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Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Overview This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms comes with accredited certification, 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 Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds. Requirements Our Computer Science: Graph Theory Algorithms 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 Having these various qualifications 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. Course Curriculum 17 sections • 44 lectures • 08:37:00 total length •Promo: 00:03:00 •Introduction: 00:14:00 •Common Problem: 00:10:00 •Depth First Search: 00:11:00 •Breadth First Search: 00:08:00 •Breadth First Search Shortest Path on a Grid: 00:17:00 •Storage and Representation of Trees: 00:10:00 •Beginner Tree Algorithms: 00:10:00 •Rooting Tree: 00:05:00 •Center(s) of a Tree: 00:06:00 •Isomorphisms in Trees: 00:11:00 •Isomorphisms in Trees Source Code: 00:10:00 •Lowest Common Ancestor: 00:17:00 •Topological Sort: 00:14:00 •Shortest and Longest Paths on DAGs: 00:10:00 •Khan's Algorithm: 00:13:00 •Dijkstra's Shortest Path Algorithm: 00:25:00 •Dijkstra's Shortest Path Algorithm Source Code: 00:09:00 •Bellman-Ford Algorithm: 00:15:00 •Floyd-Warshall Algorithm: 00:16:00 •Floyd-Warshall Algorithm Source Code: 00:09:00 •Algorithm to Find Bridges and Articulation Points: 00:20:00 •Algorithm to Find Bridges and Articulation Points Source Code: 00:09:00 •Tarjan's Algorithm for Finding Strongly Connected Components: 00:17:00 •Tarjan's Algorithm for Finding Strongly Connected Components Source Code: 00:07:00 •Travelling Salesman Problem (TSP) with Dynamic Programming: 00:21:00 •Travelling Salesman Problem (TSP) with Dynamic Programming Source Code: 00:14:00 •Existence of Eulerian Paths and Circuit: 00:10:00 •Finding Eulerian Paths and Circuits: 00:16:00 •Eulerian Paths Source Code: 00:08:00 •Prim's Minimum Spanning Tree Algorithm (Lazy Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm ( Eager Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm Source Code ( Eager Version): 00:09:00 •Max Flow Ford-Fulkerson Method: 00:13:00 •Max Flow Ford-Fulkerson Method Source Code: 00:17:00 •Network Flow: Unweighted Bipartite Graph Matching: 00:11:00 •Network Flow: Mice and Owls: 00:08:00 •Network Flow: Elementary Math: 00:11:00 •Network Flow: Edmond-Karp Algorithm: 00:06:00 •Network Flow: Edmond-Karp Algorithm Source Code: 00:10:00 •Network Flow: Capacity Scaling: 00:10:00 •Network Flow: Capacity Scaling Source Code: 00:06:00 •Network Flow: Dinic's Algorithm: 00:12:00 •Network Flow: Dinic's Algorithm Source Code: 00:09:00

