Data Analytics Fundamentals
Master the basics of data analytics, including data structures, analysis processes, and tools while exploring career opportunities in this growing field.
Master the basics of data analytics, including data structures, analysis processes, and tools while exploring career opportunities in this growing field.
This comprehensive introductory course provides a solid foundation in data analytics fundamentals. Students learn about modern data ecosystems, understanding different roles like Data Analysts, Scientists, and Engineers. The curriculum covers data structures, formats, sources, and repositories, including big data concepts. Participants explore the complete data analytics lifecycle, from data gathering and wrangling to analysis and visualization. The course combines theoretical knowledge with practical hands-on exercises, preparing learners for career opportunities in data analytics.
4.4
(239 ratings)
1,75,491 already enrolled
Instructors:
English
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What you'll learn
Understand the fundamentals of data analytics and key process steps
Differentiate between various data professional roles and responsibilities
Learn about different data structures, formats, and sources
Master the basics of data repositories and ETL processes
Gain practical experience in data gathering, analysis, and visualization
Explore career opportunities and growth paths in data analytics
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 comprehensive course introduces the fundamentals of data analytics to beginners. Participants learn about the modern data ecosystem, including various data roles, structures, and repositories. The curriculum covers the complete data analytics lifecycle, from data gathering and wrangling to analysis and visualization. Students gain practical experience through hands-on exercises and labs, while also exploring career paths and opportunities in the field. The course emphasizes both theoretical understanding and practical application of data analytics concepts.
Fee Structure
Instructor
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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4.4 course rating
239 ratings
Frequently asked questions
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