What is Data Science?
Discover the fundamentals of data science, its applications, and career opportunities in this comprehensive introduction.
Discover the fundamentals of data science, its applications, and career opportunities in this comprehensive introduction.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Science Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(71,109 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Understand data science fundamentals and applications
Explore career paths in data science
Learn about big data and machine learning
Discover real-world data science applications
Understand the role of AI in data science
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
23 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This introductory course provides a comprehensive overview of data science and its impact across industries. Students learn about the fundamentals of data science, including big data, machine learning, and artificial intelligence. The curriculum covers real-world applications, career paths, and essential skills needed in the field. Through case studies and expert insights, learners gain understanding of how data science is transforming businesses and society.
Defining Data Science and What Data Scientists Do
Module 1 · 2 Hours to complete
Data Science Topics
Module 2 · 3 Hours to complete
Applications and Careers in Data Science
Module 3 · 3 Hours to complete
Data literacy for Data Science (Optional)
Module 4 · 2 Hours to complete
Fee Structure
Instructors
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.
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
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4.7 course rating
71,109 ratings
Frequently asked questions
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