Online ExpertTrack in Science, Engineering & Maths

Data Science Fundamentals on Microsoft Azure

Investigate Data Science Fundamentals using Microsoft Azure

Created by

CloudSwyft Global Systems, Inc.CloudSwyft Global Systems, Inc.

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Accredited by

MicrosoftMicrosoft

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Use the foundations of data science to develop yours skills in Microsoft Azure

This ExpertTrack will teach you everything you need to know about using Microsoft Azure to implement an AI solution, but does not require expert level coding skills. Instead you will be introduced to each aspect of using Azure for AI

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.

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 and Microsoft Azure skills 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.

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 statistics

  • Median base salary

    £45,000
  • UK job openings/month

    1,724

Key skills you will learn

  • Data science
  • Microsoft Azure
  • Transact-SQL
  • Mathematics for programming
  • Azure for AI
  • Data modelling
  • Cloud Computing

Experience required

This ExpertTrack has been developed to kickstart or boost a career in data science. In order to benefit from it, you should have:

  • a basic knowledge of maths
  • a willingness to learn through self-paced study

Getting started

This professional certificate ExpertTrack is designed for students and working professionals who aim to start their careers in analytics, data science and machine learning. It’s best suited for those who are looking to become IT professionals, data scientists, engineers and analysts, statistics teachers and practitioners, and more generally, those that are interested in learning more about data science.

ExpertTrack course overview

  • Course 1

    This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

    1 test

    2 weeks

    6 hours per week

    • Week 1

      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
    • Week 2

      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
  • Course 2

    Grow your understanding of Transact-SQ and explore the Transact-SQL language.

    4 weeks

    5 hours per week

    • Week 1

      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
    • Week 2

      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
    • Week 3

      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
    • Week 4

      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
  • Course 3

    This course is designed as a progressive step in your data science with Azure journey

    2 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • Becoming a Successful Data Scientist
      • An Introduction to Data
      • Analysing and Visualising Data
      • Wrapping up the Week
    • Week 2

      Statistics and Machine Learning
      • An Introduction to Statistics
      • Introduction to Machine Learning
      • Wrapping up the Course
  • Course 4

    Ethics and Law in Data Analytics

    1 test

    3 weeks

    5 hours per week

    • Week 1

      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
    • Week 2

      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
    • Week 3

      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
  • Course 5

    Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional.

    4 tests

    4 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • Algebra Fundamentals
      • Exponents and Polynomials
      • Factorisation, Quadratic Equations and Functions
      • Wrapping Up the Week
    • Week 2

      Differential Calculus
      • Differential Calculus Foundations
      • Derivatives
      • Differentiation
      • Wrapping Up the Week
    • Week 3

      Vectors and Matrices
      • Vectors
      • Matrices
      • Matrix Transformations
      • Wrapping Up the Week
    • Week 4

      Statistics and Probability
      • Visualising Data
      • Central Tendencies
      • Probability
      • Confidence Intervals and Hypothesis Testing
      • Wrap Up and Course Completion
  • Course 6

    Develop your understanding of how to design and implement a data science solution on Microsoft Azure.

    3 weeks

    6 hours per week

    • Week 1

      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
    • Week 2

      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
    • Week 3

      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

Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.

  • Learn the latest in your chosen industry or subject.
  • Complete each course and pass assessments.
  • Receive certificates validated by the educating organisation.
  • Impress employers with learning outcomes you can add to your CV.
  • Make your career dreams a reality.

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How ExpertTracks work

Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.

Join a free 7-day trial

Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.

Keep learning for $39/month

Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.

Earn digital certificates

Receive a certificate for every completed course and pass the final assessment to earn a digital certificate.

Become an expert

Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.

World-class learning with CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.

This ExpertTrack is accredited by Microsoft

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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Start learning today - free 7-day trial

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  • Have complete control over your subscription; you can cancel any time
  • Work at your own pace and set your own deadlines at every stage
  • Only pay while you’re learning; the subscription will cancel automatically when you finish
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  • Keep access to the content of courses you complete even after your subscription ends

FAQ

ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.

Each ExpertTrack comes with a 7-day free trial period. You may cancel your subscription at any time and your subscription will automatically cancel when you finish the courses and assessments in your chosen ExpertTrack.

Yes. All of our ExpertTracks come with a 7-day free trial. You may claim one free trial period per ExpertTrack.

You have seven days before you will be charged your first monthly subscription fee. When you join an ExpertTrack you automatically receive a 7-day free trial period. You can cancel at any time during the trial period and no payment will be taken from your account.

Please see our full refund policy here.

No, all of our ExpertTracks consist of fully online courses. This means you can take an ExpertTrack from anywhere in the world.

No. ExpertTracks are designed for you to master new skills in a specialist area. You will earn a digital certificate that proves your learning, but it does not carry accreditation.

If you’re looking for certified or accredited courses, many of our microcredentials offer university credit or professional certification.

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