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Data Science Foundations

Sana Salman, Full Bright Scholar, MS, Doctoral Candidate
A foundational level course to get you started with data science, its philosophy, various tools and industry applications
Data Science Foundations - Person 29 4.72 29

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53

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30+ min

Course length

622

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Course Language

English

Course Description

This FREE course on Data Science is an introductory level course on data science. It is designed as a starter course that can lead to advanced data science careers or otherwise. Data Science (DS) is a new, exponentially-growing field, which consists of a set of tools and techniques used to extract useful information from data. Data Science is an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course focuses on practical use cases and scenarios and is designed so as to give the students an understanding of the overall ecosystem of data science.

Course Goals

After taking this course students will be able to:

  • Understand the basic norms of data science
  • Understand the thought process behind building a data science application
  • Build their own data science team according to their specific requirements
  • Know the basic tools of data science
  • Know the algorithms and their applications
  • Get information on the use cases that top industries invest in to get benefit out of data science.

    • Audience

    This course is designed for any and everyone who is curious about data science, wants to start working on it, either hands-on or just for building their understanding. People with business and marketing background can talk to their data science guys on what should be built. Technical people can suggest and recommend use cases to their organizations. For developers who are new to data science, you can roll up your sleeves with this course and deep dive in next advanced courses.

    Topics Covered

  • The philosophy behind data science
  • The right thought process
  • The tools used in data science
  • The Algorithms
  • The use cases for the specific industries

    • Requirements

    There are no particular requirements for this course. Just the right learning attitude!

    Instructor

    Sana Salman has been working in Data science domain for the last 15 years. She has initiated and built data science pipelines in telecom, financial sectors, health and retail. She is a Fulbright scholar and did my MS from WPI, USA. She is currently doing her Doctoral with Macquarie University, Sydney. You can reach her via her LinkedIn profile at Sana Salman

    Other Courses by Instructor

    What you will get upon completion

    You will develop solid foundation of data sciences. After course completion, you can also get a course certificate for a fee that you can show to your prospective or current employer to demonstrate your proof of competency and skill on this subject.

    This is your sample QR verifiable certificate

    Special offers

    No special offers are available at this moment.

    Course Ratings & Reviews

    Data Science Foundations - Person
    29 4.72 29
    (29 Ratings)
    4.72 out of 5 stars

    5 star 83%
    4 star 10%
    3 star 3%
    2 star 3%
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