ð Elevate Your Marketing Game with 'Digital Advertising with Microsoft: A Comprehensive Guide' ð Are you ready to revolutionize your digital advertising strategy and unlock the full potential of Microsoft's powerful advertising platforms? Look no further! Introducing our groundbreaking online course: 'Digital Advertising with Microsoft.' ð Why Microsoft? ð Microsoft is more than just a tech giant - it's a game-changer in the digital advertising landscape. With platforms like Microsoft Advertising and LinkedIn, you have access to a vast audience of engaged users ready to connect with your brand. Whether you're a seasoned marketer or a budding entrepreneur, this course is your ticket to mastering the art and science of digital advertising with Microsoft. ð What You'll Gain from this Course ð â Comprehensive Insights: Dive deep into the intricacies of Microsoft Advertising and understand how to leverage its unique features for maximum impact. â Strategic Campaign Planning: Learn the art of crafting targeted, high-converting campaigns that resonate with your audience and drive results. â Optimization Techniques: Discover insider tips and tricks to optimize your ad performance, ensuring you get the most bang for your advertising buck. â Mastering LinkedIn Advertising: Unleash the power of LinkedIn advertising with strategies tailored to the platform's professional audience. â Data-Driven Decision-Making: Harness the potential of data analytics to make informed decisions, continuously refining your campaigns for success. â Exclusive Industry Insights: Stay ahead of the curve with the latest trends, updates, and best practices in the ever-evolving world of digital advertising. ð¥ Bonuses to Supercharge Your Learning Experience ð¥ ð Interactive Quizzes and Assignments: Reinforce your knowledge with hands-on activities that solidify your understanding. ð Real-world Case Studies: Gain inspiration from successful campaigns and apply those insights to your unique business challenges. ð¤ Community Support: Connect with like-minded professionals, share experiences, and get personalized advice from our expert instructors. ð Lifetime Access: Enjoy unlimited access to course materials, updates, and a dedicated community to support your ongoing success. ð¡ Ready to Transform Your Digital Advertising Game? ð¡ Enroll now in 'Digital Advertising with Microsoft: A Comprehensive Guide' and take the first step towards becoming a digital advertising maestro. Don't miss out on this opportunity to boost your brand's visibility, drive conversions, and elevate your marketing ROI. ð Join the digital advertising revolution with Microsoft - because your success is just a click away! ð Course Curriculum Digital Advertising with Microsoft: A Comprehensive Guide Microsoft Ads dashboard 00:00 Campaign home overview 00:00 How to edit campaign name and change campaign budget 00:00 Ad Campaigns 00:00 Ad Bids & Optimization 00:00 Spy on Your Competitors 00:00 Set Your Budget & Automate Extensions 00:00 Ad Extension Overview & How Tos #1 00:00 How To Add Different Types of Extensions 00:00 Microsoft Ad Editor 00:00 Reports 00:00
Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling
The BCS Foundation Certificate in Business Analysis is a foundation- level certification that provides a broad understanding of business analysis principles and techniques. It is offered by the British Computer Society (BCS), a professional association for IT professionals.
Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client
Course Overview: The demand for User Experience (UX) and User Interface (UI) designers is skyrocketing. Our Advanced Diploma in User Experience UI/UX Design is a comprehensive program that equips you with the knowledge and skills to craft seamless and user-centric designs that leave a lasting impact.Through a series of thoughtfully designed modules, learners will not only gain an understanding of UX/UI but also the dynamics of the Web Industry, Graphic Design implications, and the intricate details of UX Design, followed by an extensive dive into UI Design and Optimization techniques. Ultimately, the course incorporates a holistic understanding of the Careers in UX/UI, empowering students to venture confidently into this promising field.Enrol in this Advanced Diploma in User Experience UI/UX Design course today and start your journey to a successful career in UX or UI design! Key Features of the Course: CPD Certification 24/7 Learning Assistance Interesting Learning Materials Who is This Course For? This Advanced Diploma in User Experience UI/UX Design course is ideal for aspiring UX/UI designers, web developers, graphic designers, product managers, and professionals looking to enhance their design skills. Whether you are a beginner or have some experience in design, this course will help you develop a solid foundation and master the intricacies of UX/UI design. What You Will Learn: In the first part of the Advanced Diploma in User Experience UI/UX Design course, you will dive into the fundamentals, including the difference between UX and UI, the roles and responsibilities of designers in a team, and an overview of the web development process. You will also explore the psychology of colour, working with fonts and icons, and the essential tools and techniques used in graphic design. Moving forward, you will uncover the core principles of UX design, learn how to analyse user profiles, identify pain points, and create user personas. You will gain insights into customer journeys, sales funnels, and the principles of influence. Through hands-on projects, you will develop skills in creating storyboards, mood boards, and information architecture. In the latter part of the course, you will focus on wireframing, prototyping, and testing, ensuring your designs are user-friendly and intuitive. You will learn about usability reports, the "Above the Fold" rule, and optimisation using analytics and heat maps. The course also provides valuable guidance on launching a UX/UI design career, including freelancing, personal branding, and building a professional website. Why Enrol in This Course: Join thousands of satisfied learners who highly rated this Advanced Diploma in User Experience UI/UX Design course for its comprehensive curriculum and effective approach. Benefit from up-to-date industry insights and the latest design trends, ensuring you stay ahead of the curve. UX/UI design is one of the fastest-growing fields, offering abundant job opportunities and career growth potential. Develop your design thinking and problem-solving skills, unleashing your creative potential to craft extraordinary user experiences. Requirements: Enrolling in this Advanced Diploma in User Experience UI/UX Design course requires a basic understanding of design concepts and access to a computer with an internet connection. No prior coding or design experience is required. Career Path: Upon completing this Advanced Diploma in User Experience UI/UX Design course, you will be well-prepared for a range of exciting career opportunities, including: UX/UI Designer (£35,000 - £55,000 per annum) Web Developer (£30,000 - £45,000 per annum) Graphic Designer (£25,000 - £40,000 per annum) Product Manager (£40,000 - £70,000 per annum) UX Researcher (£35,000 - £50,000 per annum) Interaction Designer (£35,000 - £60,000 per annum) User Experience Architect (£45,000 - £75,000 per annum) Certification: Upon completing the Advanced Diploma in User Experience UI/UX Design course, you will receive a CPD certificate, widely recognised as a mark of excellence in the professional development of individuals. Enrol today and join the ranks of successful designers who have harnessed the power of user-centric design to create remarkable digital experiences. Course Curriculum 9 sections • 112 lectures • 12:52:00 total length •Learn UX/UI Course Overview: 00:05:00 •Section Overview: 00:04:00 •UX vs UI: 00:04:00 •UX/UI Designer Marketplace: 00:05:00 •Overview of UX Roles: 00:06:00 •Web Industry Section Overview: 00:03:00 •The Phases of Web Development: 