Discover data science fundamentals in this ExpertTrack, using Python and Microsoft Azure

5-6 hrs per week

Approx 15 weeks

Certificates

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100% online

How it works

Cost

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Level

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Median base salary

£45,000

UK job openings/month

1,724

  • Course 1

    Azure Cloud Fundamentals for Data Science with Python

    Learn how to use cloud computing - including Microsoft Azure - to support your data science activities.

    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

    Data Query with Transact-SQL with Python

    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

    Microsoft Future Ready: Introduction to Python Programming

    Uncover how to use Python programming within your data science projects

    3 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • Introduction to Python
      • Introducing Variables and Types
      • Python Lists
      • Subsetting Lists
      • Manipulating Lists
      • Wrapping up the week

    • Week 2

      Introduction to Functions, Methods and Objects
      • Introduction to Functions
      • Methods and Objects
      • Python Packages
      • NumPy and NumPy Arrays
      • 2D NumPy Arrays
      • Basic Statistics with NumPy
      • Wrapping up the Week

    • Week 3

      Boolean Logic, Pandas and Data Visualisation
      • Boolean Logic and Control Flow
      • Pandas
      • Plotting with Matplotlib
      • Histograms
      • Data Visualisation
      • Final Labs and Course Wrap Up

  • Course 4

    Microsoft Future Ready: Data Science Research Methods on Python Programming

    Discover how strong research methodologies will support your data science projects and analysis.

    1 test

    3 weeks

    5 hours per week

    • Week 1

      Course Introduction
      • About this Course
      • The Research Process
      • The Psychology of Providing Data
      • CloudSwyft Hands-On Lab 1
      • Planning for Analysis
      • Wrapping up the Week

    • Week 2

      Research Claims, Measurement and Correlation and Experimental Design
      • Power and Sample Size Planning
      • Research Practices
      • CloudSwyft Hands-On Lab 2
      • Frequency Claims
      • Association Claims
      • Causal Claims
      • CloudSwyft Hands-On Lab 3
      • Wrapping Up the Week

    • Week 3

      Measurement, Correlational and Experimental Design
      • Survey Design and Measurement
      • Reliability and Validity
      • CloudSwyft Hands-On Lab 4
      • Bivariate and Multivariate Designs
      • Between and Within Groups Experimental Designs
      • Factorial Designs
      • CloudSwyft Hands-On Lab 5
      • Wrapping Up the Course

  • Course 5

    Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure

    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

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