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Data Science Fundamentals on Microsoft Azure
Learn the basics of data science and use Microsoft Azure while enrolled in the Data Science Fundamentals on Microsoft Azure online course.
Beginner
Online
18 Weeks
Quick facts
particular | details | ||
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Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
5-6 Hours Per Week
|
Course overview
The Data Science Fundamentals on Microsoft Azure online course introduces the basics of data science and how to use Microsoft Azure to create AI solutions. The Data Science Fundamentals on Microsoft Azure certification by FutureLearn is designed for beginners who want to learn the foundations of data science and how to apply them in real-world scenarios using Microsoft Azure.
The course consists of four courses that cover different topics and skills related to data science and Microsoft Azure. You will learn about data analysis, data science research design, experimental data analysis and modelling, and Azure for AI. You will also learn how to use various tools and services on Microsoft Azure, such as Azure Machine Learning, Azure SQL Database, Azure Synapse Analytics, and Azure Cognitive Services. Prior knowledge or experience in data science or Microsoft Azure is not mandatory, but one should have a basic knowledge of maths and a willingness to learn through self-paced study. The course is also suitable for professionals who want to enhance their skills or switch careers in the field of data science and AI.
The highlights
- Approx. 18 Weeks To Complete
- Certification accredited by Microsoft
- Access to Career Opportunities
- 100% online
- Introductory Level Course
Program offerings
- Certification
- Live video
Course and certificate fees
The Data Science Fundamentals on Microsoft Azure certification fee comes at a monthly subscription price of Rs. 900.
Data Science Fundamentals on Microsoft Azure fee structure
Course Name | Fee |
Data Science Fundamentals on Microsoft Azure | Rs. 900 p.m. |
certificate availability
certificate providing authority
Eligibility criteria
Certification Qualifying Details
Completion of Data Science Fundamentals on Microsoft Azure training is enough for certification.
What you will learn
During Data Science Fundamentals on Microsoft Azure classes, participants will be able to:
- The basics of data science and how it can be used to solve real-world problems
- The fundamentals of Microsoft Azure and how to use its tools and services for data analysis and AI
- The mathematical concepts and techniques that are essential for programming and data science
- The syntax and features of Transact-SQL, a powerful query language for working with relational databases
- The principles and methods of data science research design, such as hypothesis testing, experimental design, and data visualisation
Who it is for
The Data Science Fundamentals on Microsoft Azure certification syllabus is for anyone who wants to learn the basics of data science and how to use Microsoft Azure to create AI solutions. It is especially suitable for:
Admission details
Follow the steps below to join the online course.
Step 1- Click on the link below: https://www.futurelearn.com/experttracks/ai-engineer-with-microsoft-azure
Step 2- Register to the Futurelearn platform
Step 3- Subscribe to the FutureLearn service and start learning
The syllabus
Microsoft Future Ready: Azure Cloud Fundamentals
Course Introduction
Azure Fundamentals
- Azure Management Tools
- Networks and Security in Azure
- Azure Governance, Monitoring and Trust
- Privacy, Compliance and Data Protection standards in Azure
- Review and Summary: Security Components
- Azure Pricing and Support
- Review and Summary: Pricing and Support
- Wrap Up and Course Completion
Microsoft Future Ready: Data Query with Transact-SQL (T-SQL)
Course Introduction
- About this Course
- Introduction to Transact-SQL
- Summary and CloudSwyft Hands-On Lab 1
- Querying Tables with SELECT
- Summary and CloudSwyft Hands-On Lab 2
- Wrapping up the Week
Querying, Set Operators, Functions, and Aggregating data
- Querying Multiple Tables with JOIN
- Summary and CloudSwyft Hands-On Lab 3
