Data Science Fundamentals on Microsoft Azure

Microsoft Azure can help you improve and streamline data science processes. Cloud computing concepts and tools can be used to deliver business-critical data analysis.

It is crucial to find and use the right tools in your organization for data science projects that are robust and efficient. You'll be guided by experts to increase your knowledge of cloud computing and AI usage.

You'll learn about general cloud computing concepts, general cloud computing models and services such as public, private and hybrid cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS).

These cloud computing concepts will be applied by using data science solutions found in Amazon Cloud Services and Microsoft Azure - the market leaders.

Microsoft Azure houses a range of products that can support data analysis, development, and creation. The platform offers many opportunities, including Azure Stream Analytics and Azure Synapse Analytics.

A solid understanding of AWS will allow you to plan the infrastructure that you require for your projects, cut down on costs within your department and spend less time maintaining it. This course will cover AWS and how to use it for data projects.

Microsoft has granted accreditation to this course

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, filtering, aggregation, and highlighting.

The basics of statistical analysis will be covered, including how to measure central tendency, variance and standard deviation. You will also learn about machine learning, including the different types of unsupervised and supervised learning techniques that are used in machine-learning.

Microsoft has granted accreditation to this course

This course is part the Microsoft ExpertTrack Certificate for Data Science and Microsoft Professional Program In Artificial Intelligence.

Individuals, corporations, and governments have the power to use Analytics and AI to achieve real-world results, good or bad.

Data professionals need to have both the frameworks as well as the methods for their jobs today in order to get the best results and be good stewards in today's society.

This course will teach you how to use ethical and legal frameworks in order to support initiatives in the data industry. Practical approaches to solving data and analytics problems that arise from work in Big Data, Data Science and AI will be explored. Additionally, you will explore data-related ethical and legal issues in Analytics and AI.

Microsoft has granted accreditation to this course

For the development of artificial intelligence systems (AI), a solid foundation in mathematics knowledge is essential. What are the essential math skills needed to study machine learning or AI?

This primer course is for you if you don't know much about mathematics or have lost your knowledge.

This course will focus on the three major branches of mathematics that are used in data science, artificial intelligence and calculation: linear algebra and calculus. Learn the fundamental topics in each of these three areas: equations, functions, graphs, differentiation, optimisation, vectors and matrix.

These concepts and techniques will give you the foundational knowledge necessary to launch your machine learning career.

Microsoft has granted accreditation to this course

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