1628 Database courses in Bushey delivered Online

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Description: Are you not familiar with Office 2016 and want to learn every single detail of it? Then you are at the right place! Office 2016 Complete Course is designed for beginners to educate about Microsoft Office 2016. Initially, you will learn about the basic features of Microsoft Word such as creating a new document, personalizing the Microsoft Word interface, adding graphics, controlling page appearance, proofing and editing a document. Following that, you will learn about the foundations of Microsoft Office Excel that is essential to create and work with an electronic spreadsheet. You will be able to insert and delete text or images, create columns, rows and much more. Microsoft PowerPoint will help you in navigating the PowerPoint environment, create and save PowerPoint presentation, etc. Microsoft Outlook will help you to set up and use Outlook on Windows, also assist you in creating and sending messages, managing contacts, working with notes, etc. You will learn related information to access Microsoft Office 2016. Additionally, you will learn Project management basics, adding tasks and resources to a project and saving them. In the course, you will learn the essential features of the latest version of Microsoft Visio and the basic information about the diagramming software. Learning Outcomes: Word 2016 user interface, creating basic documents and utilizing help Managing text through modifying, finding and replacing, and selecting them; and arranging texts through tabs and lists Understanding the commands on the home tab and mini toolbar Paragraph layout tool, borders, shading, styles and formatting management techniques Maximizing your ability to utilize tables within Word 2016 Inserting symbols and special characters along with techniques for adding them Managing your page's appearance with colours, borders, watermarks, headers, footers and page setup dialog box Reviewing documents through spell check, research pane and thesaurus Document accessibility options Customizing the user interface, modifying save options and managing other file types Familiarize the excel user interface, creating basic worksheet and using the help system How to create formulas, reuse them and insert functions in a worksheet Managing cells, columns and rows and ways to manipulate data Utilizing the 'Search and replace' data options and spell checking Modifying fonts, adding borders and colours to cells, using number formats, aligning cell contents and applying cell styles Define and refine page layouts for printing options Managing large workbooks through worksheet tab formatting and using different views Options for general customization, language, formula, proofing and saving Customizing Quick Access toolbar, ribbon, advanced and Trust Center options Utilize Excel's version control features and enabling add-ins Utilize the PowerPoint user interface, creating and saving presentations, and using help Making presentations through presentation options like selecting types, building it, layouts, text editing, viewing and navigation Discover methods for formatting characters, paragraphs, and text boxes Adding images, screenshots, screen recordings, shapes and WordArt Modifying options for objects and animation features Creating and formatting a table and integrating data from other Microsoft Office applications Create format and manipulate a chart Navigate throughout the Outlook user interface and learn to perform basic email functions and utilize help Composing emails, grammar and spell checks, formatting content, attaching files, enhancing messages and managing automatic message responses Customize reading options, work with attachments and manage message responses Managing and organization of messages with the help of tags, flags, other commands and folders Using calendar options to manage appointments and meetings Using People workspace to create, update, view and organise contacts Managing tasks and notes Creating and managing Quick Steps, and customizing the interface according to needs Get familiarized with Microsoft Access 2016, create simple databases, and use the help options Change table data, manage records and create lookups Join data from different tables, sort and filter them, and perform calculations for queries Creating, adding controls, enhancing appearance and print preparation for reports How to utilize Access Options dialog box Relational database design, creating tables, managing table fields and creating table relationships Creating query joins and subqueries, joining tables with no common fields, relating data within a table, and working with sub datasheets Data normalization and creating junction tables Sharing Access data with other applications and through import and export options Managing reports through organizing information, formatting, including charts, adding calculated fields and sub-report inclusion to existing ones Create mailing label report and publishing reports in PDF format Project management basics, navigating and customizing the user interface, adding tasks and resources to a project and saving them Managing project time frames and changing working time Managing project tasks, adding summary tasks and milestones Managing project resources, allocating and levelling work resources Sharing and exporting projects, and adjusting project print views Navigation throughout Visio interface, creating