Course overview Take a practical approach to enhance your Excel modelling skills with the Advanced Excel Models using Formulas, VBA & Power Query course. In this course, you will learn how to build robust Excel models using Formulas, VBA and Power Query. This Advanced Excel Models using Formulas, VBA & Power Query course offers a wide range of training modules to enhance your abilities to create better models. You will discover the advanced Excel formulas to prepare reports, forecast and perform mathematical calculations. We will introduce you to the three excel models and show the functions used to prepare these pro models. In addition, you will learn the Excel formulas for prepaid expenses and explore the steps to create dynamic dashboards based on Power Query and Pivot Table without any formula. Learning outcomes Familiarize yourself with the advanced Excel formulas Be able to manage prepaid expenses Deepen your understanding of the prepaid expense models Learn about the pro Excel models and formulas Strengthen your knowledge of Power Query and PowerPivot Learn how to create Power query and pivot table based dashboard without any formula Who Is This Course For? This Advanced Excel Models using Formulas, VBA & Power Query course is recommended to anyone interested in learning how to prepare robust Excel models using advanced formulas, Power Query and VBA. In addition, the skills gained from this training will provide excellent opportunities for career advancement. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Advanced Excel Models using Formulas, VBA & Power Query Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Data Analyst System Support and Reporting Analyst Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thankyou Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Total H.248 training course description A course focusing purely on the H.248 protocol. Anyone working through the ITU standards documents can testify to the need of a training course to explain how H.248 really works. This course already assumes knowledge of other VoIP protocols and starts by positioning H.248 in relation to the other protocols. The course then looks at H.248 architectures and concepts before analysing H.248 messages and call flows. What will you learn Describe what H.248 is Recognise where H.248 fits in relation to other VoIP protocols. Explain how H.248 works. Analyse H.248 packets Total H.248 training course details Who will benefit: Technical staff working with H.248 Prerequisites: Voice Over IP. Duration 2 days Total H.248 training course contents What is H.248? Review of VoIP protocols: RTP, RTCP, SIP, SDP, H.323. The PSTN and SS7. Where H.248 fits into the picture. H.248 history. MGCP. The IETF. Megaco. ITU standards. H.248v1, v2, v3. H.248 architectures Media Gateways, Media Gateway Controllers, Gateway Control functions, Signalling Gateways. Reference architectures: IMS/TISPAN: IBCF, IWF, I-BGF, SPDF. MSF: S-SBG-NC, D-SBG-NC. GSMA: IPX Proxy. Softswitches. H.248 concepts The connection model, terminations, streams, contexts. Termination properties: descriptors, context properties. Events, signals, packages. H.248 messages Protocol stack, UDP, TCP. Message structure. Transactions, actions, commands. Requests, replies, acknowledgements. Sample message flows. Binary encoding, ASN syntax, Text encoding. H.248 commands Termination manipulation: Add, Subtract, Move, Modify. Event reporting: Notify. Management: AuditCapability, AuditValue, ServiceChange. H.248 Descriptors What are descriptors? Relationship with messages and commands. Basic descriptors, Descriptors composed of other descriptors. The 19 descriptors. Defaults. H.248 Transactions Groups of commands, transaction Ids, relationship with actions and commands. Requests and replies. H.248 wrap up What is a package? Basic packages. H.248 security. H.248 - SIP interoperation. H.248 interoperation with other protocols.
