Data Science on Microsoft Azure using R Programming

This course is part Data Science on Microsoft Azure using R Programming SpecialistTrack. It teaches you the basics of data science research.

Microsoft Azure can help you improve your data science processes. This powerful tool, along with knowledge about cloud computing concepts will allow you to streamline the delivery of critical business data analysis.

Cloudswyft's industry experts will help you to understand the various business models that cloud computing can be used for and the AI use of cloud computing. You can make your data science project more robust and effective by understanding the tools that are available to you.

This course will help you to understand cloud computing concepts and models. You'll also learn about services such as public, private, and hybrid cloud as well as Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), and Infrastructure-as-a-Service (IaaS).

You'll use the best tools available, such as Amazon Web Services (AWS) and Microsoft Azure (Azure Web Services), to apply cloud computing concepts through data science.

We'll show you the various products that Microsoft Azure offers, including Azure Stream Analytics and Azure Data Explorer.

These will be used to support data analytics and development as well as database creation.

You can learn how to prepare the infrastructure that you need for your projects. Reduce your maintenance time and reduce costs in your department with your knowledge of AWS.

This course will cover the AWS features and show you how to use them to your data projects. Microsoft co-created this course and it is officially accredited.

Transact-SQL skills are essential for developers and data professionals working with SQL databases. This self-paced course combines expert instruction, demonstrations, practical labs, and a mix of hands-on practice to help you with your first SELECT statement to create a transactional programmatic logic. Each module will cover a different area of Transact-SQL. The focus is on querying and altering data in Microsoft SQL Server or Azure SQL Database. This course uses a sample database that you can deploy in Azure SQL Database. You will get hands-on experience using Transact-SQL, without having to install or configure a database server.

With a particular focus on querying or modifying data in Microsoft SQL Server and Azure SQL Database, you'll learn key aspects of SQL. Practical aspects of the course focus on data types and NULL, querying multiple table with JOIN, using set operator, functions, and aggregate data. Transact-SQL programming will also be covered. You will also learn how to handle errors. This course builds on the ExpertTrack courses and will increase your knowledge of Microsoft Azure. It will also help you understand how to use SQL within it. Microsoft has approved this course.

This online course by Microsoft Future Ready and Cloudswyft teaches you the basics of data and statistics. Data analysis is a broad field that includes data sorting and filtering as well as aggregation and highlighting. The basics of statistical analysis will also be covered. You will learn how to measure central tendency, variance and standard deviation. You'll also learn about machine learning, including the different types of unsupervised and supervised learning techniques that are used in machine-learning.

Microsoft has co-created this course and it is accredited

R is quickly becoming the most popular language for data science and statistics. R is today the preferred tool for data scientists in all industries and fields. R is the right tool for you, whether you're a full-time data cruncher or a casual analyst.

This course will introduce you to R programming. It will take you through seven sections. You will learn the syntax of R and how to use it to analyze data. The final section will allow you to explore the graphics capabilities of R and create stunning data visualizations. You don't need any prior knowledge of programming or data science.

This course is unique because you'll be able to continuously practice your new skills using interactive in-browser code challenges via the DataCamp platform. Instead of watching videos and passively learning, you will be solving real data problems and receiving personalized feedback to guide you towards the right solution.

This course will give you hands-on experience with R commands.

These are the course outcomes:

R syntax and the basics of R language. How to create visualizations with R using the major R data structures

Microsoft has co-created this course and it is accredited

This course will help you to understand the core concepts and notation upon which machine learning and AI are based. This course does not include a complete math curriculum. This course is not intended to replace college or school math education. It focuses instead on the fundamental mathematical concepts you will encounter in machine learning studies. To get started with equations, functions and basic algebra, we will then move on to differential calculus in order to explore derivatives of optimisation. We will also cover linear algebra, vectors and matrixes before getting into statistics and probability.

You will be able: To apply basic mathematical principles in Data Analytics. Demonstrate you understanding of Quadratic Equations. Demonstrate the understanding of Quadratic Functions. Demonstrate an understanding of Differential Calculus Foundations. Demonstrate an understanding of Vectors. Demonstrate an understanding of Probability. This course was co-created by Microsoft.

This self-paced course was developed by the Microsoft World Wide Learning Team for data scientists with the goal of supporting exam DP100: Designing, Implementing, and Maintaining a Data Science Solution in Azure.

Learn about data science and the solutions that Microsoft Azure offers to support it. Then, you'll learn about machine learning model training and deployment. This will allow you to automate more of your data science projects.

Machine learning is changing the face of many industries, including data science. You'll be guided by industry experts to review the machine-learning capabilities of Microsoft Azure and how you can use them for model training, selection automation, model management, monitoring, and more.

After you have a good understanding of Microsoft Azure's functionality and built a chatbot, you can put it to use by creating a simple chatbot. This gives you the chance to customize and troubleshoot the platform as well as the chance to gain hands-on experience.

The course will equip you with the knowledge and confidence to create and implement an AI-based data science solution using Microsoft Azure.

Microsoft has granted accreditation to this course