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Introduction to Data Science Free Course

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  • Description
  • Outcome
  • Certification
  • In this free 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 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 share your success. Plus it’s:

    • Ideal for including in CVs, job applications and portfolios
    • An indication of your ability to learn and achieve high results
    • An incentive to continue to empower yourself through learning
    • A tangible way of supporting the Alison mission to empower people everywhere through education.

Modules List( 3 )
  • Introduction to Data Science
  • Introduction to Data Science - Course Resources
  • Module 1: Overview of Data Science
    • Learning Outcomes
    • What is Data Science?
    • The Data Science Process
    • Introduction to Machine Learning
    • Lesson Summary
  • Module 2: Overview of Machine Learning
    • Learning Outcomes
    • Regression
    • Classification
    • Clustering
    • Recommendation
    • Introduction to Data Science Technologies
    • Lesson Summary
  • END OF COURSE ASSESSMENT
  • Module 3: Introduction to Data Science Assessment
    • Introduction to Data Science Assessment
Topics List ( 5 )
Module 1: Overview of Data Science
In this module you will be introduced to data science. You will learn what data science is and how it’s an evolving subject. You will learn about the stages in the data science process.
Topics List ( 7 )
Module 2: Overview of Machine Learning
In this module you will be introduced to machine learning. You will learn about regression for predicting real valued outcomes, you learn about classification in detail. You will learn two clustering algorithms commonly used. You will learn about using Azure Machine Learning (ML) Studio and why you would use Azure ML Studio for your data science projects.
Topics List ( 1 )
Module 3: Introduction to Data Science Assessment
You must score 80% or more to pass this assessment.
Course Features
  • Duration

    2-3 Hours

  • Publisher

    Channel 9

  • Video

    Yes

  • Audio

    Yes

  • Assessment

    Yes

  • Certification

    Yes

  • Price

    Free

  • Reward

    50 Pts

  • Responsive

    No

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