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

5-6 hrs per week

Approx 18 weeks

Certificates

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Level

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Median base salary

£45,000

UK job openings/month

1,724

  • Course 1

    Microsoft Future Ready: Introduction to Azure Cloud for Data Scientists

    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

    Microsoft Future Ready: Data Query with Transact-SQL (T-SQL)

    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

    Microsoft Future Ready: Introduction to Data Science

    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

    Microsoft Future Ready: Fundamentals to R for Data Science

    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

    Essential Mathematics for Data Science and Machine Learning: Using R

    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

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