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2 QLS Endorsed Courses | CPD Certified | Free PDF & Hard Copy QLS Certificates | 180 CPD Points | Lifetime Access

The objective of the OTHM Level 3 Certificate in Business Studies qualification is to provide learners with an in depth understanding of the operations and structure of businesses. Successful completion of this qualification will equip learners with some of the underpinning knowledge and skills required to succeed in employment or further studies. Program Overview Key Highlights Program Duration: 3 Months Program Credits: 30 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn Understanding of operations and structure of businesses. Underpinning knowledge and skills required to succeed in employment or further studies. Who is this course for? Working Professionals, O-Level holders, Sales & Marketing Professionals

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Our 2023 online courses work in the same way that our classroom courses do, but they are completed via the online platform Zoom. The course can be completed on any device that the Zoom app can be used on, such as a PC, laptop, tablet or smart phone. As with our face to face driver CPC training, completion of this remote learning course will gain you 7 hours towards your CPC. To book your place on the course, simply click on the link below, and complete the online booking form. These details will be used to produce a registration document and provide you with a course certificate on successful completion of the course. Course cost includes upload fee and VAT. £69.95 including VAT and DVSA upload fees of £8.75 per day.

Level 5 QLS Endorsed | 150 CPD Points| +Gifts: QLS Certificate + PDF Certificate | Lifetime Access| 24/7 Learner Support

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

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QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Management of Portfolios (MoP®) Practitioner: On-Demand The Practitioner certification allows you to demonstrate an understanding of how to apply and tailor the MoP guidance and to analyse portfolio data, documentation and roles in relation in a practical context. In this MoP Practitioner course, participants will have sufficient knowledge and understanding of how to apply and tailor the MoP guidance and to analyze portfolio data, documentation, and roles in relation to a given situation. MoP helps organizations ensure if the investments are done the right way, change initiatives, and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What You Will Learn Individuals certified at the MoP Practitioner level will be able to: Define the business case to get senior management approval for portfolio management Plan the implementation of portfolio management Select and adapt MoP principles, practices, and techniques to suit different organizational environments Evaluate examples of MoP information including documents and role descriptions Analyze the solutions adopted in relation to a given scenario Day 1 Introduction Overview MoP Portfolio Definition Portfolio Management Roles Portfolio Management Documents MoP Practitioner Assignments Day 2 Recap Day 1 Portfolio Management Documents Portfolio Delivery How to Implement Practice Exam MoP Practitioner Exam