This course is part of the Ethics Laws and Implementing an AI Solution on Microsoft Azure ExpertTrack, helping you understand and apply ethical and legal frameworks in data research, analytics and AI.

During this course, you’ll learn the fundamentals of data research including developing good research questions, designing data collection strategies, analysing data and putting results in context. You’ll also understand how data scientists play a key role in the research phase, not just the analysis, and how this will help extract valid insights from your data.

Understand data collection methods and the research process

To help you build the confidence to accurately analyse your data, this course will take you through the full research process. You’ll grow your knowledge of the planning needed for high quality data analysis and learn how to properly query your data for a robust analysis. This includes understanding how to test hypotheses, how to partition data and use inference in order to extra valid results.

Learn how to use and apply Python programming knowledge

During the course, you’ll use Python programming, an essential tool for data science and machine learning. All labs are done with Python, while the videos are language-agnostic, giving you plenty of opportunity to hone your skills with this powerful tool.

Advance your skills in data science

By the end of the course, you’ll understand the research process and develop practical skills across research methods and Python programming, a flexible language used in everything from data science to cutting-edge and scalable AI solutions.

What topics will you cover?

The Research Process
Planning for Analysis
Research claims
Measurement
Correlational and Experimental Designs.

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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.

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Complete each course and pass assessments.
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Learning on this course

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...

Demonstrated an understanding of the planning aspect around data as well as research practices
Explained the different types of claims
Interpreted and understand the different designs
Examined reliability and validity
Identified the goals of research

Who is the course for?

This self-paced course is designed for learners with an interest in using data for research, and methods of wrangling, compiling and presenting data for research.

What software or tools do you need?

Learners will benefit from:

A basic knowledge of math.
Some programming experience – Python is preferred.
A willingness to learn through exploration and perseverance.

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

Build your data science for AI skills with Python and Microsoft Azure, and explore its ethical and legal frameworks.

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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

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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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