basic drawing and using the help system Drawing components, modifying drawings and work with callouts and groups Organization charts creation, modifying their layouts, positioning and spacing Create and integrate organization chart copies and compare them Making a basic floor plan and custom room shapes, utilizing the program as a modelling tool and modelling room layouts Creating cross-functional flowcharts and related features like - swimlanes and separators Altering orientation and direction, changing margins and choosing styles for flowcharts Creating network diagrams, and utilizing shape data and layers Other network diagram relevant topics such as network shapes, shape data, adding layers, activating, colouring and more Working with shape, connector styles, themes, variants and containers Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Office 2016 Complete Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Office 2016 Complete Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

Description: This VMware Ultimate Bootcamp vSphere 4 will help you to learn advanced virtualization concepts and explores the VMware vSphere 4.0 product suite. The objective is to instill the knowledge required for you to do your job efficiently and effectively, starting from installation of the product to real-world troubleshooting issues. The focus is not limited only to learning and harnessing the power of VMware but the entire concept of virtualization, and other 3rd party tools and technologies that will enhance VMware capabilities and increase the student's virtualization expertise. You will be introduced with Expert Lectures, Certificate Of Completion, PowerPoint Visuals, Demonstrations, Review Quizzes, Mobile Access, Workbooks, and more. This comprehensive series will prepare you to become a certified professional virtualization expert. You can join this course to Experience the comprehensive content included in multiple VMware vSphere. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 4 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Series Introduction and Methodology Series Methodology 00:15:00 Virtualization Overview Virtualization Overview 00:37:00 Planning and Installing ESX Planning the ESX Deployment 00:14:00 vSphere 4 Deployment Guidelines 00:38:00 ESX Installation 00:06:00 ESX Management 00:06:00 Configuring Hostname Resolution and NTP 00:03:00 Troubleshooting ESX Server 00:08:00 Tools to Administer ESX Overview of 3rd Party Tools 00:31:00 ESX Configuration Commands 00:26:00 Configuring Networking Creating and Modifying Virtual Networks 00:46:00 Creating and Modifying Virtual Networks Using CLI 00:08:00 Configuring Storage Storage Concepts 00:13:00 iSCSI Storage (GUI and Command Line) 00:21:00 Fibre Channel Storage 00:05:00 VMFS Datastores (GUI and Command Line) 00:24:00 NAS Storage and NFS Datastores (GUI and Command Line) 00:12:00 Raw Device Mapping (RDM) 00:04:00 vCenter Server and Licensing Licensing 00:09:00 vCenter Server Installation 00:11:00 vCenter Server Inventory 00:04:00 Managing vCenter Server 00:11:00 Planning vCenter Server Deployment 00:10:00 Troubleshooting vCenter Server and Database 00:06:00 Troubleshooting the vSphere Client 00:03:00 VM Creation Configuration and Snapshots Create a VM 00:26:00 Create Multiple VMs, Templates and Clones 00:16:00 Virtual Appliances 00:04:00 VMware Converter (P2V - V2V) 00:15:00 Manage VMs 00:19:00 VM Startup Shutdown 00:03:00 VM Snapshots 00:08:00 Web Access 00:08:00 VM Troubleshooting 00:05:00 Security and Permissions Controlling User Access and Passwords 00:22:00 ESX Active Directory (AD) Integration 00:03:00 Managing Firewalls 00:07:00 SSH Access 00:06:00 Running Elevated Commands (su sudo setuid setgid) 00:08:00 VMsafe and vShield Zones 00:04:00 Advanced ESX and vCenter Management Configuring Vmotion 00:16:00 Storage VMotion 00:07:00 Distributed Resource Scheduler (DRS) Cluster 00:13:00 Resource Pools and Monitoring 00:24:00 vNetwork Distributed Virtual Switches 00:08:00 Host Profiles 00:03:00 Linked Mode Group of vCenter Servers 00:03:00 Patching and Upgrading ESX Patching ESX Server 00:04:00 Patching with Update Manager 00:14:00 Upgrades and Migrations 00:14:00 Disaster Recovery and Backup Site Recovery Manager (SRM) 00:03:00 High Availability (HA) 00:21:00 VM Fault Tolerance 00:04:00 Microsoft Clustering 00:03:00 Backup Strategies 00:08:00 Using VCB Command Line Utilities 00:06:00 VMware Data Recovery 00:05:00 Third Party Backups 00:06:00 Server and VM Monitoring Tools for Optimization 00:28:00 VM Performance Monitoring 00:16:00 Configuring Alarms 00:07:00 ESX and vCenter Logs 00:14:00 Installing and Configuring ESXi ESXi Overview 00:04:00 ESXi Installation 00:06:00 ESXi Management 00:10:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

