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In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

Duration 2 Days 12 CPD hours Overview Identify and configure basic functions of Tableau. Connect to data sources, import data into Tableau, and save Tableau files Create views and customize data in visualizations. Manage, sort, and group data. Save and share data sources and workbooks. Filter data in views. Customize visualizations with annotations, highlights, and advanced features. Create and enhance dashboards in Tableau. Create and enhance stories in Tableau As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets?. Lesson 1: Tableau Fundamentals Topic A: Overview of Tableau Topic B: Navigate and Configure Tableau Lesson 2: Connecting to and Preparing Data Topic A: Connect to Data Topic B: Build a Data Model Topic C: Save Workbook Files Topic D: Prepare Data for Analysis Lesson 3: Exploring Data Topic A: Create Views Topic B: Customize Data in Visualizations Lesson 4: Managing, Sorting, and Grouping Data Topic A: Adjust Fields Topic B: Sort Data Topic C: Group Data Lesson 5: Saving, Publishing, and Sharing Data Topic A: Save Data Sources Topic B: Publish Data Sources and Visualizations Topic C: Share Workbooks for Collaboration Lesson 6: Filtering Data Topic A: Configure Worksheet Filters Topic B: Apply Advanced Filter Options Topic C: Create Interactive Filters Lesson 7: Customizing Visualizations Topic A: Format and Annotate Views Topic B: Emphasize Data in Visualizations Topic C: Create Animated Workbooks Topic D: Best Practices for Visual Design Lesson 8: Creating Dashboards in Tableau Topic A: Create Dashboards Topic B: Enhance Dashboards with Actions Topic C: Create Mobile Dashboards Lesson 9: Creating Stories in Tableau Topic A: Create Stories Topic B: Enhance Stories with Tooltips

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

Overview This comprehensive course on MS Access Tables and Queries for Beginner will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This MS Access Tables and Queries for Beginner comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this MS Access Tables and Queries for Beginner. It is available to all students, of all academic backgrounds. Requirements Our MS Access Tables and Queries for Beginner is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 20 lectures • 03:32:00 total length •Module 01: Tour of the screen: 00:11:00 •Module 02: Using Design view to create and edit tables: 00:45:00 •Module 03: Using the lookup wizard: 00:09:00 •Module 04: Importing data from Other Data Sources into Access: 00:18:00 •Module 05: Linking Tables from Other Data Sources into Access: 00:10:00 •Module 06: Exporting data from Access to other data types: 00:03:00 •Module 07: Creating and Managing Table Relationships: 00:10:00 •Module 08: Database Tools: 00:05:00 •Module 09: Sort and Filter a Table: 00:06:00 •Module 10: Basic Queries: 00:22:00 •Module 11: Prompting the user for the criteria: 00:05:00 •Module 12: Creating Calculated Fields in a Query: 00:10:00 •Module 13: Creating Totals Queries: 00:08:00 •Module 14: Multiple table Queries: 00:12:00 •Module 15: Viewing the SQL code for an Access Query: 00:06:00 •Module 16: Using the Query Wizards: 00:09:00 •Module 17: Creating Subqueries: 00:03:00 •Module 18: Creating Make Table, Append, Update and Delete Queries: 00:19:00 •Module 19: Displaying a certain number of records: 00:01:00 •Assignment - MS Access Tables and Queries for Beginner: 00:00:00

Welcome to the world of machine learning, Java, and Python programming! This exciting bundle offers a comprehensive learning experience with a variety of courses that will equip you with the knowledge and skills needed to excel in these fields. Within this bundle, you will find a total of eight courses, including three QLS-endorsed courses and five relevant CPD QS-accredited courses. The three QLS-endorsed courses in this bundle are the Machine Learning with Python course, the Introduction to Java course, and the Diploma in Python Programming. These courses have been carefully curated and designed to provide you with a solid foundation in machine learning and programming using both Java and Python. Upon completion of these courses, you will receive hardcopy certificates to showcase your achievement. In addition to the QLS-endorsed courses, this bundle also includes five CPD QS-accredited courses. These courses are highly relevant to the field and will further enhance your understanding