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Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this Course: One payment, but lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home What other courses are included with this Course? Level 2 Microsoft Office Essentials Microsoft Teams Leadership & Management Diploma Working from Home Essentials Mental Health and Working from Home Online Meeting Management Effective Communication Skills Time Management Report Writing Emotional Intelligence and Human Behaviour Curriculum ***Data Science Course Bundle 2022*** Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview Set-up the Environment for the Course (lecture 1) Set-up the Environment for the Course (lecture 2) Two other options to setup environment Python Essentials Python data types Part 1 Python Data Types Part 2 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) Python Essentials Exercises Overview Python Essentials Exercises Solutions Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. NumPy arrays, built-in methods, array methods and attributes. Indexing, slicing, broadcasting & boolean masking Arithmetic Operations & Universal Functions Exercises Overview Exercises Solutions Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. Pandas Introduction Pandas Data Structures - Series Pandas Data Structures - DataFrame Handling Missing Data Data Wrangling - Combining, merging, joining Groupby Useful Methods and Operations Project 1 (Overview) Customer Purchases Data Project 1 (Solutions) Customer Purchases Data Project 2 (Overview) Chicago Payroll Data Project 2 (Solutions Part 1) Chicago Payroll Data Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach Matplotlib Essentials - Exercises Overview Matplotlib Essentials - Exercises Solutions Python for Data Visualization using Seaborn Introduction & Installation Distribution Plots Categorical Plots (Part 1) Categorical Plots (Part 2) Axis Grids Matrix Plots Regression Plots Controlling Figure Aesthetics Exercises Overview Exercise Solutions Python for Data Visualization using pandas Pandas Built-in Data Visualization Pandas Data Visualization Exercises Overview Panda Data Visualization Exercises Solutions Python for interactive & geographical plotting using Plotly and Cufflinks Interactive & Geographical Plotting (Part 1) Interactive & Geographical Plotting (Part 2) Interactive & Geographical Plotting Exercises (Overview) Interactive & Geographical Plotting Exercises (Solutions) Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Typesâ¦.. Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff Linear Regression Model - Hands-on (Part 1) Linear Regression Model Hands-on (Part 2) Good to know! How to save and load your trained Machine Learning Model! Linear Regression Model (Insurance Data Project Overview) Linear Regression Model (Insurance Data Project Solutions) Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityâ¦etc. Logistic Regression Model - Hands-on (Part 1) Logistic Regression Model - Hands-on (Part 2) Logistic Regression Model - Hands-on (Part 3) Logistic Regression Model - Hands-on (Project Overview) Logistic Regression Model - Hands-on (Project Solutions) Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality â¦. K Nearest Neighbors - Hands-on K Nearest Neighbors (Project Overview) K Nearest Neighbors (Project Solutions) Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Baggingâ¦. Decision Tree and Random Forests - Hands-on (Part 1) Decision Tree and Random Forests (Project Overview) Decision Tree and Random Forests (Project Solutions) Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) Support Vector Machines - Hands-on (SVMs) Support Vector Machines (Project 1 Overview) Support Vector Machines (Project 1 Solutions) Support Vector Machines (Optional Project 2 - Overview) Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method â¦.. K Means Clustering - Hands-on K Means Clustering (Project Overview) K Means Clustering (Project Solutions) Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) Principal Component Analysis (PCA) - Hands-on Principal Component Analysis (PCA) - (Project Overview) Principal Component Analysis (PCA) - (Project Solutions) Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance Python for Recommender Systems - Hands-on (Part 1) Python for Recommender Systems - - Hands-on (Part 2) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) NLP-Challenges, Data Sources, Data Processing â¦.. Feature Engineering and Text Preprocessing in Natural Language Processing NLP - Tokenization, Text Normalization, Vectorization, BoWâ¦. BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes ⦠Pipeline feature to assemble several steps for cross-validation⦠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 (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? There is no experience or previous qualifications required for enrolment on this Data Science Course Bundle 2022. It is available to all students, of all academic backgrounds. Requirements Our Data Science Course Bundle 2022 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Certificates Certificate of completion Digital certificate - Included
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.
This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.
QSIG training course description A concise overview of QSIG, covering the development, current use and future of this private network signalling protocol. What will you learn Describe the use of QSIG. Describe the evolution of QSIG. Describe functionality of the QSIGProtocol Stack. Describe functionality and use of the main Supplementary Services and Additional Network Functions within QSIG. QSIG training course details Who will benefit: Network/Systems Engineers Operators/Planners or anyone working within the QSIG Arena. Prerequisites: Telecommunications Introduction Duration 1 day QSIG training course contents Introduction What is QSIG? User benefits, flexible interconnection, public ISDN synergy, feature transparency-end to end intelligence, innovation specialist features - heterogeneous environment. Evolution of QSIG Evolution of QSIG, ISDN PBX Networking, Specification forum (IPNS), QSIG standardisation. The ITU-T reference model extended for corporate networks. QSIG Protocol Q Protocol stack, QSIG basic call layer 3 - SubLayer 1, QSIG Generic Functional layer 3 Sub-Layer 2 (GF), QSIG protocols for supplementary services & ANF's- Layer 3, Sub-Layer 3, Layer 3 Message Overview. Supplementary Services and ANFs QSIG supplementary services standardisation methodology. QSIG Services and additional network features: Advice of charge, Call Completion, (CCBS, CCNR), Call Forwarding and diversion (CFB, CFNR, CFU, CD), Services (CINT, CI, CO, CT, CW, DDI) Services cont. (DND, DNDO), Identification Services - (CLIP, COLP, CLIR, CNIP, CONP, CNIR), Other QSIG services and additional network features (Mobile, Multi Subscriber Number (MSN), Operator Services, Recall (RE), Sub-Addressing (SUB)), User to user signalling, compliance with services. Conclusion - QSIG1 FAQ's, European Computer Manufacturers Association. The Future.
