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IBM: Introduction to Data Science

92,00 €

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

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92,00 €

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

Categories ,

Discover the Course

About this course

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.

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
  • Associated programs:
    • Professional Certificate in Data Science Foundations
    • Professional Certificate in Essential Technologies for Business
    • Professional Certificate in IBM Data Science
  • Associated skills:Tax Collections, Big Data, Data Science, Forecasting

What you’ll learn

  • 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

Course Overview

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Practical Impact

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Career & Personal Growth

Advance professionally while growing personally.

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