and expertise. They include Azure Machine Learning, Complete Python Machine Learning & Data Science Fundamentals, Machine Learning Model Using AWS SageMaker Canvas, Statistics & Probability for Data Science & Machine Learning, and 2021 Data Science & Machine Learning with R from A-Z. Key Features of the Machine Learning, Java and Python Programming Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Machine Learning, Java and Python Programming bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Machine Learning with Python QLS Course 02: Introduction to Java QLS Course 03: Diploma in Python Programming 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Machine Learning, Java and Python Programming courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain a comprehensive understanding of machine learning principles and algorithms. Develop proficiency in programming with Python and Java, and apply these skills to real-world projects. Explore the fundamentals of data science and statistical analysis. Learn how to leverage cloud-based platforms, such as Azure and AWS, for machine learning tasks. Build and deploy machine learning models using various frameworks and tools. Acquire practical knowledge in data preprocessing, feature selection, and model evaluation techniques. Gain expertise in using R for data science and machine learning applications. This bundle combines the power of machine learning, Java programming, and Python programming to provide you with a comprehensive skill set in these high-demand fields. With a total of eight courses, including three QLS-endorsed and five CPD QS-accredited courses, this bundle covers all the essential topics and techniques needed to succeed. Whether you are a beginner looking to enter the world of machine learning and programming or an experienced professional seeking to expand your knowledge and skills, this bundle has something for everyone. From understanding the fundamentals to applying advanced algorithms, you will gain a deep understanding of machine learning principles and the ability to develop robust applications using Java and Python. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in starting a career in machine learning, Java programming, or Python programming. Professionals seeking to enhance their skills and stay updated with the latest trends in these fields. Students pursuing degrees in computer science, data science, or related disciplines. Anyone looking to broaden their knowledge and explore the exciting field of machine learning and programming. Career path Machine Learning Engineer: £45,000 - £90,000 per year Data Scientist: £40,000 - £80,000 per year Java Developer: £30,000 - £70,000 per year Python Developer: £35,000 - £75,000 per year Cloud Solutions Architect: £50,000 - £100,000 per year Statistical Analyst: £35,000 - £65,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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Learning Objectives Introduction , Linking Workbooks and Worksheets , Working with Range Names , Sorting, Filtering, and Subtotaling , Analyzing and Organizing with Tables , Using Conditional Formatting , Displaying Data Graphically , Understanding PivotTables, PivotCharts, and Slicers , Working with Advanced PivotTables and PowerPivot Features , Conclusion   Pre-Requisites Excel 365 Introduction course or equivalent knowledge or experience.   Description In this course, students will learn how to link workbooks and worksheets, work with range names, sort and filter range data, and analyze and organize with tables. Students will also apply conditional formatting, outline with subtotals and groups, display data graphically with charts and sparklines. Additionally, students will also understand PivotTables, PivotCharts, and slicers and work with advanced PivotTables and PowerPivot features. Section 01 Lesson 01: Linking Workbooks and Worksheets 00:06:00 Lesson 02: Linking Workbooks with 3D References 00:05:00 Lesson 03: Understanding the Consolidate Feature 00:06:00 Section 02 Lesson 01: What are Range Names 00:04:00 Lesson 02: Creating Range Names Using the Name Box and Define Name 00:06:00 Lesson 03: Creating Range Names Using Create from Selection 00:03:00 Section 03 Lesson 01: Understanding the Differences Between Sorting and Filtering 00:03:00 Lesson 02: Sorting Lists 00:06:00 Lesson 03: Filtering Lists 00:08:00 Lesson 04: Creating Subtotals 00:06:00 Section 04 Lesson 01: Creating Tables and Understanding the Benefits 00:07:00 