ð Unlock Your Business Potential with Strategic Sales Mastery: Elevate Your Business Growth - Workshop! ð Are you ready to revolutionize your approach to sales and catapult your business to new heights? Introducing the ultimate game-changer: the Strategic Sales Mastery online workshop! ð Why Strategic Sales Mastery? In today's competitive business landscape, mastering the art of sales is non-negotiable. The Strategic Sales Mastery workshop is meticulously designed to equip you with the knowledge, skills, and strategies needed to not just survive but thrive in the dynamic world of sales. ð What You'll Gain: ⨠Proven Strategies: Learn battle-tested sales strategies that have propelled businesses to unprecedented growth. ⨠Masterful Techniques: Acquire powerful techniques to establish rapport, overcome objections, and close deals with finesse. ⨠Adaptability: Gain insights on adapting your sales approach to different industries, markets, and customer profiles. ⨠Effective Communication: Hone your communication skills to connect with clients on a deeper level and foster long-lasting relationships. ⨠Tech Integration: Discover cutting-edge technologies and tools to streamline your sales process and stay ahead of the curve. ð¥ Features of the Workshop: ð Comprehensive Curriculum: Our expertly crafted curriculum covers everything from foundational sales principles to advanced negotiation tactics. ð Interactive Learning: Engage in real-world simulations, case studies, and interactive exercises to reinforce your learning. ð Live Q&A Sessions: Get your burning questions answered by industry experts during live Q&A sessions. ð Lifetime Access: Enjoy lifetime access to workshop materials, updates, and a dedicated community for ongoing support and networking. ð¡ Who Should Attend: Entrepreneurs and Business Owners Sales Professionals and Executives Marketing and Business Development Teams Anyone eager to take their sales skills to the next level! ð Invest in Your Success: Your business deserves the best, and the Strategic Sales Mastery workshop is your key to unlocking unprecedented success. Don't miss this opportunity to elevate your sales game and propel your business toward unlimited growth! ð¨ Limited Seats Available! Secure Your Spot Now! Course Curriculum Part 01- Introduction Importance of a Selling Strategies 00:00 Part 01- Selling Strategies Explained Direct and Indirect Models 00:00 Selling Models of Well Known Companies 00:00 Why Selling Strategy Matters 00:00 Choosing Your Sales Model 00:00 Do a Feasibility Check 00:00 What Investors care about 00:00 Keys to Success 00:00 Additional Selling Strategies 00:00 Part 02- Determine Your Selling Model(s) Determine Your Selling Model - Overview 00:00 Selling Model #1 - Online 00:00 Selling Model #2 - Retail 00:00 Selling Model #3 - InsideOutside Sales 00:00 Selling Model #4 - Distributors 00:00 Selling Model #5 - Resellers 00:00 Selling Model #6 - Partners or System Integrator 00:00 Selling Model #7 - Independent Rep Manufacturer Rep 00:00 Selling Model #8 - OEM White Label 00:00 Part 03- The Selling Strategy Framework Creating a Selling Strategy Framework 00:00 Step 1 - Determine Your Selling Model 00:00 Step 2 - Analyzing Your Competition 00:00 Step 3 - Examine the Costs 00:00 Step 4 - Internal Consistency 00:00 Step 5 - Creating Your Selling Strategy 00:00 Part 03- Workshop Workshop - Create Your Selling Strategy 00:00
Innovation Project Management: Virtual In-House Training Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. Innovation is needed and someone must manage these innovation projects. Over the past two decades, there has been a great deal of literature published on innovation and innovation management. Converting a creative idea into reality requires projects and some form of project management. Unfortunately, innovation projects, which are viewed as strategic projects, may not be able to be managed using the traditional project management philosophy we teach in our project management courses. There are different skill sets needed, different tools, and different life-cycle phases. Innovation varies from industry to industry and even companies within the same industry cannot come to an agreement on how innovation project management should work. