The course Introduction to Data Science will introduce you 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 begins by introducing you to data science. 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.
Next, 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.
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.
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 study. To successfully complete a course you must score 80% or higher in each course assessments. Upon successful completion of a course, you can choose to make your achievement formal by purchasing an official Alison Diploma, Certificate or PDF.
Having an official Alison document is a great way to celebrate and share your success. It is:
- Ideal to include with CVs, job applications and portfolios
- A way to show your ability to learn and achieve high results