Lesson 02: Understanding the Elements of a Table 00:06:00 Lesson 03: Formatting a Table 00:08:00 Lesson 04: Sorting and Filtering Tables 00:03:00 Lesson 05: Filtering with Slicers 00:04:00 Lesson 06: Calculating with Tables 00:04:00 Lesson 07: Removing Erroneous Table Data 00:03:00 Lesson 08: Exporting, Refreshing, and Converting Tables 00:05:00 Section 05 Lesson 01: What is Conditional Formatting 00:04:00 Lesson 02: Conditional Formatting Highlight Cells and Top Bottom Rules 00:07:00 Lesson 03: Conditional Formatting Data Bars, Icon Sets, and Color Scales 00:06:00 Lesson 04: Using Custom Fonts and Colors 00:04:00 Lesson 05: Using Custom Conditional Formatting 00:06:00 Lesson 06: Modifying or Removing Conditional Formatting 00:05:00 Section 06 Lesson 01: What are Charts 00:05:00 Lesson 02: Creating Charts 00:06:00 Lesson 03: Understanding Chart Elements 00:05:00 Lesson 04: Modifying Chart Elements 00:09:00 Lesson 05: Changing and Moving Charts 00:04:00 Lesson 06: Filtering a Chart 00:04:00 Lesson 07: Formatting Charts 00:07:00 Lesson 08: Adjusting Numbering 00:06:00 Lesson 09: Creating Dual Axis Charts 00:05:00 Lesson 10: Forecasting with Trendlines 00:05:00 Lesson 11: Creating a Chart Template 00:04:00 Lesson 12: Displaying Trends with Sparklines 00:07:00 Section 07 Lesson 01: What is a PivotTable 00:06:00 Lesson 02: Creating a PivotTable 00:07:00 Lesson 03: Working with the PivotTable Fields Pane 00:09:00 Lesson 04: Basic Data Organization and Analysis with PivotTables 00:06:00 Lesson 05: Formatting PivotTables 00:06:00 Lesson 06: Creating a PivotChart 00:04:00 Lesson 07: Modifying and Formatting a PivotChart 00:04:00 Lesson 08: Adding Slicers and Timeline Slicers 00:03:00 Lesson 09: Formatting Slicers 00:04:00 Lesson 10: Using the Ideas Feature 00:03:00 Section 08 Lesson 01: Using the PivotTable and PivotChart Wizard 00:02:00 Lesson 02: Adding a Calculated Field 00:05:00 Lesson 03: Adding a Calculated Item 00:04:00 Lesson 04: Applying Conditional Formatting to a PivotTable 00:02:00 Lesson 05: Creating Filter Pages for a PivotTable_1 00:03:00 Lesson 06: Enabling the PowerPivot Add: In 00:06:00 Final Exam Final Exam - Excel 365 Intermediate 00:20:00

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Channel partners and reseller engineers installing, configuring, and maintaining scalable and resilient deployments of Cisco Meeting Server Channel partners and reseller engineers providing presales support for scalable and resilient Cisco Meeting Server deployments Customer engineers supporting scalable and resilient Cisco Meeting Server deployments Overview Upon completion of this course, the learner should be able to meet the following objectives: Cisco Meeting Server API commands Scalable and resilient deployments Customization Recording In this 3-day course Cisco Meeting Server Advanced (COLLAB350), you will learn advanced techniques in installing, troubleshooting, and maintaining a single server and single server split deployment of Cisco Meeting Servers. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Reviewing Cisco Meeting Server Intermediate Component parts of a Cisco Meeting Solution Configuration steps for a Cisco Meeting Solution Module 2: APIs Purpose of APIs Benefits of APIs Types of APIs Function of the GET, POST, PUT, and DELETE commands Module 3: Configuring Software with an API How a user can interact with software using an API Download and install Chrome Postman Other API software Download the Cisco Meeting Server API guide Module 4: Configuring Spaces with the Cisco Meeting Server API Cisco Meeting Server API structure Use Chrome Postman for information on calls and spaces with the GET command Use Chrome Postman to post a new call space with the POST command Use Chrome Postman to place changes in a space, including adding a member, with the PUT command Use Chrome Postman to delete a space with the DELETE command Module 5: Customization Configuration Create and modify a user profile and assign users Create and modify a dual-tone multifrequency (DTMF) profile and apply to a user profile Modify the interactive voice response (IVR), color scheme, and background Module 6: Planning a Resilient and Scalable Cisco Meeting Server Deployment Resilient server solutions Scalable server solutions Geographically dispersed configurations and GeoDNS Domain Name System (DNS) records required for a resilient and scalable solution Certificate requirements for a resilient and scalable solution Module 7: Configuring