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Introduction to Data Science

Learn how to extract information from data using data science methods such as classification and clustering algorithms.

Publisher: Channel 9
With strong data science skills, you can turn massive spreadsheets of numbers that nobody can understand into clear information. This will allow you to predict market trends, social changes, investment strategies, even the weather. This course will show you how to extract information from data using data science methods such as classification and clustering algorithms, so you can get all the skills you need to become an in-demand data scientist.
Introduction to Data Science
  • Duration

    1.5-3 Hours
  • Students

  • Accreditation






View course modules


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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