so we expect you to have attended a PL-300 course, either taught or on your own, before attending this day of revision. We are happy for attendees to join the course if you have taken the PL-300 with us or with another provider. In the morning we look at questions from the PL-300 exam, grouped by subject area. For each question we show you the correct answer and then explain why that is the correct answer. After lunch everyone tries a practice exam under exam conditions and we finish the day with clarification on the subjects or specific questions that the class is finding hard. The cost of the course includes a free voucher to take the exam, so please don’t buy your own separately. If you do so we cannot reimburse you with the cost of the exam. COURSE BENEFITS: Discover the parts of the course on which to focus most attention Become familiar with the styles and formats of the exam questions Alert yourself to some of the particularly tricky questions Familiarise yourself with the style of the 'case study' question Practice an exam under real exam conditions Get a feel for the time you need to devote to the normal questions and to the case study WHO IS THE COURSE FOR? Power BI report developers who need PL-300 Certification to apply for a job Business Intelligence specialists who wish to enhance their career prospects with a PL-300 Certification Anyone who wishes to maximise their chances of passing the PL-300 Power BI Data Analyst exam COURSE OUTLINE Module 1 Structure Of The Exam Registration for the exam and setup of your workspace The percentage of marks devoted to each subject area Types of questions used in the exam Advised timing for the normal questions and for the case study question Module 2 Individual Exam Question Practice The exam questions are divided into subject areas and for each question… We consider the question and try to answer it We view the answer Where necessary, we look at an in-depth explanation of why that is the correct answer Examine case study questions and how to treat these differently from the normal questions Module 3 Practice Exam Under Exam Conditions Attendees take a practice exam Attendees receive a mark, broken down into subject areas Module 4 Exam Question Practice Focussed On Tricky Areas Together, based on the results of attendees’ exam results we decide which areas on which to focus More practice on individual exam questions using the same style as in Module 2

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Step into the future with our 'Cyber Security Law & Ethical Hacking' bundle. This comprehensive package includes three QLS-endorsed courses: 'Cyber Security Advanced Training', 'Cyber Security Law Online Course', and 'Cyber Security & Ethical Hacking To The Next Level'. Each course comes with a hardcopy certificate, offering you recognised credentials in this vital field. This bundle is further enriched by five CPD QS accredited courses: 'Cyber Intelligence Officer', 'Cyber Security Incident Handling and Incident Response', 'Linux Security and Hardening', 'Cyber Security Awareness Training', and 'Computer Networks Security from Scratch to Advanced'. Key Features of the Cyber Security Law & Ethical hacking- 3 QLS Course Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Cyber Security Law & Ethical hacking- 3 QLS Course bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Cyber Intelligence Officer QLS Course 02: Cyber Security Incident Handling and Incident Response QLS Course 03: Linux Security and Hardening 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: Cyber Intelligence Officer Course 02: Cyber Security Incident Handling and Incident Response Course 03: Linux Security and Hardening Course 04: Cyber Security Awareness Training Course 05: Computer Networks Security from Scratch to Advanced 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 Cyber Security Law & Ethical hacking- 3 QLS Course courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Secure your career in the cyber realm by mastering the legal landscape, advanced protection techniques, and ethical hacking principles through this immersive learning experience. Learning Outcomes: Grasp advanced cyber security concepts and strategies. Gain a comprehensive understanding of Cyber Security Law. Learn and apply ethical hacking principles. Become proficient in cyber intelligence and incident response. Understand Linux security and hardening techniques. Enhance awareness of cyber security threats and countermeasures. Learn about computer network security from scratch to advanced. The 'Cyber Security Law & Ethical Hacking' bundle delivers an extensive theoretical foundation in critical areas of cyber security. With the three QLS-endorsed courses, you'll delve into advanced cyber security practices, the legal framework surrounding cyber security, and ethical hacking principles. The five additional CPD QS accredited courses cover a broad spectrum of vital cyber security topics, from intelligence and incident response, to Linux security and cyber security awareness. This knowledge allows you to understand and navigate the increasingly complex digital security landscape and protect vital information and systems. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring professionals in the field of cyber security. Law students interested in specialising in cyber security law. IT professionals aiming to broaden their skill set with cyber security knowledge. Anyone interested in understanding the foundations of ethical hacking. Career path Cyber Security Analyst: Implement security measures to protect systems (£26,000 - £60,000). Cyber Security Lawyer: Advise on legal aspects of cyber threats (£40,000 - £80,000). Ethical Hacker: Identify vulnerabilities in systems using hacking techniques (£30,000 - £70,000). Cyber Intelligence Officer: Monitor and analyse cyber threats (£35,000 - £65,000). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: 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 Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.