Data Science Fundamentals on Microsoft Azure by CloudSwyft Global Systems, Inc via Futurelearn: Fee, Duration, How to Apply

Quick Facts

particular	details
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.

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

Yes

certificate providing authority

Futurelearn

Who it is for

Data analyst Data scientist Data engineer Artificial intelligence engineer

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:

Eligibility criteria

Certification Qualifying Details

Completion of Data Science Fundamentals on Microsoft Azure training is enough for certification.

What you will learn

Data science knowledge Knowledge of cloud computing

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

The syllabus

Microsoft Future Ready: Azure Cloud Fundamentals

Course Introduction

About this Course
Cloud Concepts
Review and Summary: Cloud Concepts
Core Azure Architectural Components
Core Azure Services
Azure Products and Solutions
Review and Wrapping up the week

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

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

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

Is any prior experience in data science or Microsoft Azure required for this course?

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.

How long does it take to complete the Data Science Fundamentals on Microsoft Azure online course?

The course takes approximately 18 weeks to complete. However, it is self-paced, allowing you to learn at your convenience within that time frame.

What tools and services on Microsoft Azure will I learn to use during the course?

The course covers various tools and services on Microsoft Azure, including Azure Machine Learning, Azure SQL Database, Azure Synapse Analytics, and Azure Cognitive Services.

Will I receive a certification after completing the Data Science Fundamentals on Microsoft Azure online certification course?

Yes, upon successful completion of the course, you will earn a certification accredited by Microsoft.

Can professionals with non-technical backgrounds enrol in this course?

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.