Introduction to Data Science
Learn how to extract information from data using data science methods such as classification and clustering algorithms.
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Data science is the key to modern business, and an incredibly valuable set of knowledge with almost infinite uses. Consequently, data scientists are in demand around the world and have very profitable, secure, and interesting careers. This course is designed to give you all the skills you need to enter the world of data science and get those rewards.
The course will first introduce you to the field of data science and the methodologies used in the data science process. This general overview will make the rest of your data science training much clearer and easier to manage. You will then learn some of the most important algorithms used in machine learning. Next, the course will guide you through regression and classification, and through two of the most commonly used clustering algorithms in data science. You will also be introduced to Azure Machine Learning(ML) Studio and be shown why you would use Azure ML Studio for your data science projects.
By the end of the course, you will be much closer to starting your career in this field. That’s not a bad reward for a course that only takes 3 hours. As a prerequisite for this course, you will need to have some programming in Python knowledge, but don’t worry! You can gain this knowledge with our free Introduction to Programming with Python course. If you don’t already have Python, check out that course. Otherwise, get started on your exploration of data science today!
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Module 1: Overview of Data Science
What is Data Science?
The Data Science Process
Introduction to Machine Learning
Module 2: Overview of Machine Learning
Introduction to Data Science Technologies
Module 3: Introduction to Data Science Assessment
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. - Describe 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 official Certification, which is a great way to share your achievement with the world. Your Alison Certification is:
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Free, Online Introduction to Data Science Course
This Course has been revised!
For a more enjoyable learning experience, we recommend that you study the mobile-friendly republished version of this course.Take me to revised course.