🚀 Unlock the Secrets to Rapid Growth with 'List Building' Course! 🚀 Are you ready to skyrocket your business to new heights? Imagine having a powerful tool at your disposal that can consistently attract, engage, and convert your ideal audience into loyal customers. Look no further than our groundbreaking course, 'List Building'! 🌟 In today's digital age, building and nurturing a robust email list is the cornerstone of successful marketing strategies. Whether you're an entrepreneur, small business owner, marketer, or aspiring influencer, mastering the art of list building is non-negotiable for sustainable growth and profitability. 📈   🔥 Why List Building Matters: Your email list is your most valuable asset in the digital realm. It's not just about collecting email addresses; it's about cultivating relationships, delivering value, and driving conversions. With a targeted and engaged list, you have the power to: Increase Revenue: Convert leads into paying customers with targeted email campaigns that speak directly to their needs and interests. Build Authority: Establish yourself as an industry leader by consistently delivering valuable content and nurturing meaningful connections with your audience. Boost Engagement: Keep your audience engaged and excited about your brand with personalized emails, exclusive offers, and compelling storytelling. Drive Traffic: Direct qualified leads to your website, blog, or landing pages, amplifying your online presence and driving organic traffic. Maximize ROI: Achieve a higher return on investment from your marketing efforts by leveraging the cost-effectiveness and high-conversion rates of email marketing.   🎯 Who is this for? Our 'List Building' course is tailored for anyone looking to unlock the full potential of email marketing and take their business or brand to the next level. Whether you're a: Entrepreneur: Launching a startup or scaling your business? Mastering list building is essential for attracting and retaining customers. Small Business Owner: Strengthen your customer relationships, drive repeat purchases, and increase brand loyalty with targeted email campaigns. Marketer: Enhance your marketing skills and stay ahead of the curve in a rapidly evolving digital landscape. Aspiring Influencer: Build a loyal fan base, monetize your content, and turn followers into loyal subscribers with compelling email strategies. No matter your industry or niche, if you have a product, service, or message to share, this course is your ticket to success! 💼   🚀 Career Path: Elevate your career prospects and open doors to new opportunities with a solid foundation in list building and email marketing. Upon completing our course, you'll be equipped with the knowledge and skills to: Advance Your Career: Stand out in the job market and secure high-paying roles in digital marketing, content creation, or social media management. Launch Your Business: Turn your entrepreneurial dreams into reality by leveraging the power of email marketing to grow your customer base and increase sales. Expand Your Network: Connect with industry experts, thought leaders, and like-minded professionals to collaborate on projects, exchange ideas, and explore new business ventures. Achieve Financial Freedom: Take control of your financial future by mastering list building techniques that generate consistent revenue streams and passive income opportunities.   Don't let another day go by without harnessing the full potential of email marketing to fuel your success! Enroll in our 'List Building' course today and unlock the keys to sustainable growth, profitability, and long-term success. 🌟 🔑 Ready to take the plunge? Join us on this transformative journey and start building your empire one email at a time! 💌   FAQ (Frequently Asked Questions) for List Building Course Q1: What is list building, and why is it important for my business? List building refers to the process of creating a database of contacts or subscribers who have expressed interest in receiving information, updates, or offers from your business. It typically involves collecting email addresses, but can also include other contact information such as phone numbers or social media handles. List building is crucial for businesses because it allows you to directly communicate with your audience, nurture relationships, and promote your products or services. Having a quality email list enables you to reach out to potential customers, increase brand awareness, and drive sales. Q2: How can I start building my email list from scratch? To start building your email list from scratch, you can implement various strategies such as creating lead magnets like ebooks or free guides to incentivize people to sign up, adding opt-in forms to your website or blog, running contests or giveaways, and promoting your email list on social media platforms. Additionally, you can leverage networking events, webinars, and other opportunities to collect email addresses from interested individuals. It's essential to offer valuable content and make it easy for people to subscribe to your list to maximize your sign-up rate. Q3: What are some best practices for list building and email marketing? Some best practices for list building and email marketing include obtaining explicit consent from subscribers before adding them to your list (ensuring compliance with privacy regulations such as GDPR or CAN-SPAM), personalizing your email content to cater to the interests and preferences of your audience, segmenting your email list based on demographics, behaviors, or purchase history to send targeted messages, and regularly cleaning your list to remove inactive or unengaged subscribers. Additionally, it's crucial to monitor your email deliverability, open rates, and click-through rates to optimize your campaigns for better results. Q4: How do I grow and maintain my email list over time? To grow and maintain your email list over time, you can continue implementing list-building strategies such as creating fresh and relevant content, offering exclusive deals or promotions to subscribers, engaging with your audience through email newsletters or automated sequences, and encouraging subscribers to refer their friends or