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IBM: The Data Science Method

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Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

The Data Science Method
7 semanas
3–7 horas por semana
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Comienza el 28 mar
Termina el 30 jun

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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!

Despite and influx in computing power and access to data over the last couple of decades, our ability to use data within the decision-making process is either lost or not maximized all too often. We do not have a strong grasp of the questions asked and how to apply the data correctly to resolve the issues at hand.

The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated to address business and real-world challenges.

You will learn how to identify a problem, collect and analyze data, build a model, and understand the feedback after model deployment.

Advancing your ability to manage, decipher and analyze new and big data is vital to working in data science. By the end of this course, you will have a better understanding of the various stages and requirements of the data science method and be able to apply it to your own work.

Premios

El método de ciencia de datos

De un vistazo

  • Idioma: English
  • Transcripciones de video: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Programas asociados:
  • Habilidades asociadas:Big Data, Problem Solving, Data Science

Lo que aprenderás

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  • Explain why a methodology for approaching data science problems is needed
  • List the major steps involved in tackling a data science problem
  • Determine appropriate data sources for your data science analysis methodology
  • Describe the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study
  • Demonstrate your understanding of the data science methodology by applying it to a problem that you define

Este curso es parte del programa IBM Data Science Professional Certificate

Más información 
Instrucción por expertos
10 cursos de capacitación
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1 año
3 - 6 horas semanales

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