551 Machine Learning (ML) courses delivered Online

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Learning Outcomes Get an introduction to Python programming Know how to do conditional branching with Python Deepen your knowledge of importing external/internal libraries in Python Learn about project rock, paper and scissors as well as strings operation, time and date in Python Acquire more knowledge about data storage structures, tuples, lists and dictionary Enhance your understanding of import tricks, import operating systems and platforms and exception handling in Python Learn how to instal Packages and Scheduling in Python Description Python is a highly multi-purposeful still easy-to-understand programming language, which is why it is more adaptable all over the world. Whether to make a web application in data science, software engineering, mobile app development, or artificial intelligence - every industry uses Python to accomplish its work. Therefore, if you are planning to pursue a career in these sectors, develop your Python skills with the Diploma In Python Programming course. We made this course with an aim of enhancing your programming language skills in Python and making you job ready. Therefore, this course includes some easy-to-digest modules on topics such as - conditional branching with Python, writing user functions in Python, file handling, reading and writing using Python and many more. Moreover, we will introduce you to the procedure of data storage structures, tuples, lists and dictionaries through Python. Further topics will be discussed in the modules for which you need to enrol in our comprehensive course. So, join this course now to acquire the exclusive knowledge of Python and a CPD certificate of achievement after completing this course. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career path After finishing this course you will get the expertise to aim for a career in the following positions: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst Course Content Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 mm 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00

Overview With the ever-increasing demand for Data Analysis Level 3 Diploma in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Data Analysis Level 3 Diploma may be. Learning about Data Analysis Level 3 Diploma or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Data Analysis Level 3 Diploma . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Data Analysis Level 3 Diploma is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Data Analysis Level 3 Diploma course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Data Analysis Level 3 Diploma course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Data Analysis Level 3 Diploma course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Data Analysis Level 3 Diploma , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Data Analysis Level 3 Diploma , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Data Analysis Level 3 Diploma , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Data Analysis Level 3 Diploma course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1 Introduction to Data Analysis. Introduction to Data Analysis. 00:00 Module 2 Mathematics and Statistics. Mathematics and Statistics. 00:00 Module 3 Data Manipulation. Data Manipulation. 00:00 Module 4 Data Visualisation. Data Visualisation. 00:00 Module 5 Data Wrangling. Data Wrangling. 00:00 Module 6 Data Exploration. Data Exploration. 00:00 Module 7 Machine Learning Fundamentals. Machine Learning Fundamentals. 00:00 Module 8 Machine Learning Algorithms. Machine Learning Algorithms. 00:00 Module 9 Data Analysis with Python and Libraries. Data Analysis with Python and Libraries. 00:00 Module 10 Data Analysis with R and Libraries. Data Analysis with R and Libraries. 00:00

Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days

Do you want to acquire the knowledge that will Help you Understand & Cope with your Asperger's Child? Asperger's syndrome is a developmental disorder that affects a child's ability to socialise and communicate effectively with others. Children with Asperger's syndrome typically present social awkwardness and an all-absorbing interest in specific topics. This course is designed for people who are caregivers for autistic individuals (Parents and Educators). This course aims to help you comprehend the world of Asperger's syndrome, spot the signs and symptoms of the syndrome spectrum so that you can help someone living with such a condition to live a richer life. Course Highlights Asperger Syndrome Awareness is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Asperger Syndrome Awareness into 6 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 3 hours, 17 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Asperger Syndrome Awareness Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Asperger Syndrome Awareness is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Asperger Syndrome Awareness 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Foundations of Artificial Intelligence Module 01: Introduction to Artificial Intelligence 00:21:00 Module 02: Mathematics for AI 00:17:00 Module 03: Knowledge Representation in AI - Part 1 00:18:00 Module 04: Knowledge Representation in AI - Part 2 00:16:00 Module 05: Machine Learning - Part 1 00:16:00 Module 06: Machine Learning - Part 2 00:15:00 Module 07: Deep Learning 00:16:00 Module 08: Natural Language Processing 00:22:00 Module 09: Computer Vision 00:14:00 Module 10: Robotics 00:18:00 Module 11: Building AI Applications 00:24:00

