What is Data Science?
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After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field.
4.7 (74k+ Reviews)

Language
- English
Topic
- Data Science
Enrollment Count
- 81.66K
Skills You Will Learn
- Data Science, Deep Learning, Machine Learning, Big Data, Data Mining
Offered By
- IBMSkillsNetwork
Estimated Effort
- 7 Hours
Platform
- Coursera
Last Update
- March 13, 2025
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science.
In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions.
This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business.
You will meet several data scientists, who will share their insights and experiences in Data Science. By taking this introductory course, you will begin your journey into the thriving field that is Data Science!

Language
- English
Topic
- Data Science
Enrollment Count
- 81.66K
Skills You Will Learn
- Data Science, Deep Learning, Machine Learning, Big Data, Data Mining
Offered By
- IBMSkillsNetwork
Estimated Effort
- 7 Hours
Platform
- Coursera
Last Update
- March 13, 2025
Instructors
Rav Ahuja
Global Program Director, IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.
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