Introduction to Data Science - Revised
Learn how to extract information from data using data science methods, with this introduction to data science course.
Take this certificate on your own.
Start now and learn at your own pace.
CertificationView course modules
With this online course Introduction to Data Science you will be introduced to the field of data science and the methodologies used in the data science process. You will also learn about machine learning and some of its algorithms.
The course starts off with introducing you to data science, where you will learn that data science is an interdisciplinary field that uses scientific processes and systems to extract knowledge or insights from data in its various forms.
After which, you will be introduced to some of the main algorithms that are used in machine learning. You will learn about regression and classification, and about two commonly used clustering algorithms. You will also be introduced to Azure Machine Learning(ML) Studio and why you would use Azure ML Studio for your data science projects.
This free Alison course will be of great interest to learners who would like to learn more about data science, big data and analytics.
Prerequisites: To complete this course you will need a basic knowledge of mathematics, including linear algebra. Additionally, some programming experience, ideally in either R or Python, is assumed.Start Course Now
Overview of Data Science
Overview of Data Science Learning Outcomes
What is data Science
The Data Science Process
Introduction to machine Learning
Overview of Data Science Lesson Summary
Overview of Machine Learning
Overview of Machine Learning - Learning Outcomes
Introduction to Data Science Technologies
Overview of Machine Learning Lesson Summary
Having completed this course you will be able to:
- Describe what data science is used for
- List the stages in the data science process
- Explain what machine learning is and the parts that make it up
- Discuss the use of regression and the different types of regression
- Identify the different types of classification algorithms available for you to use
- Describe how the two most popular clustering algorithms work
- Discuss why you would use Azure ML for your data science projects
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Certificates for completed Certificate courses:
Digital Certificate - a downloadable Certificate in PDF format, immediately available to you when you complete your purchase
Certificate - a physical version of your officially branded and security-marked Certificate, posted to you with FREE shipping
Framed Certificate - a physical version of your officially branded and security-marked Certificate in a stylish frame, posted to you with FREE shipping
All Certificates are available to purchase through the Alison Shop. For more information on purchasing Alison Certificates, please visit our FAQs. If you decide not to purchase your Alison Certificate, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Certificate pricing, please visit our Pricing Page.