PowerPoint for Business in 60 Minutes   Course Description   Copyright Ross Maynard 2021   Course Description Welcome to PowerPoint for Business in 60 Minutes.   Microsoft PowerPoint has been around for nearly 35 years, and I am sure you are familiar with it, and have experienced many PowerPoint presentations – some good; many extremely tedious! Creating a business presentation in PowerPoint presents a number of challenges and there is a danger of “death by PowerPoint”. I recently attended a meeting which was supposed to be a planning discussion but which the person leading the meeting insisted on introducing with a PowerPoint presentation of 60 slides – mostly bullet points! We were hardly in the mood for action planning after that assault on our senses.  PowerPoint is good for presenting business results or for a training course, but you need to plan your slideshow carefully to avoid bullet-point boredom and to keep your audience engaged and interested. And that is the purpose of this course – to teach you PowerPoint techniques which you may not be familiar with, and which will help you improve the impact of your business presentations.   Less is more in a slide show so it is important to use techniques and effects which will help engage your audience and draw their attention to the points that matter.  In “PowerPoint for Business in 60 Minutes”, I cover six key topics that will help you produce more impactful business presentations: The best slide transitions and animations for business presentations The morph transition to make the narration of an agenda, or similar list, or a team photograph extremely slick and professional The Zoom effect to create a summary slide with hyperlinks to zoom into the section that you or your audience choose How to animate charts to highlight the key points you want to bring out How to embed Excel tables with slicers into PowerPoint, and why PowerPoint is not developed enough to make this useful for a business presentation How to turn your PowerPoint presentation into a video. This is the technique I am most often asked how to do.   This is not a full “PowerPoint from scratch” course: it assumes familiarity of Microsoft’s ubiquitous programme. Instead, the course takes only 1 hour of your time to focus on key techniques that can help you improve the impact of the presentations you create.   I hope you enjoy the course.     Key Learning Points  On completion of the course, delegates will be able to: Identify the most useful slide transitions and animations for business presentations Use the morph transition to draw the audience’s attention Create a “zoom” summary slide to jump to user-selected sections of slides Animate charts to highlight key points Embed a Microsoft Excel table in a PowerPoint slide Create a video with commentary of their PowerPoint presentation     Curriculum Lesson 1: Transitions and Animations Lesson 2: The Morph Transition Lesson 3: Zoom Lesson 4: Animating Charts Lesson 5: Excel Tables and Slicers in PowerPoint (or Not!) Lesson 6: Making a PowerPoint Video     Pre-Course Requirements There are no pre-course requirements     Additional Resources None     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What slide effect allows you to give the illusion of moving around a larger “page”? The Wipe transition. The Dissolve transition. The Push transition. The Fly-In animation   What does “Zoom” in PowerPoint allow you to do? Zoom creates the illusion of “zooming in” on a particular part of a slide Zoom creates a summary slide with hyperlinks to the individual slides or sections contained in the summary Zoom creates a smooth object animation from one slide to another to animate, for example, an agenda or timeline Zoom is used to highlight areas of a chart or graphic to draw the audience’s attention   What is the main problem with embedding a Microsoft Excel table with slicers into PowerPoint? The slicers do not work, and the table cannot be manipulated, in presentation mode in PowerPoint The table cannot be opened or manipulated in PowerPoint slide view Microsoft Excel and PowerPoint are incompatible with each other The file size created is too large for most business PCs to handle   When seeking to create an MP4 video file from a PowerPoint presentation, why is it advisable to record the commentary separately? PowerPoint’s built-in recording facility is unreliable and frequently crashes It’s much quicker to record the audio separately and then insert it into PowerPoint and save as a video file Separate video editing software needs to be used to improve the video’s look and sound where the audio is recorded directly in PowerPoint It removes the stress of commentating “live” on the presentation while recording it, and allows any mistakes and errors to be cut out  

Use XCode 9 & Swift 4 to make real iOS 11 apps like Uber and Instagram, with CoreML & ARKit. Includes AWS Credit & more!

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success. Get Free 1 QLS Endorsed Course with Certificate & 10 Additional CPD Accredited Courses In A Single Payment. This Data Analyst (Data Analytics) Bundle Package includes: Course 01: Diploma in Data Analysis at QLS Level 5 10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) - Course 01: Data Analytics with Tableau Course 02: Data Science & Machine Learning with R Course 03: Excel Pivot table for Data analytics Course 04: JavaScript Functions for Data Analyst Course 05: Data analytics with Excel Course 06: Mastering SQL Programming for Data Analyst Course 07: Google Data Studio Course 08: Business Intelligence and Data Mining for Data Analyst Course 09: GDPR Training Course 10: Learn Programming with Python Learning outcome of this Data Analyst (Data Analytics) Bundle: Apply data analyst techniques to modify worksheets effectively. Utilise data analyst strategies for working with lists. Demonstrate proficiency in analyzing data as a data analyst. Visualize data using charts as a data analyst. Employ PivotTables and Pivot Charts for complex Data Analyst Manage multiple worksheets and workbooks efficiently as a data analyst. Use lookup functions and formula auditing for accurate Data Analyst Why Prefer This Data Analyst (Data Analytics) Bundle? FREE certificate on Data Analyst (Data Analytics)accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) bundle materials Data Analyst (Data Analytics) comes with 24/7 tutor support Free assessments available with Data Analyst (Data Analytics) Get a free student ID card! with Data Analyst (Data Analytics) Assessment Process of Data Analyst (Data Analytics) Course: You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics) Requirements You will not need any prior background or expertise to take this Data Analyst (Data Analytics) Career path Data Analyst Retail Data Analyst Statistical Data Analyst Certificates CPD Accredited e-Certificate Digital certificate - Included Diploma in Data Analysis at QLS Level 5 Hard copy certificate - Included

This course is your one stop destination for everything you need to know about Agile Project Management. The course covers core concepts of Agile Scrum, Product ownership, Business analysis, Project delivery, Using User stories and Agile Kanban Productivity and Efficiency. All examples and facts are based on real industry experience and research.

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.

Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.