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    Data Science on Microsoft Azure Using Python Programming

    BY
    CloudSwyft Global Systems, Inc via Futurelearn

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    Lavel

    Intermediate

    Mode

    Online

    Duration

    15 Weeks

    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 and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Futurelearn

    The syllabus

    Azure Cloud Fundamentals for Data Science with Python

    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

    Data Query with Transact-SQL with Python

    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

    Microsoft Future Ready: Introduction to Python Programming

    Course Introduction
    • About this Course
    • Introduction to Python
    • Introducing Variables and Types
    • Python Lists
    • Subsetting Lists
    • Manipulating Lists
    • Wrapping up the week
    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
    Boolean Logic, Pandas and Data Visualisation
    • Boolean Logic and Control Flow
    • Pandas
    • Plotting with Matplotlib
    • Histograms
    • Data Visualisation
    • Final Labs and Course Wrap Up

    Microsoft Future Ready: Data Science Research Methods on Python Programming

    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
    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
    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

    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

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