Data Science on Microsoft Azure Using Python Programming

BY
CloudSwyft Global Systems, Inc via Futurelearn

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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