a Database Cluster Relationship between cluster master and cluster slaves in a database cluster Certificate requirements for a secure database cluster Configure the certificates for a database cluster Configure a database cluster Module 8: Configuring a Call Bridge Cluster Relationship between the Call Bridge and the Database How cross-cluster spaces behave Configure certificates for Call Bridge clustering Storage of configuration when entering with the API and the individual web interfaces for Lightweight Directory Access Protocol (LDAP) and Call Bridge clustering Configure a Call Bridge Cluster Connect XMPP server to multiple Call Bridges Module 9: Configuring Load Balancers and Trunks Relationship between the XMPP server, Trunk and Load Balancer Configure certificates for multiple trunks and load balancers Configure multiple Trunks to multiple Load Balancers Module 10: Configuring Multiple Web Bridges Relationship between multiple Web Bridges and Call Bridges Internal and external DNS records support for both internal and external Web Bridges Configure certificates for multiple Web Bridges Configure multiple Web bridges Connect multiple Call Bridges to multiple Web Bridges Module 11: Configuring Multiple TURN Servers Relationship between multiple TURN servers and multiple Call Bridges Configure certificates for multiple TURN servers Configure multiple TURN servers Connect multiple Call Bridges to multiple TURN servers Module 12: Configuring Multiple Recorders Features of the recording capability Software, hardware, and licensing requirements for recording DNS records Configure the Recorder Relationship between multiple Recorders and multiple Call Bridges Configure a Call Bridge to use a Recorder Configure certificates for multiple Recorders servers Configure multiple Recorder servers Connect multiple Call Bridges to multiple Recorder servers Module 13: Integrating with a Resilient and Scalable Cisco Meeting Server Deployment Integration with Cisco TelePresence Video Communication Server (VCS) or Cisco Unified Communications Manager and multiple Call Bridges Integration with Cisco Expressway technology and multiple Call Bridges Integration with Microsoft Skype for Business and multiple Call Bridges Integration with Cisco TelePresence Management Suite and multiple Call Bridges Module 14: Deploying an H.323 Gateway Cisco preferred architecture for H.323 and Session Initiation Protocol (SIP) interoperability Functionality of the Cisco Meeting Server H.323 gateway Configuration the Cisco Meeting Server H.323 gateway Module 15: Multitenancy Options Purpose of the multitenancy capabilities Options for multitenancy capabilities on the Cisco Meeting Server Module 16: Customization Options Options available to customize Cisco Meeting Apps License keys required for customization Web Server requirements for customization Options available to customize recorded messaging Customization options available for invitation text

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Make Better Project Decisions with Project Online Projects drive business success. The more information you have about those projects, the better your business will be able to retain customers, gain market share, and be competitive. Microsoft's Project and Portfolio Management (PPM) Solution, often referred to as Project Online, is an ideal way to manage projects. I frequently hear employees say they don't know what projects are active, the status of projects, and they don't know if they are at resource capacity or have idle resources. These questions and more are easily answered with Project Online. Through explanations and demonstrations, you will see how individuals in different roles use Project Online including team members, project managers, resource managers, executives, and PMO staff. You will learn about the capabilities to manage a mix of waterfall and agile projects and how information flows up to dashboard reports. You will learn about the project manager's enhanced capabilities when using Project Professional. The Project Online solution fits businesses of all sizes, from firms with just a handful of employees to multi-national companies.In this presentation we will cover common questions such as 'What software do I need to use Project Online?' and 'Why Should I Choose Microsoft's Enterprise Solution?' References will be provided to help you share answers with others. Attendees will have the option to reach out to the speaker for additional questions.