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uCertify has introduced Microsoft Azure Architect Technologies and Design course to help you pass AZ303 and AZ304 exams. This course has been designed for anyone interested in learning about Microsoft Azure products and features, with the goal of eventually earning the Azure Solutions Architect Expert certification. This course is not for complete beginners, but it may help them develop a better understanding of Azure and how to use and configure its products and services. To earn the Azure Solutions Architect Expert certification, you need to understand, design, and implement technical solutions using the following:

• Security and Azure Active Directory
• IaaS, PaaS, and serverless computing models are all available in Azure networking.
• Azure Storage, Azure SQL, and Cosmos DB are all Azure services.
• Compliance, messaging services, and hybrid cloud models
• How to create and program cloud-based applications
• Techniques for deployment and migration
• Surveillance and recovery

That’s a wide spectrum of topics, and the number of circumstances in which they can be used is just as large. This course will provide you with an overview of each of those areas, but you should already be familiar with them.

About Exam

Microsoft Certified: Azure Solutions Architect Expert certification is excellent for job roles such as advising stakeholders and turning business objectives into secure, scalable, and dependable cloud solutions. The certification exam validates that a candidate has the skills and expertise needed to set up and manage an Azure infrastructure, manage security solutions, implement app solutions, and set up and manage data platforms.

So, what are you waiting for? Start your prep for the Microsoft Azure Architect Technologies and Design certification today with uCertify!

Algorithms are the formulas that allow for efficient programming. They show how to sort records, search for items, calculate mathematical values like prime factors, discover the shortest path between two points in a street network, and figure out how much data can flow via a communications network. Using a good algorithm vs a bad algorithm can make the difference between addressing an issue in seconds, hours, or never. Because an algorithm that performs well with one set of data may perform poorly with another, it’s critical to understand how to choose the algorithm that’s right for your situation. Even if none of the algorithms you already know is a great fit for your current circumstance, studying algorithms can teach you general problem-solving approaches that you can apply to new challenges. These strategies allow you to examine new challenges in a variety of ways, to help you design and analyze your own algorithms to solve difficulties and fulfill unanticipated requirements. These approaches may even help you acquire the job where you can utilize them, in addition to helping you handle challenges on the job! Many prominent technological organizations, including Microsoft, Google, Yahoo!, IBM, and others, need their programmers to be familiar with algorithms and problem-solving strategies. During interviews, some of these organizations are known for making job applicants work through algorithmic programming and logic puzzles.

uCertify’s Essential Algorithms course provides an accessible introduction to computer algorithms. It explains a number of significant classical algorithms and when they should be used. It shows how to deconstruct algorithms in order to comprehend their behavior. Most importantly, it shows you how to apply approaches to design your own algorithms. Here are a few of the useful algorithms covered in this course:

• Randomization, factoring, working with prime numbers, and numeric integration are examples of numerical algorithms.
• Common data structures such as arrays, linked lists, trees, and networks provide methods for manipulating them.
• Heaps, trees, balanced trees, and B-trees are examples of more complex data structures.
• Searching and sorting
• Shortest path, spanning tree, topological sorting, and flow computations are examples of network algorithms.

This course includes tasks that will help you master algorithms by allowing you to experiment with different methods to adapt them and apply them to new scenarios. This also aids in the solidification of the algorithms’ core approaches. Finally, this course contains some pointers on how to tackle algorithmic questions in a job interview. Many interview puzzles can be solved using algorithmic techniques. Even if you are unable to solve every challenge using algorithmic strategies, you will have demonstrated that you are familiar with methodologies that can be used to address other difficulties.

So, start learning Essential Algorithms with uCertify!

uCertify’s Keyboarding course provides knowledge of using Word to bare beginner as well as a modestly sophisticated scrivener. It focuses on the needs of new Word users, and it covers all you need to know about Word without the jargon. Each lesson covers a specific topic or task to be done by using Word 2019. Within each lesson, there are self-contained sections, each of which describes how to perform a specific task or get something done. This course covers a variety of topics, some of which are listed below:

• New and improved features found in the latest version of Word
• Create your own templates
• Little-known keyboard shortcuts
• Moving a block
• Check your spelling
• Saving data
• Text-formatting techniques
• Working with tables in Word
• Plopping down a picture
• Mail merge

The course comes with hands-on labs that are virtual environments created to allow you to experiment and apply your knowledge to real-life situations. If you are new to Word and want to spend more time on your actual work rather than figuring out how to make it work for you, this uCertify course is for you. So, what are you waiting for? Enroll in the uCertify course today and start learning!

Developers who display data as powerful and entertaining visualizations are always in demand, especially with so much data being generated on a regular basis. uCertify has introduced Data Visualization with Python course to provide a solid training ground for Python developers, data analysts, and data scientists to enable them to present critical data insights in a way that best captures the user’s attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. The course improves your data exploration skills and serves as a great starting point for your exciting journey of developing interactive data visualizations using Python.

The course starts with a tutorial on how to use Matplotlib and Seaborn, two non-interactive data visualization libraries, to create various plots. You’ll learn how to compare different types of visualizations and how to choose the right one for your needs. You’ll learn the fundamentals of intuitive and convincing data visualization, as well as how to use Altair, Bokeh, and Plotly to turn your images into strong tales after you’ve mastered the various non-interactive visualization tools. You’ll have a new skill set by the end of the course that will make you the go-to person for turning data visualizations into engaging and interesting storytelling.

The reader is carefully guided through the many phases and components of interactive visualization through a series of actual case studies as part of an entertaining syllabus. It’s jam-packed with useful information throughout, and programming activities are complemented by helpful hints and advice on the tools’ capabilities and limits. It teaches you how to:

• Investigate and employ various static and dynamic data visualization strategies.
• Use plot types and features from the Matplotlib, Seaborn, Altair, Bokeh, and Plotly libraries to their full potential.
• To make appealing plots, master the art of selecting acceptable plotting parameters and styles.
• Choose meaningful and useful data presentation methods for your story.
• Create data visualizations tailored to specific circumstances, contexts, and audiences.
• When visualizing data, avoid frequent blunders and omissions.

So, enroll in the Data Visualization with Python course today and start learning.

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