Online ExpertTrack in IT & Computer Science

Data Science on Microsoft Azure Using Python Programming

Learn data analysis on Microsoft Azure using Python programming

Created by

CloudSwyft Global Systems, Inc.CloudSwyft Global Systems, Inc.

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Accredited by

MicrosoftMicrosoft

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  • DurationApprox 15 weeks

    5-6 hrs per week

  • CertificatesEarn course Certificates
  • 100% onlineLearn at your own pace
  • Cost$39/monthFind out more
  • LevelIntermediateSee requirements

The basics of data science on Microsoft Azure using Python programming

The goal of good data science is to produce a strong understanding of a problem or idea, and to build useful models based on that understanding. In order to do that effectively, it’s essential that you have the right skills, tools, and analysis techniques available.

Developed as a powerful and flexible language used in everything from data science to cutting-edge Artificial Intelligence solutions, Python has become an essential tool for doing data science and machine learning. This ExpertTrack combines these highly sought-after and lucrative skills to provide you with real-world applications for both.

This ExpertTrack offers you the chance to:

*discover Python programming fundamentals *understand cloud computing and its application in data science *grow your knowledge of Microsoft Azure *start modelling using Azure *learn key skills in applying queries and modifying data *create data visualisations using a range of market-leading tools

Unlock career opportunities in two growing job markets

Growing in-demand skills is key for a long-term career in such turbulent times. Both data science skills and Python programming are in high demand. Data science jobs have grown 37% in the last 3 years, and other roles such as statisticians are also evolving to need more data science skills. The market itself is expected to grow to $274.3 billion by 2022. If you’re interested in a career within this industry, Python is the most-requested skill in data science jobs, so provides you with an excellent base to get you started. .

Practice Python programming

Python provides great functionality for people who routinely deal with maths, statistics, and scientific functions as part of their work. It’s become incredibly popular within data science over recent years as the code takes less time to develop than other programming languages, speeding up the development process and offering more efficiency across departments.

This ExpertTrack offers you a change to familiarise yourself with the language and take the next steps to confidently use it in a professional context.

Explore Microsoft Azure

Throughout this ExpertTrack, you’ll begin to understand support services and cloud computing services on Microsoft Azure, and how they relate to data science projects.

After completing this course, you’ll be familiar with data analysis and inference, data science research design, and experimental data analysis and modeling, and ready to apply them in your career.

Industry statistics

  • Median base salary£45,000
  • UK job openings/month 1,724

Key skills you will learn

  • Data science
  • Microsoft Azure
  • Python programming
  • Data analysis
  • Cloud computing
  • Data modelling
  • Data visualisation
  • Scientific research

Experience required

This ExpertTrack has been developed to kickstart or boost a career in data science. In order to benefit from it, you should have:

*a basic knowledge of maths *some programming experience – ideally using Python *a willingness to learn through self-paced study

Getting started

This professional ExpertTrack is designed for students and working professionals who aim to start their careers in analytics, data science and machine learning. It’s best suited for those who are looking to become IT professionals, data scientists, engineers and analysts, statistics teachers and practitioners, and more generally, those that are interested in learning more about data science.

ExpertTrack course overview

  • Course 1

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

    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

    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

    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

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

    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

    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

How ExpertTracks work

Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.

Join a free 7-day trial

Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.

Keep learning for $39/month

Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.

Earn digital certificates

Receive a certificate for every completed course and pass the final assessment to earn a digital certificate that you can share with your professional network.

Become an expert

Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.

World-class learning with CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.

This ExpertTrack is accredited by Microsoft

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  • Only pay while you’re learning; the subscription will cancel automatically when you finish
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  • FAQ

    ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.

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