Data Science on Microsoft Azure using R Programming

CloudSwyft Global Systems, Inc via Futurelearn

Intermediate

Online

18 Weeks

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
                                

Microsoft Future Ready: Introduction to Azure Cloud for Data Scientists

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

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

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

Microsoft Future Ready: Introduction to Data Science

Week 1: Course Introduction

About this Course
Becoming a Successful Data Scientist
An Introduction to Data
Analyzing 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

Microsoft Future Ready: Fundamentals to R for Data Science

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

Essential Mathematics for Data Science and Machine Learning: Using R

Week 1: Course Introduction

About this Course
Algebra Fundamentals
Exponents and Polynomials
Factorization, 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

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

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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Data Science on Microsoft Azure using R Programming

Intermediate

Online

18 Weeks

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The syllabus

Microsoft Future Ready: Introduction to Azure Cloud for Data Scientists

Week 1: Course Introduction

Week 2: Azure Fundamentals

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

Week 1: Course Introduction

Week 2: Querying, Set Operators, Functions, and Aggregating data

Week 3: Subqueries, Table Expressions, Grouping Sets, and Pivoting Data

Week 4: Modifying Data, Programming, Errors, and Transactions

Microsoft Future Ready: Introduction to Data Science

Week 1: Course Introduction

Week 2: Statistics and Machine Learning

Microsoft Future Ready: Fundamentals to R for Data Science

Week 1: Course Introduction

Week 2: Matrices, Factors and Lists

Week 3: Data Frames and Graphics

Essential Mathematics for Data Science and Machine Learning: Using R

Week 1: Course Introduction

Week 2: Differential Calculus

Week 3: Vectors and Matrices

Week 4: Statistics and Probability

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

Week 1: Course Introduction

Week 2: Data Science on Azure

Week 3: Azure Machine Learning Service

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