Online ExpertTrack in IT & Computer Science

Data Science on Microsoft Azure using R Programming

Gain an introduction to Data Science on Microsoft Azure, develop your data science skills, and learn R Programming

Created by

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

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Accredited by

MicrosoftMicrosoft

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Data Science on Microsoft Azure and learn R Programming

Are you struggling to evaluate the quality of your data to ensure you build accurate and meaningful insights? Learn to do just that with the experts from Cloudswyft.

This ExpertTrack will teach you the fundamentals of data science, from the research process to unlocking the potential of Microsoft Azure and using R programming, an essential tool for conducting real-world data science analysis.

Develop your understanding of cloud services

You’ll learn how to use Microsoft Azure and Amazon Web Services (AWS) to learn about different types of cloud computing and improve your data science processes. With these, you can streamline your delivery of business-critical data analysis. Data science needs powerful tools and you’ll learn how to use Microsoft Azure to support your work, and put this into practice during practical labs.

Understand Transact-SQL

Under the guidance of industry experts Cloudswyft, you’ll develop your Transact-SQL skills and gain first-hand experience of Microsoft Azure and the Azure SQL database. With this knowledge, you’ll be able to conduct more powerful and thorough analysis on data. ##Develop your statistical analysis skills Learn essential statistical analysis skills to help you delve into data and machine learning. From the ExpertTrack, you’ll grow your knowledge of data and learn how to apply foundational statistics to further analyse data.

Learn R programming

R is fast becoming the leading language to use in data science and statistics, making it an extremely valuable skill to have. You’ll learn the fundamentals of R programming before putting this into practice using action-orientated labs.

Refresh your mathematical skills and learn key concepts for machine learning

You’ll focus on key mathematical concepts which relate to machine learning, such as basic algebra, and AI to help you become familiar and comfortable with the maths you may encounter in the field. This ExpertTrack will help you develop your data science skills and understand how to extract accurate insights.

You’ll learn vital techniques in R programming and Transact-SQL to help you delve deeper into data, and understand how to use powerful tools such as Microsoft Azure, Amazon Web Services, and Azure SQL Database. With this knowledge, you’ll feel ready to advance your career in IT, data science, and analytics.

Industry statistics

  • Median base salary£45,000
  • UK job openings/month 1,724

Key skills you will learn

  • Amazon Web Service
  • Mathematics
  • Statistics
  • Transact-SQL
  • Cloud computing services
  • Data Science
  • Microsoft Azure
  • R Programming

Experience required

To complete this course successfully, you should have:

  • A basic knowledge of maths
  • Experience with computers
  • Some programming experience – R is preferred
  • Willingness to learn through self-paced study

Getting started

This course is designed for students and working professionals aiming to start their careers in the analytics, data science, and machine learning skills industries and sectors.

Those 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 will be engaged with this ExpertTrack.

ExpertTrack course overview

  • Course 1

    Develop your understanding of cloud services and learn Azure and Amazon Web Service.

    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

    Transact-SQL is an essential skill for data professionals and developers working with SQL databases.

    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 one advanced next step from the Introduction to Data Science course.

    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

    R is rapidly becoming the leading language in data science and statistics.

    3 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About This Course
      • Introduction to R
      • CloudSwyft Hands-On Lab 1
      • Vectors
      • CloudSwyft Hands-On Lab 2
      • Wrapping Up the Week
    • Week 2

      Matrices, Factors and Lists
      • Matrices
      • CloudSwyft Hands-On Lab 3
      • Factors and Lists
      • CloudSwyft Hands-On Lab 4
      • Wrapping Up the Week
    • Week 3

      Data Frames and Graphics
      • Data Frames
      • CloudSwyft Hands-On Lab 5
      • Graphics
      • CloudSwyft Hands-On Lab 6
      • Wrapping Up the Course
  • Course 5

    This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts.

    4 tests

    4 weeks

    6 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
      • Differentiation and Derivatives
      • Multivariate Differentiation and Integration
      • Week 2 Wrap-Up
    • Week 3

      Vectors and Matrices
      • Vectors
      • Matrices
      • Week 3 Wrap-Up
    • Week 4

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

    • 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

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  • Create a shareable certificate link for your CV and LinkedIn.
  • Impress employers with learning outcomes you can add to your CV.
  • Make your career dreams a reality.

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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

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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.

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