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. What you Will Learn Explain the links needed to bridge innovation, project management, and business strategy Describe the different types of innovation and the form of project management each require Identify the differences between traditional and innovation project management, especially regarding governance, human resources management challenges, components of an innovative culture and competencies needed by innovation project managers Establish business value and the importance of new metrics for measuring and reporting business value Relate innovation to business models and the skills needed to contribute in the business model development Recognize the roadblocks affecting innovation project management and their cause to determine what actions can be taken Determine the success and failure criteria of an innovation project Foundation Concepts Understanding innovation Role of innovation in a company Differences between traditional (operational) and strategic projects Innovation management Differences between innovation and R&D Differing views of innovation Why innovation often struggles Linking Innovation Project Management to Business Strategy The business side of innovation project management The need for innovation targeting Getting close to the customers and their needs The need for line-of-sight to the strategic objectives The innovation enterprise environmental factors Tools for linking Internal Versus External (Co-creation) Innovation Open versus closed innovation Open innovation versus crowdsourcing Benefits of internal innovation Benefits of co-creation (external) innovation Selecting co-creation partners The focus of co-creation The issues with intellectual property Understanding co-creation values Understanding the importance of value-in-use Classification of Innovations and Innovation Projects Types of projects Types of innovations Competency-enhancing versus competency-destroying innovations Types of innovation novelty Public Sector of Innovation Comparing public and private sector project management Types of public service innovations Reasons for some public sector innovation failures An Introduction to Innovation Project Management Why traditional project management may not work The need for a knowledge management system Differences between traditional and innovation project management Issues with the 'one-size-fits-all' methodology Using end-to-end innovation project management Technology readiness levels (TRLs) Integrating Kanban principles into innovation project management Innovation and the Human Resources Management Challenge Obtaining resources Need for a talent pipeline Need for effective resource management practices Prioritizing resource utilization Using organizational slack Corporate Innovation Governance Types of innovation governance Business Impact Analysis (BIA) Innovation Project Portfolio Management Office (IPPMO) Using nondisclosure agreements, secrecy agreements, confidentiality agreements, and patents Adverse effects of governance decisions Innovation Cultures Characteristics of a culture for innovation Types of cultures Selecting the right people Linking innovation to rewards Impact of the organizational reward system Innovation Competencies Types of innovation leadership The need for active listening Design thinking Dealing with ambiguity, uncertainty, risks, crises, and human factors Value-Based Innovation Project Management Metrics Importance of innovation project management metrics Understanding value-driven project management Differences between benefits and value - and when to measure Traditional versus the investment life cycle Benefits harvesting Benefits and value sustainment Resistance to change Tangible and intangible innovation project management metrics Business Model Innovation Business model characteristics Impact of disruptive innovation Innovation Roadblocks Roadblocks and challenges facing project managers Ways to overcome the roadblocks Defining Innovation Success and Failure Categories for innovation success and failure Need for suitability and exit criteria Reasons for innovation project failure Predictions on the Future of Innovation Project Management The Six Pillars of changing times Some uses for the new value and benefits metrics
Play an important part in keeping active older adults healthy! There are currently over 54 million adults over the age of 65 living in the United States, and that number is projected to continue to grow. Senior Fitness Specialists have a unique opportunity to work with the growing older adult population and help them improve their health by providing safe and effective exercise programs that use NASM’s Optimum Performance Training (OPT™) Model program. Our Senior Fitness Specialization provides an immersive online learning experience for fitness professionals, teaching innovative ways to design individualized programs to meet the needs of active aging adults through evidence-based practices. Addressing physiological and psychological needs, this course will provide the application needed to create a positive, comfortable trainer-client relationship and help older adult clients achieve their goals and overcome obstacles.
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