00:13:00 •Designer Responsibilities (working in a team): 00:09:00 •Roles & Descriptions (working in a team): 00:05:00 •Agile Approach To Project Management: 00:12:00 •Scrum - Flexible Framework: 00:06:00 •Project Management Apps: 00:13:00 •XD Lesson - Introduction: 00:13:00 •Graphic Design Section Overview: 00:02:00 •The Psychology of Color: 00:13:00 •Color Wheel & Color Schemes: 00:06:00 •Working with Fonts: 00:10:00 •Working With Icons: 00:04:00 •XD Lesson - Tools, Object Manipulation and Components: 00:13:00 •XD Lesson - Font Styles and Artboard Settings: 00:07:00 •Graphic Design Software Tools: 00:03:00 •Adobe XD lesson 4 - Icons & Vector Graphics: 00:14:00 •UX Design Section Overview: 00:04:00 •What is User Experience Design? (UX): 00:09:00 •UX Design Process: 00:03:00 •The UX Analysis Process: 00:08:00 •Working with User Profiles: 00:03:00 •Understanding User Pain Points: 00:03:00 •XD Lesson 5 Class Project: Сompetitive Analysis: 00:10:00 •Developing a Persona Part 1: 00:05:00 •Developing a Persona Part 2: 00:05:00 •Customer Journey: 00:04:00 •Customer Journey vs Sales Funnel: 00:04:00 •3 Phases of a Sales Funnel: 00:07:00 •4 Stages of a Sales Funnel: 00:06:00 •Macro/Micro Conversions: 00:05:00 •Stages of Market Sophistication: 00:06:00 •Lead Generation Funnel: 00:06:00 •Digital Product Sales Funnel: 00:05:00 •7 Principles of Influence: 00:12:00 •Age Based Influence Triggers: 00:06:00 •Gender Influence Triggers: 00:06:00 •Interest Based Marketing: 00:04:00 •Understanding User Flow: 00:08:00 •XD Lesson 6 Class Project: Userflow - Your first UX deliverable: 00:07:00 •Working with Story Boards: 00:05:00 •XD Lesson 7 Class Project: Crafting a Story board: 00:09:00 •Working with Moodboards: 00:04:00 •XD Lesson 8 Class Project: Creating Moodboard: 00:11:00 •Sitemap & Information Architecture: 00:07:00 •XD Lesson - Class Project: App Architecture: 00:09:00 •Low and Hi Fidelity Wireframes: 00:03:00 •XD Lesson - Class Project: Login Screen Wireframe Using Material Design: 00:08:00 •Working with Prototypes: 00:04:00 •XD Lesson - Class Project: Home Screen Wireframe and Linking: 00:07:00 •XD Lesson - Class Project: Adding Interaction to Wireframes: 00:10:00 •Testing and Evaluating: 00:11:00 •UX Deliverables: 00:03:00 •UX Design Conclusion: 00:01:00 •UI Design Section Overview: 00:03:00 •UI Design Overview: 00:03:00 •Types of Interfaces: 00:10:00 •Landing Pages Overview: 00:10:00 •XD Lesson - Using Grids in XD: 00:08:00 •XD Lesson - Single Card design: 00:13:00 •UI Controls: 00:07:00 •UI Components: 00:12:00 •Navigational Components: 00:12:00 •Header Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Header Design: 00:10:00 •XD Lesson - Mobile & Desktop: Dropdown Design: 00:06:00 •Common Layouts Overview: 00:08:00 •XD Lesson - Common Layouts: 00:07:00 •Mobile & Desktop Footer Design Overview: 00:07:00 •XD Lesson - Mobile & Desktop: Footer Design: 00:06:00 •Mobile & Desktop Button Design Overview: 00:05:00 •XD Lesson - Mobile & Desktop: Button Design: 00:10:00 •XD Lesson - Mobile & Desktop: Input Design: 00:07:00 •Mobile & Desktop Filter Search Bar Design Overview: 00:06:00 •Adobe XD Lesson - Mobile & Desktop: Filter Design: 00:07:00 •Adobe XD Lesson - Mobile & Desktop: Search Design: 00:03:00 •UI Kit Overview: 00:05:00 •Adobe XD Lesson - Desktop and Mobile: UI Kit: 00:06:00 •Microinteractions Overview: 00:05:00 •Adobe XD lesson - Microinteractions: 00:07:00 •Optimization Section Overview: 00:02:00 •Feedback Review & Getting Referrals: 00:04:00 •'Above the Fold' Rule: 00:04:00 •Adobe XD lesson - Designing a Powerful Above the Fold: 00:08:00 •Using Analytics For Optimization: 00:05:00 •Heat Maps & Element Placements: 00:04:00 •Crafting A Usability Report Overview: 00:08:00 •Adobe XD lesson - Crafting Reports in XD: 00:20:00 •Careers in UX/UI Section Overview: 00:06:00 •Your Daily Productivity Hub: 00:14:00 •How To Start Freelancing: 00:08:00 •Client Consulting: 00:04:00 •Building a Brand: 00:10:00 •Personal Branding: 00:06:00 •The Importance of Having a Website: 00:08:00 •Creating a Logo: 00:05:00 •Step by Step Website Setup: 00:17:00 •UI Templates: 00:06:00 •Logo Templates: 00:04:00 •Creating a Business Email: 00:06:00 •Networking Do's and Don'ts: 00:04:00 •Top Freelance Websites: 00:10:00 •UX/UI Project Scope Questions: 00:10:00 •Laser Focus & Productivity Tools: 00:06:00 •The Places to Find UX Jobs: 00:05:00 •Resources - Advanced Diploma in User Experience UI/UX Design: 00:00:00 •Assignment - Advanced Diploma in User Experience UI/UX Design: 00:00:00
Estimating for Business Analysts: In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?
Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence
Course Overview: !-- wp:paragraph --> Approximately 4.48 billion people are actively using social media, which is projected to continue rising. Throughout this Social Media Strategist Training course, learners will delve deep into topics ranging from the foundational understanding of social media to the analytical tools that guide strategic decisions. The utilisation of social media platforms has undoubtedly transformed how businesses interact with their clientele. With over 90% of millennials and 77% of Generation X being active social media users, the necessity to hone one's skills in social media strategy is glaringly evident. This course embraces the significance of social media growth. It delves deeply into conducting market analysis, understanding corporate culture in the social media context, and myriad other areas that form the crux of becoming a proficient social media strategist. Enrol in the "Social Media Strategist Training" today, and take a monumental step towards becoming a sought-after professional in the industry. Key Features of the Course: !-- wp:list --> Earn a recognised CPD certificate upon completion Enjoy 24/7 learning assistance to facilitate your education journey Access to exciting learning materials designed by experts in the field Flexible learning schedule, allowing for a balanced approach to study and work Who is This Course For? This Social Media Strategist Training course is particularly beneficial for marketing professionals, business owners, communication specialists, and individuals keen on forging a career in the social media space who aim to deepen their knowledge and expertise in social media strategies. Learning Outcome Upon completing this Social Media Strategist Training course, you will be adept in: Identifying and utilising various social media platforms effectively Conducting thorough market analysis to guide social media strategies Developing content that resonates with your target audience Understanding and implementing social media policies and guidelines Analysing social media metrics to measure the success of your campaigns Employing social media tools and software for optimised project management Maintaining voice consistency across various social media platforms Effectively handling online and personal interactions in a business context Why Enrol in This Course: Enrol in this top-reviewed and recently updated course to equip yourself with trending skills necessary for crafting compelling social media strategies. Requirements: Prospective learners should have a basic understanding of digital platforms and an eagerness to delve into social media strategy. Career Path: Upon completion of the Social Media Strategist Training course, learners can pursue the following professions, among others in the UK: Social Media Manager - £35,000 per annum Content Strategist - £40,000 per annum Digital Marketing Specialist - £32,000 per annum Social Media Analyst - £27,000 per annum Community Manager - £30,000 per annum Brand Marketing Manager - £45,000 per annum SEO and SEM Specialist - £35,000 per annum Certification: Upon successfully completing the Social Media Strategist Training course, learners will be awarded a recognised CPD certificate, showcasing their proficiency in social media strategy. Course Curriculum 13 sections • 25 lectures • 13:09:00 total length •What is Social Media: 00:18:00 •The Growth of Social Media: 00:10:00 •Conducting Market Analysis: 00:16:00 •Auditing Social Media: 00:26:00 •Corporate Culture and Social Media: 00:12:00 •Social Media Goals vs. Business Goals: 00:10:00 •Types of Social Media Platforms: 00:08:00 •The Social Media Policy: 00:40:00 •Creative Commons: 00:21:00 •Brand Marketing: 00:27:00 •Keyword Selection: 00:17:00 •Content Marketing on Social Media: 00:26:00 •Content Development: 00:23:00 •Understanding the Popular Platforms: 03:35:00 •Traditional Website Advertising: 00:37:00 •Social Media Documentation and Schedules: 00:29:00 •Project Management Software: 00:39:00 •The Community Manager Role: 00:26:00 •Importance of Voice Consistency: 00:30:00 •Organizational Customer Servicen: 00:28:00 •Social Media Triage: 00:14:00 •Online versus Personal Interactions: 00:26:00 •Social Media Analytics: 00:27:00 •Goal Value: 00:43:00 •The Social Media Strategist Career: 00:21:00