colleagues. It's also essential to regularly evaluate and adjust your tactics based on your analytics data and feedback from subscribers to ensure sustained growth and engagement. Q5: What tools and platforms can I use for effective list building and email marketing? There are various tools and platforms available to help you with list building and email marketing, including email marketing software like Mailchimp, Constant Contact, or ConvertKit, which offer features such as customizable opt-in forms, automated email sequences, and analytics tracking. Additionally, you can use lead generation plugins for your website or landing page builders like Leadpages or Unbounce to create high-converting opt-in pages. Social media advertising platforms such as Facebook Ads or LinkedIn Ads can also be effective for reaching new audiences and driving traffic to your opt-in forms. It's essential to choose tools that align with your business goals, budget, and technical requirements to maximize your list-building efforts. Course Curriculum Module 1 Simple Ways To Build Your List Simple Ways To Build Your List 00:00 Module 2 Mailing and Subscriber Lists Mailing and Subscriber Lists 00:00 Module 3 Learning The Ropes Learning The Ropes 00:00 Module 4 Double Opt-In Lists Double Opt-In Lists 00:00 Module 5 Maintaining Your Opt-In List Maintaining Your Opt-In List 00:00

Description: This VMware Ultimate Bootcamp vSphere 4.1 will teach you advanced virtualization concepts and explore the VMware vSphere 4.1 product suite. The course objective is to install the knowledge required for you to do your job effectively and effectively, starting from installation of the product to real-world troubleshooting issues. The course focus is not limited only to learning and harnessing the power of VMware but the entire concept of virtualization, and other 3rd party tools and technologies that will enhance VMware capabilities and increase the student's virtualization expertise. In this course you will be introduced with Expert Lectures, Certificate of Completion, PowerPoint Visuals, demonstrations, Review Quizzes, Mobile Access, work books, and more. This course will help you to prepare yourself to become a certified professional virtualization expert. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 4.1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Introduction and Methodology Learn IT! Do IT! Know IT! FREE 00:06:00 Virtualization Overview Why Virtualize 00:46:00 Planning and Installing ESX/ESXi Planning the ESX ESXi Deployment 00:12:00 vSphere 4.1 Deployment Guidelines 00:12:00 vSphere Hypervisor (ESXi) Installation 00:05:00 ESX Installation 00:20:00 Configuring Hostname Resolution and NTP 00:08:00 Troubleshooting ESX ESXi 00:11:00 Using Tools to Administer a VMware Environment Overview of 3rd Party Tools 00:10:00 ESX ESXi Management 00:21:00 Linux Command Review 00:07:00 Troubleshooting the vSphere Client (VIC) 00:02:00 Configuring Networking Creating & Modifying Virtual Networks 00:31:00 Creating & Modifying Virtual Networks Using CLI 00:27:00 Configuring Storage Storage Concepts 00:26:00 iSCSI Storage (GUI & Command Line) 00:38:00 Fibre Channel Storage 00:09:00 VMFS Datastores (GUI & Command Line) 00:29:00 NAS Storage and NFS Datastores (GUI & Command Line) 00:11:00 Raw Device Mapping (RDM) 00:04:00 vCenter Server 4.1 and Licensing Licensing 00:16:00 vCenter Server Installation 00:13:00 vCenter Server Inventory 00:34:00 Managing vCenter Server 00:08:00 Planning vCenter Server Deployment 00:07:00 Troubleshooting vCenter Server and Database 00:12:00 VM Creation, Configuration, and Snapshots Create a VM 00:27:00 Create Multiple VMs, Templates, & Clones 00:10:00 Virtual Appliances 00:22:00 VMware Converter (P2V - V2V) 00:20:00 Manage VMs 00:22:00 Virtual Machine Startup/Shutdown 00:07:00 Virtual Machine Snapshots 00:18:00 Web Access 00:13:00 Virtual Machine Troubleshooting & Best Practices 00:03:00 Security and Permissions Controlling User Access and Passwords 00:39:00 ESX ESXi Active Directory (AD) Integration 00:10:00 Managing Firewalls 00:11:00 SSH Access 00:06:00 Running Elevated Commands (su, sudo, setuid setgid) 00:07:00 VMsafe and vShield Zones 00:09:00 Server and VM Monitoring Optimizing Resources 00:31:00 Performance Monitoring 00:32:00 Configuring Alarms 00:07:00 ESXi ESX and vCenter Logs 00:10:00 Advanced ESX/ESXi and vCenter Management Storage Views & Topology Maps 00:09:00 Storage vMotion 00:13:00 Configuring vMotion 00:16:00 Distributed Resource Scheduler (DRS) Cluster 00:22:00 vNetwork Distributed Virtual Switches 00:27:00 Host Profiles 00:10:00 Linked Mode Group of vCenter Servers 00:04:00 Patching and Upgrading ESX Patching ESX ESXi Standalone Hosts 00:07:00 Patching with Update Manager 00:24:00 Upgrades and Migrations 00:18:00 Disaster Recovery and Backup Site Recovery Manager (SRM) 00:07:00 High Availability (HA) 00:19:00 VM Fault Tolerance 00:06:00 Microsoft Clustering 00:04:00 Backup Strategies 00:01:00 Using VCB Command Line Utilities 00:05:00 VMware Data Recovery 00:24:00 Third Party Backups 00:07:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 4.1 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 4.1 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson

Advance your data skills by mastering Spark programming in Python. This beginner's level course will help you understand the core concepts related to Apache Spark 3 and provide you with knowledge of applying those concepts to build data engineering solutions.

