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IBM: Introduction to Data Science

4.5 stars
65 ratings

Learn about the world of data science first-hand from real data scientists.

Introduction to Data Science
6 weeks
3–6 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

150,166 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Feb 23
Ends Jun 30

About this course

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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

The art of uncovering the insights and trends in data has been around for centuries. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science and in this course, you will meet some big data science practitioners and we will get an overview of what data science is today.

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Introduction to Data Science

At a glance

  • Institution: IBM
  • Subject: Data Analysis & Statistics
  • Level: Introductory
  • Prerequisites:
    None
  • Language: English
  • Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文

What you'll learn

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  • Define data science and what data scientists do
  • List the tools and algorithms used on a daily basis within the field
  • Identify the skills needed to be a successful data scientist
  • Describe the role of data science within a business
  • Describe how an effective data science team can be formed

This course is part ofIBM Data Science Professional Certificate Program

Learn more 
Expert instruction
10 skill-building courses
Self-paced
Progress at your own speed
1 year
3 - 6 hours per week

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