This session is part four in our series on Internal Audit Focus and Emerging Risks for 2021 and Beyond. The world has changed. 2020 was an unprecedented year for all professions. Internal auditors were faced with a tremendous impact to their audit plans causing refocus and realignment of not just projects but resources. As a profession, internal auditors have traditionally focused on past events or as some would say, taking the look in the rear-view mirror. Most financial or accounting professionals can look at previous year data and tell management where past mistakes were made. With the evolving landscape, risks and economy that have been spurred on by the pandemic of 2021, internal auditors must look to stretch their skills to areas that are most valued by their organizations. Today's insight may well be tomorrow's hindsight. Part one of the series evaluated three core categories that impact the âHot Topicâ areas for internal auditors to focus on in the future. These included: Heightened Focus on Organizational Resilience Elevated Macro Environment Uncertainty Humanization vs. Dehumanization of the Workforce After reviewing these areas, we will then link them to âHot Spotâ topics as identified by the Gartner group that internal audit should be attuned to in 2021 and years forward. In session one we delved into the topics of IT Governance and Data Governance. Within Part Two of the series, we examined: Cyber Vulnerabilities Business Continuity Disaster Recovery Talent Resilience Corporate Social Responsibility Within Part Three of the series, we examined: Third-Party management Supply Chain management Data and Analytics Learning Objectives Explore Risk Management and Culture. Explore and examine risk management and culture and evaluate methods internal audit can use to evaluate their organizational processes. Identify and examine workforce management and workplace audit concepts and evaluate methods internal audit can use to evaluate their organizational processes. Recognize and examine corporate financial management concepts and evaluate methods internal audit can use to evaluate their organizational processes. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction and Overview Introduction to Internal Audit Emerging Risks for 2021 and Beyond - Part 4 00:09:00 Continuous Play Risk Culture 00:11:00 Challenges 00:11:00 Workforce Management and Workplace Audit 00:07:00 Workforce Management and Workplace Audit Cont'd 00:13:00 Corporate Financial Management 00:09:00 Summary 00:04:00 Supplementary Resources Supplementary Resources - Internal Audit Emerging Risks for 2021 and Beyond - Part 4 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Writing and Managing Requirements Documents: Virtual In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA™ Certification exam to become a Certified Business Analysis Professional (CBAP™). Learn more at www.iil.com/bacp. Once a business analyst has completed the information gathering and analysis to produce the solution to a business problem, the results must be documented for all stakeholders to see and understand. This course will enhance the skill set needed for writing and managing the complex readership that business analysts interact with on a day-to-day basis. What you will Learn Upon completion, participants will be able to: Write an understood requirements document that is approvable and acceptable Validate a requirements document Manage the changes to requirements documents through the SDLC Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide The business analyst and the product/project life cycle The requirements documentation process Planning for Effective Requirements Documentation Overview of requirements planning Planning for validation Planning for verification: well-formed criteria Planning for verification: understood and usable criteria Writing Effective Requirements Documents Overview of writing requirements documents Using a standard structure / template Applying formatting techniques Meeting the challenge of writing non-functional requirements Baselining Requirements Documents Overview of the requirements baseline process Validation Verification Approval Managing Requirements Change through the Product Life Cycle Overview of requirements change management Establishing a formal change management process Tracing requirements through design and development (build, test, and implementation) Following through to post-implementation (transition and early production)