Unlock the power of data with our 'Sales Analysis in Excel' course. Dive into e-commerce sales analysis and craft insightful sales analysis reports. Discover how to manipulate sales data, forecast trends, and automate workbook functionality. Elevate your career with advanced Excel skills! Learning Outcomes of Sales Analysis in Excel: Master data manipulation techniques for e-commerce sales analysis. Create comprehensive sales reports with Excel's advanced functions. Visualize data effectively using charts, PivotTables, and PivotCharts. Forecast future trends and make data-driven decisions. Automate repetitive tasks to boost efficiency and productivity. Why buy this Sales Analysis in Excel? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Sales Analysis in Excel there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Business analysts seeking to enhance their data analysis skills. Sales professionals aiming to leverage Excel for deeper insights. Aspiring data scientists interested in e-commerce sales data. Students and graduates looking to gain a competitive edge. Entrepreneurs striving to optimize their sales strategies. Prerequisites This Sales Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Sales Analysis in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £50,000 Per Annum Sales Analyst: £25,000 - £45,000 Per Annum Financial Analyst: £30,000 - £55,000 Per Annum Market Research Analyst: £25,000 - £40,000 Per Annum Excel Specialist: £22,000 - £35,000 Per Annum Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Welcome to the Course 00:03:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00

Unleash the power of data with our Data Analysis in Excel course, where you'll journey through the realm of spreadsheet analysis and uncover the secrets hidden within your data. In today's data-driven world, the ability to navigate, interpret, and extract insights from data is a coveted skill. Whether you're a professional looking to enhance your analytical capabilities or a student aiming to excel in data-driven fields, this course empowers you to harness Excel's full potential for data analysis. From modifying worksheets to forecasting future trends, you'll master the art of data manipulation, visualization, and analysis with confidence and precision. Learning Outcomes Master the art of modifying Excel worksheets to suit your data analysis needs. Discover advanced data analysis techniques, including working with lists and lookup functions. Create compelling data visualizations using charts, PivotTables, and PivotCharts. Effortlessly manage multiple worksheets and workbooks, making data organization a breeze. Apply data forecasting techniques and automate workbook functionality, saving time and boosting productivity. Why choose this Data Analysis in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Data Analysis in Excel course for? Professionals seeking to enhance their data analysis skills. Students preparing for careers in data-driven industries. Analysts, researchers, and data enthusiasts eager to upskill. Business professionals looking to make data-driven decisions. Anyone interested in harnessing Excel for powerful data analysis. Career path Data Analyst: £25,000 - £47,000 Business Analyst: £26,000 - £50,000 Financial Analyst: £26,000 - £56,000 Market Research Analyst: £24,000 - £40,000 Operations Analyst: £23,000 - £48,000 Business Intelligence Analyst: £27,000 - £56,000 Prerequisites This Data Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Recommended Materials Workbook - Data Analysis in Excel 00:00:00 Assignment Assignment - Data Analysis in Excel 00:00:00

This course is designed for project managers and planners who need to plan and manage projects without resources in Oracle Primavera P6 PPM. You will learn how to navigate the user interface, create project plans, define activities, and manage project timelines without relying on resource constraints.