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.
An Introductory Course by IBM
Welcome to "The Data Science Method," an introductory-level course offered by IBM that will revolutionize your approach to data-driven decision-making. In today's data-rich world, the ability to effectively utilize information is crucial, yet often underutilized. This course is designed to equip you with the essential methods, models, and practices needed to harness the power of data science in solving real-world challenges.
No prior experience or specific skills are required for this course. It is designed for beginners and those looking to enhance their understanding of data science methodologies.
The skills acquired in this course are directly applicable to various industries and roles. Learners will be able to:
While a detailed syllabus is not provided, the course structure likely follows the CRISP-DM methodology, covering:
Each section will likely include lectures, case studies, and hands-on exercises to reinforce learning.
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"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning techniques including their evaluation, frequent itemsets and association rules, sequence mining, process mining, text mining, and responsible data science.
