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What is Data Science?

IBM via Coursera


Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field.

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science.

In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions.

This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business.

You will meet several data scientists, who will share their insights and experiences in Data Science. By taking this introductory course, you will begin your journey into the thriving field that is Data Science!


  • Defining Data Science and What Data Scientists Do
    • In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
  • Data Science Topics
    • In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing at New York University, as he talks about data science and the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science. Finally, you will complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
  • Data Science in Business
    • In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable. Finally, you will apply what you learned about data science by answering open-ended questions.

Taught by

Alex Aklson


3.8 rating, based on 4 Class Central reviews

4.7 rating at Coursera based on 60989 ratings

Start your review of What is Data Science?

  • Profile image for Bonny
    Started this through Coursera and then realized I could take it for free (exact same class) through

    Basic information which required no studying, just watching videos and remembering what was presented.

    I preferred the version as it came with an IBM badge and certification, plus I could read the transcripts quickly and move to the next section without having to watch the entire video.

    Either way it was a simple course that I completed in maybe 90 minutes with a score of 100%.
  • Berbelek completed this course, spending 5 hours a week on it and found the course difficulty to be easy.

    Very short introduction to data science. No tools and techniques so far, no statistical or programming background. Just the idea and roots of data science explained. The videos and some point of views are quite interesting, but I'd not call it precisely a course, because there are no knowledge or skills to be learned here.
  • Profile image for Aiena Mehta
    Aiena Mehta
    This course gives a decent overview about data science.

    I personally liked the personal stories of the professor at University of Toronto.
  • Profile image for Maria Clarissa Fionalita
    Maria Clarissa Fionalita
    Nice simple introductory course to Data Science. Helped me learn the basic jargons that every data science noob need to know.

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