Data Science on Microsoft Azure Using Python Programming
Learn Path Description
The basics of data science on Microsoft Azure using Python programming .The goal of good data science is to produce a strong understanding of a problem or idea, and to build useful models based on that understanding. In order to do that effectively, it’s essential that you have the right skills, tools, and analysis techniques available. Developed as a powerful and flexible language used in everything from data science to cutting-edge Artificial Intelligence solutions, Python has become an essential tool for doing data science and machine learning. This ExpertTrack combines these highly sought-after and lucrative skills to provide you with real-world applications for both. This ExpertTrack offers you the chance to: discover Python programming fundamentals understand cloud computing and its application in data science grow your knowledge of Microsoft Azure start modelling using Azure learn key skills in applying queries and modifying data create data visualizations using a range of market-leading tools Unlock career opportunities in two growing job markets Growing in-demand skills is key for a long-term career in such turbulent times. Both data science skills and Python programming are in high demand. Data science jobs have grown 37% in the last 3 years, and other roles such as statisticians are also evolving to need more data science skills. The market itself is expected to grow to $274.3 billion by 2022. If you’re interested in a career within this industry, Python is the most-requested skill in data science jobs, so provides you with an excellent base to get you started. . Practice Python programming Python provides great functionality for people who routinely deal with maths, statistics, and scientific functions as part of their work. It’s become incredibly popular within data science over recent years as the code takes less time to develop than other programming languages, speeding up the development process and offering more efficiency across departments. This ExpertTrack offers you a change to familiarize yourself with the language and take the next steps to confidently use it in a professional context. Explore Microsoft Azure Throughout this ExpertTrack, you’ll begin to understand support services and cloud computing services on Microsoft Azure, and how they relate to data science projects. After completing this course, you’ll be familiar with data analysis and inference, data science research design, and experimental data analysis and modeling, and ready to apply them in your career. Industry statisticsMedian base salary£45,000UK job openings/month 1,724Source: Glassdoor's Best Jobs (2020)
Skills You Will Gain
Courses In This Learning Path
Total Duration
2 weeks
Level
Intermediate
Learn Type
Certifications
Azure Cloud Fundamentals for Data Science with Python
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 possible to increase your knowledge. 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 the various business models for 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 you looking at data science solutions 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 save time on maintenance. This course will cover AWS and how to use it for data projects.
Total Duration
4 weeks
Level
Intermediate
Learn Type
Certifications
Data Query with Transact-SQL with Python
This self-paced course is designed to help developers and data professionals improve their Transact-SQL skills, which are essential for SQL databases. The course covers various modules that focus on querying and modifying data in Microsoft SQL Server and Azure SQL Database. Participants will gain hands-on experience using Transact-SQL without the need to install or configure a database server. The course also covers key aspects of SQL, such as data types, NULL values, querying multiple tables with JOIN, using set operators, functions, and aggregate data. Participants will learn Transact-SQL programming. This course is a continuation of the ExpertTrack courses and will enhance participants' knowledge of Microsoft Azure.
Total Duration
3 weeks
Level
Beginner
Learn Type
Certifications
Microsoft Future Ready: Introduction to Python Programming
Today, Python is the most sought-after skill in data science job advertisements. According to Forbes, the demand for these skills has increased by 435% since 2019. The IEEE Spectrum ranks Python among the top three programming languages.
This course will provide a comprehensive introduction to Python, the programming language used by Instagram and other social media platforms like Netflix, IBM, Netflix and Facebook. This course will teach you data science knowledge and then take you into the world data visualization.
Basic syntax and arithmetic will be taught. You will also learn how to create regular Python lists and modify them. Learn how to create and manage data structures like Python lists, NumPy arrays, and Pandas DataFrame. Also, perform fascinating calculations. Additionally, you will be introduced to Python functions as well as control flow.
You will learn how to create amazing data visualizations using Python. Learn how to create custom plots from real data and create presentations using your own data. This is the next step in getting buy-in for your data analysis.
You'll be better prepared to begin a career as a Python programmer and ready to give employers the most sought-after skill in data science.
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Data Science Research Methods on Python Programming
Data scientists are often focused on data analysis but they need to understand the research process in order to get valid insights. This course will cover the basics of data research, from designing a question to analyzing your results. After completing the course, you will be able to understand basic data analysis, inference and design of data science research. The course will also cover experimental data analysis and modeling. Data is only as good and reliable as the source. Without this information it can be hard to question the validity of your data or make strong statements as a result. This course will teach you how to plan for high-quality analysis and the process of research. This course will help you to understand the process and be able to query external and your own data more effectively for robust analysis. This includes how to partition data and test hypothesis. All labs in this course are performed with Python. The videos, however, are language-independent. You'll have a good understanding of the research process and be able plan for analysis. Additionally, you will know the basics about correlational and experimental design. You will be able to use your skills in Python programming and research methods to develop data science skills that are highly sought after. The industry has seen a 37% increase in jobs over the past three years and a rise in salaries of 11-14% annually. This makes it a great place to begin or change your career.
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure
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
