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Data Science Methodology Fundamentals
This course is part of multiple programs. Learn more.
Course Cost
₹ 8,650
Beginner
Skill Level
7 Weeks
Self-paced Video lessons
This comprehensive course teaches the fundamental methodology and practices of data science for effective problem-solving. Students learn a structured approach to tackling data science challenges, including identifying problems, collecting and analyzing relevant data, and building appropriate models. The curriculum emphasizes the Cross-Industry Process for Data Mining (CRISP-DM) methodology and its practical application in business scenarios. Through hands-on practice, participants develop skills in managing and analyzing big data while understanding the critical stages of the data science lifecycle.
4.5
17,626 Enrolled
English
What you'll learn
Master the systematic approach to data science problem-solving
Understand and apply the CRISP-DM methodology effectively
Identify appropriate data sources for analysis projects
Develop skills in managing and analyzing big data
Apply data science methods to real-world business scenarios
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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Module Description
This course provides a comprehensive introduction to data science methodology and its practical applications. Students learn the systematic approach to solving data science problems, including problem identification, data collection and analysis, model building, and deployment feedback analysis. The curriculum emphasizes the CRISP-DM methodology while teaching students how to determine appropriate data sources and apply analytical techniques effectively. The course focuses on developing practical skills that can be applied to real-world business challenges.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Data Science Professional Certificate, Data Science Foundations
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.5
87
Reviews
11,24,762
Students
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Courses
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.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.