- Using Set Operators
- Summary and CloudSwyft Hands-On Lab 4
- Using Functions and Aggregating Data
- Summary and CloudSwyft Hands-On Lab 5
- Wrapping up the Week
Subqueries, Table Expressions, Grouping Sets, and Pivoting Data
- Using Subqueries and APPLY
- Summary and CloudSwyft Hands-On Lab 6
- Using Table Expressions
- Summary and CloudSwyft Hands-On Lab 7
- Grouping Sets and Pivoting Data
- Summary and CloudSwyft Hands-On Lab 8
- Wrapping up the Week
Modifying Data, Programming, Errors, and Transactions
- Modifying Data
- Summary and CloudSwyft Hands-On Lab 9
- Programming with Transact SQL
- Summary and CloudSwyft Hands-On Lab 10
- Errors and Transactions
- Summary and CloudSwyft Hands-On Lab 11
- Wrapping up the Course
Introduction to Data Science with Microsoft Azure
Course Introduction
- About this Course
- Becoming a Successful Data Scientist
- An Introduction to Data
- Analysing and Visualising Data
- Wrapping up the Week
Statistics and Machine Learning
- An Introduction to Statistics
- Introduction to Machine Learning
- Wrapping up the Course
Microsoft Future Ready: Ethics and Laws in Data and Analytics
Course Introduction
- About this Course
- Data's Ethical Foundations
- Data's Legal Foundations
- Ethical Data Practice
- CloudSwyft Hands-On Learning: Lab Check 1
- Wrapping Up the Week
Data - Individuals, Society and Business Ethics
- CloudSwyft Hands-On Learning: Lab Check 2
- Data Bias and Identity
- Data Privacy and Power
- Business and Ethical Data Use
- Wrapping Up the Week
Data - Business Law, A.I. and Future Opportunities
- Business and Data Privacy
- CloudSwyft Hands-On Learning: Lab Check 3
- AI and Design
- XAI
- CloudSwyft Hands-On Learning: Lab Check 4
- Course Wrap-Up
Microsoft Future Ready: Essential Mathematics for Machine Learning and AI
Course Introduction
- About this Course
- Algebra Fundamentals
- Exponents and Polynomials
- Factorisation, Quadratic Equations and Functions
- Wrapping Up the Week
Differential Calculus
- Differential Calculus Foundations
- Derivatives
- Differentiation
- Wrapping Up the Week
Vectors and Matrices
- Vectors
- Matrices
- Matrix Transformations
- Wrapping Up the Week
Statistics and Probability
- Visualising Data
- Central Tendencies
- Probability
- Confidence Intervals and Hypothesis Testing
- Wrap Up and Course Completion
Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure
Course Introduction
- About this Course
- Data Science
- The Data Science Process
- Azure and Data Science
- Cloud-based and On-premises Machine Learning
- Wrapping up the Week
Data Science on Azure
- Development platforms and tools
- Introduction to Data Science with Azure Notebooks
- CloudSwyft Hands-On Lab 1
- Introducing the Azure Machine Learning (AML) Service
- Training Machine Learning Models
- Wrapping Up the Week
Azure Machine Learning Service
- Registering and Deploying Models
- CloudSwyft Hands-On Lab 2
- Automating Model Selection with AML Service
- CloudSwyft Hands-On Lab 3
- Managing and Monitoring Models with AML Service
- Wrapping Up the Course
How it helps
Data Science Fundamentals on Microsoft Azure certification benefits include:
- Learn data science and Microsoft Azure basics
- Learn from experts and get feedback
- Develop practical skills and hands-on experience
- Earn a digital certificate and join a global community
FAQs
No, prior knowledge or experience in data science or Microsoft Azure is not mandatory. This course is designed for beginners and covers the fundamentals of both data science and Azure.
The course takes approximately 18 weeks to complete. However, it is self-paced, allowing you to learn at your convenience within that time frame.
The course covers various tools and services on Microsoft Azure, including Azure Machine Learning, Azure SQL Database, Azure Synapse Analytics, and Azure Cognitive Services.
Yes, upon successful completion of the course, you will earn a certification accredited by Microsoft.
Yes, the course is suitable for professionals from diverse backgrounds who want to learn data science and how to use Microsoft Azure for AI solutions. A basic knowledge of mathematics is beneficial.
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