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.

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 • Regression • Classification • Clustering • Recommendation • Introduction to Data Science Technologies • Overview of Machine Learning Lesson Summary
Course assessment
• Introduction to Data Science - Course Assessment