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients. I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results. What you'll learn Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation Access Google Ads tools for forecasting performance Budget Optimisation techniques using regression formula Advanced Concept Testing: moving beyond A/B ad testing to testing concepts Improving Geotargeting for Local Businesses With A Double Campaign Structure How To Setup, Run, Pivot & Interpret the Paid & Organic Report Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report Identify Opportunities Between Organic & Paid Listings Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts How to find the key pitfalls in any Google Ads account How to Audit a new or existing Google Ads account and find issues to improve upon quickly Utilise Dynamic Ad Customisers for more personalised ads Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA Understand attribution models and why the default last click is not always ideal Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach Develop a multi-funnel remarketing strategy for GDN and search campaign Requirements Able to set up your own Google Ads account Be confident navigating Google Ads accounts Basic exposure to excel filtering & pivot tables Introduction 1. Introduction 00:02:00 Testing to Ad Concepts 2. Introduction to Ad Concepts 00:02:00 3.Example Ad Concepts 00:04:00 4. Label Setup 00:04:00 5. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 6. Understanding the usefulness of this report 00:03:00 7.Linking Google Ads with Search Console 00:04:00 8.Excel Report Setup & Pivot 00:04:00 9.Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10.CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11.The theory behind the double campaign 00:04:00 12.A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13.Introduction to Drafts & Experiments 00:05:00 14.Example experiment Ideas for use 00:06:00 15.Draft & Experiment Setup 00:10:00 16.Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreedsheet template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26.GDN Remarketing 00:06:00 27.Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34.What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36.Dynamic Search Ads 00:03:00 37.Smart Bidding Strategies 00:07:00 38.Lookalike Audiences 00:02:00 39.Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40.Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42.Setting up the Business Data Feed 00:06:00 43.Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features in 2018/19 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00

Kickstart your career with our Complete Python from Scratch: Start your career in Python 3+ course. Python is an all-purpose language with one of the biggest and abundant library features. It is used for a wide range of purposes such as web development, scripting, testing, app development, and data science. So it's one of the most sought after skills by employers. The Complete Python from Scratch: Start your career in Python 3+ course is designed to give you a complete understanding of the programming language right from setup to advanced level applications.The experience will provide you with the chance to work in a variety of sectors including web development, machine learning, data security, analytics and so much more. It will prepare you with sound theoretical and practical knowledge of Python programming that will prepare you to work with evidence-based strategies. If you are keen to equip yourself with knowledge of programming with Python and make a strategic career intervention, then choose our Complete Python from Scratch: Start your career in Python 3+ course. Upon completion of this CPD accredited course, you will be awarded a certificate of completion, as proof of your expertise in this field, and you can show off your certificate in your LinkedIn profile and in your resume to impress employers and boost your career. Our Complete Python from Scratch: Start your career in Python 3+ course is packed with 14 modules, with a total of 18 hours of learning materials. You will be able to study this course at your own pace, from anywhere and at any time. Enrol today and upgrade your knowledge on Python programming to lead a more prosperous life.

🚀 Unleash Your Potential with the Information Enterprise Launchpad Course! 🚀 Are you ready to soar to new heights in the digital landscape? Introducing the Information Enterprise Launchpad, your ultimate guide to transforming information into success! 🌐   In today's fast-paced world, information is power. Imagine having the skills and knowledge to harness that power and turn it into a thriving enterprise. Whether you're a seasoned entrepreneur or a budding business enthusiast, this course is designed to propel you forward.   Key Features: Strategic Information Management: Learn to sift through the digital noise and extract valuable insights that can shape your business strategy. We'll guide you through the art of data analysis and interpretation. Innovative Business Models: Discover cutting-edge business models that leverage information as a core asset. From data monetization to creating a digital ecosystem, we'll explore diverse approaches that fit your unique vision. Digital Marketing Mastery: Gain a competitive edge in the digital landscape with our in-depth digital marketing modules. Learn to optimize your online presence, create compelling content, and engage with your audience effectively. Technology Integration: Stay ahead of the curve by understanding how to integrate the latest technologies into your enterprise. From AI and machine learning to blockchain, we'll demystify complex concepts and show you practical applications. Entrepreneurial Mindset Development: Cultivate the mindset of a successful entrepreneur. Overcome challenges, embrace innovation, and develop resilience in the face of uncertainty. Expert-Led Sessions: Benefit from insights shared by industry experts and successful entrepreneurs who have mastered the art of leveraging information for business growth.   What You'll Gain: ✅ Actionable Strategies: Walk away with actionable strategies that you can implement immediately to enhance your business. ✅ Networking Opportunities: Connect with like-minded individuals and industry experts through our exclusive community forums and networking events. ✅ Lifetime Access: Enjoy lifetime access to course materials and updates, ensuring that you stay at the forefront of the ever-evolving digital landscape. ✅ Certificate of Completion: Receive a prestigious certificate upon successfully completing the course, showcasing your expertise in information enterprise.   Don't miss your chance to revolutionize your approach to business in the digital age. The Information Enterprise Launchpad is your ticket to success!   🔥 Enroll now and embark on a journey to transform information into enterprise excellence! 🔥 Course Curriculum

