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Introduction to Data Science with Microsoft Azure

This course is designed as a progressive step in your data science with Azure journey

Introduction to Data Science with Microsoft Azure
  • Duration

    2 weeks
  • Weekly study

    5 hours
  • Included in an ExpertTrack

    Course 3 of 6
  • Get full ExpertTrack access

    $39/monthFind out more
  • Accreditation

    AvailableMore info

Microsoft Future Ready: An Introduction to Data Science

This online course from Microsoft Future Ready and Cloudswyft explores the basics of data, statistics, and machine learning. You’ll discover the basic techniques used in data analysis such as data sorting and filtering, aggregation of data, and highlighting data.

You will also be introduced to the basics of statistical analysis, wherein you’ll learn about measuring central tendency, variance, and standard deviation. Finally, you’ll learn about machine learning and the types of supervised and unsupervised learning techniques used in machine learning.

What topics will you cover?

  • Introduction to Data
  • Analysing and Visualising Data
  • Introduction to Statistics
  • Introduction to Machine Learning

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

Who is this accredited by?

Microsoft
Microsoft:

This course is accredited by Microsoft

Learning on this course

You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Discussed how the Microsoft Data Science curriculum works
  • Explored how to navigate the curriculum and plan your course schedule
  • Collaborated with basic data exploration and visualization techniques in Microsoft Excel
  • Applied foundational statistics that can be used to analyze data

Who is the course for?

This course is designed for students and working professionals that aim to start their careers in the analytics, data science, and machine learning skills industries and sectors.

Who developed the course?

CloudSwyft Global Systems, Inc.

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

About this ExpertTrack

Investigate Data Science Fundamentals using Microsoft Azure

Start learning today - free 7-day trial

After your free trial you can:

  • Pay $39 per month to keep learning online
  • Have complete control over your subscription; you can cancel any time
  • Work at your own pace and set your own deadlines at every stage
  • Only pay while you’re learning; the subscription will cancel automatically when you finish
  • Complete online assessments to test your knowledge and prove your skills
  • Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
  • Keep access to the content of courses you complete even after your subscription ends

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • 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

Want to know more about learning on FutureLearn? Using FutureLearn

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