Data Science on Microsoft Azure Using Python Programming
Learn data analysis on Microsoft Azure using Python programming
Duration
Approx 15 weeks5-6 hrs per week
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
£45,000UK 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
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
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
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.
Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.
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.
Receive a certificate for every completed course and pass the final assessment to earn a digital certificate.
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
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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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.
Each ExpertTrack comes with a 7-day free trial period. You may cancel your subscription at any time and your subscription will automatically cancel when you finish the courses and assessments in your chosen ExpertTrack.
Yes. All of our ExpertTracks come with a 7-day free trial. You may claim one free trial period per ExpertTrack.
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No. ExpertTracks are designed for you to master new skills in a specialist area. You will earn a digital certificate that proves your learning, but it does not carry accreditation.
If you’re looking for certified or accredited courses, many of our microcredentials offer university credit or professional certification.
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