Title: Mastering the Future: Digital Electrical Circuits and Intelligence Electrical Devices Course   Overview: Welcome to a transformative journey into the cutting-edge realm of 'Digital Electrical Circuits and Intelligence Electrical Devices.' In today's rapidly evolving technological landscape, the demand for skilled professionals who can navigate the complexities of digital circuits and intelligent devices is greater than ever. This comprehensive course is designed to equip you with the knowledge and skills needed to not only understand but also master the intricacies of digital electrical circuits and harness the power of intelligent electrical devices.   Key Features: Comprehensive Curriculum: Our course covers a wide spectrum of topics, from the fundamentals of digital electrical circuits to the advanced principles behind intelligent electrical devices. You'll delve into topics such as digital signal processing, microcontrollers, embedded systems, and more. Hands-On Learning: Theory comes to life through hands-on projects and practical exercises. You'll have the opportunity to apply your knowledge in real-world scenarios, ensuring that you not only understand the concepts but can also implement them effectively. Cutting-Edge Technologies: Stay ahead of the curve by learning about the latest advancements in digital circuits and intelligent devices. Explore the world of artificial intelligence, machine learning, and the Internet of Things (IoT) to understand how they intersect with electrical engineering. Expert Instruction: Benefit from the guidance of experienced instructors who bring a wealth of industry knowledge to the classroom. Our instructors are dedicated to your success, providing support and insights throughout the course. Industry-Relevant Projects: Gain practical experience by working on projects that mirror real-world challenges faced by professionals in the field. Build a portfolio that showcases your abilities and sets you apart in a competitive job market. Networking Opportunities: Connect with like-minded individuals and industry experts through networking events, forums, and collaborative projects. Expand your professional network and open doors to new opportunities. Flexible Learning: Designed to accommodate various schedules, our course offers flexibility through online lectures and resources. Access course materials at your own pace, allowing you to balance your learning with other commitments. Certification: Upon successful completion of the course, receive a recognized certification that validates your expertise in digital electrical circuits and intelligent electrical devices, enhancing your credibility in the job market.   Whether you're a seasoned professional looking to upskill or a student aspiring to enter the field of electrical engineering, our 'Digital Electrical Circuits and Intelligence Electrical Devices' course provides the knowledge and practical experience needed to thrive in the dynamic world of technology. Enroll now to embark on a journey towards mastering the future of electrical engineering! Course Curriculum Introduction To Digital Electric Circuits Introduction To Digital Electric Circuits 00:00 Numbering Systems Numbering Systems 00:00 Binary Arithmetic Binary Arithmetic 00:00 Logic Gates Logic Gates 00:00 Flip-Flops Flip-Flops 00:00 Counters Shift Registers Counters Shift Registers 00:00 Adders Adders 00:00

SQL Azure is Microsoft's cloud database service. Based on SQL Server database technology and built on Microsoft's Windows Azure cloud computing platform, SQL Azure enables organizations to store relational data in the cloud and quickly scale the size of their databases up or down as business needs change.  This Azure - SQL focuses primarily on Azure SQL Database as a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software. Learn how to deploy relational and non-relational databases in the cloud and explore the breadth of Azure's data services, from a single database instance to a massive scale data warehouse for working with Big data. You'll gain an understanding of how to configure firewall rules, manage log-ins and users, as well as roles and permissions, perform a database restore, and generally secure an Azure SQL database. Finally, you'll be introduced to Azure SQL Data Warehouse, a fully managed and scalable cloud service, that is compatible with other Azure offerings, such as Machine Learning and Data Factory, as well as existing SQL Server tools. What Will I Learn? Overview and provision Azure SQL Connect to Azure SQL DB and Migrate DB to Azure Work with SQL security and metrics Configure SQL DB auditing Copy and export a database Use DB Self-Service Restore and SQL DB Geo-Replication Who is the target audience? Students wanting an understanding of Azure SQL and to build their skills. Requirements Basic understanding of Azure and SQL concepts Introduction Introduction FREE 00:02:00 Azure SQL Azure SQL 00:02:00 Provisioning Azure SQL 00:06:00 Connecting to Azure SQL DB 00:08:00 Migrating to Azure DB 00:06:00 Understanding SQL Security 00:03:00 Understanding SQL DB Metrics and Auditing 00:05:00 Backing Up and Protecting your Database 00:05:00 Using SQL DB Geo-Replication 00:03:00 Conclusion Course Recap 00:02:00 Course Certification