IBM: Introduction to Data Science and Its Applications
This course is part of IBM: Fundamentos de ciencia de datos.
This comprehensive course provides an introduction to the fascinating world of data science and its practical applications. You'll explore how data science has evolved from ancient practices like Egyptian census analysis to the modern discipline it is today. The course covers fundamental concepts including defining data science, understanding the tools and algorithms used daily in this field, developing essential skills for successful data scientists, understanding data science's role within businesses, and learning how to build effective data science teams. With a focus on both theoretical knowledge and practical applications, this course is designed for beginners interested in starting a career in data science or professionals looking to understand how data science can benefit their organization.
Instructors:
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What you'll learn
Define data science and understand what data scientists analyze Learn about tools and algorithms used daily in the data science field Develop the skills needed to become a successful data scientist Understand the role of data science within an organization Learn how to build an effective data science team
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
Module Description
This course provides a comprehensive introduction to data science and its applications in today's data-driven world. You'll begin by understanding what data science is and how it has evolved over time, from ancient Egyptian practices to modern methodologies. The course explores the essential tools and algorithms used by data scientists daily, helping you grasp the technical foundation of this field. You'll learn about the specific skills needed to become a successful data scientist, including technical capabilities and soft skills. The course also covers the critical role data science plays within organizations, demonstrating how data-driven insights can transform business operations and decision-making processes. Finally, you'll discover how to build and manage an effective data science team, understanding the different roles and how they collaborate to solve complex problems. Throughout the course, you'll gain practical insights from IBM professionals who work with big data daily.
Instructor
Dr. Alex Aklson: Crafting Data-Driven Solutions and Innovating Smart Health Systems at IBM
Dr. Alex Aklson is a data scientist in IBM Canada’s Digital Business Group, where he has contributed to innovative projects, including the development of a smart system to detect early signs of dementia by analyzing walking speed and home activity patterns in older adults. Prior to IBM, Alex worked at Datascope Analytics in Chicago, where he crafted data-driven solutions using a human-centered approach. He holds a Ph.D. in Biomedical Engineering from the University of Toronto.
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Frequently asked questions
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